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
Aditya KhoslaCTO, Iterative HealthVerified email at iterative.health
Àgata LapedrizaUniversitat Oberta de CatalunyaVerified email at uoc.edu
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
Sanja FidlerUniversity of Toronto, NVIDIAVerified email at cs.toronto.edu
Xavier PuigFAIR, MITVerified email at meta.com
Jianping ShiSenseTime Group LimitedVerified email at sensetime.com
Alex AndonianPhD Student in EECS, MITVerified email at mit.edu
Dahua LinThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Yikang LiShanghai AI Lab; IDG CapitalVerified email at pjlab.org.cn
Wanli Ouyang (欧阳万里)Shanghai AI LabVerified email at sydney.edu.au
Jiankai SunStanford UniversityVerified email at cs.stanford.edu
Rui XuThe Chinese University of Hong Kong, PhDVerified email at ie.cuhk.edu.hk
Jinjin GUThe University of Sydney, School of Electrical and Information EngineeringVerified email at sydney.edu.au

Bolei Zhou

Assistant Professor at UCLA

Verified email at ucla.edu - Homepage

Computer Vision Robotics Artificial Intelligence


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	9792	2016
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	3762	2017
Learning Deep Features for Scene Recognition using Places Database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva NIPS, 2014	3548	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	2574	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	1481	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	1403	2018
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	1402	2014
Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun European Conference on Computer Vision, 2018	1229	2018
Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018	1109	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	938	2020
In-domain gan inversion for real image editing J Zhu, Y Shen, D Zhao, B Zhou European Conference on Computer Vision (ECCV), 2020	557	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	551	2017
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	542	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	527	2018
Closed-form factorization of latent semantics in gans Y Shen, B Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	486	2021
InterFaceGAN: Interpreting the Disentangled Face Representation Learned by GANs Y Shen, C Yang, X Tang, B Zhou IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020	453	2020
Places: An image database for deep scene understanding B Zhou, A Khosla, A Lapedriza, A Torralba, A Oliva arXiv preprint arXiv:1610.02055, 2016	429	2016
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	417	2012
Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus arXiv preprint arXiv:1512.02167, 2015	386	2015
Gan inversion: A survey W Xia, Y Zhang, Y Yang, JH Xue, B Zhou, MH Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (3), 3121-3138, 2022	378	2022

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