Tianshi Cao

According to our database, Tianshi Cao authored at least 16 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players.

Fangfu Liu, Kai He, Tianchang Shen, Tianshi Cao, Sanja Fidler, Yueqi Duan, Jun Gao, Igor Gilitschenski, Zian Wang, Xuanchi Ren

CoRR, May, 2026

Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation.

Tianshi Cao, Jiawei Ren, Yuxuan Zhang, Jaewoo Seo, Jiahui Huang, Shikhar Solanki, Haotian Zhang, Mingfei Guo, Haithem Turki, Muxingzi Li, Yue Zhu, Sipeng Zhang, Zan Gojcic, Sanja Fidler, Kangxue Yin

CoRR, April, 2026

Lyra 2.0: Explorable Generative 3D Worlds.

Tianchang Shen, Sherwin Bahmani, Kai He, Sangeetha Grama Srinivasan, Tianshi Cao, Jiawei Ren, Ruilong Li, Zian Wang, Nicholas Sharp, Zan Gojcic, Sanja Fidler, Jiahui Huang, Huan Ling, Jun Gao, Xuanchi Ren

CoRR, April, 2026

2025

ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation.

Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Tianshi Cao, Kai He, Yifan Lu, Ruiyuan Gao, Enze Xie, Shiyi Lan, José M. Álvarez, Jun Gao, Sanja Fidler, Zian Wang, Huan Ling

CoRR, October, 2025

Masks make discriminative models great again!

Tianshi Cao, Marie-Julie Rakotosaona, Ben Poole, Federico Tombari, Michael Niemeyer

CoRR, July, 2025

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models.

Xuanchi Ren, Yifan Lu, Tianshi Cao, Ruiyuan Gao, Shengyu Huang, Amirmojtaba Sabour, Tianchang Shen, Tobias Pfaff, Jay Zhangjie Wu, Runjian Chen, Seung Wook Kim, Jun Gao, Laura Leal-Taixé, Mike Chen, Sanja Fidler, Huan Ling

CoRR, June, 2025

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control.

Hassan Abu Alhaija, José M. Álvarez, Maciej Bala, Tiffany Cai, Tianshi Cao, Liz Cha, Joshua Chen, Mike Chen, Francesco Ferroni, Sanja Fidler, Dieter Fox, Yunhao Ge, Jinwei Gu, Ali Hassani, Michael Isaev, Pooya Jannaty, Shiyi Lan, Tobias Lasser, Huan Ling, Ming-Yu Liu, Xian Liu, Yifan Lu, Alice Luo, Qianli Ma, Hanzi Mao, Fabio Ramos, Xuanchi Ren, Tianchang Shen, Xinglong Sun, Shitao Tang, Ting-Chun Wang, Jay Zhangjie Wu, Jiashu Xu, Stella Xu, Kevin Xie, Yuchong Ye, Xiaodong Yang, Xiaohui Zeng, Yu Zeng

CoRR, March, 2025

2024

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis.

Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Differentially Private Diffusion Models.

Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis

Trans. Mach. Learn. Res., 2023

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models.

Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2021

Scalable Neural Data Server: A Data Recommender for Transfer Learning.

Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence.

Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

A Benchmark of Medical Out of Distribution Detection.

Tianshi Cao, Chinwei Huang, David Yu-Tung Hui, Joseph Paul Cohen

CoRR, 2020

BabyAI++: Towards Grounded-Language Learning beyond Memorization.

Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam

CoRR, 2020

A Theoretical Analysis of the Number of Shots in Few-Shot Learning.

Tianshi Cao, Marc T. Law, Sanja Fidler

Proceedings of the 8th International Conference on Learning Representations, 2020

2018

Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home.

Jirapat Likitlersuang, Elizabeth R. Sumitro, Tianshi Cao, Ryan J. Visée, Sukhvinder Kalsi-Ryan, José Zariffa

CoRR, 2018