Quan, Dou

8 publications

ICLR 2026 Learning What Matters Now: Dynamic Preference Inference Under Contextual Shifts Xianwei Cao, Dou Quan, Zhenliang Zhang, Shuang Wang

CVPR 2025 Feature Spectrum Learning for Remote Sensing Change Detection Qi Zang, Dong Zhao, Shuang Wang, Dou Quan, Zhun Zhong

IJCAI 2025 Predicting Spectral Information for Self-Supervised Signal Classification Yi Xu, Shuang Wang, Hantong Xing, Chenxu Wang, Dou Quan, Rui Yang, Dong Zhao, Luyang Mei

ECCV 2024 Watching It in Dark: A Target-Aware Representation Learning Framework for High-Level Vision Tasks in Low Illumination Yunan Li, Yihao Zhang, Shoude Li, Long Tian, Dou Quan, Chaoneng Li, Qiguang Miao

ICCV 2023 Learning Pseudo-Relations for Cross-Domain Semantic Segmentation Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Rui Yang, Licheng Jiao

CVPR 2023 Towards Better Stability and Adaptability: Improve Online Self-Training for Model Adaptation in Semantic Segmentation Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Licheng Jiao

ICCV 2019 AFD-Net: Aggregated Feature Difference Learning for Cross-Spectral Image Patch Matching Dou Quan, Xuefeng Liang, Shuang Wang, Shaowei Wei, Yanfeng Li, Ning Huyan, Licheng Jiao

ICCV 2019 Better and Faster: Exponential Loss for Image Patch Matching Shuang Wang, Yanfeng Li, Xuefeng Liang, Dou Quan, Bowu Yang, Shaowei Wei, Licheng Jiao