Bolei Zhou

Ph.D. Candidate at MIT
Office: 32-D475B
Email: bolei@mit.edu
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About Me

• I am a fourth-year Ph.D. Candidate in Computer Science and Artificial Intelligence Laboratory (CSAIL) at MIT, advised by Prof. Antonio Torralba. I got the M.Eng. in Information Engineering at CUHK in July 2012 and B.Eng. in Biomedical Engineering at SJTU in June 2010.
• My research is on computer vision and machine learning, particularly I am interested in deep learning and vision tasks such as scene understanding and visual recognition.

Updates

[2017/02/27] CVPR'17 5th Scene Understanding Workshop (SUNw) will be hosted on July 26, 2017. Welcome to submit a workshop abstract to present your work.
[2017/01/31] I am organizing the CVPR'17 Tutorial on Deep Learning for Objects and Scenes.
[2017/01/31] New MIT Vision Seminar for Spring 2017 is open to MIT community.
[2016/10/22] MIT CSAIL News covered on the scene parsing and scene classification challenges.
[2016/10/10] I gave a talk titled Challenges in Deep Sceen Understanding at ECCV'16 ILSVRC and COCO workshop, on the overview and the results of the scene classification challenge 2016 and the scene parsing challenge 2016..
[2016/09/26] Results of the Places2 Scene Classification 2016 and Scene Parsing Challenge 2016 are released. Congratulations to the winners and thanks to all the participants!

Selected Publications

Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso and Antonio Torralba.
Scene Parsing through ADE20K Dataset.
To appear in CVPR'17.
[PDF][Dataset][Benchmark Page][Challenge Page][Toolkit&Code][Demo]
David Bau*, Bolei Zhou*, Aditya Khosla, Aude Oliva, and Antonio Torralba.
Network Dissection: Quantifying Interpretability of Deep Visual Representations.
To appear in CVPR'17 as oral. *-indicates equal contribution.
Shuang Li, Tong Xiao, Hongsheng Li, Bolei Zhou, Dayu Yue, Xiaogang Wang.
Person Search with Natural Language Description.
To appear in CVPR'17.
[PDF][Dataset]
J. Wong, V. Kee, T. Le, S.Wagner, G. Mariottini, A. Schneider, L. Hamilton, R. Chiaplkatty, M. Herbert, D. Johnson
J. Wu, B. Zhou, and A. Torralba.
SepICP: Integrated Deep Semantic Segmentation and Pose Estimation.
Submitted to IROS'17.
[PDF]
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Antonio Torralba, and Aude Oliva.
Places: An Image Database for Deep Scene Understanding.
arXiv:1610.02055, 2016.
[PDF][Places2 Dataset][Challenge Page][Places365 CNN models][Demo]
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso and Antonio Torralba.
Semantic Understanding of Scenes through ADE20K Dataset.
arXiv:1608.05442, 2016.
[PDF][Dataset][Benchmark Page][Challenge Page][Toolkit&Code][Demo]
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba
Learning Deep Features for Discriminative Localization.
Computer Vision and Pattern Recognition (CVPR), 2016 (arXiv:1512.04150)
[PDF] [arXiv][Project Page][Video of CNN shifting its attention]
Donglai Wei, Bolei Zhou, Antonio Torralba, William Freeman
Understanding Intra-Class Knowledge inside CNN.
arXiv:1507.02379, 2015.
[PDF][Page][Code]
Bolei Zhou, Yuandong Tian, Sainbar Suhkbaatar, Arthur Szlam, Rob Fergus
Simple Baseline for Visual Question Answering.
arXiv:1512.02167, 2015.
[PDF][Demo][Code]
Zi Wang, Bolei Zhou, Stephanie Jegelka
Optimization as Estimation with Gaussian Processes in Bandit Settings.
Artificial Intelligence and Statistics (AISTATS'16) as oral, 2016. (arXiv:1510.06423)
[PDF][Project][Code]
Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, and Antonio Torralba
Object Detectors Emerge in Deep Scene CNNs.
International Conference on Learning Representations (ICLR) as oral, 2015.(arXiv:1412.6856)
[PDF][Project Page][More Visualization]
Bolei Zhou, Vignesh Jagadeesh, and Robinson Piramuthu
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections.
Computer Vision and Pattern Recognition (CVPR), 2015.(arXiv:1411.5319)
[PDF][Project Page & Demo]
Bolei Zhou, Agata Lapedriza, Jianxiong Xiao, Antonio Torralba, and Aude Oliva
Learning Deep Features for Scene Recognition using Places Database.
Advances in Neural Information Processing Systems 27 (NIPS) spotlight, 2014.
[PDF][Project Page][Demo]
Bolei Zhou, Liu Liu, Aude Oliva and Antonio Torralba
Recognizing City Identity via Attribute Analysis of Geo-tagged Images.
Proceedings of 13th European Conference on Computer Vision (ECCV) , 2014.
[PDF][Project Page]
Liu Liu, Bolei Zhou, Jinhua Zhao, Brent D. Ryan
C-IMAGE: City Cognitive Mapping through Geo-tagged Photos
GeoJournal, Springer, 2016.
[PDF]
Bolei Zhou, Xiaoou Tang, Hepeng Zhang and Xiaogang Wang
Measuring Crowd Collectiveness.
IEEE transaction on Pattern Analysis and Machine Intelligence (PAMI), 2014.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) oral, 2013.
[PDF(CVPR)][PDF(TPAMI)][Project Page]
Bolei Zhou, Xiaoou Tang and Xiaogang Wang.
Learning Collective Crowd Behaviors with Dynamic Pedestrian-Agents.
International Journal of Computer Vision (IJCV), 2014.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) oral, 2012.
[PDF(CVPR)] [PDF(IJCV)][Project Page]
Bolei Zhou, Xiaoou Tang and Xiaogang Wang.
Coherent Filtering: Detecting Coherent Motions from Crowd Clutters.
In Proceedings of 12th European Conference on Computer Vision (ECCV), 2012.
[PDF] [Project Page]
Bolei Zhou, Xiaogang Wang and Xiaoou Tang.
Random Field Topic Model for Semantic Region Analysis in Crowded Scenes from Tracklets.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
[PDF][Project Page]
      Click here for the full publication list

Open-source codes

Honors

Professional activities

Talks

Media coverage

Collaborators

Personal interests