Adaptive Drag: Semantic-Driven Dragging on Diffusion-Based Image Editing
Chen duosheng, Binghui Chen, Yifeng Geng, Liefeng Bo

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ReplaceAnything as you want: Ultra-high quality content replacement
Binghui Chen*, Chao Li*, Chongyang Zhong, Wangmeng Xiang, Yifeng Geng, Xuansong Xie

PDF soon    Code/Demo (git star 2k)    

Strictly-ID-Preserved and Controllable Accessory Advertising Image Generation
Youze Xue, Binghui Chen, Yifeng Geng, Xuansong Xie, Jiansheng Chen, Hongbing Ma

Arxiv(2024)    

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.

Arxiv(2018)    

ShoeModel: Learning to Wear on the User-specified Shoes via Diffusion Model
Binghui Chen*, Wenyu Li*, Yifeng Geng, Xuansong Xie, Wangmeng Zuo

ECCV (2024)    [pdf]    

Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
Mingyue Guo, Li Yuan, Zhaoyi Yan, Binghui Chen, Yaowei Wang, Qixiang Ye

CVPR 2024    [pdf]    

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

IJCAI 2023    [pdf]    

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

CVPR 2023    [pdf]    

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

AAAI 2023    [pdf]    

Dense Learning based Semi-Supervised Object Detection
Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua

CVPR 2022    [pdf]    [pytorch]

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

ICCV 2021    [pdf]    [pytorch]

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

AAAI 2021    [pdf]    [bibtex]

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

NIPS 2018    [pdf]    [bibtex]

Noisy Softmax: Improving the Generalization Ability of DCNN via Postponing the Early Softmax Saturation
Binghui Chen, Weihong Deng, Junping Du.

CVPR 2017    [pdf]    [bibtex]

SA3WT: Adaptive Wavelet-based Transformer with Self-paced Auto Augmentation for Face Forgery Detection
Yihui Li, Yifan Zhang, Hongyu Yang, Binghui Chen, and Di Huang

IJCV 2024    [pdf]

Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting
Mingyue Guo, Binghui Chen, Zhaoyi Yan, Yaowei Wang, Qixiang Ye

IEEE TNNLS 2024    [pdf]

Confusion based Metric Learning for Regularizing Zero-shot Image Retrieval and Clustering
Binghui Chen, Weihong Deng, Biao Wang, Lei Zhang

IEEE TNNLS 2022    [pdf]

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

Pattern Recognition (PR) 2017    [pdf]    [bibtex]

• Excellent Doctoral Dissertation of BUPT, Oct, 2020
• Nomination of Top 10 Pioneers in BUPT, Jun, 2020
• Excellent PhD Students in BUPT, Jan, 2019
• The 9-th Freescale Intelligent Car Racing, National Second Prize, Aug, 2014
• Meritorious Winner in MCM/ICM, Feb, 2014

Reviewer: TPAMI, CVPR, ICCV, ECCV, ICML, NeurIPS, ICLR, AAAI