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)

A Theoretical Analysis of the Number of Shots in Few-Shot Learning. - Tianshi Cao; Marc T. Law; Sanja Fidler (ICLR, 2020)

BabyAI++: Towards Grounded-Language Learning beyond Memorization. - Tianshi Cao; Jingkang Wang; Yining Zhang; Sivabalan Manivasagam (CoRR, 2020)

A Benchmark of Medical Out of Distribution Detection. - Tianshi Cao; Chinwei Huang; David Yu-Tung Hui; Joseph Paul Cohen (CoRR, 2020)

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. - Tianshi Cao; Alex Bie; Arash Vahdat; Sanja Fidler; Karsten Kreis (NeurIPS, 2021)

Scalable Neural Data Server: A Data Recommender for Transfer Learning. - Tianshi Cao; Sasha Doubov; David Acuna; Sanja Fidler (NeurIPS, 2021)

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. - Tianshi Cao; Karsten Kreis; Sanja Fidler; Nicholas Sharp; Kangxue Yin (ICCV, 2023)

Differentially Private Diffusion Models. - Tim Dockhorn; Tianshi Cao; Arash Vahdat; Karsten Kreis (Trans. Mach. Learn. Res., 2023)

LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. - Kevin Xie; Jonathan Lorraine; Tianshi Cao; Jun Gao 004; James Lucas; Antonio Torralba 001; Sanja Fidler; Xiaohui Zeng (ECCV (77), 2024)

Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control. - Hassan Abu Alhaija; José M. Álvarez 004; Maciej Bala; Tiffany Cai; Tianshi Cao; Liz Cha; Joshua Chen; Mike Chen; Francesco Ferroni; Sanja Fidler; Dieter Fox; Yunhao Ge; et al. (CoRR, 2025)

Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models. - Xuanchi Ren; Yifan Lu; Tianshi Cao; Ruiyuan Gao 003; Shengyu Huang; Amirmojtaba Sabour; Tianchang Shen; Tobias Pfaff; Jay Zhangjie Wu; Runjian Chen; Seung Wook Kim 001; Jun Gao 004; et al. (CoRR, 2025)

Masks make discriminative models great again! - Tianshi Cao; Marie-Julie Rakotosaona; Ben Poole; Federico Tombari; Michael Niemeyer (CoRR, 2025)