I am an Associate Professor at the School of Intelligence Science and Technology, Nanjing University. My research is currently on visual understanding in an open world, transfer learning, data synthesis and anomaly detection. Previously, I was a senior researcher (T11) in Tencent AI Lab from 2021 to 2023, and a research scientist in Inception Institute of Artificial Intelligence (IIAI) from 2018 to 2021, where I worked with Prof. Shengcai Liao. I was a research fellow in National University of Singapore (NUS) from 2015 to 2017, co-supervised by Prof. Jiashi Feng and Prof. Shuicheng Yan. I received my Ph.D. degree from Institute of Automation, Chinese Academy of Sciences (CASIA) under the supervision of Prof. Liang Wang.
News
- 每年可招收博士生2名、硕士生3-4名，欢迎感兴趣的同学申请与报考!
Selected Papers
- H. Rao, Z. Wang, C. Si, Y. Lyu, Y. Duan, F. Zhao*, C. Shan*. One-to-More: High-Fidelity Training-Free Anomaly Generation with Attention Control. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. (*共同通讯)
- X. Xu, H. Wang, G. Xie, C. Shan, F. Zhao. HiTeA: Hierarchical Temporal Alignment for Training-Free Long-Video Temporal Grounding. International Conference on Learning Representations (ICLR), 2026.
- C. Zhang, Y. Lin, Y. Wei, H. Wang, C. Shan, F. Zhao. Matting Anything 2: Towards Video Matting for Anything. International Conference on Learning Representations (ICLR), 2026.
- Y. Duan, W. Xu, Q. Wu, G. Xie, F. Zhao*, C. Shan*. AnomalyControl: Highly-Aligned Anomalous Image Generation with Controlled Diffusion Model. ACM International Conference on Multimedia (ACM MM), 2025. (*共同通讯)
- H. Wang*, W. Weng, J. Wang, F. Zhao*, G. Xie, X. Geng, L. Wang. Foundation model for skeleton-based human action understanding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025. (*共同通讯)
- F. Zhao, Z. Li, S. Huang, J. Weng, T. Zhou, G. Xie, J. Wang, Y. Shan. Learning anchor transformations for 3d garment animation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
- W. Wang, F. Zhao, S. Liao, L. Shao. Attentive waveblock: complementarity-enhanced mutual networks for unsupervised domain adaptation in person re-identification and beyond. IEEE Transactions on Image Processing (TIP), 2022.
- F. Zhao, W. Wang, S. Liao, L. Shao. Learning anchored unsigned distance functions with gradient direction alignment for single-view garment reconstruction. IEEE International Conference on Computer Vision (ICCV), 2021. (Oral)
- F. Zhao, S. Liao, K. Zhang, L. Shao. Human parsing based texture transfer from single image to 3D human via cross-view consistency. Advances in Neural Information Processing Systems (NeurIPS), 2020.
- F. Zhao, S. Liao, G. Xie, J. Zhao, K. Zhang, L. Shao. Unsupervised domain adaptation with noise resistible mutual-training for person re-identification. European Conference on Computer Vision (ECCV), 2020.
- F. Zhao, J. Li, J. Zhao, J. Feng. Weakly supervised phrase localization with multi-scale anchored transformer network. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
- F. Zhao*, J. Zhao*, S. Yan, J. Feng. Dynamic conditional networks for few-shot learning. European Conference on Computer Vision (ECCV), 2018. (*共同一作)
- F. Zhao, J. Feng, J. Zhao, W. Yang, S. Yan. Robust LSTM-autoencoders for face de-occlusion in the wild. IEEE Transactions on Image Processing (TIP), 2018.
- F. Zhao, Y. Huang, L. Wang, T. Xiang, T. Tan. Learning relevance restricted Boltzmann machine for unstructured group activity and event understanding. International Journal of Computer Vision (IJCV), 2016.
- F. Zhao, Y. Huang, L. Wang, T. Tan. Deep semantic ranking based hashing for multi-label image retrieval. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015. (Google Scholar Citation 700+)
- F. Zhao, Y. Huang, L. Wang, T. Tan. Relevance topic model for unstructured social group activity recognition. Advances in Neural Information Processing Systems (NeurIPS), 2013.
- For more papers, please kindly refer to my Google Scholar page.