Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade. - Erjin Zhou; Haoqiang Fan; Zhimin Cao; Yuning Jiang 001; Qi Yin (ICCV Workshops, 2013)

Large scale recurrent neural network on GPU. - Boxun Li; Erjin Zhou; Bo Huang; Jiayi Duan; Yu Wang 002; Ningyi Xu; Jiaxing Zhang; Huazhong Yang (IJCNN, 2014)

Learning Face Hallucination in the Wild. - Erjin Zhou; Haoqiang Fan; Zhimin Cao; Yuning Jiang 001; Qi Yin (AAAI, 2015)

Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression. - Zhiao Huang; Erjin Zhou; Zhimin Cao (CoRR, 2015)

Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not? - Erjin Zhou; Zhimin Cao; Qi Yin (CoRR, 2015)

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network. - Jiantao Qiu; Jie Wang 022; Song Yao; Kaiyuan Guo; Boxun Li; Erjin Zhou; Jincheng Yu; Tianqi Tang 001; Ningyi Xu; Sen Song; Yu Wang 002; Huazhong Yang (FPGA, 2016)

Approaching human level facial landmark localization by deep learning. - Haoqiang Fan; Erjin Zhou (Image Vis. Comput., 2016)

Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization. - Xi Chen; Erjin Zhou; Yuchen Mo; Jiancheng Liu; Zhimin Cao (CVPR Workshops, 2017)

Symmetric Variational Autoencoder and Connections to Adversarial Learning. - Liqun Chen 001; Shuyang Dai; Yunchen Pu; Erjin Zhou; Chunyuan Li; Qinliang Su; Changyou Chen; Lawrence Carin (AISTATS, 2018)

GridFace: Face Rectification via Learning Local Homography Transformations. - Erjin Zhou; Zhimin Cao; Jian Sun 001 (ECCV (16), 2018)

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification. - Guan'an Wang; Shuo Yang 002; Huanyu Liu; Zhicheng Wang 001; Yang Yang 062; Shuliang Wang 001; Gang Yu 002; Erjin Zhou; Jian Sun 001 (CVPR, 2020)

DPGN: Distribution Propagation Graph Network for Few-Shot Learning. - Ling Yang 006; Liangliang Li; Zilun Zhang; Xinyu Zhou; Erjin Zhou; Yu Liu (CVPR, 2020)

Learning Delicate Local Representations for Multi-person Pose Estimation. - Yuanhao Cai; Zhicheng Wang 001; Zhengxiong Luo 001; Binyi Yin; Angang Du; Haoqian Wang; Xiangyu Zhang 005; Xinyu Zhou; Erjin Zhou; Jian Sun 001 (ECCV (3), 2020)

Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation. - Zhengxiong Luo 001; Zhicheng Wang 001; Yan Huang 008; Tieniu Tan; Erjin Zhou (CoRR, 2020)

General Instance Distillation for Object Detection. - Xing Dai; Zeren Jiang; Zhao Wu; Yiping Bao; Zhicheng Wang 001; Si Liu 001; Erjin Zhou (CVPR, 2021)

Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation. - Zhengxiong Luo 001; Zhicheng Wang 001; Yan Huang 008; Liang Wang 001; Tieniu Tan; Erjin Zhou (CVPR, 2021)

TokenPose: Learning Keypoint Tokens for Human Pose Estimation. - Yanjie Li; Shoukui Zhang; Zhicheng Wang 001; Sen Yang; Wankou Yang; Shu-Tao Xia; Erjin Zhou (ICCV, 2021)

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations. - Zhengxiong Luo 001; Zhicheng Wang 001; Yuanhao Cai; Guan'an Wang; Liang Wang 001; Yan Huang 008; Erjin Zhou; Tieniu Tan; Jian Sun 001 (ICME, 2021)

V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection. - Mingyang Shang; Dawei Xiang; Zhicheng Wang 001; Erjin Zhou (CoRR, 2021)

Graph-MLP: Node Classification without Message Passing in Graph. - Yang Hu; Haoxuan You; Zhecan Wang; Zhicheng Wang 001; Erjin Zhou; Yue Gao 002 (CoRR, 2021)

Is 2D Heatmap Representation Even Necessary for Human Pose Estimation? - Yanjie Li; Sen Yang; Shoukui Zhang; Zhicheng Wang 001; Wankou Yang; Shu-Tao Xia; Erjin Zhou (CoRR, 2021)

Adaptive Dilated Convolution For Human Pose Estimation. - Zhengxiong Luo 001; Zhicheng Wang 001; Yan Huang 008; Liang Wang 001; Tieniu Tan; Erjin Zhou (CoRR, 2021)

Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads. - Xiaohu Jiang; Ze Chen; Zhicheng Wang 001; Erjin Zhou; Chun Yuan (CoRR, 2021)

Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association. - Sen Yang; Zhicheng Wang 001; Ze Chen; Yanjie Li; Shoukui Zhang; Zhibin Quan; Shu-Tao Xia; Yiping Bao; Erjin Zhou; Wankou Yang (CoRR, 2021)

W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection. - Zitong Huang; Yiping Bao; Bowen Dong; Erjin Zhou; Wangmeng Zuo (ECCV (30), 2022)

Prototypical Contrastive Language Image Pretraining. - Delong Chen; Zhao Wu; Fan Liu 003; Zaiquan Yang; Yixiang Huang; Yiping Bao; Erjin Zhou (CoRR, 2022)

Class Balance Matters to Active Class-Incremental Learning. - Zitong Huang; Ze Chen; Yuanze Li; Bowen Dong; Erjin Zhou; Yong Liu 026; Rick Siow Mong Goh; Chun-Mei Feng 001; Wangmeng Zuo (ACM Multimedia, 2024)

Learning Prompt with Distribution-Based Feature Replay for Few-Shot Class-Incremental Learning. - Zitong Huang; Ze Chen; Zhixing Chen; Erjin Zhou; Xinxing Xu; Rick Siow Mong Goh; Yong Liu 026; Chun-Mei Feng 001; Wangmeng Zuo (CoRR, 2024)

IMWA: Iterative Model Weight Averaging Benefits Class-Imbalanced Learning Tasks. - Zitong Huang; Ze Chen; Bowen Dong; Chaoqi Liang; Erjin Zhou; Wangmeng Zuo (CoRR, 2024)

IMWA: Iterative Model Weight Averaging benefits class-imbalanced learning. - Zitong Huang; Ze Chen; Bowen Dong; Chaoqi Liang; Erjin Zhou; Wangmeng Zuo (Pattern Recognit., 2025)

ProtoCLIP: Prototypical Contrastive Language Image Pretraining. - Delong Chen; Zhao Wu; Fan Liu 003; Zaiquan Yang; Shaoqiu Zheng; Ying Tan 002; Erjin Zhou (IEEE Trans. Neural Networks Learn. Syst., 2025)