| 2025 | ICASSP | Learning Semantic Facial Descriptors for Accurate Face Animation. | Lei Zhu, Yuanqi Chen, Xiaohang Liu, Thomas H. Li, Ge Li |
| 2024 | CVPR | BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning. | Ruyang Liu, Chen Li, Yixiao Ge, Thomas H. Li, Ying Shan, Ge Li |
| 2024 | ICASSP | ScanPCGC: Learning-Based Lossless Point Cloud Geometry Compression using Sequential Slice Representation. | Jiangwei Deng, Yuhao An, Thomas H. Li, Shan Liu, Ge Li |
| 2023 | CVPR | Revisiting Temporal Modeling for CLIP-Based Image-to-Video Knowledge Transferring. | Ruyang Liu, Jingjia Huang, Ge Li, Jiashi Feng, Xinglong Wu, Thomas H. Li |
| 2023 | CVPR | Hard Sample Matters a Lot in Zero-Shot Quantization. | Huantong Li, Xiangmiao Wu, Fanbing Lv, Daihai Liao, Thomas H. Li, Yonggang Zhang, Bo Han, Mingkui Tan |
| 2023 | CVPR | CAT: LoCalization and IdentificAtion Cascade Detection Transformer for Open-World Object Detection. | Shuailei Ma, Yuefeng Wang, Ying Wei, Jiaqi Fan, Thomas H. Li, Hongli Liu, Fanbing Lv |
| 2023 | CVPR | Masked Motion Encoding for Self-Supervised Video Representation Learning. | Xinyu Sun, Peihao Chen, Liangwei Chen, Changhao Li, Thomas H. Li, Mingkui Tan, Chuang Gan |
| 2023 | CVPR | Improving Graph Representation for Point Cloud Segmentation via Attentive Filtering. | Nan Zhang, Zhiyi Pan, Thomas H. Li, Wei Gao, Ge Li |
| 2023 | ICCV | Learning Vision-and-Language Navigation from YouTube Videos. | Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan |
| 2023 | ICLR | Causality Compensated Attention for Contextual Biased Visual Recognition. | Ruyang Liu, Jingjia Huang, Thomas H. Li, Ge Li |
| 2023 | IROS | LIO-PPF: Fast LiDAR-Inertial Odometry via Incremental Plane Pre-Fitting and Skeleton Tracking. | Xingyu Chen, Peixi Wu, Ge Li, Thomas H. Li |
| 2023 | WACV | Frequency-Aware Self-Supervised Monocular Depth Estimation. | Xingyu Chen, Thomas H. Li, Ruonan Zhang, Ge Li |
| 2023 | WACV | Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem. | Xingyu Chen, Ruonan Zhang, Ji Jiang, Yan Wang, Ge Li, Thomas H. Li |
| 2022 | CVPR | Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. | Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li |
| 2022 | ICASSP | Attention Guided Invariance Selection for Local Feature Descriptors. | Jiapeng Li, Ge Li, Thomas H. Li |
| 2022 | ICIP | Pointivae: Invertible Variational Autoencoder Framework for 3D Point Cloud Generation. | Jingyi Chen, Ge Li, Ruonan Zhang, Thomas H. Li, Wei Gao |
| 2022 | ICRA | DKNAS: A Practical Deep Keypoint Extraction Framework Based on Neural Architecture Search. | Li Liu, Xing Cai, Ge Li, Thomas H. Li |
| 2022 | UIC | Geometric-Aware Calibration Mechanism for Self-Supervised Depth Estimation. | Yan Wang, Ge Li, Ruonan Zhang, Xingyu Chen, Thomas H. Li |
| 2021 | AAAI | SSD-GAN: Measuring the Realness in the Spatial and Spectral Domains. | Yuanqi Chen, Ge Li, Cece Jin, Shan Liu, Thomas H. Li |
| 2021 | ICASSP | ATVIO: Attention Guided Visual-Inertial Odometry. | Li Liu, Ge Li, Thomas H. Li |
| 2021 | ICCV | PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. | Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu |
| 2021 | ICCV | Structure-transformed Texture-enhanced Network for Person Image Synthesis. | Munan Xu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li |
| 2021 | ICIP | Rethinking Training Objective For Self-Supervised Monocular Depth Estimation: Semantic Cues To Rescue. | Keyao Li, Ge Li, Thomas H. Li |
| 2020 | ACCV | Over-Exposure Correction via Exposure and Scene Information Disentanglement. | Yuhui Cao, Yurui Ren, Thomas H. Li, Ge Li |
| 2020 | CVPR | Deep Image Spatial Transformation for Person Image Generation. | Yurui Ren, Xiaoming Yu, Junming Chen, Thomas H. Li, Ge Li |
| 2020 | ICASSP | Regression Before Classification for Temporal Action Detection. | Cece Jin, Tao Zhang, Weijie Kong, Thomas H. Li, Ge Li |
| 2020 | ICASSP | ROIMIX: Proposal-Fusion Among Multiple Images for Underwater Object Detection. | Wei-Hong Lin, Jia-Xing Zhong, Shan Liu, Thomas H. Li, Ge Li |
| 2020 | ICASSP | Pose Refinement: Bridging the Gap Between Unsupervised Learning and Geometric Methods for Visual Odometry. | Lanqing Zhang, Ge Li, Thomas H. Li |
| 2020 | ICTAI | Towards Loss Balance and Consistent Model in Self-supervised Monocular Depth Estimation. | Chengyuan Li, Lanqing Zhang, Xing Cai, Keyao Li, Ge Li, Thomas H. Li |
| 2019 | CVPR | Real Photographs Denoising With Noise Domain Adaptation and Attentive Generative Adversarial Network. | Kai Lin, Thomas H. Li, Shan Liu, Ge Li |
| 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 | ICASSP | Boundary Information Matters More: Accurate Temporal Action Detection with Temporal Boundary Network. | Tao Zhang, Shan Liu, Thomas H. Li, Ge Li |
| 2019 | ICCV | StructureFlow: Image Inpainting via Structure-Aware Appearance Flow. | Yurui Ren, Xiaoming Yu, Ruonan Zhang, Thomas H. Li, Shan Liu, Ge Li |
| 2019 | IJCAI | ARMIN: Towards a More Efficient and Light-weight Recurrent Memory Network. | Zhangheng Li, Jia-Xing Zhong, Jingjia Huang, Tao Zhang, Thomas H. Li, Ge Li |
| 2018 | ACCV | SingleGAN: Image-to-Image Translation by a Single-Generator Network Using Multiple Generative Adversarial Learning. | Xiaoming Yu, Xing Cai, Zhenqiang Ying, Thomas H. Li, Ge Li |
| 2018 | MMM | Deep Pedestrian Detection Using Contextual Information and Multi-level Features. | Weijie Kong, Nannan Li, Thomas H. Li, Ge Li |