Bolei Zhou

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Antonio TorralbaProfessor of Computer Science, MITVerified email at csail.mit.edu
Aude OlivaSenior Research Scientist, CSAIL, MIT Director MIT-IBM Lab, MIT College Director IndustryVerified email at mit.edu
Àgata LapedrizaUniversitat Oberta de CatalunyaVerified email at uoc.edu
Aditya KhoslaCTO, Iterative ScopesVerified email at iterativescopes.com
David BauAssistant Professor at Northeastern UniversityVerified email at northeastern.edu
Xiaogang WangProfessor of Electronic Engineering, the Chinese University of Hong KongVerified email at ee.cuhk.edu.hk
Xiaoou TangThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Hang ZhaoAssistant Professor, Tsinghua UniversityVerified email at csail.mit.edu
Jun-Yan ZhuAssistant Professor, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Hendrik StrobeltIBM Research / MIT-IBM Watson AI LabVerified email at strobelt.com
Jianping ShiSenseTime Group LimitedVerified email at sensetime.com
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Xavier PuigPhD Student, MITVerified email at mit.edu
Tete XiaoBAIR, UC BerkeleyVerified email at berkeley.edu
Alex AndonianPhD Student in EECS, MITVerified email at mit.edu
Jianxiong XiaoAutoX, Inc.Verified email at autox.ai
Wanli Ouyang (欧阳万里)The University of SydneyVerified email at sydney.edu.au
Dahua LinThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Yikang LiShanghai AI Lab; IDG CapitalVerified email at pjlab.org.cn
Liu LiuCEO of Shanghai CitoryTech Information Technology Co. LTDVerified email at citorytech.com

Bolei Zhou

Assistant Professor at UCLA

Verified email at ucla.edu - 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	6557	2016
Learning Deep Features for Scene Recognition using Places Database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva NIPS, 2014	3203	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	2524	2017
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	1570	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	1205	2014
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	1079	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	800	2018
Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018	756	2018
Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun European Conference on Computer Vision, 2018	518	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	491	2020
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	404	2017
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	373	2012
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	366	2019
Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016	355	2016
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	351	2018
Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus arXiv preprint arXiv:1512.02167, 2015	341	2015
In-domain gan inversion for real image editing J Zhu, Y Shen, D Zhao, B Zhou European Conference on Computer Vision (ECCV), 2020	260	2020
Measuring Crowd Collectiveness B Zhou, X Tang, H Zhang, X Wang IEEE Transactions on Pattern Analysis and Machine Intelligence, 2014	256	2014
Lapedriza B Zhou, A Khosla A., A. Oliva, and A. Torralba. Learning Deep Features for Discriminative …, 2016	240	2016
Factorizable net: an efficient subgraph-based framework for scene graph generation Y Li, W Ouyang, B Zhou, J Shi, C Zhang, X Wang Proceedings of the European Conference on Computer Vision (ECCV), 335-351, 2018	229	2018

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