Bolei Zhou

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Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Aude OlivaSenior Research Scientist, MIT; MIT Director MIT-IBM Watson AI Lab; Director MIT Quest CorporateVerified email at mit.edu
Àgata LapedrizaUniversitat Oberta de CatalunyaVerified email at uoc.edu
Aditya KhoslaCo-founder and CTO, PathAIVerified email at pathai.com
Xiaogang WangAssociate Professor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
David BauPhD Student at MITVerified email at mit.edu
Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Yujun ShenPhD at The Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Hendrik StrobeltIBM Research / MIT-IBM Watson AI LabVerified email at strobelt.com
Jianxiong XiaoAutoX, Inc.Verified email at autox.ai
Wanli Ouyang (欧阳万里)Associate Professor at The University of SydneyVerified email at sydney.edu.au
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Hang ZhaoAssistant Professor, Tsinghua University, MIT Ph.D.Verified email at csail.mit.edu
Xavier PuigPhD Student, MITVerified email at mit.edu
Alex AndonianPhD Student in EECS, MITVerified email at mit.edu
Jianping ShiSenseTime Group LimitedVerified email at sensetime.com
Tete XiaoPhD Student, BAIR, UC BerkeleyVerified email at berkeley.edu
Yikang LiShanghai AI Lab; Sensetime Technology Ltd.Verified email at pjlab.org.cn
Dahua LinThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk

Bolei Zhou

Assistant Professor at The Chinese University of Hong Kong

Verified email at ie.cuhk.edu.hk - Homepage

Artificial Intelligence Machine Learning Computer Vision


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning deep features for discriminative localization B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2016	4065	2016
Learning Deep Features for Scene Recognition using Places Database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva NIPS, 2014	2860	2014
Places: A 10 million image database for scene recognition B Zhou, A Lapedriza, A Khosla, A Oliva, A Torralba IEEE transactions on pattern analysis and machine intelligence 40 (6), 1452-1464, 2017	1589	2017
Object detectors emerge in deep scene cnns B Zhou, A Khosla, A Lapedriza, A Oliva, A Torralba International Conference on Learning Representations (ICLR) 2015, 2014	992	2014
Scene parsing through ade20k dataset B Zhou, H Zhao, X Puig, S Fidler, A Barriuso, A Torralba Proceedings of the IEEE conference on computer vision and pattern …, 2017	982	2017
Network dissection: Quantifying interpretability of deep visual representations D Bau, B Zhou, A Khosla, A Oliva, A Torralba Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017	780	2017
Semantic understanding of scenes through the ADE20K dataset B Zhou, H Zhao, X Puig, T Xiao, S Fidler, A Barriuso, A Torralba International Journal on Computer Vision, 2018	501	2018
Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018	478	2018
Understanding collective crowd behaviors: Learning a mixture model of dynamic pedestrian-agents B Zhou, X Wang, X Tang 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2871-2878, 2012	315	2012
Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016	290	2016
Scene graph generation from objects, phrases and region captions Y Li, W Ouyang, B Zhou, K Wang, X Wang Proceedings of the IEEE International Conference on Computer Vision, 1261-1270, 2017	283	2017
Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus arXiv preprint arXiv:1512.02167, 2015	274	2015
Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun European Conference on Computer Vision, 2018	227	2018
Measuring Crowd Collectiveness B Zhou, X Tang, H Zhang, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014	226	2014
Moments in time dataset: one million videos for event understanding M Monfort, A Andonian, B Zhou, K Ramakrishnan, SA Bargal, T Yan, ... IEEE transactions on pattern analysis and machine intelligence 42 (2), 502-508, 2019	223	2019
Gan dissection: Visualizing and understanding generative adversarial networks D Bau, JY Zhu, H Strobelt, B Zhou, JB Tenenbaum, WT Freeman, ... arXiv preprint arXiv:1811.10597, 2018	219	2018
Interpreting the latent space of gans for semantic face editing Y Shen, J Gu, X Tang, B Zhou Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	198	2020
Random field topic model for semantic region analysis in crowded scenes from tracklets B Zhou, X Wang, X Tang Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2011	178	2011
Person search with natural language description S Li, T Xiao, H Li, B Zhou, D Yue, X Wang Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017	165	2017
Coherent filtering: Detecting coherent motions from crowd clutters B Zhou, X Tang, X Wang European Conference on Computer Vision, 857-871, 2012	140	2012

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