Loading...
Fei Gao
About Me
Fei Gao
Fei Gao is currently an Xianghu Elite Professor at the Hangzhou Institute of Technology, Xidian University. He received his Ph.D. degree from Xidian University in 2015, and was a joint Ph.D. candidate at the University of Technology Sydney (UTS), Australia. His research focuses on computer vision, with over 50 publications in prestigious journals and conferences including IEEE TNNLS, TIP, CVPR, ICCV, ACM MM, and ICRA. He has led multiple research projects including the National Natural Science Foundation of China, and has received the First Prize of the Shaanxi Provincial Science and Technology Award and the Runner-up of the IEEE ICME’21 Best Demo Award.
30
Journal/Conference
Publications
Postgraduates
Ph.D. Students
Wenwang Han
2025- (Ph.D.)Yiji Feng
2025- (Ph.D.)Lanning Zhang
2025- (Ph.D.)Shuai Han
2025- (Ph.D.)Master's Students
Xinying Yang
2026-Yule Ling
2026-Siwei Du
2026-Jiayue Yan
2026-Chi Zhang
2026-Qiyang Zhou
2026-Dingwei Dou
2026-Hongxiang Liu
2026-Liqi Fan
2025-Yiyuan Yao
2025-Yiming Shi
2025-Xunhao Lin
2025-Xuanrong Feng
2025-Ziqi Bao
2025-Xinyu Wu
2025-Hanyu Xing
2024-Weichang Wang
2024-Yue Tang
2024-Yongjie Hu
2024-Jiangpeng Wang
2024-Selected Publications
2026
- [OOTD] Derui Zhang, Yiji Feng, Fei Gao*, Nannan Wang: One is Enough: Disentangled Style Transfer via One-to-One Token Distillation. ACM MM, 2026. [Code]
- [MAIST] Hanyu Xing, Fei Gao*, Xi Yang, Ziyun Li, Pengyu Chen, Nannan Wang: Imagine A Reference: MLLM-Augmented Versatile Image Stylization. ACM MM, 2026.
- [CPSP] Qian Xu, Xi Li, Fei Gao, Qiming Zhang, Mingjin Zhang: CPSP: Channel Polarization and Global-Budget Structured Pruning for Infrared Small Target Detection. ACM MM, 2026.
- [RidgeField-Net] Mingjin Zhang, Shuaipeng Fan, Fei Gao, Jie Guo, Yunsong Li: RidgeField-Net: Continuous Spatio-Temporal Tube Fields for Tiny UAV Detection in Event Streams. ACM MM, 2026.
- [ThermalDiffusion] Mingjin Zhang, FengQin Lu, Jingyuan Gao, Fei Gao, Qiming Zhang: ThermalDiffusion: Confidence-Aware Diffusion for Sparse-View Thermal Infrared Novel View Synthesis. ACM MM, 2026.
- [HiSAC] Jiangpeng Wang, Fei Gao*, Nannan Wang: Hierarchical Style Aggregation for Versatile Chinese Handwriting Generation. ECCV, 2026. [Code]
- [AdaNoise] Xi Yang, Haoyuan Shi, Fei Gao*, Nannan Wang: AdaNoise: Cycle-Consistent Image Translation with Domain-Adaptive Noise Perturbation. IEEE TCSVT, 36(8): 12213-12227, 2026. [Paper]
- [KPE] Ziyun Li, Huancheng Hu, Soon Hoe Lim, Xuyu Li, Fei Gao, Enmao Diao, Zezhen Ding, Michalis Vazirgiannis, Henrik Boström: A Kinetic Energy Perspective of Flow Matching. ICML (spotlight), 2026. [Paper]
- [PSMix] Xin Wei, Qin Yang, Hongji Zhao, Fei Gao, Mingrui Zhu, Nannan Wang, Xinbo Gao: PSMix: Robust Point Cloud Recognition through Spectral Domain Mixing. ICML, 2026. [Paper]
2025
- [S3OIL] Xi Yang, Haoyuan Shi, Ziyun Li, Maoying Qiao, Fei Gao*, Nannan Wang: S3OIL: Semi-Supervised SAR-to-Optical Image Translation via Multi-Scale and Cross-Set Matching. IEEE TIP, 34: 6641-6654, Oct. 2025. [Paper] [Code]
- [KAN Policy] Zikang Chen, Fei Gao, Ziya Yu, Peng Li: KAN Policy: Learning Efficient and Smooth Robotic Trajectories via Kolmogorov-Arnold Networks. IEEE RAL, 11164-11171, Sep. 2025. [Paper] [Code]
- [CADQ] Yongjie Hu, Yifan Jiang, Ziyun Li, Fei Gao*, Henrik Boström, Nannan Wang: CADQ: Attribute-Consistent Face Cartoonization with Cross-modal Aligned and Deformable Quantization. ACM MM, 10681-10689, Oct. 2025. [Code]
- [Q-Norm] Lanning Zhang, Ying Zhou, Fei Gao*, Ziyun Li, Maoying Qiao, Jinlan Xu, Nannan Wang*: Q-Norm: Robust Representation Learning via Quality-Adaptive Normalization. ICCV, 13901-13911, Oct. 2025.
- [SAIST] Mingjin Zhang, Xiaolong Li, Fei Gao, Jie Guo, Xinbo Gao, Jing Zhang: SAIST: Segment Any Infrared Small Target Model Guided by Contrastive Language-Image Pre-training. CVPR, 9549-9558, 2025.
- [QuARF] Fei Gao, Ying Zhou, Ziyun Li, Wenwang Han, Jiaqi Shi, Maoying Qiao, Jinlan Xu, Nannan Wang*: QuARF: Quality-Adaptive Receptive Fields for Degraded Image Perception. AAAI, 39(16): 16708-16716, 2025. [Paper] [Code]
- [S3D] Mingjin Zhang, Wenteng Shang, Fei Gao*, Qiming Zhang, FengQin Lu, Jing Zhang: Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation. AAAI, 39(10): 10013-10021, 2025.
- [MOCID] Mingjin Zhang, Yuanjun Ouyang, Fei Gao, Jie Guo, Qiming Zhang*, Jing Zhang: MOCID: Motion Context and Displacement Information Learning for Moving Infrared Small Target Detection. AAAI, 39(10): 10022-10030, 2025.
- [IRMamba] Mingjin Zhang, Xiaolong Li, Fei Gao, Jie Guo: IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target Detection. AAAI, 39(9): 10003-10011, 2025.
2024
- [AesMamba] Fei Gao, Yuhao Lin, Jiaqi Shi, Maoying Qiao, Nannan Wang*: AesMamba: Universal Image Aesthetic Assessment with State Space Models. ACM MM (Oral), 7444-7453, 2024. [Paper] [arXiv] [Code]
- [HMEG-SG] Yu Chen, Fei Gao*, Yanguang Zhang, Maoying Qiao, Nannan Wang*: Generating Handwritten Mathematical Expressions From Symbol Graphs: An End-to-End Pipeline. CVPR, 15675-15685, June 2024. [Paper] [Code]
- [MDVPose] Renshu Gu, Jiajun Zhu, Yixuan Si, Fei Gao, Jiamin Xu, Gang Xu: 3D Human Pose Estimation from Multiple Dynamic Views via Single-view Pretraining with Procrustes Alignment. ACM MM, 10363-10372, 2024.
- [Micro-Action] Fan Gong, Jialiang Chen, Jiajun Zhu, Qijian Bao, Fei Gao, Renshu Gu, Gang Xu: Micro-Action Recognition via Hierarchical Fusion and Inference (Micro-Action Recognition Challenge, Global 4th Place). ACM MM, 11327-11332, 2024.
- [HIDA] Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang: Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation. ICCV, 7237-7247, 2023. [Paper] [Code]
- [HIRCA] Fei Gao, Lingna Dai, Jingjie Zhu, Mei Du, Yiyuan Zhang, Maoying Qiao, Chenghao Xia, Nannan Wang, Peng Li*: Human-Robot Interactive Creation of Artistic Portrait Drawings. ICRA, 11297-11304, May 2024. [Paper] [Code]