Tianfei Zhou

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i10-index	17	14

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Wenguan Wang (王文冠)Postdoctoral Scholar, ETH ZurichVerified email at vision.ee.ethz.ch
Jianbing ShenLead Scientist, Inception Institute of Artificial Intelligence (IIAI); Professor, BITVerified email at bit.edu.cn
Luc Van Goolprofessor computer vision ETH Zurich & KU Leuven, Head Toyota Lab TRACE @ KUL & ETHVerified email at ethz.ch
Jianwu LiBeijing Institute of TechnologyVerified email at bit.edu.cn
Ling Shao, Fellow of IEEE/IAPRCTO and Chief Scientist, National Center for Artificial Intelligence (NCAI), SDAIA, KSAVerified email at inceptioniai.org
Siyuan QiGoogleVerified email at ucla.edu
Yazhou YaoNanjing University of Science and TechnologyVerified email at njust.edu.cn
song-chun zhuProfessor of Statistics and Computer Science, UCLAVerified email at stat.ucla.edu
Ender KonukogluETH ZurichVerified email at vision.ee.ethz.ch
Martin DanelljanResearcher, ETH ZurichVerified email at vision.ee.ethz.ch
MENG QINGHAOVerified email at bit.edu.cn
Haibin LingSUNY Empire Innovation Professor, Stony Brook UniversityVerified email at cs.stonybrook.edu
Jian Zhang, PhDProfessor in Multimedia and Computer Vision, University of Technology, Sydney, AustraliaVerified email at uts.edu.au
Fisher YuETH ZurichVerified email at ethz.ch
Jifeng DaiExecutive Research Director, SenseTime ResearchVerified email at sensetime.com
Dengxin DaiMax Planck Institute for Informatics & ETH ZurichVerified email at mpi-inf.mpg.de
David CrandallProfessor of Computer Science, Indiana UniversityVerified email at indiana.edu
Fatih PorikliQualcomm, Australian National UniversityVerified email at anu.edu.au
Liulei LiBeijing Institute of TechnologyVerified email at bit.edu.cn
si liuBeihang UniversityVerified email at buaa.edu.cn

Tianfei Zhou

ETH Zurich

Verified email at vision.ee.ethz.ch - Homepage

Computer Vision Artificial Intelligence Medical Imaging


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Video Object Segmentation with Episodic Graph Memory Networks X Lu, W Wang, M Danelljan, T Zhou, J Shen, L Van Gool European Conference on Computer Vision (ECCV), 661--679, 2020	71	2020
Motion-attentive transition for zero-shot video object segmentation T Zhou, S Wang, Y Zhou, Y Yao, J Li, L Shao Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 13066 …, 2020	58	2020
Cascaded human-object interaction recognition T Zhou, W Wang, S Qi, H Ling, J Shen Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	56	2020
Matnet: Motion-attentive transition network for zero-shot video object segmentation T Zhou, J Li, S Wang, R Tao, J Shen IEEE Transactions on Image Processing 29, 8326-8338, 2020	38	2020
Exploring cross-image pixel contrast for semantic segmentation W Wang, T Zhou, F Yu, J Dai, E Konukoglu, L Van Gool Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021	37	2021
Cascaded parsing of human-object interaction recognition T Zhou, S Qi, W Wang, J Shen, SC Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021	27	2021
Web-Supervised Network with Softly Update-Drop Training for Fine-Grained Visual Classification C Zhang, Y Yao, H Liu, G Xie, X Shu, T Zhou, Z Zhang, F Shen, Z Tang Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020	26	2020
Group-wise semantic mining for weakly supervised semantic segmentation X Li, T Zhou, J Li, Y Zhou, Z Zhang arXiv preprint arXiv:2012.05007, 2020	22	2020
Weakly Supervised 3D Object Detection from Lidar Point Cloud Q Meng, W Wang, T Zhou, J Shen, L Van Gool, D Dai European Conference on Computer Vision, 2020	21	2020
SCLNet: Spatial context learning network for congested crowd counting S Wang, Y Lu, T Zhou, H Di, L Lu, L Zhang Neurocomputing 404, 227-239, 2020	20	2020
Video object segmentation aggregation T Zhou, Y Lu, H Di, J Zhang 2016 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2016	18*	2016
Hierarchical human semantic parsing with comprehensive part-relation modeling W Wang, T Zhou, S Qi, J Shen, SC Zhu IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021	17	2021
Locality-constrained collaborative model for robust visual tracking T Zhou, Y Lu, H Di IEEE Transactions on Circuits and Systems for Video Technology 27 (2), 313-325, 2017	17	2017
Nearest neighbor field driven stochastic sampling for abrupt motion tracking T Zhou, Y Lu, H Di 2014 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2014	14	2014
Online visual tracking using multiple instance learning with instance significance estimation T Zhou, Y Lu, M Qiu arXiv preprint arXiv:1501.04378, 1-5, 2015	12*	2015
Contrast-Attentive Thoracic Disease Recognition with Dual-Weighting Graph Reasoning Y Zhou, T Zhou, H Fu, J Liu, L Shao IEEE Transactions on Medical Imaging 40 (4), 1196-1206, 2021	11	2021
Abrupt motion tracking via nearest neighbor field driven stochastic sampling T Zhou, Y Lu, F Lv, H Di, Q Zhao, J Zhang Neurocomputing 165, 350-360, 2015	10	2015
Towards a weakly supervised framework for 3d point cloud object detection and annotation Q Meng, W Wang, T Zhou, J Shen, Y Jia, L Van Gool IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021	9	2021
A survey on deep learning technique for video segmentation W Wang, T Zhou, F Porikli, D Crandall, L Van Gool arXiv preprint arXiv:2107.01153, 2021	8	2021
Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation T Zhou, J Li, X Li, L Shao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021	8*	2021

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