| 2025 | CVPR | Enhancing Virtual Try-On with Synthetic Pairs and Error-Aware Noise Scheduling. | Nannan Li, Kevin J. Shih, Bryan A. Plummer |
| 2025 | IJCNN | 3D-Telepathy: Reconstructing 3D Objects from EEG Signals. | Yuxiang Ge, Jionghao Cheng, Ruiquan Ge, Zhaojie Fang, Gangyong Jia, Xiang Wan, Nannan Li, Ahmed Elazab, Changmiao Wang |
| 2025 | INDIN | SAE-Diffu: A Controllable Data Enhancement Method for Semiconductor Chip Defect Images. | Fuqin Deng, Qiqing Dong, Junhan Pu, Lanhui Fu, Qingshan Xia, Zhi Xu, Nannan Li, Min Zhao |
| 2025 | INDIN | Multi Focus Image Fusion Network Based On Focus Attention And Dual Feature Adaptation. | Fuqin Deng, ZhengHong He, Lanhui Fu, Qingshan Xia, Zhi Xu, Nannan Li, ZhenBo Ren, Ping Su |
| 2025 | INDIN | Fabric-DETR: An Efficient Transformer Network for Multi-Scale Fabric Defect Detection in Complex Environments. | Fuqin Deng, Qingshan Xia, Lanhui Fu, Yingzhu Wu, Nannan Li, Ningbo Yi, Guangming You, Zhi Xu |
| 2025 | INDIN | Segment Anything in Industrial defect detection. | Fuqin Deng, Zhi Xu, Lanhui Fu, Min Zhao, Nannan Li, Song Lu, Hufei Zhu, Qingshan Xia |
| 2024 | CVPR | UniHuman: A Unified Model For Editing Human Images in the Wild. | Nannan Li, Qing Liu, Krishna Kumar Singh, Yilin Wang, Jianming Zhang, Bryan A. Plummer, Zhe Lin |
| 2024 | ECCV | PanoFree: Tuning-Free Holistic Multi-view Image Generation with Cross-View Self-guidance. | Aoming Liu, Zhong Li, Zhang Chen, Nannan Li, Yi Xu, Bryan A. Plummer |
| 2024 | ICPR | Make an Image Move: Few-Shot Based Video Generation Guided by CLIP. | Yonglong Huang, Cheng Yu, Nannan Li, Fuqin Deng, Ruiquan Ge, Changmiao Wang |
| 2023 | ICCV | Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. | Nannan Li, Kevin J. Shih, Bryan A. Plummer |
| 2023 | IJCNN | Dense Attention: A Densely Connected Attention Mechanism for Vision Transformer. | Nannan Li, Yaran Chen, Dongbin Zhao |
| 2022 | ECCV | Supervised Attribute Information Removal and Reconstruction for Image Manipulation. | Nannan Li, Bryan A. Plummer |
| 2022 | ICML | A Unified Weight Initialization Paradigm for Tensorial Convolutional Neural Networks. | Yu Pan, Zeyong Su, Ao Liu, Jingquan Wang, Nannan Li, Zenglin Xu |
| 2021 | ISCAS | A 1 | Hanrui Zhang, Nannan Li, Zihao Jiao, Jie Zhang, Xiaofei Wang, Hong Zhang |
| 2020 | IJCNN | Shift-Invariant Convolutional Network Search. | Nannan Li, Yaran Chen, Zixiang Ding, Dongbin Zhao |
| 2019 | AAAI | Meta Learning for Image Captioning. | Nannan Li, Zhenzhong Chen, Shan Liu |
| 2019 | CVPR | Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. | Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | ICASSP | BLP - Boundary Likelihood Pinpointing Networks for Accurate Temporal Action Localization. | Weijie Kong, Nannan Li, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | ICCV | AttPool: Towards Hierarchical Feature Representation in Graph Convolutional Networks via Attention Mechanism. | Jingjia Huang, Zhangheng Li, Nannan Li, Shan Liu, Ge Li |
| 2018 | AAAI | SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning. | Jingjia Huang, Nannan Li, Tao Zhang, Ge Li, Tiejun Huang, Wen Gao |
| 2018 | ICIP | An Active Action Proposal Method Based on Reinforcement Learning. | Tao Zhang, Nannan Li, Jingjia Huang, Jia-Xing Zhong, Ge Li |
| 2018 | IJCAI | Image Cationing with Visual-Semantic LSTM. | Nannan Li, Zhenzhong Chen |
| 2018 | MMM | Deep Pedestrian Detection Using Contextual Information and Multi-level Features. | Weijie Kong, Nannan Li, Thomas H. Li, Ge Li |
| 2017 | CAIP | A Violence Detection Approach Based on Spatio-temporal Hypergraph Transition. | Jingjia Huang, Ge Li, Nannan Li, Ronggang Wang, Wenmin Wang |
| 2017 | ICIP | Fast action localization based on spatio-temporal path search. | Qingtian Wu, Huiwen Guo, Xinyu Wu, Yimin Zhou, Nannan Li |
| 2017 | ICONIP | Deep Metric Learning with False Positive Probability - Trade Off Hard Levels in a Weighted Way. | Jia-Xing Zhong, Ge Li, Nannan Li |
| 2016 | ACCV | Searching Action Proposals via Spatial Actionness Estimation and Temporal Path Inference and Tracking. | Nannan Li, Dan Xu, Zhenqiang Ying, Zhihao Li, Ge Li |
| 2016 | ICIP | Tube ConvNets: Better exploiting motion for action recognition. | Zhihao Li, Wenmin Wang, Nannan Li, Jinzhuo Wang |
| 2014 | ICIP | Multi-scale analysis of contextual information within spatio-temporal video volumes for anomaly detection. | Nannan Li, Huiwen Guo, Dan Xu, Xinyu Wu |
| 2013 | ICIP | Hierarchical activity discovery within spatio-temporal context for video anomaly detection. | Dan Xu, Xinyu Wu, Dezhen Song, Nannan Li, Yen-Lun Chen |