Single-Image Facial Expression Recognition Using Deep 3D Re-Centralization. - Zhipeng Bao; Shaodi You; Lin Gu 003; Zhenglu Yang (ICCV Workshops, 2019)

Deep Learning-Based Strategy For Macromolecules Classification with Imbalanced Data from Cellular Electron Cryotomography. - Ziqian Luo; Xiangrui Zeng; Zhipeng Bao; Min Xu 009 (IJCNN, 2019)

A joint method for marker-free alignment of tilt series in electron tomography. - Renmin Han; Zhipeng Bao; Xiangrui Zeng; Tongxin Niu; Fa Zhang 001; Min Xu 009; Xin Gao 001 (Bioinform., 2019)

Research and Design of a Nearly Non-Friction Pneumatic Jetting Dispenser with Air Floating Structure. - Zhipeng Bao; Guilin Deng; Can Zhou (AIAM, 2020)

Automatic Parking Trajectory Planning Based on Multi-objective Optimal Trajectory Decision Algorithm. - Zhipeng Bao; Shouyi Lu; Yongshuai Zhi; Sumin Zhang (CONF-CDS, 2021)

Target Detection Algorithm Based on MMW Radar and Camera Fusion. - Shouyi Lu; Zhipeng Bao; Yongshuai Zhi; Sumin Zhang (CONF-CDS, 2021)

Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis. - Zhipeng Bao; Yu-Xiong Wang; Martial Hebert (ICLR, 2021)

Semi-Direct Monocular SLAM With Three Levels of Parallel Optimizations. - Shouyi Lu; Yongshuai Zhi; Sumin Zhang; Rui He; Zhipeng Bao (IEEE Access, 2021)

Stereo Visual Odometry Pose Correction through Unsupervised Deep Learning. - Sumin Zhang; Shouyi Lu; Rui He; Zhipeng Bao (Sensors, 2021)

Discovering Objects that Can Move. - Zhipeng Bao; Pavel Tokmakov; Allan Jabri; Yu-Xiong Wang; Adrien Gaidon; Martial Hebert (CVPR, 2022)

Generative Modeling for Multi-task Visual Learning. - Zhipeng Bao; Martial Hebert; Yu-Xiong Wang (ICML, 2022)

Object Discovery from Motion-Guided Tokens. - Zhipeng Bao; Pavel Tokmakov; Yu-Xiong Wang; Adrien Gaidon; Martial Hebert (CVPR, 2023)

Multi-task View Synthesis with Neural Radiance Fields. - Shuhong Zheng; Zhipeng Bao; Martial Hebert; Yu-Xiong Wang (ICCV, 2023)

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 (ICPADS, 2023)

Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. - Mingtong Zhang; Shuhong Zheng; Zhipeng Bao; Martial Hebert; Yu-Xiong Wang (WACV, 2023)

Separate-and-Enhance: Compositional Finetuning for Text2Image Diffusion Models. - Zhipeng Bao; Yijun Li 001; Krishna Kumar Singh; Yu-Xiong Wang; Martial Hebert (CoRR, 2023)

Lexicon3D: Probing Visual Foundation Models for Complex 3D Scene Understanding. - Yunze Man; Shuhong Zheng; Zhipeng Bao; Martial Hebert; Liangyan Gui; Yu-Xiong Wang (NeurIPS, 2024)

Separate-and-Enhance: Compositional Finetuning for Text-to-Image Diffusion Models. - Zhipeng Bao; Yijun Li 001; Krishna Kumar Singh; Yu-Xiong Wang; Martial Hebert (SIGGRAPH (Conference Paper Track), 2024)

ReferEverything: Towards Segmenting Everything We Can Speak of in Videos. - Anurag Bagchi; Zhipeng Bao; Yu-Xiong Wang; Pavel Tokmakov; Martial Hebert (CoRR, 2024)

Latent Vector Optimization-Based Generative Image Steganography for Consumer Electronic Applications. - Zhili Zhou 001; Zhipeng Bao; Weiwei Jiang 003; Yuan Huang; Yun Peng 002; Achyut Shankar; Carsten Maple; Shitharth Selvarajan (IEEE Trans. Consumer Electron., 2024)

Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models. - Shuhong Zheng; Zhipeng Bao; Ruoyu Zhao; Martial Hebert; Yu-Xiong Wang (ICLR, 2025)

Interaction Dataset of Autonomous Vehicles with Traffic Lights and Signs. - Zheng Li; Zhipeng Bao; Haoming Meng; Haotian Shi; Qianwen Li; Handong Yao; Xiaopeng Li (CoRR, 2025)

Your Ride, Your Rules: Psychology and Cognition Enabled Automated Driving Systems. - Zhipeng Bao; Qianwen Li (CoRR, 2025)