Conference & Journal Publications

$\boldsymbol M^2$KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning

Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu and Larry Davis. In British Machine Vision Conference. BMVC 2020. PDF

Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition

Ding Hui, Peng Zhou and Rama Chellappa. In International Joint Conference on Biometrics. IJCB 2020. PDF

Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis and Mario Fritz. In Proceedings of European Conference on Computer Vision. ECCV 2020. PDF Code

DeepStrip: High Resolution Boundary Refinement

Peng Zhou, Brian Price, Scott Cohen, Gregg Wilensky and Larry Davis. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2020. PDF

Generate, Segment and Refine: Towards Generic Manipulation Segmentation

Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim and Larry Davis. In Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI 2020. PDF Code

Learning Rich Features for Image Manipulation Detection

Peng Zhou, Xintong Han, Vlad Morariu and Larry Davis. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2018. PDF Code

Two-stream Neural Networks for Tampered Face Detection

Peng Zhou$ * $, Xintong Han$ * $, Vlad Morariu and Larry Davis. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshop. CVPRW 2017. PDF Dataset

Demonstration of M-ary Encoding/Decoding Using Visible-Light Bessel Beams Carrying Orbital Angular Momentum (OAM) For Free-Space Obstruction-Free Optical Communications

Jing Du, Shuihui Li, Yifan Zhao, Zhidan Xu, Long Zhu, Peng Zhou, Jun Liu and Jian Wang. In Optical Fiber Communications Conference and Exhibition. OFC 2015 PDF

($ * $: Equal contribution)