Erjin Zhou

According to our database, Erjin Zhou authored at least 27 papers between 2013 and 2024.

Collaborative distances:

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

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, Chun-Mei Feng, Wangmeng Zuo

CoRR, 2024

2022

Prototypical Contrastive Language Image Pretraining.

Delong Chen, Zhao Wu, Fan Liu, Zaiquan Yang, Yixiang Huang, Yiping Bao, Erjin Zhou

CoRR, 2022

W2N: Switching from Weak Supervision to Noisy Supervision for Object Detection.

Zitong Huang, Yiping Bao, Bowen Dong, Erjin Zhou, Wangmeng Zuo

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Attend to Who You Are: Supervising Self-Attention for Keypoint Detection and Instance-Aware Association.

Sen Yang, Zhicheng Wang, Ze Chen, Yanjie Li, Shoukui Zhang, Zhibin Quan, Shu-Tao Xia, Yiping Bao, Erjin Zhou, Wankou Yang

CoRR, 2021

Guiding Query Position and Performing Similar Attention for Transformer-Based Detection Heads.

Xiaohu Jiang, Ze Chen, Zhicheng Wang, Erjin Zhou, Chun Yuan

CoRR, 2021

Adaptive Dilated Convolution For Human Pose Estimation.

Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou

CoRR, 2021

Is 2D Heatmap Representation Even Necessary for Human Pose Estimation?

Yanjie Li, Sen Yang, Shoukui Zhang, Zhicheng Wang, Wankou Yang, Shu-Tao Xia, Erjin Zhou

CoRR, 2021

Graph-MLP: Node Classification without Message Passing in Graph.

Yang Hu, Haoxuan You, Zhecan Wang, Zhicheng Wang, Erjin Zhou, Yue Gao

CoRR, 2021

V2F-Net: Explicit Decomposition of Occluded Pedestrian Detection.

Mingyang Shang, Dawei Xiang, Zhicheng Wang, Erjin Zhou

CoRR, 2021

Efficient Human Pose Estimation by Learning Deeply Aggregated Representations.

Zhengxiong Luo, Zhicheng Wang, Yuanhao Cai, Guan'an Wang, Liang Wang, Yan Huang, Erjin Zhou, Tieniu Tan, Jian Sun

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

TokenPose: Learning Keypoint Tokens for Human Pose Estimation.

Yanjie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation.

Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

General Instance Distillation for Object Detection.

Xing Dai, Zeren Jiang, Zhao Wu, Yiping Bao, Zhicheng Wang, Si Liu, Erjin Zhou

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation.

Zhengxiong Luo, Zhicheng Wang, Yan Huang, Tieniu Tan, Erjin Zhou

CoRR, 2020

Learning Delicate Local Representations for Multi-person Pose Estimation.

Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo, Binyi Yin, Angang Du, Haoqian Wang, Xiangyu Zhang, Xinyu Zhou, Erjin Zhou, Jian Sun

Proceedings of the Computer Vision - ECCV 2020, 2020

DPGN: Distribution Propagation Graph Network for Few-Shot Learning.

Ling Yang, Liangliang Li, Zilun Zhang, Xinyu Zhou, Erjin Zhou, Yu Liu

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

High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification.

Guan'an Wang, Shuo Yang, Huanyu Liu, Zhicheng Wang, Yang Yang, Shuliang Wang, Gang Yu, Erjin Zhou, Jian Sun

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

2018

GridFace: Face Rectification via Learning Local Homography Transformations.

Erjin Zhou, Zhimin Cao, Jian Sun

Proceedings of the Computer Vision - ECCV 2018, 2018

Symmetric Variational Autoencoder and Connections to Adversarial Learning.

Liqun Chen, Shuyang Dai, Yunchen Pu, Erjin Zhou, Chunyuan Li, Qinliang Su, Changyou Chen, Lawrence Carin

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2017

Delving Deep Into Coarse-to-Fine Framework for Facial Landmark Localization.

Xi Chen, Erjin Zhou, Yuchen Mo, Jiancheng Liu, Zhimin Cao

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

2016

Approaching human level facial landmark localization by deep learning.

Haoqiang Fan, Erjin Zhou

Image Vis. Comput., 2016

Going Deeper with Embedded FPGA Platform for Convolutional Neural Network.

Jiantao Qiu, Jie Wang, Song Yao, Kaiyuan Guo, Boxun Li, Erjin Zhou, Jincheng Yu, Tianqi Tang, Ningyi Xu, Sen Song, Yu Wang, Huazhong Yang

Proceedings of the 2016 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2016

2015

Naive-Deep Face Recognition: Touching the Limit of LFW Benchmark or Not?

Erjin Zhou, Zhimin Cao, Qi Yin

CoRR, 2015

Coarse-to-fine Face Alignment with Multi-Scale Local Patch Regression.

Zhiao Huang, Erjin Zhou, Zhimin Cao

CoRR, 2015

Learning Face Hallucination in the Wild.

Erjin Zhou, Haoqiang Fan, Zhimin Cao, Yuning Jiang, Qi Yin

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014

Large scale recurrent neural network on GPU.

Boxun Li, Erjin Zhou, Bo Huang, Jiayi Duan, Yu Wang, Ningyi Xu, Jiaxing Zhang, Huazhong Yang

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Extensive Facial Landmark Localization with Coarse-to-Fine Convolutional Network Cascade.

Erjin Zhou, Haoqiang Fan, Zhimin Cao, Yuning Jiang, Qi Yin

Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops, 2013