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

[2017/01/31] I am organizing the CVPR'17 Tutorial on Deep Learning for Objects and Scenes.
[2017/01/31] New MIT Vision Seminar for Spring 2017 comes, which will be broadcasted for wider audiences.
[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

B. Zhou, A. Khosla, A. Lapedriza, A. Torralba, and A. Oliva.
Places: An Image Database for Deep Scene Understanding.
arXiv:1610.02055, 2016.
[PDF][Places2 Dataset][Challenge Page][Places365 CNN models][Demo]
B. Zhou, H. Zhao, X. Puig, S. Fidler, A. Barriuso and A. Torralba.
Semantic Understanding of Scenes through ADE20K Dataset.
arXiv:1608.05442, 2016.
[PDF][Dataset][Benchmark Page][Challenge Page][Toolkit&Code][Demo]
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. 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]
D. Wei, B. Zhou, A. Torralba, W. Freeman
Understanding Intra-Class Knowledge inside CNN.
arXiv:1507.02379, 2015.
[PDF][Page][Code]
B. Zhou, Y. Tian, S. Suhkbaatar, A. Szlam, R. Fergus
Simple Baseline for Visual Question Answering.
arXiv:1512.02167, 2015.
[PDF][Demo][Code]
Z. Wang, B. Zhou, S. 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]
B. Zhou, A. Khosla, A. Lapedriza, A. Oliva, and A. 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]
B. Zhou, V. Jagadeesh, and R. Piramuthu
ConceptLearner: Discovering Visual Concepts from Weakly Labeled Image Collections.
Computer Vision and Pattern Recognition (CVPR), 2015.(arXiv:1411.5319)
[PDF][Project Page & Demo]
B. Zhou, A. Lapedriza, J. Xiao, A. Torralba, and A. Oliva
Learning Deep Features for Scene Recognition using Places Database.
Advances in Neural Information Processing Systems 27 (NIPS) spotlight, 2014.
[PDF][Project Page][Demo]
B. Zhou, L. Liu, A. Oliva and A. Torralba
Recognizing City Identity via Attribute Analysis of Geo-tagged Images.
Proceedings of 13th European Conference on Computer Vision (ECCV) , 2014.
[PDF][Project Page]
L.Liu, B. Zhou, J. Zhao, B.D.Ryan
C-IMAGE: City Cognitive Mapping through Geo-tagged Photos
GeoJournal, Springer, 2016.
[PDF]
B. Zhou, X. Tang, H. Zhang and X. 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]
B. Zhou, X. Tang and X. 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]
B. Zhou, X. Tang and X. Wang.
Coherent Filtering: Detecting Coherent Motions from Crowd Clutters.
In Proceedings of 12th European Conference on Computer Vision (ECCV), 2012.
[PDF] [Project Page]
B. Zhou, X. Wang and X. 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