Cao, Ziang

10 publications

CVPR 2025 3DTopia-XL: Scaling High-Quality 3D Asset Generation via Primitive Diffusion Zhaoxi Chen, Jiaxiang Tang, Yuhao Dong, Ziang Cao, Fangzhou Hong, Yushi Lan, Tengfei Wang, Haozhe Xie, Tong Wu, Shunsuke Saito, Liang Pan, Dahua Lin, Ziwei Liu

NeurIPS 2025 PhysX-3D: Physical-Grounded 3D Asset Generation Ziang Cao, Zhaoxi Chen, Liang Pan, Ziwei Liu

CoRL 2024 EquiBot: SIM(3)-Equivariant Diffusion Policy for Generalizable and Data Efficient Learning Jingyun Yang, Ziang Cao, Congyue Deng, Rika Antonova, Shuran Song, Jeannette Bohg

ICLR 2024 Large-Vocabulary 3D Diffusion Model with Transformer Ziang Cao, Fangzhou Hong, Tong Wu, Liang Pan, Ziwei Liu

AISTATS 2024 NoisyMix: Boosting Model Robustness to Common Corruptions Benjamin Erichson, Soon Hoe Lim, Winnie Xu, Francisco Utrera, Ziang Cao, Michael Mahoney

CoRL 2024 Unpacking Failure Modes of Generative Policies: Runtime Monitoring of Consistency and Progress Christopher Agia, Rohan Sinha, Jingyun Yang, Ziang Cao, Rika Antonova, Marco Pavone, Jeannette Bohg

CoRL 2023 What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery Peide Huang, Xilun Zhang, Ziang Cao, Shiqi Liu, Mengdi Xu, Wenhao Ding, Jonathan Francis, Bingqing Chen, Ding Zhao

CVPR 2022 Egocentric Prediction of Action Target in 3D Yiming Li, Ziang Cao, Andrew Liang, Benjamin Liang, Luoyao Chen, Hang Zhao, Chen Feng

CVPR 2022 TCTrack: Temporal Contexts for Aerial Tracking Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu

ICCV 2021 HiFT: Hierarchical Feature Transformer for Aerial Tracking Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li