Angela Yao

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Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Juergen GallUniversity of BonnVerified email at iai.uni-bonn.de
Chengde WanFacebook Reality LabVerified email at oculus.com
Fadime SenerUniversität BonnVerified email at informatik.uni-bonn.de
Thomas ProbstETH ZurichVerified email at vision.ee.ethz.ch
Reinhard KleinProfessor of Computer Science, Bonn UniversityVerified email at cs.uni-bonn.de
Linlin YangUniversity of BonnVerified email at informatik.uni-bonn.de
Moritz WolterFraunhofer Center for Machine Learning and SCAIVerified email at cs.uni-bonn.de
Victor LempitskyYandex & Skolkovo Institute of Science and TechnologyVerified email at skoltech.ru
Nima RazaviETH ZurichVerified email at vision.ee.ethz.ch
Dipika SinghaniaNational University of SingaporeVerified email at comp.nus.edu.sg
Gabriele FanelliAppleVerified email at apple.com
Jun LiNational University of Defense Technology, ChinaVerified email at nudt.edu.cn
Soumajit MajumderUniversity of Bonn | Past - Amazon, Philips Research, RWTH AachenVerified email at uni-bonn.de
Gianni FranchiU2IS, ENSTA Paris, Institut Polytechnique de ParisVerified email at ensta-paris.fr
Andreas WeberProfessor of Computer Science, University of BonnVerified email at cs.uni-bonn.de
Shile LiTechnical University of MunichVerified email at mytum.de
Christian LeistnerAmazon Prime AirVerified email at amazon.com
Anna VögeleScientific Researcher, Bonn University - Computer GraphicsVerified email at cs.uni-bonn.de
Björn KrügerGokhale Method InstituteVerified 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	717	2011
A hough transform-based voting framework for action recognition A Yao, J Gall, L Van Gool 2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010	337	2010
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, 2011	222	2011
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	185*	2017
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	178	2017
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	168	2019
Coupled action recognition and pose estimation from multiple views A Yao, J Gall, L Van Gool International journal of computer vision 100 (1), 16-37, 2012	149	2012
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	118	2018
Interactive object detection A Yao, J Gall, C Leistner, L Van Gool 2012 IEEE conference on computer vision and pattern recognition, 3242-3249, 2012	97	2012
Hand pose estimation from local surface normals C Wan, A Yao, L Van Gool European conference on computer vision, 554-569, 2016	88	2016
Variations of a hough-voting action recognition system D Waltisberg, A Yao, J Gall, L Van Gool International conference on Pattern Recognition, 306-312, 2010	82	2010
Disentangling latent hands for image synthesis and pose estimation L Yang, A Yao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	73	2019
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	69	2016
Learning probabilistic non-linear latent variable models for tracking complex activities A Yao, J Gall, LV Gool, R Urtasun Advances in Neural Information Processing Systems 24, 1359-1367, 2011	68	2011
2d action recognition serves 3d human pose estimation J Gall, A Yao, L Van Gool European Conference on Computer Vision, 425-438, 2010	68	2010
Unsupervised Learning and Segmentation of Complex Activities from Video F Sener, A Yao 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018	62	2018
Hough forest-based facial expression recognition from video sequences G Fanelli, A Yao, PL Noel, J Gall, L Van Gool European Conference on Computer Vision, 195-206, 2010	59	2010
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	55	2019
Self-supervised 3d hand pose estimation through training by fitting C Wan, T Probst, L Van Gool, A Yao Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019	55	2019
Rethinking cnn models for audio classification K Palanisamy, D Singhania, A Yao arXiv preprint arXiv:2007.11154, 2020	41	2020

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