Xianzheng Ma(马宪政)
I am a full-time researcher at Shanghai AI Lab, under the supervision of Prof. Chao Dong. I obtained my Bachelor's and Master's degrees from Wuhan University in 2018 and 2021. My research interests include computer vision and robotics, especially developing interpretable and robust algorithms for autonomous driving. I also work closely with Yinqiang Zheng and Dengxin Dai.
Research
Decorate the Newcomers: Visual Domain Prompt for Continual Test Time Adaptation
Yulu Gan Xianzheng Ma Yan Bai Yihang Lou Renrui Zhang Nian Shi Lin Luo
AAAI Conference on Artificial Intelligence (AAAI) 2023 Outstanding Student Paper
paper | arxiv | project page | code | bibtex
We offer an alternative and new solution for continual test-time adapation by learning visual domain prompt.
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding
Xianzheng Ma Zhixiang Wang Yacheng Zhan Yinqiang Zheng Zheng Wang Dengxin Dai Chia-Wen Lin
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 Oral
paper | arxiv | project page | code | bibtex
We alleviate the domain gap caused by mixed fog influence and style variation without labels.
REMOTE: Reinforced Motion Transformation Network for Semi-supervised 2D Pose Estimation in Videos
Xianzheng Ma Hossein Rahmani Zhipeng Fan Bin Yang Jun Chen Jun Liu
AAAI Conference on Artificial Intelligence (AAAI) 2022
We offer an reinforcement learning based method to ultilize the temporal information in videos to train a robust pose estimator.
Rainy WCity: A Real Rainfall Dataset with Diverse Conditions for Semantic Driving Scene Understanding
Xian Zhong* Xianzheng Ma* Shidong Tu Kui Jiang Wenxin Huang Zheng Wang (* means equal contribution)
International Joint Conference on Artificial Intelligence (IJCAI) 2022
We propose a real-world rainy driving dataset for semantic segmentation and devise an unsupervised joint optimization framework based on contrastive learning.