Liu, Xiaofeng

26 publications

CVPR 2025 Domain Adaptive Diabetic Retinopathy Grading with Model Absence and Flowing Data Wenxin Su, Song Tang, Xiaofeng Liu, Xiaojing Yi, Mao Ye, Chunxiao Zu, Jiahao Li, Xiatian Zhu

CVPRW 2025 FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning Xiaobing Yu, Jin Yang, Xiao Wu, Peijie Qiu, Xiaofeng Liu

CVPRW 2025 Mixture-of-Shape-Experts (MoSE): End-to-End Shape Dictionary Framework to Prompt SAM for Generalizable Medical Segmentation Jia Wei, Xiaoqi Zhao, Jonghye Woo, Jinsong Ouyang, Georges El Fakhri, Qingyu Chen, Xiaofeng Liu

ICLR 2025 Progressive Compositionality in Text-to-Image Generative Models Xu Han, Linghao Jin, Xiaofeng Liu, Paul Pu Liang

NeurIPS 2025 Rethinking Evaluation of Infrared Small Target Detection Youwei Pang, Xiaoqi Zhao, Lihe Zhang, Huchuan Lu, Georges El Fakhri, Xiaofeng Liu, Shijian Lu

IJCAI 2025 Towards Robust Deterministic and Probabilistic Modeling for Predictive Learning Xuesong Nie, Haoyuan Jin, Vijayakumar Bhagavatula, Xiaofeng Liu

NeurIPS 2025 UniMRSeg: Unified Modality-Relax Segmentation via Hierarchical Self-Supervised Compensation Xiaoqi Zhao, Youwei Pang, Chenyang Yu, Lihe Zhang, Huchuan Lu, Shijian Lu, Georges El Fakhri, Xiaofeng Liu

NeurIPS 2025 When and How Unlabeled Data Provably Improve In-Context Learning Yingcong Li, Xiangyu Chang, Muti Kara, Xiaofeng Liu, Amit Roy-Chowdhury, Samet Oymak

AAAI 2024 Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training Jianwu Li, Kaiyue Shi, Guo-Sen Xie, Xiaofeng Liu, Jian Zhang, Tianfei Zhou

CVPRW 2023 NTIRE 2023 Video Colorization Challenge Xiaoyang Kang, Xianhui Lin, Kai Zhang, Zheng Hui, Wangmeng Xiang, Jun-Yan He, Xiaoming Li, Peiran Ren, Xuansong Xie, Radu Timofte, Yixin Yang, Jinshan Pan, Zhong Zheng, Peng Qiyan, Jiangxin Zhang, Jinhui Dong, Jinjing Tan, Chi-Chen Lin, Lin Qipei Li, Qirong Liang, Ruipeng Gang, Xiaofeng Liu, Shuang Feng, Shuai Liu, Hao Wang, Chaoyu Feng, Furui Bai, Yuqian Zhang, Guangqi Shao, Xiaotao Wang, Lei Lei, Siqi Chen, Yu Zhang, Hanning Xu, Zheyuan Liu, Zhao Zhang, Yan Luo, Zhichao Zuo

CVPRW 2023 RTTLC: Video Colorization with Restored Transformer and Test-Time Local Converter Jinjing Li, Qirong Liang, Qipei Li, Ruipeng Gang, Ji Fang, Chi-Chen Lin, Shuang Feng, Xiaofeng Liu

ICCV 2021 Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

AAAI 2021 Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

IJCAI 2021 Domain Generalization Under Conditional and Label Shifts via Variational Bayesian Inference Xiaofeng Liu, Bo Hu, Linghao Jin, Xu Han, Fangxu Xing, Jinsong Ouyang, Jun Lu, Georges El Fakhri, Jonghye Woo

ICCV 2021 Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu

AAAI 2021 Subtype-Aware Unsupervised Domain Adaptation for Medical Diagnosis Xiaofeng Liu, Xiongchang Liu, Bo Hu, Wenxuan Ji, Fangxu Xing, Jun Lu, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo

ECCV 2020 AUTO3D: Novel View Synthesis Through Unsupervisely Learned Variational Viewpoint and Global 3D Representation Xiaofeng Liu, Tong Che, Yiqun Lu, Chao Yang, Site Li, Jane You

CVPRW 2020 Classification-Aware Semi-Supervised Domain Adaptation Gewen He, Xiaofeng Liu, Fangfang Fan, Jane You

CVPRW 2020 Image2Audio: Facilitating Semi-Supervised Audio Emotion Recognition with Facial Expression Image Gewen He, Xiaofeng Liu, Fangfang Fan, Jane You

AAAI 2020 Importance-Aware Semantic Segmentation in Self-Driving with Discrete Wasserstein Training Xiaofeng Liu, Yuzhuo Han, Song Bai, Yi Ge, Tianxing Wang, Xu Han, Site Li, Jane You, Jun Lu

CVPRW 2020 Wasserstein Loss Based Deep Object Detection Yuzhuo Han, Xiaofeng Liu, Zhenfei Sheng, Yutao Ren, Xu Han, Jane You, Risheng Liu, Zhongxuan Luo

ICCVW 2019 Unimodal-Uniform Constrained Wasserstein Training for Medical Diagnosis Xiaofeng Liu, Xu Han, Yukai Qiao, Yi Ge, Site Li, Jun Lu

ECCV 2018 Contextual-Based Image Inpainting: Infer, Match, and Translate Yuhang Song, Chao Yang, Zhe Lin, Xiaofeng Liu, Qin Huang, Hao Li, C.-C. Jay Kuo

ECCV 2018 Dependency-Aware Attention Control for Unconstrained Face Recognition with Image Sets Xiaofeng Liu, B.V.K Vijaya Kumar, Chao Yang, Qingming Tang, Jane You

ECCVW 2018 Ordinal Regression with Neuron Stick-Breaking for Medical Diagnosis Xiaofeng Liu, Yang Zou, Yuhang Song, Chao Yang, Jane You, B. V. K. Vijaya Kumar

CVPRW 2017 Adaptive Deep Metric Learning for Identity-Aware Facial Expression Recognition Xiaofeng Liu, B. V. K. Vijaya Kumar, Jane You, Ping Jia