Liao, Qingmin

22 publications

AAAI 2025 DM-Adapter: Domain-Aware Mixture-of-Adapters for Text-Based Person Retrieval Yating Liu, Zimo Liu, Xiangyuan Lan, Wenming Yang, Yaowei Li, Qingmin Liao

WACV 2025 Elucidating the Solution Space of Extended Reverse-Time SDE for Diffusion Models Qinpeng Cui, Xinyi Zhang, Qiqi Bao, Qingmin Liao

NeurIPS 2025 LLM-Explorer: A Plug-in Reinforcement Learning Policy Exploration Enhancement Driven by Large Language Models Qianyue Hao, Yiwen Song, Qingmin Liao, Jian Yuan, Yong Li

ICML 2025 Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network Jijia Liu, Feng Gao, Qingmin Liao, Chao Yu, Yu Wang

AAAI 2025 Pose Magic: Efficient and Temporally Consistent Human Pose Estimation with a Hybrid Mamba-GCN Network Xinyi Zhang, Qiqi Bao, Qinpeng Cui, Wenming Yang, Qingmin Liao

ICLR 2025 Predicting the Energy Landscape of Stochastic Dynamical System via Physics-Informed Self-Supervised Learning Ruikun Li, Huandong Wang, Qingmin Liao, Yong Li

NeurIPS 2025 What Can RL Bring to VLA Generalization? an Empirical Study Jijia Liu, Feng Gao, Bingwen Wei, Xinlei Chen, Qingmin Liao, Yi Wu, Chao Yu, Yu Wang

NeurIPS 2024 AdaPKC: PeakConv with Adaptive Peak Receptive Field for Radar Semantic Segmentation Teng Li, Liwen Zhang, Youcheng Zhang, Zijun Hu, Pengcheng Pi, Zongqing Lu, Qingmin Liao, Zhe Ma

ECCV 2024 IRGen: Generative Modeling for Image Retrieval Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo

IJCAI 2024 Long-Term Detection and Monitory of Chinese Urban Village Using Satellite Imagery Yuming Lin, Xin Zhang, Yu Liu, Zhenyu Han, Qingmin Liao, Yong Li

CVPRW 2024 PMAFusion: Projection-Based Multi-Modal Alignment for 3D Semantic Occupancy Prediction Shiyao Li, Wenming Yang, Qingmin Liao

IJCAI 2024 Reschedule Diffusion-Based Bokeh Rendering Shiyue Yan, Xiaoshi Qiu, Qingmin Liao, Jing-Hao Xue, Shaojun Liu

CVPRW 2024 Semi-Stereo: A Universal Stereo Matching Framework for Imperfect Data via Semi-Supervised Learning Xin Yue, Zongqing Lu, Xiangru Lin, Wenjia Ren, Zhijing Shao, Haonan Hu, Yu Zhang, Qingmin Liao

NeurIPS 2024 Taming Diffusion Prior for Image Super-Resolution with Domain Shift SDEs Qinpeng Cui, Yixuan Liu, Xinyi Zhang, Qiqi Bao, Qingmin Liao, Li Wang, Tian Lu, Zicheng Liu, Zhongdao Wang, Emad Barsoum

AAAI 2024 UV-SAM: Adapting Segment Anything Model for Urban Village Identification Xin Zhang, Yu Liu, Yuming Lin, Qingmin Liao, Yong Li

AAAI 2023 Dynamic Ensemble of Low-Fidelity Experts: Mitigating NAS "Cold-Start" Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang

AAAI 2022 Coarse-to-Fine Embedded PatchMatch and Multi-Scale Dynamic Aggregation for Reference-Based Super-Resolution Bin Xia, Yapeng Tian, Yucheng Hang, Wenming Yang, Qingmin Liao, Jie Zhou

AAAI 2022 Efficient Non-Local Contrastive Attention for Image Super-Resolution Bin Xia, Yucheng Hang, Yapeng Tian, Wenming Yang, Qingmin Liao, Jie Zhou

AAAI 2022 Pose-Invariant Face Recognition via Adaptive Angular Distillation Zhenduo Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Qingmin Liao

CVPR 2022 SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization Yucheng Hang, Bin Xia, Wenming Yang, Qingmin Liao

ICML 2021 Group Fisher Pruning for Practical Network Compression Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang

ICLR 2021 Towards Impartial Multi-Task Learning Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang