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 HealthVerified email at iterative.health
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
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
Dahua LinThe Chinese University of Hong KongVerified email at ie.cuhk.edu.hk
Jianxiong XiaoAutoX, Inc.Verified email at autox.ai
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

Artificial Intelligence Computer Vision Robotics


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	8441	2016
Learning Deep Features for Scene Recognition using Places Database B Zhou, A Lapedriza, J Xiao, A Torralba, A Oliva NIPS, 2014	3422	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	3238	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	2124	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	1321	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	1147	2018
Temporal relational reasoning in videos B Zhou, A Andonian, A Oliva, A Torralba European Conference on Computer Vision, 2018	977	2018
Unified perceptual parsing for scene understanding T Xiao, Y Liu, B Zhou, Y Jiang, J Sun European Conference on Computer Vision, 2018	924	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	780	2020
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	680	2014
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	499	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	476	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	468	2018
In-domain gan inversion for real image editing J Zhu, Y Shen, D Zhao, B Zhou European Conference on Computer Vision (ECCV), 2020	440	2020
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	400	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	393	2016
Closed-form factorization of latent semantics in gans Y Shen, B Zhou Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021	382	2021
Simple baseline for visual question answering B Zhou, Y Tian, S Sukhbaatar, A Szlam, R Fergus arXiv preprint arXiv:1512.02167, 2015	374	2015
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	353	2020
Lapedriza B Zhou, A Khosla A., A. Oliva, and A. Torralba. Learning Deep Features for Discriminative …, 2016	296	2016

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