Xinhua Cheng   程鑫华

School of Electronic and Computer Engineering
Peking University
Shenzhen, China


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Xinhua Cheng is a master student of computer applications technology at Peking University, advised by Prof. Jian Zhang. He got a B.E. degree of computer science at Sichuan University. His research interests include computer vision, deep learning and person re-ID.



A Simple Visual-Textual Baseline for Pedestrian Attribute Recognition
Xinhua Cheng*, Mengxi Jia*, Qian Wang, Jian Zhang (* indicates equal contribution)
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2022.
Learning Disentangled Representation Implicitly via Transformer for Occluded Person Re-Identification
Mengxi Jia*, Xinhua Cheng*, Shijian Lu, Jian Zhang (* indicates equal contribution)
IEEE Transactions on Multimedia (TMM), 2022.
Matching on Sets: Conquer Occluded Person Re-identification Without Alignment
Mengxi Jia, Xinhua Cheng, Yunpeng Zhai, Shijian Lu, Siwei Ma, Yonghong Tian, Jian Zhang
AAAI Conference on Artificial Intelligence (AAAI), 2021.
Detection Features as Attention (DeFAt): A Keypoint-free Approach to Amur Tiger Re-Identification
Xinhua Cheng, Jianing Zhu, Nan Zhang, Qian Wang, Qijun Zhao
International Conference on Image Processing (ICIP), 2020.
Pose-Guided Complementary Features Learning for Amur Tiger Re-Identification
Ning Liu, Qijun Zhao, Nan Zhang, Xinhua Cheng, Jianing Zhu
International Conference on Computer Vision Workshops (ICCVW), 2019.
[Paper] [Code]