Shuhong Zheng*, Zhipeng Bao*, Martial Hebert, and Yu-Xiong Wang. Multi-task View Synthesis with Neural Radiance Fields. ICCV 2023.[pdf]

Zhipeng Bao, Pavel Tokmakov, Yu-Xiong Wang, Adrien Gaidon, and Martial Hebert. Object Discovery from Motion-Guided Tokens. CVPR 2023.[pdf]

Mingtong Zhang*, Shuhong Zheng*, Zhipeng Bao, Martial Hebert, and Yu-Xiong Wang. Beyond RGB: Scene-property Synthesis with Neural Radiance Fields. WACV 2023.[pdf]

Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, and Martial Hebert. Discovering Objects that Can Move. CVPR 2022.[pdf]

Zhipeng Bao, Martial Hebert, and Yu-Xiong Wang. Generative Modeling for Multi-Task Visual Learning. ICML 2022.[pdf]

Zhipeng Bao, Yuxiong Wang and Martial Hebert. Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. ICLR 2021.[pdf]

Zhipeng Bao, Shaodi You, Gu Lin and Zhenglu Yang. Single-Image Facial Expression Recognition Using Deep 3D Re-Centralization. ICCV 2019 Workshops.[pdf]

Renmin Han, Zhipeng Bao, Xiangrui Zeng, Tongxin Niu, Fa Zhang, Min Xu and Xin Gao. A joint method for marker-free alignment of tilt series in electron tomography. ISMB 2019. [pdf]

Ziqian Luo, Xiangrui Zeng, Zhipeng Bao and Min Xu. Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. IJCNN 2019.[pdf]