Peng Zhou

According to our database, Peng Zhou authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning to Rank Patches for Unbiased Image Redundancy Reduction.

Yang Luo, Zhineng Chen, Peng Zhou, Zuxuan Wu, Xieping Gao, Yu-Gang Jiang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning.

Bingchen Huang, Zhineng Chen, Peng Zhou, Jiayin Chen, Zuxuan Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Deep Video Inpainting Detection.

Peng Zhou, Ning Yu, Zuxuan Wu, Larry Davis, Abhinav Shrivastava, Ser-Nam Lim

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Deep Learning for Forensics.

Peng Zhou

PhD thesis, 2020

Inclusive GAN: Improving Data and Minority Coverage in Generative Models.

Ning Yu, Ke Li, Peng Zhou, Jitendra Malik, Larry Davis, Mario Fritz

Proceedings of the Computer Vision - ECCV 2020, 2020

Deepstrip: High-Resolution Boundary Refinement.

Peng Zhou, Brian L. Price, Scott Cohen, Gregg Wilensky, Larry S. Davis

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

M2KD: Incremental Learning via Multi-model and Multi-level Knowledge Distillation.

Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry Davis

Proceedings of the 31st British Machine Vision Conference 2020, 2020

Generate, Segment, and Refine: Towards Generic Manipulation Segmentation.

Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, Larry Davis

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning.

Peng Zhou, Long Mai, Jianming Zhang, Ning Xu, Zuxuan Wu, Larry S. Davis

CoRR, 2019

2018

Distant supervision for relation extraction with hierarchical selective attention.

Peng Zhou, Jiaming Xu, Zhenyu Qi, Hongyun Bao, Zhineng Chen, Bo Xu

Neural Networks, 2018

Generate, Segment and Replace: Towards Generic Manipulation Segmentation.

Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Larry S. Davis

CoRR, 2018

Learning Rich Features for Image Manipulation Detection.

Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Two-Stream Neural Networks for Tampered Face Detection.

Peng Zhou, Xintong Han, Vlad I. Morariu, Larry S. Davis

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

Joint Extraction of Multiple Relations and Entities by Using a Hybrid Neural Network.

Peng Zhou, Suncong Zheng, Jiaming Xu, Zhenyu Qi, Hongyun Bao, Bo Xu

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017

Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme.

Suncong Zheng, Feng Wang, Hongyun Bao, Yuexing Hao, Peng Zhou, Bo Xu

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

A neural network framework for relation extraction: Learning entity semantic and relation pattern.

Suncong Zheng, Jiaming Xu, Peng Zhou, Hongyun Bao, Zhenyu Qi, Bo Xu

Knowl. Based Syst., 2016

Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling.

Peng Zhou, Zhenyu Qi, Suncong Zheng, Jiaming Xu, Hongyun Bao, Bo Xu

Proceedings of the COLING 2016, 2016

Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification.

Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao, Bo Xu

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016