AI News, Academic Press Library in Signal Processing, Volume 6

Academic Press Library in Signal Processing, Volume 6

Academic Press Library in Signal Processing, Volume 6: Image and Video Processing and Analysis and Computer Vision is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in both image and video processing and analysis and computer vision.

Academic Press Library in Signal Processing, Volume 6: Image and Video Processing and Analysis and Computer Vision is aimed at university researchers, post graduate students and R&D engineers in the industry, providing a tutorial-based, comprehensive review of key topics and technologies of research in both image and video processing and analysis and computer vision.

Computer vision

Computer vision is an interdisciplinary field that deals with how computers can be made for gaining high-level understanding from digital images or videos.

From the perspective of engineering, it seeks to automate tasks that the human visual system can do.[1][2][3] Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.[4][5][6][7] Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action.

This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.[8] As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images.

From the perspective of engineering, it seeks to automate tasks that the human visual system can do.[1][2][3] 'Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images.

It involves the development of a theoretical and algorithmic basis to achieve automatic visual understanding.'[9] As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images.

The image data can take many forms, such as video sequences, views from multiple cameras, or multi-dimensional data from a medical scanner.[10] As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems.

It was meant to mimic the human visual system, as a stepping stone to endowing robots with intelligent behavior.[11] In 1966, it was believed that this could be achieved through a summer project, by attaching a camera to a computer and having it 'describe what it saw'.[12][13] What distinguished computer vision from the prevalent field of digital image processing at that time was a desire to extract three-dimensional structure from images with the goal of achieving full scene understanding.

Studies in the 1970s formed the early foundations for many of the computer vision algorithms that exist today, including extraction of edges from images, labeling of lines, non-polyhedral and polyhedral modeling, representation of objects as interconnections of smaller structures, optical flow, and motion estimation.[11] The next decade saw studies based on more rigorous mathematical analysis and quantitative aspects of computer vision.

This included image-based rendering, image morphing, view interpolation, panoramic image stitching and early light-field rendering.[11] Recent work has seen the resurgence of feature-based methods, used in conjunction with machine learning techniques and complex optimization frameworks.[15][16] Areas of artificial intelligence deal with autonomous planning or deliberation for robotical systems to navigate through an environment.

Some strands of computer vision research are closely related to the study of biological vision – indeed, just as many strands of AI research are closely tied with research into human consciousness, and the use of stored knowledge to interpret, integrate and utilize visual information.

On the other hand, it appears to be necessary for research groups, scientific journals, conferences and companies to present or market themselves as belonging specifically to one of these fields and, hence, various characterizations which distinguish each of the fields from the others have been presented.

Modern military concepts, such as 'battlefield awareness', imply that various sensors, including image sensors, provide a rich set of information about a combat scene which can be used to support strategic decisions.

Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions.[4][5][6][7] Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that can interface with other thought processes and elicit appropriate action.

This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.[8] The classical problem in computer vision, image processing, and machine vision is that of determining whether or not the image data contains some specific object, feature, or activity.

Several specialized tasks based on recognition exist, such as: Several tasks relate to motion estimation where an image sequence is processed to produce an estimate of the velocity either at each points in the image or in the 3D scene, or even of the camera that produces the images .

By first analysing the image data in terms of the local image structures, such as lines or edges, and then controlling the filtering based on local information from the analysis step, a better level of noise removal is usually obtained compared to the simpler approaches.

Some systems are stand-alone applications which solve a specific measurement or detection problem, while others constitute a sub-system of a larger design which, for example, also contains sub-systems for control of mechanical actuators, planning, information databases, man-machine interfaces, etc.

While inference refers to the process of deriving new, not explicitly represented facts from currently known facts, control refers to the process that selects which of the many inference, search, and matching techniques should be applied at a particular stage of processing.

Inference and control requirements for IUS are: search and hypothesis activation, matching and hypothesis testing, generation and use of expectations, change and focus of attention, certainty and strength of belief, inference and goal satisfaction.[27] There are many kinds of computer vision systems, nevertheless all of them contain these basic elements: a power source, at least one image acquisition device (i.e.

While traditional broadcast and consumer video systems operate at a rate of 30 frames per second, advances in digital signal processing and consumer graphics hardware has made high-speed image acquisition, processing, and display possible for real-time systems on the order of hundreds to thousands of frames per second.

When combined with a high-speed projector, fast image acquisition allows 3D measurement and feature tracking to be realised.[28] Egocentric vision systems are composed of a wearable camera that automatically take pictures from a first-person perspective.

The research topics include but not limited to deep generative modeling, unsupervised representation learning, 3D and spatial-temporal data modeling and analysis, and other supervised visual recognition problems.

Posted on: 3/5/2018 9:33:07 One post-doctoral researcher position is available in the Data Science Lab and the Wireless System Research Lab, McMaster University, Canada to develop novel algorithmic and system solutions to multi-camera target tracking and activity recognition.

You will collaborate with both external and Honeywell-internal customers to define and meet objectives spanning a wide range from early research to all the way through product release.

Together with a team of motivated researchers, your goal is to develop and prototype proof-of-concept solutions for challenging machine vision problems, and we aim for publishing the results at high-impact conferences. Ideally,

you already completed 2-3 years of your PhD studies and have experience in publishing your works in any of CVPR, ICCV, ECCV, NIPS, ICML or PAMI, have been working on deep learning for object recognition, 3D reconstruction, graph-based learning or related fields. The

Posted on: 3/7/2018 11:01:47 In the domain of Information Extraction, the Entity Disambiguation task consists in connecting an entity extracted from a text to known entities in a knowledge base.

This role covers a wide range of challenges, from enhancing our core deep learning models to R&D in object recognition, to working with some of our customers to solve unique problems in their environments. Your

Posted on: 3/8/2018 3:48:25 PhD studentship (salary + fees at UK/EU level) cyber-vulnerabilities in deep learning algorithms for autonomous navigation (with Thales R&D) More info |

Posted on: 3/8/2018 18:30:35 The new tenure tracker is expected to contribute to fundamental research in video understanding via edge computing.

Posted on: 3/9/2018 10:49:27 AiCure is a VC-funded startup that uses artificial intelligence (computer vision, machine learning, and big data) to bring better health, better drugs, and better treatment to everyone on the planet.

are looking a for highly motivated and creative individual who enjoys working in an excellent academic research environment including adequate funding for equipment and conference travel.

further details on the conditions of employment, the hosting institution and the application procedure, please visit http://cvml.ist.ac.at More info |

The research group is affiliated to the Department of Electrical Engineering and Computer Science (EECS) and the Information and Telecommunication Technology Center (ITTC), one of the largest research centers at the University of Kansas, with extensive resources and state-of-the-art facilities supporting various multidisciplinary inquiries.

in CS/ECE/Statistics or related fields or MS with 2+ years research-related experience · Strong expertise in computer vision and machine learning · Publications at top conferences and journals, or successful industry experience · Extensive experience in designing deep convolutional neural networks · Proficient programing skills in C/C++ and Python, experience with ITK preferred

We are looking for passionate, talented computer vision engineers and researchers to help bring cutting edge spatial computing to everyday life. Well-designed

We've laid the groundwork for spatial computing in everyday life by launching apps and a powerful engine for real-time object scanning, indoor mapping and augmented reality. If

Come see what it’s like to take on extraordinary transformations every day, in an environment buzzing with smart people (including our team of world class scientists in areas of NLP, deep learning and speech) who understand and respect what you do.

a member of the deep learning team, you will design, develop, configure and optimize deep neural networks for various tasks such as detection and classification. Ability

a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms.

You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability

a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms.

You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability

a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms.

You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability

a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms.

You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability

a member of the machine language translation team, you utilize your superior technical aptitude and deep understanding of Machine Learning and Natural Language Processing to create the best Machine Translation solutions for our algorithms.

You should be comfortable to also work with a wide array of teams in areas of wellness, healthcare, marketing, business development, psychology, design, user experience and product development. Ability

Machine Learning Research Director will be responsible for supervising research scientists and engineers, providing feedback for projects using ML, including those in other teams, developing and shaping ML projects with respect to the company’s needs, and managing the ML team. You

ML Research Scientist will be responsible for developing novel ML models for projects in the company, like a new TTS model, implementing and improving proposed/existing ML models, and supervising and providing feedback to ML engineers for projects using ML, including those in other teams. You

deploys modern machine learning and statistical methods (CART and Random Forests, clustering and classification algorithms, Bayesian models, neural nets, SVM etc.) for finding patterns/models from audio signals.

Familiarity with large data sets, cloud based development and deployment, open source practices and frameworks and experience in putting an application into production is desirable.

Posted on: 3/13/2018 0:50:53 Prime Air is looking for motivated computer vision and machine learning researchers to develop algorithms for autonomous drones.

would be joining an exciting seed phase start-up company doing large scale 3D architectural scanning and scene understanding with cutting-edge applications in remote viewing, VR, and AR.

Posted on: 3/13/2018 19:12:58 The Postdoc in Deep Learning will work on perception algorithms that use Deep Learning to achieve invariance and robustness to strong environmental changes (HDR scenes, motion blur, illumination, perceptual ambiguities, weather, etc.).

Experience on fundamental computer vision tasks (e.g., image classification, semantic segmentation, object detection, object tracking etc) 2.

Posted on: 3/14/2018 20:58:32 The Interactive Neurorehabilitation Lab at Virginia Tech invites applications for a post-doctoral research position in computer vision and machine learning to work on an exciting project developing home-based interactive systems for unsupervised stroke therapy.

The successful candidate will have a unique opportunity to develop new computer vision techniques and machine learning algorithms in a challenging, impactful, and fast moving research space.

Posted on: 3/15/2018 5:12:39 Are you interested in solving computer vision problems that involve massive video data sets from millions of cameras, hundreds of thousands of on-demand videos or thousand channels of live TV?

Do you want to conduct industry-leading research in content analysis technologies and real-time and cloud computer vision algorithms to create smart digital homes and help millions of households discover and interact with video and music content on their TV, PC, Phone, and Mobile devices?

Posted on: 3/15/2018 11:23:17 The ideal candidate is a driven and talented coder with a proven track record of quickly solving difficult technical problems and a hunger to become a great programmer.

Posted on: 3/15/2018 12:07:23 The ideal candidate is a driven and talented scientist with a proven track record of quickly solving difficult technical problems and a hunger to use computer vision and machine learning to positively impact millions of lives More info |

Posted on: 3/15/2018 12:10:14 Computer Vision Research Engineer The Technology Development Group is exploring exciting new technologies in the areas of computer vision, object recognition, scene understanding, 3d reconstruction, and motion estimation.

As a member of our fast-paced group, you will have the unique and rewarding opportunity to delight and inspire millions of Apple’s customers every day. You will work in a cross-functional team which is researching and developing innovative computer vision algorithms and systems.

We are looking for candidates that are motivated to solve key imaging and computer vision problems that will enable robust robotics and sensing in adverse scenarios in the wild.

believe at interdisciplinary research at Algolux and candidates will be working with a diverse team of imaging, computer vision, optimization, physics, and optics experts.

Perform research that enables modeling and tracking the human body Human body modeling, actively recognition, tracking More info |

Posted on: 3/18/2018 5:37:10 Meituan-Dianping is a world leading life service platform, and Meituan Waimai is the largest on-demand food delivery platform in the world.

Posted on: 3/19/2018 11:05:30 As a Research Scientist at the Biometric R&D team located in Pasadena, California, you will be part of developing the next generation of biometric algorithms while pushing the boundaries of digital image processing, machine learning, biometric identification accuracy and speed for existing technologies in the

Posted on: 3/19/2018 15:59:15 We are looking for a talented deep learning engineer with computer vision experience to join our small but fast growing team.

You will have ownership of a broad mandate of novel 3D deep learning techniques, with applications in semantic segmentation, 3D object classification, pose estimation, geometry prediction, and more. Responsibilities -

(EXP) is seeking strong candidates from junior through senior levels, with 2+ years experience with machine learning approaches and concepts, particularly deep learning.

applicants will support a range of programs and roles, potentially including a combination of conceptual R&D, product development, project management, team leadership, customer engagement and new business development.

Posted on: 3/20/2018 8:28:51 To give our customers a bird's-eye view of their wind turbines (and soon many more assets) we need to review thousands of images and find damages and defects in them.

Posted on: 3/20/2018 12:46:15 We are looking for exceptional individuals to build our vision, to shape, develop and validate our world-changing software and to deliver it into the most exciting market for ML and AI.

be responsible for designing and building both supervised and unsupervised learning technologies to parse objects and determine their state as far as it is relevant to driving decisions.

We are looking for a scientist/engineer with the strong computer vision and machine learning background to build one of the advanced autonomous driving systems in the world.

Posted on: 3/21/2018 17:42:40 Adobe Research is looking for full-time scientists and engineers who are excited to advance the state of the art in technologies of interest to Adobe and the research community at large: Computer Graphics;

Our group is working on extremely challenging research and engineering problems for large scale live and on-demand video understanding using state-of-the-art technologies.

Posted on: 3/22/2018 10:11:44 Ambarella is looking for computer vision and deep learning engineers to work on our next-generation computer vision chips and develop advanced autonomous driving technologies.

We have multiple postdoctoral opportunities to advance new solutions in cardiovascular and ophthalmological biomedical imaging using computer vision and machine learning approaches.

Posted on: 3/23/2018 12:01:09 Title: Semantic segmentation with minimal supervision The goal of this PhD is to study semantic segmentation in images or video with minimal supervision.

As a member, they will be responsible for assisting in the development of the framework our company will use for implementing new geospatial data extraction techniques in products and solutions for our different market verticals.

This person will work closely with our researchers and other subject matter experts to help move exciting new imaging and computer vision technologies out of the lab and into our products.

We are seeking scientists in machine learning and computer vision to conduct ambitious research projects towards assisted and autonomous driving More info |

Powered by deep learning technology and big data from our clinical partners and research collaborators, our cloud-based platform is dedicated to providing precise computer-aided diagnosis and personalized treatment choices for patients and healthcare providers. Job

As part of our core research team, you will design and develop deep learning algorithms for image recognition/retrieval/detection/segmentation/classification on 2D/3D medical imaging data.

The position includes and is not limited to leading a team of engineers and students in fulfilling the deliverables of the project, conducting research and designing and developing algorithms, models as well as techniques for purposes of prediction and estimation of energy consumption, predictive maintenance and data processing.

Posted on: 3/27/2018 2:20:16 iSee AI, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road.

in Computer Science, Electrical Engineering, or a related field, experience with multimodal sensor fusion, deep learning, and/or have expertise in machine learning, computer vision, localization and mapping.

Posted on: 3/27/2018 17:48:41 iSee AI, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road.

Desired Qualifications: MS/PhD degree in Computer Science, Electrical Engineering, or a related field, experience with sensor software development, deep learning, and/or expertise implementing vision and perception algorithms.

Posted on: 3/27/2018 17:52:08 iSee AI, an MIT spinoff, is developing humanistic artificial intelligence for autonomous driving systems that deal with unfamiliar situations and complex interactions on the road.

Desired Qualifications: MS/PhD degree in a machine learning related discipline, familiar with large scale learning, and fluent in a modern programming language, such as C++ and/or Python.

Posted on: 3/27/2018 17:53:45 Immediate opening in the Duke University Biomedical Engineering Department for a Postdoctoral Research Associate interested in interdisciplinary applications of computer vision (especially Deep Learning) with emphasis on applications in novel medical imaging systems (e.g.

Experience in learning and optimization on graphs, on time series, 3D data, videos, and strong math+coding skills would be highly desirable.

We are building autonomous systems and advanced sensor networks to provide real-time situational awareness for our men and women on the front line.

Cogent Labs, we bridge the gap between newly published deep learning academic research and business requirements by developing solutions in different fields, including time series forecasting, information extraction, natural language processing, speech processing, image classification, and reinforcement learning. Requirements PhD

Research Engineers work with Research Scientists on diverse range of problems including: development of algorithms and prototypes, tools and libraries to support research and quick prototyping, data analysis and visualization, experiment design and results reporting. Responsibilities Provide

Our ML engineers work on a diverse range of projects, including: implementing and maintaining Machine Learning models, providing software design and support to scientists, implementing tools and libraries, as well as working closely with our software engineering teams to scale the ML side of our products. Examples

(www.embodied.me) is a growing team of passionate engineers developing products and services that impact people’s quality of life in meaningful ways.

Posted on: 4/5/2018 23:32:53 During the last decade, a huge number of Earth Observation (EO) satellites with optical and Synthetic Aperture Radar sensors onboard have been launched and advances in satellite systems have increased the amount, variety and spatial/spectral resolution of EO data.

This has led to massive EO data archives with huge amount of remote sensing (RS) images with different modalities, from which mining and retrieving useful information are challenging.

In the view of that the research activity of the successful candidate will focus on development of accurate and scalable multi-modal remote sensing image indexing and retrieval methods.

In particular, the successful candidate will develop novel deep hashing networks and related tools that will extract and exploit complementary information among different RS image modalities in the framework of scalable content based RS image retrieval problems.

Posted on: 4/6/2018 7:20:43 DMAI is looking for a full-time Computer Vision Engineer that has a rare combination of skills to push the leading edge in pattern recognition and produce working systems that are demonstrably better than the existing state of the art.

Posted on: 4/6/2018 22:35:02 DMAI is looking for a full-time Deep Learning Research Engineer that has a rare combination of skills to push the leading edge in Deep learning research, and produce working systems that are demonstrably better than the existing state of the art.

Ant Financial was selected as the only financial technology company on the 2017 list of the world’s 50 smartest companies released by the authoritative technology magazine “MIT Technology Review”.The qualified individual will design advanced algorithms for computer vision, implement experimental prototypes, evaluate performance metrics and maintain a characterization lab.

Posted on: 4/9/2018 11:17:43 As a member of our Research Team, you solve research problems that we don’t have solutions for today through a process of prototyping, implementation, measurement, and iteration.

Posted on: 4/10/2018 18:17:08 Lead /senior software engineer, working on cutting edge deep learning technologies and software engineering using C++ and Python.

Foscari university in Venice - Center for Cultural Heritage Technology@CàFoscari (CCHT@CàFoscari) has the mission to research and promote new technologies and to extend existing techniques for preservation and analysis of the invaluable Cultural Heritage assets managed by cities, galleries, libraries, archives and museums across different fields of art. The

IIT Center@CàFoscari coordinator must be an internationally renowned young scientist, with extensive experience in cultural heritage studies and a strong attitude towards new technologies applied to the preservation and digitization of artifacts. A

crucial role will be to foster active collaboration with curators of the unique Venetian heritage and to secure external funding at European level or in collaboration with commercial partners.

Posted on: 4/11/2018 4:14:42 We are opening a postdoc position to work on 3D scene understanding with topics related to recent lab achievements in structure from motion (Magerand &

As this previous work mainly deal with static scenes, the VGM lab will push forward these activities developing computational methods for geometric and semantic understanding in dynamic and non-rigid environments.

The key aspect of the research carried at VGM will focus on the fusion of state of the art deep architectures with 3D reasoning from multi-view images or RGBD data.

Foscari university in Venice - Center for Cultural Heritage Technology@CàFoscari (CCHT@CàFoscari) has the mission to research and promote new technologies and to extend existing techniques for preservation and analysis of the invaluable Cultural Heritage assets managed by cities, galleries, libraries, archives and museums across different fields of art. CCHT@CàFoscari

selected candidate will join an interdisciplinary team of researchers, contributing to the development of next generation 3D digitisation and machine learning approaches applied to the Cultural Heritage domain.

We are looking for a talented and enthusiastic software engineer who will join our team to develop methods and algorithms for 3D reconstruction from images and depth sensors.

Posted on: 4/11/2018 7:59:31 HERE is searching for an experienced lead software engineer to work on our next generation 3D high definition map technology for autonomous d riving.

This is an excellent opportunities to lead an energenic team developing creative and cutting-edge deep learning technologies for automating complex image and Lidar data processing and recognition. Responsibilities

Posted on: 4/11/2018 15:30:44 DeepScale is currently looking for an experienced Deep Learning Research Scientist who's interested in working on challenging problems using machine learning and deep learning techniques.

Posted on: 4/13/2018 3:10:36 We are looking for motivated and enthusiastic technical professionals for multiple openings for Senior Machine Learning Engineers / Researchers in a fast growing team of high-energy and world-class talent.

is a well-funded start-up company focused on developing game-changing products, using cutting edge technology in the markets of next generation financial systems, investment platforms, education, Fintech, multimedia streaming and others.

Selected candidates are to play a key role in the creation, design and implementation of machine learning algorithms, including deep learning, in our products.

Scalable Health (sh.rice.edu) is working closely with Baylor College of Medicine on developing new sensors, devices and ML-based analytics to detect these issues, and develop methods to break this healthcare barrier.

In addition to the above problem area, the Scalable Health is working on many large healthcare challenges, like chronic diseases (NSF ERC PATHS-UP, pathsup.org) and deep-tissue non-invasive bio-imaging (NSF Expeditions in Computing, seebelowtheskin.rice.edu), which uses machine learning as a key building block in large complex healthcare challenges and have access to a growing corpus of unique datasets.

In this exciting post-doc opportunity, you will have an opportunity to work in a multi-disciplinary and highly motivated team, to tackle some of the most gnarly challenges and further the field of ML to have a real impact on healthcare.

Posted on: 4/15/2018 20:11:44 Institute for Datability Science (IDS), Osaka University is newly founded in April 2016 to facilitate “data-driven” research projects by offering experienced experts to researchers in Osaka University (http://www.ids.osaka-u.ac.jp/en/).

The candidate will be assigned based on one’s expertise to some interdisciplinary projects in the fields of medicine, dentistry, pharmacy, science, engineering, humanity, and sociology.

Posted on: 4/16/2018 0:29:58 Institute for Datability Science (IDS), Osaka University is newly founded in April 2016 to facilitate “data-driven” research projects by offering experienced experts to researchers in Osaka University (http://www.ids.osaka-u.ac.jp/en/).

The ideal candidate is a driven and talented coder with a proven track record of quickly solving difficult technical problems and a hunger to become a great programmer.

The ideal candidate is a driven and talented coder with a proven track record of quickly solving difficult technical problems and a hunger to become a great programmer.

The ideal candidate is a driven and talented scientist with a proven track record of quickly solving difficult technical problems and a hunger to use computer vision and machine learning to positively impact millions of lives.

Optional: Knowledge in the area of medical imaging, image registration, or medical tracking technologies (e.g.

This position will help design and develop methodologies that are required to analyze, correlate, and improve the image quality of GoPro's camera product line.

Specifically, responsibilities include performing per camera calibration, tuning various DSP blocks to improve image quality, and performing root cause analysis of image artifacts or poor image quality performance.

Posted on: 4/16/2018 19:14:26 As a Data Scientist at Farfetch, you will contribute to building the next-generation search and natural language interfaces that apply semantic technology to match user intent and interests with products.

It involves query understanding but also scoring and ranking of results, and everything else we need to do to deliver the right results to the right customers at the right time.

(https://foresight.ai) is an AI and robotics technology company founded in Silicon Valley that builds global-scale data platforms empowering autonomous transportation (e.g., self-driving cars, delivery robots).

We offer critical software and data services to automotive, transportation, and logistics industries through the use of advanced computer vision, machine learning, robotics technologies, and scalable data processing solutions.

(https://foresight.ai) is an AI and robotics technology company founded in Silicon Valley that builds global-scale data platforms empowering autonomous transportation (e.g., self-driving cars, delivery robots).

We offer critical software and data services to automotive, transportation, and logistics industries through the use of advanced computer vision, machine learning, robotics technologies, and scalable data processing solutions.

Posted on: 4/17/2018 17:13:17 Research and development for applications in augmented reality for beauty (face detection, facial alignment, facial components segmentation, skin analysis, ...) More info |

Posted on: 4/18/2018 13:18:48 We are looking for talented, driven and autonomous candidates who are excited about deep-learning, and radiogenomics (radiomics) in healthcare applications.

candidates should apply by sending a brief cover letter describing their previous research experience and current interests, curriculum vitae including publication list and the names of two professional references to ahmad1chaddad@gmail.com.

You value collaboration and want to work closely with others in the company, including research, backend, infrastructure, product, frontend, and design.

Posted on: 4/19/2018 10:05:47 Onera (the French Aerospace Lab) and iXblue (French leader in inertial localization systems) propose a post-doc position in the framework of the 3-years ANR MALIN project: a challenge on pedestrian indoor localization.

The localization system is based on loose fusion of multi-camera visual odometry and inertial measurements provided by a high performance inertial unit and research will focus on visual relocalisation and calibration.

Posted on: 4/19/2018 20:48:35 We are looking for a customer-obsessed candidate to join our team in Seattle and build the computer vision systems and other AI technology that makes Global work.

You will work alongside a group of experienced research scientists and software development engineers to research cutting edge computer vision algorithms and develop production-level software.

You will contribute to the development and growth of technologies like object localization, visual feature extraction, visual search engine, multi-modal search, and other deep learning algorithms.

Posted on: 4/20/2018 15:36:42 As a data scientist you will use your knowledge to build algorithms that help us with automatic understanding of text (NLP/Information extraction/deep learning), and robust scalable and maintainable machine learning models.

You will bring scientific rigor to problem solving and provide key inputs to business and engineering teams on overall strategy for catalog/search and recommendation.

Posted on: 4/20/2018 15:41:49 As an applied machine learning engineer you will use your knowledge to build algorithms that help us with automatic understanding of text (NLP/Information extraction/machine learning), and robust scalable and maintainable machine learning models.

You will bring scientific rigor to problem solving and provide key inputs to business and engineering teams on overall strategy for search and recommendation.

Posted on: 4/20/2018 15:51:43 By leveraging state-of-the-art Big Data technologies and machine learning expertise, we build a data-driven culture for fraud detection and risk management.

As a Director of Data Science, you will lead a team to build up anti-fraud data models using machine learning technology and play an active role in company's anti-fraud platform strategy.

Posted on: 4/22/2018 22:07:54 This project aims to develop novel dynamic scene reconstruction techniques that are capable of producing temporally-coherent, dense, textured, time-varying 3D geometry from dynamic real-world environments from one or more standard or 360-degree video cameras.

In particular, the goal is to convincingly reconstruct the visual dynamics of the real world, such as people and moving animals or plants, so that the reconstructed dynamic geometry can provide the foundation for a novel video-based rendering approach that synthesises visually plausible novel views with 6 degrees-of-freedom for the specific head position and orientation of a viewer in VR.

Posted on: 4/23/2018 8:52:13 Univrses is an embedded computer vision and deep learning company, delivering ground breaking solutions to clients with computer vision and artificial intelligence needs.

The specific postdoc position will focus on developing quantitative imaging analysis and machine/deep learning methods, and apply them to large-scale clinical studies.

This is a broad problem, and may include extracting and using data from live video using computer vision (CV), or from chat using natural language processing (NLP).

By improving Twitch’s recommendation products using machine learning, you will help Twitch’s viewers have a great experience, and help Twitch’s broadcasters find more passionate fans.

Posted on: 4/24/2018 19:04:44 As a data scientist / machine learning engineer, you will spend a mix of your time researching new solutions for product classification as well as productionizing these solutions to make sure they work at scale.

was founded by proven entrepreneurs and, as a Rakuten group company, offers the best of both worlds: a start­up environment with the backing of an established global enterprise that is revolutionizing the internet services landscape. This

Posted on: 4/25/2018 13:12:19 As a data scientist / machine learning engineer, you will spend a mix of your time researching new solutions for information extraction as well as productionizing these solutions to make sure they work at scale.

was founded by proven entrepreneurs and, as a Rakuten group company, offers the best of both worlds: a start­up environment with the backing of an established global enterprise that is revolutionizing the internet services landscape. This

Posted on: 4/25/2018 13:13:54 Iris Automation engineers are at the center of our core mission: building state of the art technologies that enable drones and autonomous vehicles to perceive, understand, and navigate the world we live in.

Posted on: 4/25/2018 14:57:24 Research on computer vision algorithms (including but not limited to object detection, segmentation and classification etc.) or deep Learning technologies (including various neural networks and their applications).

Efficiently apply the algorithms to the real medical field, and also continuously optimize and customize the application scenarios based on the understanding of the internal platform mechanism.

Xilinx uniquely enables applications that are both software-defined, yet hardware optimized - enabling smart, connected and differentiated applications across technology's biggest megatrends, including Machine Learning, 5G Wireless, Embedded Vision, Industrial IoT and Cloud Computing and more. You

Xilinx uniquely enables applications that are both software-defined, yet hardware optimized - enabling smart, connected and differentiated applications across technology's biggest megatrends, including Machine Learning, 5G Wireless, Embedded Vision, Industrial IoT and Cloud Computing and more. Responsibilities

• Design and modify machine learning models: reduce computational complexity by model optimization, computation using lower precision arithmetic, data flow reordering for memory bandwidth optimizations

Xilinx uniquely enables applications that are both software-defined, yet hardware optimized - enabling smart, connected and differentiated applications across technology's biggest megatrends, including Machine Learning, 5G Wireless, Embedded Vision, Industrial IoT and Cloud Computing and more. In

this role, you will be working on the bleeding edge of commercial computer vision applications using software acceleration technology to help customers get their platforms up and running.

You will be working very closely with customers, partners, FAEs and Xilinx R&D to ensure successful deployment of the technology and rapid resolution of issues and translate feedback into product enhancements in the SDSoC tool chain and the reVISION stack.

Xilinx uniquely enables applications that are both software-defined, yet hardware optimized - enabling smart, connected and differentiated applications across technology's biggest megatrends, including Machine Learning, 5G Wireless, Embedded Vision, Industrial IoT and Cloud Computing and more. Responsibilities • Contribute

Ideal candidates should have background in Computer Vision, Computer Graphics, Machine Learning or related fields, a track record of publications in international conferences and journals, as well as strong passion of using AI to change your daily life.

Your responsibility is straightforward yet challenging: create technologies that will provide strategic advantages in company's core products and foster new tech driven applications that will disrupt the industry.

Ideal candidates should have background in Computer Vision, Computer Graphics, Machine Learning or related fields, a track record of publications in international conferences and journals, as well as strong passion of using AI to change your daily life.

Your responsibility is straightforward yet challenging: create technologies that will provide strategic advantages in company's core products and foster new tech driven applications that will disrupt the industry.

am hiring computer vision engineers or technical lead or managers at all levels including intern, engineer, senior engineer, lead engineer, principal engineer, engineering manager and senior engineering manager to work on cutting-edge HD mapping for automated driving with a world-class researchers and developers in computer vision. HERE

Technologies is a leading open location platform company providing digital map, traffic and other location data and services that enable navigation and location intelligence around the world.

Posted on: 4/27/2018 21:37:23 As a Research Engineer collaborating with members of our team, you will contribute to the advancement of cutting-edge prototype solutions by developing computer vision algorithms and software implementations, using 3D sensors, image sensors, and other data sources.

foundation in machine learning, including latest advances in deep neural networks and on turning machine learning technologies into practical system implementations.

Posted on: 4/27/2018 21:42:58 Jumio is the leading global online identity verification company that helps businesses reduce fraud and increase revenue while providing a seamless customer experience.

Jumio uses computer vision technology, machine learning and live verification experts to verify credentials (e.g., passports, ID cards, etc.) and to verify a user’s real-world identity in seconds.

Posted on: 4/30/2018 5:21:06 The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking two (2) postdoctoral researchers (36 months) and one (1) research assistant (12 months, extendable to 24) in deep learning for action recognition in surgical robotics, to start as soon as possible. The

We work closely with clinicians to solve critical problems in patient care – our goal is to make real products that make a real difference in the hospital.

We work closely with clinicians to solve critical problems in patient care – our goal is to make real products that make a real difference in the hospital.

postdoctoral position and an engineering research scientist position are available to develop technology to merge medical imaging data with the real world using augmented reality within the laboratory of Dr. Jennifer McNab, Assistant Professor of Radiology, Stanford University.

Posted on: 4/30/2018 18:11:39 UC is currently seeking a Machine Learning (ML) / Artificial Intelligence (AI) Scientist to support a diverse range of programs including: collaborative UAV navigation, scene understanding and activity/event analysis in video tracks, situated and collaborative agent theories, object detection from SONAR images, taxonomy classification, medical diagnostics and training, and many problems in computer vision-aided detection, tracking and classification.

You will use your expertise and intuitive understanding of algorithms to guide and participate in software development and lead the team to build effective, high-performance and maintainable technology that solves complex problems efficiently.

In this role, the candidate will be required to actively take part in UC’s technology development pertaining to machine vision, planning and control for robotic systems and unmanned system autonomy algorithms, as well as software implementation thereof.

The candidate will be responsible for designing and developing detect and avoid systems, control and collision warning systems, unmanned aircraft models and computer vision algorithms.

The candidate will use her/his expertise and deep understanding of algorithms to guide and participate in R&D and software development in conjunction with other team members in order to build effective, efficient, high-performance and maintainable technologies that solve complex problems.

Posted on: 4/30/2018 19:52:38 Work as part of team to develop and deploy creative new computer vision and machine learning algorithm for real time tracking, video analysis, camera calibration and 3d reconstruction.

This role will include designing/implementing machine learning, computer vision algorithms, data analysis and software engineering to build reliable and high performance systems.

Ant Financial was selected as the only financial technology company on the 2017 list of the world’s 50 smartest companies released by the authoritative technology magazine “MIT Technology Review”.The qualified individual will design advanced algorithms for computer vision, implement experimental prototypes, evaluate performance metrics and maintain a characterization lab.

Posted on: 5/3/2018 1:52:04 The goal of this post-doc is to study deep learning methods for visual representations that are in the intersection of learning with little or no supervision and learning lightweight network architectures for use under limited resources, like mobile devices.

The role will include designing solutions using cutting edge computer vision to enhance our existing use of captured images to meet functional, performance and reliability targets.

The applicant should have a PhD in a computer vision topic, expertise in machine vision algorithms and their practical implementation with at least 2 years post-doctoral experience of research and development in computer vision relating to 2D or 3D imaging.

Posted on: 5/3/2018 14:13:02 The research scientist will work with an innovative and passionate team to develop deep learning and artificial intelligence technologies for medical imaging applications.

Posted on: 5/3/2018 18:05:08 1. Develop state-of-the-art computer vision algorithms of image search, image quality analysis, image content understanding, image enhancement and related fields. 2. Work

Posted on: 5/3/2018 22:33:45 1. Develop and optimize 3d vision algorithms including feature extraction, camera calibration, sensor fusion (Camera/IMU/GPS), object tracking, SLAM, 3D reconstruction etc. 2. Explore

and develop algorithms in the interdisciplinary field of computer vision and graphics including but not limited to human pose extraction, animation, ambient light estimation, photo realistic rendering and so on. 3. Work

The candidates must have a strong publication record on problems relating to video analysis (e.g., action recognition, motion estimation, tracking, spatiotemporal feature learning, future frame prediction, object detection in video).

The University's AI Cluster is now recruiting a number of full-time faculty members at all grades from Assistant Professor to Full Professor who have a strong passion in interdisciplinary research as well as a strong research track record in Data Analytics and AI algorithms or their applications to Chinese Medicine, Healthcare, Journalism, and Media.

They will be working collaboratively towards interdisciplinary research challenges including data-driven drug discovery for Chinese medicine (TCM), evidence-based TCM knowledge graph development, automated news writing, visual analytics for investigative reporting, etc.

Posted on: 5/7/2018 4:43:05 Aurora is seeking a dynamic individual who can aid in Aurora’s efforts to perform novel perception experiments on unmanned aerial systems (UAS).

Qualified candidates will be expected to have experience in optical systems hardware and computer vision software to architect vehicle autonomy solution using vision-based localization and mapping algorithms.

state-of-the-art computer vision algorithms of image search, image quality analysis, image content understanding, image enhancement and related fields. 2. Work

and develop algorithms in the interdisciplinary field of computer vision and graphics including but not limited to human pose extraction, animation, ambient light estimation, photo realistic rendering and so on. 3. Work

Posted on: 5/8/2018 0:06:49 Do you want to work for one of the world's leading research organisations, live in a city with extremely high standard of living, enjoy pristine beaches and sun all year round, and still carry out ground breaking Machine Learning research to solve real-world challenges?

We currently have technical staff opportunities available for different areas in Computer Vision, Robotics, AI and Machine Learning including: computational sensing, 2D/3D reasoning, vision analytics, explainable AI, life-long learning, and human behavior modeling.

Posted on: 5/8/2018 19:48:42 Artificial intelligence techniques can support the engineer by proposing novel combinations of familiar ideas and concepts, performing active exploration of design spaces and by employing transformations in order to open up new concepts.

Apply analytics and machine learning to improve content analysis, computer vision, deep learning, natural language processing and content ranking &

Posted on: 5/9/2018 14:58:12 Researchers within the Brain-Inspired Computing Lab partner with other Intel teams and researchers at universities around the world to develop neuroscientifically-inspired learning algorithms and technologies that make new computing possible.

years of experience in data mining and modeling, and skilled one of technology and applications at minimum: 1)Logistic regression, Random forest, Deep learning, and their applications in risk control.

Posted on: 5/9/2018 22:58:38 The Technology Development Group at Apple is looking for a driven and dedicated sensor calibration engineer with a strong understanding of 2D-3D geometry, multi-camera(RGBD)/IMU calibration and good development skills.

You will work on developing factory and runtime calibration routines for Apple devices and push the state of the art to provide our customers with well calibrated delightful products.

Posted on: 5/10/2018 3:24:54 The Technology Development Group is exploring exciting new technologies in the areas of computer vision, object detection, 3d reconstruction, and motion estimation.

Posted on: 5/10/2018 3:27:22 Securitas Group, the world-leading security company with 330,000 employees world-wide is seeking computer vision engineers and scientists for its computer vision team within Securitas Intelligent Services based in Malmö, Sweden for developing computer vision solutions for detection, recognition and tracking of objects at different scales (single camera to network of cameras). If

In collaboration with cross-functional Watson Health teams, IBM Research and external partners, the team develops cognitive solutions that combine imaging and clinical data to enhance clinical decision making.

The team is responsible for developing and validating robust and scalable cognitive services (text analytics and image analytics) and applications, including validation and evaluation of technologies being transferred from Research and other collaborators.

Posted on: 5/10/2018 18:34:31 An exciting opportunity for a highly motivated scientist to work independently and creatively on various research topics in the field of eye care within a dedicated R&D laboratory, while contributing to interdisciplinary projects with global impact.

will design and develop core algorithms, conduct experiments, and evaluate performance to help deliver the best suitable solution for our platform applications.

You will mainly responsible for one or more of the following directions: research, design and implement advanced algorithms for 3D scene recognition, image/video analysis, image classification/recognition, 3D reconstruction.

Posted on: 5/11/2018 12:09:11 You will design and develop core algorithms, conduct experiments, and evaluate performance to help deliver the best suitable solution for our platform applications.

Posted on: 5/11/2018 13:57:47 Netflix is seeking a passionate and talented computer vision expert to help portray the shows in our catalog and make them resonate with our subscribers.

In this role, you will develop new vision algorithms that will help curate our visual assets such as artwork and trailers and harness them within the product for a personalized experience.

Posted on: 5/11/2018 14:51:37 Applications are invited for a 2 to 3-year computational postdoctoral research position in the Deep Learning for Precision Health lab, dedicated to advancing the theory &

Applied projects include advancing the state-of-the-art in methods for: 1) discovering image-based biomarkers, including advanced brain connectivity measures for disease diagnosis, and treatment outcome prediction in mental &

Posted on: 5/11/2018 16:38:19 Want to help each of our 100+ million members worldwide find great content by giving each show its best opportunity to appeal to each member?

You will lead the way by researching and developing the next generation of algorithms used to generate and select artwork, trailers, and evidence shown on Netflix More info |

Posted on: 5/12/2018 20:03:30 The Vanderbilt University Medical Center (VUMC) in Nashville, Tennessee is seeking motivated post-doctoral candidates to develop their translational research career in biophotonics and imaging of cutaneous manifestations of cancer and its treatments.

Multimodal dermatologic imaging techniques including 3D photography, hyperspectral imaging, and confocal microscopy, coupled to image analysis techniques including deep learning neural networks, will be applied in ongoing multicenter clinical trials and basic science research.

Posted on: 5/14/2018 1:44:47 The Information Sciences group at Los Alamos National Lab has an opening for an outstanding postdoctoral research associate in computer vision for automating the understanding of technical content contained in images.

However these advances have not yet automated the understanding of information contained in hand-drawn figures, technical diagrams, mathematical equations, data plots, and other images conveying technical information.

and/or 2) Develop computer vision algorithms for deformable shape matching across a wide variety of image types including photographs, drawings, diagrams, scanned historic documents, etc. http://jobs.lanl.gov

You will be working alongside exceptional deep learning talent to develop ways of understanding human activities in real time in order to automate retail stores.

Posted on: 5/14/2018 15:46:13 The Yahoo Research SF group is looking for scientists to work on a broad set of real-world practical problems of massive size that have a direct impact on a wide range of products such as Tumblr and Yahoo Mail.

The successful candidate will be expected to drive innovation and lead execution in many areas across a number of potential projects in image and video understanding and natural language processing.

addition, good to very good knowledge in object-oriented programming (C ++) under Linux/Unix or Windows, we expect solid knowledge in the mathematical foundations of computer graphics and in the programming of graphics hardware (GPUs), as well. For

Responsibilities: Work both independently and collaboratively to develop robust computer vision algorithms that will be deployed in existing and new products/Take ideas and algorithms from first conception to real-world, real-time implementation and deployment.

Desirable Traits: A degree in electrical engineering or computer science/Experience in image processing, computer vision, and machine learning/Ability to program in C++ and respect for modern software design principles/Excited to learn new things and share them with teammates/Able to approach problems outside their domain of expertise or knowledge.

Posted on: 5/16/2018 10:47:45 We are seeking hands on candidates who have a mix of computer vision, machine learning expertise, embedded and real time constraints and low level accelerators (FPGA, GPUs).

Posted on: 5/16/2018 12:04:05 We are seeking hands on candidates who have a mix of computer vision, machine learning expertise, embedded and real time constraints and low level accelerators (FPGA, GPUs).

Posted on: 5/16/2018 12:09:20 The Argo tracking and prediction teams are responsible for developing algorithms and code to allow an autonomous vehicle to understand its world.

The tracking team works closely with various sensor perception teams to generate a holistic view of the world, and prediction anticipates what will happen next.

Posted on: 5/16/2018 12:15:42 This team solves problems that involve geometric computer vision: processing sensor data from LiDAR or imagery and geometrically reasoning about that data.

That data gets used in localization to estimate pose relative to the map or, over time, calibration to produce high quality calibrations of the sensors and vehicle, and in mapping to geometrically align the world.

Our teams are using computer vision, image recognition, machine learning, real-time and distributed systems to convert requirements into concrete deliverables.

Data Scientists at 3M help improve lives of people with respiratory issues, enable autonomous transportation, keep workers and soldiers safe, and advance health information systems.

The person hired for the position of Data Scientist will develop technologies in the areas of machine learning, data science, deep learning, artificial intelligence, or computer vision that create new opportunities for 3M.

Data Scientists at 3M help improve lives of people with respiratory issues, enable autonomous transportation, keep workers and soldiers safe, and advance health information systems.

The person hired for the position of Data Science Engineer will develop technologies in the areas of machine learning, data science, deep learning, artificial intelligence, or computer vision that create new opportunities for 3M.

Data Scientists at 3M help improve lives of people with respiratory issues, enable autonomous transportation, keep workers and soldiers safe, and advance health information systems.

The person hired for the position of Data Science Specialist will develop technologies in the areas of machine learning, data science, deep learning, artificial intelligence, or computer vision that create new opportunities for 3M.

Our researchers are dedicated to pushing the boundaries of theoretical and applied science, while our development team transforms state-of-the-art technologies and algorithms into impactful products with the potential to reach millions of people.

Working in our lab will grant you unique access to massive structured and unstructured datasets with the tools and resources necessary to build game-changing statistical models.

Posted on: 5/18/2018 9:04:46 We are seeking an outstanding postdoctoral research fellows with experience in deep learning / machine learning to work with us at Caen University, France on two projects : *

Posted on: 5/18/2018 10:21:56 We are looking for research scientists who are as passionate as we are about computer vision and Artificial Intelligence, advancing science, and inventing the next generation of intelligent machines.

Posted on: 5/22/2018 1:57:55 We are seeking for a passionate and knowledgeable Computer Vision Applied Research Scientist who can successfully design and develop cutting edge algorithms enabling Olly to perceive the surrounding environment which is a foundation for proactive and personalised interactions.

Posted on: 5/22/2018 5:03:08 We are seeking for a passionate and knowledgeable Computer Vision Research Scientist who can help to push design of cutting edge algorithms enabling Olly to perceive the surrounding environment which is a foundation for proactive and personalised interactions.

Posted on: 5/22/2018 5:04:36 The Visual Artificial Intelligence Laboratory at Oxford Brookes University, led by Professor Fabio Cuzzolin, is seeking two (2) postdoctoral researchers (36 months) and one (1) research assistant (12 months, extendable to 24) in deep learning for action recognition in surgical robotics, to start as soon as possible.

The Visual Artificial Intelligence Laboratory (http://cms.brookes.ac.uk/staff/FabioCuzzolin/) has established itself as one of the top research groups in deep learning for action detection, conducting work at the current boundaries of human action recognition.

The ideal candidate is a driven and talented scientist with a proven track record of quickly solving difficult technical problems and a hunger to use computer vision and machine learning to positively impact millions of lives.

The ideal candidate is a driven and talented coder with a proven track record of quickly solving difficult technical problems and a hunger to become a great programmer.

The ideal candidate is a driven and talented coder with a proven track record of quickly solving difficult technical problems and a hunger to become a great programmer.

Posted on: 5/23/2018 2:30:33 In close cooperation with top universities and research institutes worldwide, we are actively recruiting talented student interns for both research and engineering in machine learning / computer vision.

Here, students can learn latest CV techniques under supervision of top AI scientists, through exciting challenges driven by real business needs from our online commerce platform with various applications and huge data. Requirements: Students

We are looking for candidates particularly interested in the integration of physics-based vision and recognition with strong track records in related areas including computational photography and machine learning.

The applicant will contribute to an interdisciplinary project consisting in the application of computer vision and machine learning methods to 4D two-photon microscopy data for immunological research.

The applicant will have the possibility to foster skills in computer vision, machine learning, programming, numerical methods, design of efficient algorithms and bioinformatics/biology during this PhD.

Posted on: 5/23/2018 5:35:19 We are seeking for a postdoctoral fellow to work on a research project related to automatic understanding of videos and music for affective computing.

Posted on: 5/23/2018 12:53:34 We are seeking for a research assistant to work on a research project related to automatic understanding of videos and music for affective computing.

What we need to see:You'd have a solid understanding of computer vision fundamentals related to camera calibration, depth estimation, structure from motion, object detection, tracking, and SLAM techniques.

Posted on: 5/23/2018 16:19:33 Mighty AI converts raw, unlabeled data into useful high-quality training data, pairing machine learning with human intelligence to train and validate deep learning models.

We’re seeking an MS or PhD in a related field (Computer Science, Electrical Engineering, etc), proficiency with Python and Tensorflow, experience with deep learning for computer vision applications, and enthusiasm for working in a fast-paced and often ambiguous startup environment.

You will utilize your expertise in deep learning and computer vision to develop and deliver unique solutions in perceiving, and modeling the complex environment both inside and outside the vehicle.

You will utilize your expertise in deep learning and computer vision to develop and deliver unique solutions in perceiving, and modelling the complex environment both inside and outside the vehicle.

You will utilize your expertise in deep learning and computer vision to develop and deliver unique solutions in perceiving and modelling the complex environment both inside and outside the vehicle.

Posted on: 5/24/2018 1:45:06 As a research scientist, you will collaborate with our current team working on deep learning, computer vision, and autonomous driving.

Please join us if you are passionate about autonomous driving, have publications at top conferences or journals in the field of computer vision, machine learning, robotics and are an excellent programmer. Desired

Posted on: 5/24/2018 16:45:14 As a Senior Planning Software Engineer, you have solid experience in solving real world robotics problems, which include at least one of the following areas: prediction, path planning, optimization, and/or control.

You’ll architect and implement the algorithms that run on every drone powered by Skydio as part of a world class computer vision team with researchers who have pushed the state of the art in academia and industry.

Groups and Researchers in this Field

Andreas Bulling leads the Perceptual User Interfaces independent research group at the Max Planck Institute for Informatics and the Cluster of Excellence on Multimodal Computing and Interaction at Saarland University, working at the interface of human-computer interaction, computer vision, ubiquitous computing, and applied machine learning.

His research interests include mathematical and statistical methods for signal processing, functional and harmonic analysis, and computational modelling of the human visual system.

His work focuses on spatially adaptive (anisotropic, nonlocal) algorithms for the restoration and enhancement of digital images, on noise modelling for imaging devices, and on the optimal design of statistical transformations for the stabilization, normalization, and analysis of random data.

As a matter of fact, data acquired in real applications can seldom be described with good approximation by the AWGN model, especially because errors are typically correlated and not additive.

This tutorial provides an introduction to both signal-dependent and correlated noise and to the relevant models and methods for the analysis and practical processing of signals corrupted by these types of noise.

Special emphasis is placed on effective techniques for noise suppression, and in particular on the recent developments in the optimal design of forward and inverse variance-stabilizing transformations, and their application to extreme low-energy acquisition under spatially correlated noise.

We consider various form of noise correlation, encompassing pixel and read-out cross-talk, fixed-pattern noise, column noise, etc., as well as related issues like photo-response and gain non-uniformities, and processing-induced noise correlation.

Consequently, the introduced models and techniques are applicable to several important imaging scenarios and technologies, such as raw data from digital camera sensors, various types of radiation imaging relevant to security and to biomedical imaging, ultrasound and seismic sensing, magnetic resonance imaging, synthetic aperture radar imaging, photon-limited imaging of faint astronomical sources, microbolometer arrays for long-wavelength infrared imaging in thermography, etc.

The tutorial is accompanied by numerous experimental examples where the presented methods are applied to competitive signal processing problems, often achieving the state of the art in image and multidimensional data restoration.

His research interests are in image and video quality and compression, image and video analysis, content-based retrieval, perceptual models for multimedia processing, model-based halftoning, and tactile and multimodal interfaces.

Pappas has served as Vice-President Publications, IEEE Signal Processing Society (2015-1017), editor-in-chief of the IEEE Transactions on Image Processing (2010-12), elected member of the Board of Governors of the Signal Processing Society of IEEE (2004-06), chair of the IEEE Image and Multidimensional Signal Processing (now IVMSP) Technical Committee (2002-03), technical program co-chair of ICIP-01 and ICIP-09, and co-chair of the 2011 IEEE IVMSP Workshop on Perception and Visual Analysis.

Our primary emphasis will be on image fidelity, i.e., how close an image is to a given original or reference image, but we will broaden the scope of image fidelity to include structural equivalence.

We will examine near-threshold perceptual metrics, which explicitly account for human visual system (HVS) sensitivity to noise by estimating thresholds above which the distortion is just-noticeable, and supra-threshold metrics, which attempt to quantify visible distortions encountered in high compression applications or when there are losses due to channel conditions.

We will also consider metrics for structural equivalence, whereby the original and the distorted image have visible differences but both look natural and are of equally high visual quality.

We will also take a close look at procedures for evaluating the performance of quality metrics, including database design, models for generating realistic distortions for various applications, and subjective procedures for metric development and testing.

He is an expert in computer vision engineering, with particular emphasis on video and image content forensics (watermarking and fingerprinting), compression, analysis, and content-based approaches for visual content management, security, surveillance, assisted living and remote sensing applications.

Summary: This tutorial aims to deliver the knowledge of recent advances in image and video processing for cybersecurity, trust and privacy to the target beneficiary groups of academia (graduate students, researchers, and academics), industry researchers and the end user.

By attending the tutorial, the participants will gain knowledge on latest developments on content protection in the context of current image and video standards, Blockchain-based trusted multimedia content distribution and the latest developments in terms graph spectral domain content protection and video forensics.

In addition, we aim to provide hands on experience in designing content protection tools for images and video by giving out a mix of pre-populated functions, GUI and a Mobile App to work on the users’ portable computing devices.

In this way, rather than didactic delivery of the tutorial, we envisage to provide an interactive learning experience and opportunity for achieving a deeper understanding to the participants.

Summary: Powerful machine learning algorithms such as deep neural networks (DNNs) are now able to harvest very large amounts of training data and to convert them into highly accurate predictive models.

At the same time, DNNs are generally considered as black boxes, because given their nonlinearity and deeply nested structure it is difficult to intuitively and quantitatively understand their inference, e.g.

The design of interpretation methods to explain these newly inferred relations can be useful for building scientific hypotheses, or for detecting possible artifacts in the data/model. Also

from an engineer’s perspective interpretability is a crucial feature, because it allows to identify the most relevant features and parameters and more generally to understand the strengths and weaknesses of a model.

Some of this work is dedicated to visualize particular neurons or neuron layers, other work focuses on methods which visualize the impact of particular regions of a given input image.

Our tutorial will present recently proposed techniques for interpreting, explaining and visualizing deep models and explore their practical usefulness in computer vision.

His current interests are in the areas of image/video processing, intelligent digital media, machine learning, human centered interfaces, affective computing, computer vision, 3D imaging and biomedical imaging.

He has co-authored 72 journal papers, 177 papers in international conferences and contributed 8 chapters to edited books in his area of expertise.

His current research interests include computational intelligence, deep learning, pattern recognition, statistical machine learning, digital signal and image processing and computer vision, biometrics and security.

Such systems should be able to cover outdoor events (e.g., sports) that are typically distributed over large expanses, ranging, for example, from a stadium to an entire city.

The drone or drone team, to be managed by the production director and his/her production crew, shall have: a) increased multiple drone decisional autonomy, hence allowing event coverage in the time span of around one hour in an outdoor environment and b) improved multiple drone robustness and safety mechanisms (e.g., communication robustness/safety, embedded flight regulation compliance, enhanced crowd avoidance and emergency landing mechanisms), enabling it to carry out its mission against errors or crew inaction and to handle emergencies.

Drone vision and machine learning play an important role towards this end, covering the following topics: a) drone localization, b) drone visual analysis for target/obstacle/crowd/point of interest detection, c) 2D/3D target tracking, d) privacy protection technologies in drones (e.g.

The tutorial will offer an overview of all the above plus other related topics such as: a) current state of the art on the use of drones in cinematography, advertisement, news coverage, sports and media production in general, b) multiple drone mission planning and flight control, c) communication issues in drones (e.g.

His research covers all aspects of image processing, in particular, image restoration (denoising, blind deconvolution, super-resolution) and image fusion (multimodal, multifocus).

His scientific achievements were awarded by several national prizes - the Josef Hlavka Student Prize, the Otto Wichterle Premium of the Czech Academy of Sciences for excellent young scientists, and the Czech Science Foundation Award.

Her research interests include geometric invariants, image enhancement, image registration and image fusion, and image processing applications in cultural heritage and medical imaging.

She has received several awards - the Josef Hlavka Student Prize, the Otto Wichterle Premium of the Czech Academy of Sciences for excellent young scientists, Czech Science Foundation Award, The Czech Academy of Sciences Prize, several best paper awards, and the SCOPUS 1000 Award for more than 1000 citations of a single paper in 2010.

We have been witnesses of the appearance of multichannel techniques, blind techniques, and superresolution enhancement resolved by means of variational calculus in very high-dimensional spaces.

In the image restoration part of the tutorial we review traditional as well as modern deconvolution techniques, including blind deconvolution, space variant deconvolution, and multichannel deconvolution.

Since 1999, Laurent Jacques has co-authored 35 papers in international journals, 65 conference proceedings and presentations in signal and image processing conferences, and 4 book chapters.

Our goal with this tutorial is to expose all this body of work, the available solutions, the theoretical underpinnings and practical considerations, as well as the problems still open in the field.

Our objective is also to provide a well-balanced presentation of both theory and practice, guided by intuitive explanations, assuming only minimal background on dimensionality reduction and embedding theory.

More precisely, the tutorial aims to overview the fundamentals of embedding constructions, starting with the foundational work of Johnson and Lindenstrauss, and developing the general framework of randomized constructions.

We will discuss different embedding goals, including distance and local geometry preservation, locality sensitive hashing (LSH), kernel machine implementation, and feature quantization, among others.

Although our focus is on randomized, universal and data-agnostic constructions, we will also explore JL-style constructions that learn from the data geometry, to further improve performance at the expense of universality.

In 2017 he has been also awarded the IAPR Young Biometrics Investigator Award, given to a single researcher worldwide every two years under the age of 40, whose research work has had a major impact in biometrics.

To deal with this problem, active authentication (also known as continuous authentication) systems have been proposed in which users are continuously monitored after the initial access to the mobile device.

It should also prove beneficial to experts in computer vision, signal and image processing, introducing them to a new paradigm of practical importance with very interesting research challenges.

His interests are in Bayesian inference, information and complexity theory, stochastic processes, model-based scene understanding, image information mining, for applications in information retrieval and understanding of high resolution SAR and optical observations.

He initiated the European frame of projects for Image Information Mining (IIM) and is involved in research programs for information extraction, data mining and knowledge discovery and data understanding with the European Space Agency (ESA), NASA, and in a variety of national and European projects.

He received in 2006 the Best Paper Award, IEEE Geoscience and Remote Sensing Society Prize, in 2008 the National Order of Merit with the rank of Knight, for outstanding international research results, awarded by the President of Romania, and in 1987 the Romanian Academy Prize Traian Vuia for the development of SAADI image analysis system and activity in image processing.

Multispectral and microwave EO sensors are unceasingly streaming millions of samples per second, which must be analysed to extract semantics or physical parameters for understanding Earth spatio-temporal patterns and phenomena.

Typical EO multispectral sensors acquires images in several spectral channels, covering the visible and infrared spectra, or the Synthetic Aperture Radar (SAR) images are represented as complex values representing modulations in amplitude, frequency, phase or polarization of the collected radar echoes.

Machine and deep learning methods are mainly used for image classification or objects segmentation, usually applied to one single image at a time and associated to the visual perception.

Therefore, aiming to enlarge the concepts of image processing introducing models and methods for physically meaningful features extraction to enable high accuracy characterization of any structure in large volumes of EO images.

The tutorial answers open questions on relative data bias, cross-dataset generalization, for very specific EO cases as multispectral, SAR observation with a large variability of imaging parameters and semantic content.

The challenge of very limited and high complexity training data sets it is addressed introducing paradigms to minimize the amount of computation and to learn jointly with the amount of known available data using cognitive primitives for grasping the behaviour of the observed objects or processes.

To practically implement these techniques, a current trend in Big Data processing is to bring the algorithms to the data on the cloud, instead of downloading large datasets and running algorithms on local servers.

The tutorial is analysing the most advanced methods in synthetic aperture, coded aperture, compressive sensing, data compression, ghost imaging, and also the basics of quantum sensing.

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IEEE SPS: Learning Sparsifying Transforms for Signal, Image, and Video Processing

Title: Learning Sparsifying Transforms for Signal, Image, and Video Processing Speaker: Prof. Yoram Bresler, Departments of Electrical and Computer ...

How we teach computers to understand pictures | Fei Fei Li

When a very young child looks at a picture, she can identify simple elements: "cat," "book," "chair." Now, computers are getting smart enough to do that too.

Build a TensorFlow Image Classifier in 5 Min

In this episode we're going to train our own image classifier to detect Darth Vader images. The code for this repository is here: ...

imaPing Research Group - Remote Sensing for Precision Agriculture and Weed Science"

Video Presentation of imaPing Research Group "Remote Sensing for Precision Agriculture and Weed Science", located at the Institute for Sustainable ...

Machine Learning & Artificial Intelligence: Crash Course Computer Science #34

So we've talked a lot in this series about how computers fetch and display data, but how do they make decisions on this data? From spam filters and self-driving ...

Lecture 2 | Image Classification

Lecture 2 formalizes the problem of image classification. We discuss the inherent difficulties of image classification, and introduce data-driven approaches.

A Crash Course on Vision Based Modeling

The ubiquity of digital cameras and the ease of collecting video data opens the possibility of modeling 3D scenes and actions from images and video.

Vision to Language

The recent advances in computer vision, natural language processing and other related areas has led to a renewed interest in artificial intelligence applications ...

How to Read a Research Paper

Ever wondered how I consume research so fast? I'm going to describe the process i use to read lots of machine learning research papers fast and efficiently.