Angela Yao

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Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KUL&ETHVerified email at ethz.ch
Juergen GallUniversity of BonnVerified email at iai.uni-bonn.de
Fadime SenerReality Labs Research @ MetaVerified email at cs.uni-bonn.de
Linlin YangNational University of SingaporeVerified email at nus.edu.sg
Dipika SinghaniaNational University of SingaporeVerified email at comp.nus.edu.sg
Chengde WanFacebook Reality LabVerified email at oculus.com
Reinhard KleinProfessor of Computer Science, Bonn UniversityVerified email at cs.uni-bonn.de
Thomas ProbstETH ZurichVerified email at vision.ee.ethz.ch
Moritz WolterHigh Performance Computing and Analytics Lab, Bonn UniversityVerified email at cs.uni-bonn.de
Victor LempitskyCinemersive LabsVerified email at cinemersivelabs.com
Nima RazaviETH ZurichVerified email at vision.ee.ethz.ch
Soumajit MajumderUniversity of Bonn | Past - Amazon, Philips Research, RWTH AachenVerified email at uni-bonn.de
Gabriele FanelliAppleVerified email at apple.com
Tat-Seng ChuaNational University of SingaporeVerified email at comp.nus.edu.sg
Gianni FranchiU2IS, ENSTA Paris, Institut Polytechnique de ParisVerified email at ensta-paris.fr
Jun LiNational University of Defense Technology, ChinaVerified email at nudt.edu.cn
Shaohui Lin (林绍辉)East China Normal UniversityVerified email at cs.ecnu.edu.cn
Rahul RahamanPhD student at National University of SingaporeVerified email at u.nus.edu
Junbin Xiao (肖俊斌)National University of SingaporeVerified email at comp.nus.edu.sg
Andreas WeberProfessor of Computer Science, University of BonnVerified email at cs.uni-bonn.de

Angela Yao

National University of Singapore

Verified email at comp.nus.edu.sg - Homepage

computer vision deep learning machine learning


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Hough forests for object detection, tracking, and action recognition J Gall, A Yao, N Razavi, L Van Gool, V Lempitsky IEEE transactions on pattern analysis and machine intelligence 33 (11), 2188 …, 2011	763	2011
A hough transform-based voting framework for action recognition A Yao, J Gall, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2061-2068, 2010	356	2010
A Two-Streamed Network for Estimating Fine-Scaled Depth Maps From Single RGB Images J Li, R Klein, A Yao Proceedings of the International Conference on Computer Vision (ICCV), 3372-3380, 2017	250	2017
Does human action recognition benefit from pose estimation? A Yao, J Gall, G Fanelli, L Van Gool Proceedings of the 22nd British Machine Vision Conference (BMVC), 2011	238	2011
A Two-streamed network for estimating fine-scaled depth maps from single RGB images J Li, C Yuce, R Klein, A Yao Computer Vision and Image Understanding (CVIU) 186, 25-36, 2019	237	2019
Crossing nets: Combining GANs and VAEs with a shared latent space for hand pose estimation C Wan, T Probst, L Van Gool, A Yao 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017	216*	2017
Dense 3D Regression for Hand Pose Estimation C Wan, T Probst, L Van Gool, A Yao 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018	165	2018
Coupled action recognition and pose estimation from multiple views A Yao, J Gall, L Van Gool International Journal of Computer Vision (IJCV) 100 (1), 16-37, 2012	153	2012
Rethinking CNN models for audio classification K Palanisamy, D Singhania, A Yao arXiv preprint arXiv:2007.11154, 2020	118	2020
Interactive object detection A Yao, J Gall, C Leistner, L Van Gool IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3242-3249, 2012	113	2012
Disentangling latent hands for image synthesis and pose estimation L Yang, A Yao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9877-9886, 2019	111	2019
Hand pose estimation from local surface normals C Wan, A Yao, L Van Gool European conference on computer vision, 554-569, 2016	103	2016
Unsupervised Learning and Segmentation of Complex Activities from Video F Sener, A Yao 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018	97	2018
Self-supervised 3d hand pose estimation through training by fitting C Wan, T Probst, L Van Gool, A Yao IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 10853-10862, 2019	91	2019
Temporal Aggregate Representations for Long-Range Video Understanding F Sener, D Singhania, A Yao European Conference on Computer Vision (ECCV), 2020	84	2020
Variations of a hough-voting action recognition system D Waltisberg, A Yao, J Gall, L Van Gool International Conference on Pattern Recognition (ICPR), 306-312, 2010	83	2010
Efficient unsupervised temporal segmentation of motion data B Krüger, A Vögele, T Willig, A Yao, R Klein, A Weber IEEE Transactions on Multimedia 19 (4), 797-812, 2016	80	2016
Aligning latent spaces for 3d hand pose estimation L Yang, S Li, D Lee, A Yao Proceedings of the IEEE/CVF international conference on computer vision …, 2019	75	2019
Content-aware multi-level guidance for interactive instance segmentation S Majumder, A Yao IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 11602 …, 2019	74	2019
2D action recognition serves 3D human pose estimation J Gall, A Yao, L Van Gool European Conference on Computer Vision (ECCV), 425-438, 2010	73	2010

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