AI News, CV: Gholamreza Anbarjafari artificial intelligence

3.4.5 Conference Listings or Special Issues, Introductions, 2019-

IEEE DOI 1901[From the Guest Editors] Special issues and sections, Music, Signal processing algorithms, Multiple signal classification, Speech processing, Audio systems

Special issue on real-time image and video processing in mobile embedded systems, RealTimeIP(16), No.

Machine ethics: the design and governance of ethical ai and autonomous systems, PIEEE(107), No.

IEEE DOI 1903[scanning the issue] Special issues and sections, Ethics, Social implications of technology, Intelligent systems, Medical robotics

Su, Z., Fang, Q., Wang, H., Mehrotra, S., Begen, A.C., Ye, Q., Cavallaro, A.,

IEEE DOI 1903Special issues and sections, Multimedia communication, Trust management, Social networking (online)

Special issue commemorating the 50th anniversary of 'Pattern Recognition', PR(90), 2019, pp.

Nikolaidis, N., Boulgouris, N.V., Kondi, L.P., Nikou, C., Plataniotis, K.N.,

Loy, C.C.[Chen Change], Liu, X.M.[Xiao-Ming], Kim, T.K.[Tae-Kyun], de la Torre, F.[Fernando], Chellappa, R.[Rama],

Special issue on real-time image watermarking and forensics in cloud computing, RealTimeIP(16), No.

Award winning papers from the 23rd International Conference on Pattern Recognition (ICPR), PRL(124), 2019, pp.

Anbarjafari, G.[Gholamreza], Escalera, S.[Sergio], Nasrollahi, K.[Kamal], Escalante, H.J.[Hugo Jair], Baro, X.[Xavier], Wan, J.[Jun], Moeslund, T.B.[Thomas B.],

Guest editorial: special issue on human abnormal behavioural analysis, MVA(30), No.

Liu, L.[Li], Pietik�inen, M.[Matti], Chen, J.[Jie], Zhao, G.Y.[Guo-Ying], Wang, X.G.[Xiao-Gang], Chellappa, R.[Rama],

IEEE DOI 1909Special issues and sections, Computer vision, Deep learning, Neural networks, Computational efficiency, Feature extraction, Image classification

Porikli, F.M.[Fatih M.], Davis, L.S.[Larry S.], Wang, Q.[Qi], Li, Y.[Yi], Regazzoni, C.[Carlo],

IEEE DOI 1909Special issues and sections, Surveillance, Deep learning, Object detection, Object recognition, Feature extraction

Kong, S., Lv, Y., Vu, H.L., Cano, J., Choi, J., Kum, D., Morris, B.T.,

Preface of virtual special issue on Smart Pattern Recognition for Medical Informatics, PRL(128), 2019, pp.

7 tips to get your resume past the robots reading it

When it comes to actually writing your resume, here are seven ways to make sure it looks best for the robots who will be reading it.

Test how well bots will comprehend your resume by copying it into a plain text file, then making sure nothing gets out of order and no strange symbols pop up.

Include keywords from the job description, such as the role's day-to-day responsibilities, desired previous experience and overall purpose within the organization.

Consider having a separate skills section, Augustine says, where you list any certifications, technical skills and soft skills mentioned in the job description.

Highlight ones that involve meeting company goals, driving revenue, leading a certain number of people or projects, being efficient with costs and so on. Video Super-Resolution, Resolution Enhancement

Method for video-to-printing image resolution conversion, US_Patent5,131,057, Jul 14, 1992

Sub-pixel registration for super high resolution image acquisition based on temporal integration, CIAP95(387-392).

High-resolution image acquisition based on temporal integration with hierarchical estimation of image warping, ICIP95(III: 244-247).

Nakazawa, Y., Komatsu, T., Sekimori, T., Aizawa, K.,

High-resolution image reconstruction from a low-resolution image sequence in the presence of time-varying motion blur, ICIP94(I: 343-347).

System and method for creating high-quality stills from interlaced video, US_Patent5,579,054, Nov 26, 1996

Artifact reduction for POCS-based super resolution with edge adaptive regularization and higher-order interpolants, ICIP98(III: 217-221).

Super-resolution still and video reconstruction from MPEG-coded video, CirSysVideo(12), No.

Multi-frame information fusion for gray-scale and spatial enhancement of images, ICIP03(II: 319-322).

Mical, R.J.[Robert J.], Needle, D.L.[David L.], Khubchandani, T.J.[Teju J.], Landrum, S.H.[Stephen H.],

Resolution enhancement for video display using multi-line interpolation, US_Patent5,481,275, Jan 2, 1996

BibRef 9601 And: US_Patent6,191,772, Feb 20, 2001

Resolution enhancement of monochrome and color video using motion compensation, IP(10), No.

Reconstruction of a high-resolution image by simultaneous registration, restoration, and interpolation of low-resolution images, ICIP95(II: 539-542).

Reconstruction of a high resolution image from registration and restoration of low resolution images, ICIP94(III: 553-557).

Projection-based spatially adaptive reconstruction of block-transform compressed images, IP(4), No.

Method and system in a data processing system for improved video image resolution when enlarging a video sequence, US_Patent5,719,594, Feb 17, 1998

Regularized adaptive high-resolution image reconstruction considering inaccurate subpixel registration, IP(12), No.

Park, S.C.[Sung Cheol], Kang, M.G.[Moon G.], Segall, C.A., Katsaggelos, A.K.,

Molina, R., Vega, M., Abad, J., Katsaggelos, A.K.,

Motion estimation in high resolution image reconstruction from compressed video sequences, ICIP04(III: 1795-1798).

Vega, M., Mateos, J., Molina, R., Katsaggelos, A.K.,

Alvarez, L.D., Mateos, J., Molina, R., Katsaggelos, A.K.,

High-resolution images from compressed low-resolution video: Motion estimation and observable pixels, IJIST(14), No.

Molina, R., Mateos, J., Katsaggelos, A.K., Vega, M.,

Bayesian multichannel image restoration using compound Gauss-Markov random fields, IP(12), No.

general multichannel image restoration method using compound models, ICPR02(III: 835-838).

Mateos, J.[Javier], Bishop, T.E.[Tom E.], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],

Local Bayesian image restoration using variational methods and Gamma-Normal distributions, ICIP09(129-132).

Derin], Wang, J.N.[Jing-Nan], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],

Vera, E.[Esteban], Vega, M.[Miguel], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],

novel iterative image restoration algorithm using nonstationary image priors, ICIP11(3457-3460).

Total variation super resolution using a variational approach, ICIP08(641-644).

Segall, C.A., Katsaggelos, A.K., Molina, R., Mateos, J.,

Approaches for the restoration of compressed video, ICIP03(II: 977-980).

BibRef 9903 And: UMD--TR3898, April 1998.

Super-resolution, use observed data to derive the camera point spread function for each frame.

Blind estimation of PSF for out of focus video data, ICIP98(III: 742-745).

3D super-resolution using generalized sampling expansion, ICIP95(II: 300-303).

Super-resolution video restoration with model uncertainties, ICIP02(II: 853-856).

Analysis of multiframe super-resolution reconstruction for image anti-aliasing and deblurring, IVC(23), No.

4, 1 April 2005, pp.

Springer DOI 0205Combine multiple low-res video to get one high-res (space and time) video.

IEEE DOI 0408Completion based on local structure.

Missing portions filled in based on coherent structures.

Video super-resolution using controlled subpixel detector shifts, PAMI(27), No.

Jitter camera: high resolution video from a low resolution detector, CVPR04(II: 135-142).

Lu, Z.[Zheng], Tai, Y.W.[Yu-Wing], Ben-Ezra, M.[Moshe], Brown, M.S.[Michael S.],

framework for ultra high resolution 3D imaging, CVPR10(1205-1212).

MAP based resolution enhancement of video sequences using a haber-markov random field image prior model, ICIP03(II: 933-936).

IEEE DOI Generate the sequence for a low resolution version.

IEEE DOI See also Super-resolution reconstruction using spatio-temporal filtering.

Farsiu, S.[Sina], Robinson, M.D., Elad, M.[Michael], Milanfar, P.[Peyman],

Protter, M., Elad, M., Takeda, H., Milanfar, P.,

Takeda, H., Milanfar, P., Protter, M., Elad, M.,

Takeda, H., van Beek, P., Milanfar, P.,

Spatio-temporal video interpolation and denoising using motion-assisted steering kernel (MASK) regression, ICIP08(637-640).

Bi-directional 2-D mesh representation for video object rendering, editing and superresolution in the presence of occlusion, SP:IC(18), No.

Narayanan, B.[Balaji], Hardie, R.C.[Russell C.], Barner, K.E.[Kenneth E.], Shao, M.[Min],

Estimation of the parameters in regularized simultaneous super-resolution, PRL(31), No.

Maximum a posteriori super-resolution of compressed video using a new multichannel image prior, ICIP09(2797-2800).

Key frame-based video super-resolution using bi-directional overlapped block motion compensation and trained dictionary, IPTA10(181-186).

Fast super-resolution algorithms using one-dimensional patch-based training and directional interpolation, IET-IPR(6), No.

Joint video fusion and super resolution based on Markov random fields, ICIP14(2150-2154)

Hung, E.M., de Queiroz, R.L.[Ricardo L.], Brandi, F.[Fernanda], de Oliveira, K.F., Mukherjee, D.[Debargha],

Brandi, F.[Fernanda], de Queiroz, R.L.[Ricardo L.], Mukherjee, D.[Debargha],

Super-resolution of video using key frames and motion estimation, ICIP08(321-324).

Garcia, D.C.[Diogo C.], Dorea, C.[Camilo], de Queiroz, R.L.[Ricardo L.],

Fast image interpolation using the bilateral filter, IET-IPR(6), No.

Fast video interpolation/upsampling using linear motion model, ICIP11(1341-1344).

Improved image interpolation using bilateral filter for weighted least square estimation, ICIP10(3297-3300).

New motion compensation model via frequency classification for fast video super-resolution, ICIP09(1193-1196).

Robust super resolution of compressed video, VC(27), No.

Lee, D.B., Jeong, S.C.[Shin Cheol], Lee, Y.G.[Yun-Gu], Song, B.C.[Byung Cheol],

Video deblurring based on bidirectional motion compensation and accurate blur kernel estimation, ICIP13(895-899)

Jeong, S.C.[Shin Cheol], Lee, T.H.[Tae Hwan], Song, B.C.[Byung Cheol], Lee, Y.G.[Yun-Gu], Choi, Y.L.[Yang-Lim],

Video deblurring algorithm using an adjacent unblurred frame, VCIP11(1-4).

Patch-based spatio-temporal super-resolution for video with non-rigid motion, SP:IC(28), No.

Salvador, J.[Jordi], Rivero, D.[Daniel], Kochale, A.[Axel], Ruiz-Hidalgo, J.[Javier],

Bayesian approach to adaptive video super resolution, CVPR11(209-216).

Suo, J.L.[Jin-Li], Deng, Y.[Yue], Bian, L.H.[Li-Heng], Dai, Q.H.[Qiong-Hai],

Video super resolution based on non-local regularization and reliable motion estimation, SP:IC(29), No.

Liu, Y., Lin, Y., Huang, Y., Chien, S.,

Video super-resolution based on automatic key-frame selection and feature-guided variational optical flow, SP:IC(29), No.

Video resolution enhancement by using discrete and stationary wavelet transforms with illumination compensation, SIViP(9), No.

Demirel, H.[Hasan], Anbarjafari, G.[Gholamreza], Ozcinar, C.[Cagn], Izadpanahi, S.[Sara],

Video resolution enhancement by using complex wavelet transform, ICIP11(2093-2096).

Shi, R.[Rui], Yin, S.Y.[Shou-Yi], Liu, L.[Leibo], Liu, Q.B.[Qiong-Bing], Liang, S.[Shuang], Wei, S.J.[Shao-Jun],

Zhang, X.F.[Xin-Feng], Xiong, R.Q.[Rui-Qin], Ma, S.W.[Si-Wei], Li, G.[Ge], Gao, W.[Wen],

Video super-resolution with registration-reliability regulation and adaptive total variation, JVCIR(30), No.

See also New image coding scheme with hierarchical representation and adaptive interpolation.

Ge, J.[Jing], Liu, J.[Ju], Zhao, Y.L.[Yun-Long], Zhang, B.Y.[Bo-Yang],

resolution enhancement algorithm for an asymmetric resolution stereo video, JIVP(2015), No.

Hayashi, Y.[Yusuke], Kawai, N.[Norihiko], Sato, T.[Tomokazu], Okumoto, M.[Miyuki], Yokoya, N.[Naokazu],

Barzigar, N., Roozgard, A., Verma, P., Cheng, S.,

Jin, Z., Tillo, T., Yao, C., Xiao, J., Zhao, Y.,

Wadhwa, N.[Neal], Wu, H.Y.[Hao-Yu], Davis, A.[Abe], Rubinstein, M.[Michael], Shih, E.[Eugene], Mysore, G.J.[Gautham J.], Chen, J.G.[Justin G.], Buyukozturk, O.[Oral], Guttag, J.V.[John V.], Freeman, W.T.[William T.], Durand, F.[Fr�do],

DOI Link 1612Computational technique for visualizing subtle color and motion variations in ordinary videos by making the variations larger.

Dai, Q.[Qiqin], Yoo, S.[Seunghwan], Kappeler, A.[Armin], Katsaggelos, A.K.[Aggelos K.],

Dictionary-based multiple frame video super-resolution, ICIP15(83-87)

IEEE DOI 1802Collaboration, Databases, Image denoising, Noise measurement, Noise reduction, Principal component analysis, robust patch matching

Parameswaran, S., Luo, E., Deledalle, C.A., Nguyen, T.Q.,

IEEE DOI 1709Algorithm design and analysis, Databases, Image denoising, Noise measurement, Noise reduction, Runtime, Videos

Modified non-local means for super-resolution of hybrid videos, CVIU(168), 2018, pp.

Elsevier DOI 1804Adaptive parameters, Hybrid video, Non-local means,

Li, Y.W.[Ya-Wei], Li, X.F.[Xiao-Feng], Fu, Z.Z.[Zhi-Zhong], Yin, X.X.[Xiu-Xia], Zhao, Y.F.[Yu-Fei],

Bilateral video super-resolution using non-local means with adaptive parameters, ICIP16(1155-1159)

Li, Y.W.[Ya-Wei], Li, X.F.[Xiao-Feng], Yao, C.[Cui], Fu, Z.Z.[Zhi-Zhong], Yin, X.X.[Xiu-Xia],

Li, Y.W.[Ya-Wei], Li, X.F.[Xiao-Feng], Fu, Z.Z.[Zhi-Zhong], Niu, T.T.[Ting-Ting], Long, K.[Keyu],

Spatiotemporal super-resolution for multiview video in transform domain, VCIP16(1-4)

Yang, W.H.[Wen-Han], Feng, J.S.[Jia-Shi], Xie, G.[Guosen], Liu, J.Y.[Jia-Ying], Guo, Z.M.[Zong-Ming], Yan, S.C.[Shui-Cheng],

Video super-resolution based on spatial-temporal recurrent residual networks, CVIU(168), 2018, pp.

Elsevier DOI 1804Spatial residue, Temporal residue, Video super-resolution,

IEEE DOI 1804computational complexity, image resolution, image sequences, recurrent neural nets, video signal processing, Single-Image SR, video super-resolution

Zhang, T.H.[Ting-Hua], Gao, K.[Kun], Ni, G.Q.[Guo-Qiang], Fan, G.H.[Gui-Hua], Lu, Y.[Yan],

Spatio-temporal super-resolution for multi-videos based on belief propagation, SP:IC(68), 2018, pp.

IEEE DOI 1811image reconstruction, image resolution, iterative methods, least mean squares methods, Monte Carlo methods, outliers

IEEE DOI 1910geophysical image processing, hyperspectral imaging, image resolution, remote sensing, super-resolution, image fusion

Video super-resolution using motion compensation and residual bidirectional recurrent convolutional network, ICIP17(1642-1646)

IEEE DOI 1803Motion compensation, Visualization, Computer architecture, Image resolution, Convolutional codes, Image restoration, model ensemble.

Image restoration, Motion estimation, Spatial resolution, Testing, Video super-resolution, recurrent neural networks (RNNs)

Purica, A., Boyadjis, B., Pesquet-Popescu, B., Dufaux, F., Bergeron, C.,

IEEE DOI 1901convex programming, data compression, image enhancement, image reconstruction, image resolution, image sampling, HEVC

Wang, Z., Yi, P., Jiang, K., Jiang, J., Han, Z., Lu, T., Ma, J.,

IEEE DOI 1903Image resolution, Optical imaging, Optical fiber networks, Feature extraction, Image reconstruction, Correlation, multi-memory residual block

Lucas, A.[Alice], L�pez-Tapia, S.[Santiago], Molina, R.[Rafael], Katsaggelos, A.K.[Aggelos K.],

IEEE DOI 1809image resolution, image restoration, learning (artificial intelligence), mean square error methods, image generation.

Training, Spatial resolution, Mathematical model, Loss measurement, Neural networks, Video, Superresolution, Perceptual Loss Functions

IEEE DOI 1908Hardware, Quantization (signal), Streaming media, UHDTV, Real-time systems, Field programmable gate arrays, Interpolation, FPGA

IEEE DOI 1910video, spatio-temporal noise, noise estimation

Meng, X., Deng, X., Zhu, S., Zeng, B.,

IEEE DOI 1910versatile video coding, spatial-temporal structure, motion compensation, quality enhancement

Tong, J., Wu, X., Ding, D., Zhu, Z., Liu, Z.,

IEEE DOI 1910CNN, video compression, enhancement, optical flow, multi-frame

Lu, M., Cheng, M., Xu, Y., Pu, S., Shen, Q., Ma, Z.,

IEEE DOI 1910Video quality enhancement, multi-scale spatial priors, multi-frame temporal priors, post-processing, HEVC

Wang, L.G.[Long-Guang], Guo, Y.L.[Yu-Lan], Lin, Z.P.[Zai-Ping], Deng, X.[Xinpu], An, W.[Wei],

cameras, image motion analysis, image segmentation, Markov processes, rendering (computer graphics), Sensor arrays

IEEE DOI 1812Spatial resolution, Training, Computer architecture, Optical losses, Image reconstruction, Optical imaging

Jo, Y., Oh, S.W., Kang, J., Kim, S.J.,

IEEE DOI 1812Image resolution, Dynamics, Motion compensation, Motion estimation, Convolution, Neural networks

Yang, R., Xu, M., Wang, Z., Li, T.,

IEEE DOI 1812Transform coding, Image coding, Standards, Video sequences, Support vector machines, Encoding, Visualization

Chen, L., Dan, W., Cao, L., Wang, C., Li, J.,

IEEE DOI 1812Image resolution, Noise reduction, Signal resolution, Generators, White noise, Task analysis, Generative adversarial networks, GAN

Geiping, J.[Jonas], Dirks, H.[Hendrik], Cremers, D.[Daniel], Moeller, M.[Michael],

Papadopoulos, M.A., Rai, Y., Katsenou, A.V., Agrafiotis, D., Le Callet, P., Bull, D.R.[David R.],

Video quality enhancement via QP adaptation based on perceptual coding maps, ICIP17(2741-2745)

IEEE DOI 1803Bit rate, Encoding, Feature extraction, Sensitivity, Standards, Video coding, Visualization, HEVC, Perceptual coding maps, subjective quality

Tao, X., Gao, H., Liao, R., Wang, J., Jia, J.,

IEEE DOI 1802image resolution, motion compensation, neural nets, video signal processing, Optical variables control

IEEE DOI 1904convolutional neural nets, image enhancement, image fusion, image resolution, learning (artificial intelligence), Correlation

IEEE DOI 1802Adaptation models, Computational modeling, Dictionaries, Image resolution, Minimization, Redundancy, Testing

IEEE DOI 1709Acceleration, Correlation, Image resolution, Interpolation, Motion compensation, Videos, Visualization

mixed particle swarm optimization algorithm's application in image/video super-resolution reconstruction, ICIVC17(526-530)

IEEE DOI 1708Algorithm design and analysis, Convergence, Image reconstruction, Image resolution, Image sequences, Optimization, Particle swarm optimization, PSO, image/video, super-resolution, reconstruction

Fast video super-resolution via approximate nearest neighbor search, ICIP16(1141-1144)

Kappeler, A., Yoo, S., Dai, Q., Katsaggelos, A.K.,

Super-resolution of compressed videos using convolutional neural networks, ICIP16(1150-1154)

Confidence-aware Levenberg-Marquardt optimization for joint motion estimation and super-resolution, ICIP16(1136-1140)

Liao, R., Tao, X., Li, R., Ma, Z., Jia, J.,

GPU-aided real-time image/video super resolution based on error feedback, VCIP14(286-290)

Multi-view video super-resolution for hybrid cameras using modified NLM and adaptive thresholding, ICIP14(5437-5441)

Matsushita, Y.[Yuki], Kawasaki, H.[Hiroshi], Ono, S.[Shintaro], Ikeuchi, K.[Katsushi],

Simultaneous deblur and super-resolution technique for video sequence captured by hand-held video camera, ICIP14(4562-4566)

Enhancing coded video quality with perceptual foveation driven bit allocation strategy, VCIP13(1-6)

simultaneous method for 3D video super-resolution and high-quality depth estimation, ICIP13(1346-1350)

IEEE DOI 1402depth estimation;mixed-resolution 3D video;super-resolution

Video super-resolution using low rank matrix completion, ICIP13(1376-1380)

Video super-resolution for mixed resolution stereo, ICIP13(962-966)

Lee, C.M.[Chang-Ming], Lee, C.J.[Chien-Jung], Hsieh, C.Y.[Chia-Yung], Lie, W.N.[Wen-Nung],

Super-resolution reconstruction of video sequences based on wavelet-domain spatial and temporal processing, ICPR12(194-197).

Ayvaci, A.[Alper], Jin, H.L.[Hai-Lin], Lin, Z.[Zhe], Cohen, S.[Scott], Soatto, S.[Stefano],

Video upscaling via spatio-temporal self-similarity, ICPR12(2190-2193).

Video reconstruction using compressed sensing measurements and 3d total variation regularization for bio-imaging applications, ICIP12(917-920).

Matsuo, Y.[Yasutaka], Iwasaki, S.[Shinya], Yamamura, Y.[Yuta], Katto, J.[Jiro],

Wavelet domain image super-resolution from digital cinema to ultrahigh definition television by dividing noise component, VCIP12(1-6).

structure-guided conditional sampling model for video resolution enhancement, ICIP11(1169-1172).

Lakshman, H.[Haricharan], Schwarz, H.[Heiko], Blu, T.[Thierry], Wiegand, T.[Thomas],

Adaptive incremental video super-resolution with temporal consistency, ICIP11(1149-1152).

Adaptive frame and QP selection for temporally super-resolved full-exposure-time video, ICIP11(2253-2256).

Plenoptic based super-resolution for omnidirectional image sequences, ICIP10(2829-2832).

Detail warping based video super-resolution using image guides, ICIP10(2009-2012).

Generation of high resolution image based on accumulated feature trajectory, ICIP10(1997-2000).

Patch-based blind deconvolution with parametric interpolation of convolution kernels, ICIP13(577-581)

fast algorithm of video super-resolution using dimensionality reduction by DCT and example selection, ICPR08(1-5).

robust iterative multiframe SRR based on Hampel stochastic estimation with Hampel-Tikhonov regularization, ICPR08(1-4).

Resolution enhancement for video clips: tight frame approach, AVSBS05(406-410).

Motion compensated super-resolution of video by level sets evolution, ICIP04(III: 1767-1770).

High frequency component compensation based super-resolution algorithm for face video enhancement, ICPR04(III: 598-601).

Super-resolving compressed video with large artifacts, ICPR04(I: 516-519).

Velocity estimation from images sequence and application to super-resolution, ICIP99(III:527-531).

IEEE DOI contrast-invariant motion segmentation and frame fusion applied to forensic video evidence Human Posture, Clothing Related

Rosenhahn, B.[Bodo], Kersting, U.G.[Uwe G.], Powell, K.[Katie], Klette, R.[Reinhard], Klette, G.[Gisela], Seidel, H.P.[Hans-Peter],

system for articulated tracking incorporating a clothing model, MVA(18), No.

Clothing segmentation using foreground and background estimation based on the constrained Delaunay triangulation, PR(41), No.

complete system for garment segmentation and color classification, MVA(25), No.

See also Learning superpixel relations for supervised image segmentation.

Shen, J., LIU, G., Chen, J., Fang, Y., Xie, J., Yu, Y., Yan, S.,

Yan, C.G.C.[Cheng-Gang Clarence], Huang, L.[Lei], Wei, Z.Q.[Zhi-Qiang], Nie, J.[Jie], Chen, B.[Bochuan], Zhang, Y.P.[Ying-Ping],

Finding suits in images of people in unconstrained environments, JVCIR(25), No.

Wuhrer, S.[Stefanie], Pishchulin, L.[Leonid], Brunton, A.[Alan], Shu, C.[Chang], Lang, J.[Jochen],

Estimation of human body shape and posture under clothing, CVIU(127), No.

Elsevier DOI 1408Digital human shape and posture modeling

Shahu, A., Yang, J.L.[Jin-Long], Franco, J.S.[Jean-S�bastien], H�troy-Wheeler, F.[Franck], Wuhrer, S.[Stefanie],

Biasi, N.[Nicol�], Setti, F.[Francesco], del Bue, A.[Alessio], Tavernini, M.[Mattia], Lunardelli, M.[Massimo], Fornaser, A.[Alberto], da Lio, M.[Mauro], de Cecco, M.[Mariolino],

Garment-based motion capture (GaMoCap): High-density capture of human shape in motion, MVA(26), No.

Liang, X.D.[Xiao-Dan], Liu, S.[Si], Shen, X.H.[Xiao-Hui], Yang, J.C.[Jian-Chao], Liu, L.[Luoqi], Dong, J.[Jian], Lin, L.[Liang], Yan, S.C.[Shui-Cheng],

IEEE DOI 1512decomposing a human image into semantic fashion/body regions.

Liang, X.D.[Xiao-Dan], Xu, C., Shen, X.H.[Xiao-Hui], Yang, J.C.[Jian-Chao], Tang, J., Lin, L.[Liang], Yan, S.C.[Shui-Cheng],

Automatic alignment for virtual fitting using 3D garment stretching and human body relocation, VC(32), No.

Intrinsic sample mean in the space of planar shapes, PR(60), No.

Domingo, J., Sim�, A., Ib��ez, M.V., Dura, E., Ayala, G., Alemany, S.,

Active garment recognition and target grasping point detection using deep learning, PR(74), No.

Halstead, M.A.[Michael A.], Denman, S.[Simon], Sridharan, S.[Sridha], Tian, Y.[YingLi], Fookes, C.[Clinton],

Multimodal clothing recognition for semantic search in unconstrained surveillance imagery, JVCIR(58), 2019, pp.

Elsevier DOI 1901Soft biometrics, Dempster-Shafer theory, Surveillance, Semantic person search

Su, Z.[Zhuo], Guo, J.M.[Jia-Ming], Zhang, G.W.[Geng-Wei], Luo, X.H.[Xiang-Hui], Wang, R.M.[Ruo-Mei], Zhou, F.[Fan],

IEEE DOI 1905Training data, Data models, Machine learning, Data mining, Training, Computational modeling, Benchmark testing, person attribute recognition

IEEE DOI 1609clothing, data mining, face recognition, .

Adaptation models, Data models, Image recognition, Machine learning, Training, Training, data

Huang, C., Chen, J., Pan, Y., Lai, H., Yin, J., Huang, Q.,

IEEE DOI 1907Clothing, Probabilistic logic, Machine learning, Convolution, Image recognition, Deconvolution, Robustness, Image recognition, object detection

Matsumoto, T., Shimosato, K., Maeda, T., Murakami, T., Murakoso, K., Mino, K., Ukita, N.,

DOI Link 1806clothing, image motion analysis, learning (artificial intelligence), pose estimation, Smart phones

Hsieh, C., Chen, C., Chou, C., Shuai, H., Cheng, W.,

IEEE DOI 1910Virtual try-on, pose transformation, image synthesis

IEEE DOI 1910Human modeling, shape estimation, surface fitting, statistical shape space

Raj, A.[Amit], Sangkloy, P.[Patsorn], Chang, H.[Huiwen], Hays, J.[James], Ceylan, D.[Duygu], Lu, J.[Jingwan],

IEEE DOI 1802clothing, image motion analysis, image reconstruction, learning (artificial intelligence), recurrent neural nets, Visualization

IEEE DOI 1802clothing, image segmentation, learning (artificial intelligence), pose estimation, realistic images, rendering (computer graphics),

Song, Y., Li, Y., Wu, B., Chen, C.Y., Zhang, X., Adam, H.,

IEEE DOI 1802Atmospheric modeling, Complexity theory, Computational modeling, Data models, Degradation, Training, Training data

new numerical integration method using trapezoid formula for 3D virtual clothes animation, ICIVC17(572-576)

IEEE DOI 1708Animation, Mathematical model, Numerical models, Real-time systems, Solid modeling, Springs, clothes animation, massspring model, numerical integration, trapezoid, formula

Sun, Q.[Qi], Mirhosseini, S., Gutenko, I., Park, J.H.[Ji Hwan], Papadopoulos, C., Laha, B., Kaufman, A.,

Buyers satisfaction in a virtual fitting room scenario based on realism of avatar, 3DUI15(183-184)

new retexturing method for virtual fitting room using Kinect 2 camera, ChaLearn15(75-79)

Chen, Q.A.[Qi-Ang], Huang, J.S.[Jun-Shi], Feris, R.[Rogerio], Brown, L.M.[Lisa M.], Dong, J.[Jian], Yan, S.C.[Shui-Cheng],

Deep domain adaptation for describing people based on fine-grained clothing attributes, CVPR15(5315-5324)

The stitched puppet: A graphical model of 3D human shape and pose, CVPR15(3537-3546)

Multilinear pose and body shape estimation of dressed subjects from image sets, CVPR10(1823-1830).

Estimating complicated and overlapped human body postures by wearing a multiple-colored suit using color information processing, AFGR04(687-692).

Integration of pose recognition for a person wearing short or long sleeves, ICPR02(III: 1023-1026).