| 2025 | ICCV | ReferevErything: Towards Segmenting Everything we can Speak of in Videos. | Anurag Bagchi, Zhipeng Bao, Yu-Xiong Wang, Pavel Tokmakov, Martial Hebert |
| 2025 | ICLR | Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models. | Shuhong Zheng, Zhipeng Bao, Ruoyu Zhao, Martial Hebert, Yu-Xiong Wang |
| 2024 | SIGGRAPH | Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. | Zhipeng Bao, Yijun Li, Krishna Kumar Singh, Yu-Xiong Wang, Martial Hebert |
| 2023 | CVPR | Object Discovery from Motion-Guided Tokens. | Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert |
| 2023 | ICCV | Multi-task View Synthesis with Neural Radiance Fields. | Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang |
| 2023 | ICPADS | Glow Model-Based Latent Vector Optimization for Generative Image Steganography in Edge and Cloud Computing Environment. | Zhipeng Bao, Zhili Zhou, Xutong Cui, Weixuan Tang, Chengsheng Yuan |
| 2023 | WACV | Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. | Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang |
| 2022 | CVPR | Discovering Objects that Can Move. | Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert |
| 2022 | ICML | Generative Modeling for Multi-task Visual Learning. | Zhipeng Bao, Martial Hebert, Yu-Xiong Wang |
| 2021 | ICLR | Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. | Zhipeng Bao, Yu-Xiong Wang, Martial Hebert |
| 2019 | IJCNN | Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. | Ziqian Luo, Xiangrui Zeng, Zhipeng Bao, Min Xu |