Changxin Gao (高常鑫) cgao@hust.edu.cn

Currently I am an Associate Professor with the School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, China. I received the B.S. degree and the Ph.D. degree both from Huazhong University of Science and Technology in 2005 and 2010. My Ph.D. supervisor is Prof. Nong Sang. From 2012 to 2013, I was a postdoctoral researcher in ICTEAM at Université Catholique de Louvain with Prof. Benoit Macq. My research interest includes computer vision, specifically on object detection, object tracking, image and video semantic understanding.

News

2020-09: The code of PI-ReID (ECCV2020) is available in GitHub.

2020-07: Three papers are accepted to ECCV2020.

2020-06: We won two 1st places of both the ActivityNet and the HACS Temporal Action Localization tasks in the ActivityNet Challenge 2020. [report] [report]

2020-02: One paper is accepted to TIP.

2020-02: Three papers are accepted to CVPR2020.

2019-11: One paper is accepted to AAAI2020.

2019-09: One paper is accepted to TIP.

2019-07: One paper is accepted to ICCV2019.

Selected recent publications

Context Prior for Scene Segmentation

Changqian Yu, Jingbo Wang, Changxin Gao, Gang Yu, Chunhua Shen, Nong Sang

CVPR, 2020

[paper]

Domain Adaptation for Image Dehazing

Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang

CVPR, 2020

[paper] [code]

FGN: Fully Guided Network for Few-Shot Instance Segmentation

Zhibo Fan, Zhihao Liang, Jin-Gang Yu, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li

CVPR, 2020

[paper]

Dynamic Scene Deblurring by Depth Guided Model,

Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang

IEEE TIP, 2020

[paper]

Complementation-Reinforced Attention Network for Person Re-Identification

Chuchu Han, Ruochen Zheng, Changxin Gao, and Nong Sang

IEEE TCSVT, accepted

[paper]

GLNet: Global Local Network for Weakly Supervised Action Localization

Shiwei Zhang, Lin Song, Changxin Gao, Nong Sang

IEEE TMM, accepted

[paper]

GTNet: Generative Transfer Network for Zero-Shot Object Detection

Shizhen Zhao, Changxin Gao, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang

AAAI, 2020

[paper]

Semi-supervised Image Dehazing

Lerenhan Li, Yulong Dong, Wenqi Ren, Jinshan Pan, Changxin Gao, Nong Sang, Ming-Hsuan Yang

IEEE TIP, 2020

[paper]

Re-ID Driven Localization Refinement for Person Search

Chuchu Han, Jiacheng Ye, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao, Nong Sang

ICCV 2019

[paper]

Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis

Jin-Gang Yu, Yansheng Li, Changxin Gao, Hongxia Gao, Gui-Song Xia, Zhu Liang Yu and Yuanqing Li

IEEE TIP, 2020

[paper]

Blind Image Deblurring via Deep Discriminative Priors

Lerenhan Li, Jinshan Pan, Wei-sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang

IJCV, 2019

[paper] [project] [code]

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang

ECCV, 2018

[paper] [code] 68.4% Mean IOU, 105FPS on Cityscapes test dataset

Learning a Discriminative Feature Network for Semantic Segmentation

Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao, Gang Yu, Nong Sang

CVPR, 2018.

[paper] [code]

Learning a Discriminative Prior for Blind Image Deblurring

Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang

CVPR, 2018.

[paper] [project]

Spatial and Class Structure Regularized Sparse Representation Graph for Semi-Supervised Hyperspectral Image Classification

Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma

Pattern Recognition, 2018

[paper]

Discriminative Part Selection For Human Action Recognition

Shiwei Zhang, Changxin Gao, Jing Zhang, Feifei Chen, and Nong Sang

IEEE Transactions on Multimedia, 2018

[paper]

Equidistance Constrained Metric Learning for Person Re-identification

Jin Wang, Zheng Wang, Chao Liang, Changxin Gao, Nong Sang

Pattern Recognition, 2018

[paper] [code]

Funds

  • Feature Representation and Metric Learning for Video-based Person Re-identification, NSF of China, 2019.1-2022.12

  • Spatio-temporal Attention based Deep Network for Person Re-identification, NSF of Hubei, 2018.1--2019.12

  • Combining Top-down and Bottom-up Processing for Scene Parsing, NSF of China, 2015.1--2017.12