Binghui Chen
2016-2020, PhD
Pattern Recognition and Intelligent System Lab,
Information and Communication Engineering
Beijing University of Posts and Telecommunications,
Beijing, China
Research Fields: Face Recognition, Deep Embedding Learning, Object Classification, Person Re-ID
Advised by Prof. Weihong Deng
2020-present
Researcher at DAMO Academy, Alibaba Group, worked with Lei Zhang, and Xiansheng Hua
Now we recruit Research Interns (RI), and welcome students who are interested and have self-drive ability. The internship focuses on research and aims to publish top-level papers (in areas of Generative model/Detection/Segmentation).
Feel free to contact me and send your CV to chenbinghui@bupt.cn
Email : chenbinghui@bupt.edu.cn -> chenbinghui@bupt.cn
DAMO-StreamNet: Optimizing Streaming Perception in Autonomous Driving
Jun-Yan He, Zhi-Qi Cheng, Chenyang Li, Wangmeng Xiang, Binghui Chen, Bin Luo, Yifeng Geng, Xuansong Xie
Optimal Proposal Learning for Deployable End-to-End Pedestrian Detection
Xiaolin Song,Binghui Chen, Pengyu Li, Jun-Yan He, Biao Wang, Yifeng Geng, Xuansong Xie, Honggang Zhang
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing
Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang, Di Huang
Dense Learning based Semi-Supervised Object Detection
Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua
Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting
Binghui Chen*, Zhaoyi Yan*, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang
VirFace: Enhancing Face Recognition via Unlabeled Shallow Data
Wenyu Li*, Tianchu Guo*, Pengyu Li, Binghui Chen, Biao Wang, Wangmeng Zuo, Lei Zhang
CVPR 2021 [pdf] [pytorch] [bibtex]
Deep Metric Learning with Graph Consistency
Binghui Chen, Pengyu Li, Zhaoyi Yan, Biao Wang, Lei Zhang
Mixed High-Order Attention Network for Person Re-Identification
Binghui Chen, Weihong Deng, Jiani Hu
ICCV 2019 [pdf] [sup] [pytorch] [bibtex]
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval
Binghui Chen, Weihong Deng
CVPR 2019 [pdf] [caffe] [bibtex]
Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
Tongtong yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen
CVPR 2019 [pdf] [bibtex] [It has been integrated into Pytorch Metric Learning]
Energy Confused Adversarial Metric Learning for Zero-Shot Image Retrieval and Clustering (Spotlight)
Binghui Chen, Weihong Deng
AAAI 2019 [pdf] [caffe] [bibtex]
Virtual Class Enhanced Discriminative Embedding Learning (Spotlight)
Binghui Chen, Weihong Deng, Haifeng Shen
Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen, Weihong Deng, Junping Du.
Confusion based Metric Learning for Regularizing Zero-shot Image Retrieval and Clustering
Binghui Chen, Weihong Deng, Biao Wang, Lei Zhang
Deep Embedding Learning with Adaptive Large Margin N-pair Loss for Image Retrieval and Clustering
Binghui Chen, Weihong Deng
Pattern Recognition (PR) 2019 [pdf] [bibtex]
Deep Correlation Feature Learning for Face Verification in the Wild
Weihong Deng, Binghui Chen, Yuke Fang, Jiani Hu
IEEE Signal Processing Letter 2017 [pdf] [bibtex]
Fine-grained face verification: FGLFW database, baselines, and human-DCMN partnership
Weihong Deng, Jiani Hu, Nanhai Zhang, Binghui Chen, Jun Guo
Learning Better Features for Face Detection with Feature Fusion and Segmentation Supervision
Wanxin Tian, Zixuan Wan, Haifeng Shen, Weihong Deng, Binghui Chen, Xiubao Zhang
Arxiv(2018) We achieve the state-of-the-art performances on Face Detection(04/2019)
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating
Binghui Chen, Weihong Deng.