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ORCIDTianshi Cao
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2020 – today
- 2026
[i18]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:
Lyra 2.0: Explorable Generative 3D Worlds. CoRR abs/2604.13036 (2026)- [i17]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:
Asset Harvester: Extracting 3D Assets from Autonomous Driving Logs for Simulation. CoRR abs/2604.18468 (2026) - [i16]Fangfu Liu, Kai He, Tianchang Shen, Tianshi Cao, Sanja Fidler, Yueqi Duan, Jun Gao, Igor Gilitschenski, Zian Wang, Xuanchi Ren:
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players. CoRR abs/2605.28816 (2026) - [i15]Zijian Huang, Jay Zhangjie Wu, Zian Wang, Tianshi Cao, Jiasi Chen, Sanja Fidler, Huan Ling, Xuanchi Ren:
APE: Agentic Prompt Enhancer for Image Generation and Editing. CoRR abs/2606.00204 (2026) - [i14]Aarti Basant, Amlan Kar, Despoina Paschalidou, Fangyin Wei, Francesco Ferroni, Guillermo Garcia Cobo, Haithem Turki, Huan Ling, Jaewoo Seo, James Lucas, Jay Zhangjie Wu, Jialiang Wang, Jonathan Lorraine, Jun Gao, Kai He, Katarína Tóthová, Kevin Xie, Michal J. Tyszkiewicz, Qi Wu, Riccardo de Lutio, Ruilong Li, Sanja Fidler, Seung Wook Kim, Tianchang Shen, Tianshi Cao, Tobias Pfaff, William Lew, Xindi Wu, Xuanchi Ren, Yifan Lu, Yuxuan Zhang, Zan Gojcic, Zian Wang:
NVIDIA OmniDreams: Real-Time Generative World Model for Closed-Loop Autonomous Vehicle Simulation. CoRR abs/2606.03159 (2026) - 2025
- [i13]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:
Cosmos-Transfer1: Conditional World Generation with Adaptive Multimodal Control. CoRR abs/2503.14492 (2025) - [i12]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:
Cosmos-Drive-Dreams: Scalable Synthetic Driving Data Generation with World Foundation Models. CoRR abs/2506.09042 (2025) - [i11]Tianshi Cao, Marie-Julie Rakotosaona, Ben Poole, Federico Tombari, Michael Niemeyer:
Masks make discriminative models great again! CoRR abs/2507.00916 (2025) - [i10]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:
ChronoEdit: Towards Temporal Reasoning for Image Editing and World Simulation. CoRR abs/2510.04290 (2025) - 2024
- [c5]Kevin Xie, Jonathan Lorraine
, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. ECCV (77) 2024: 305-322 - [i9]Kevin Xie, Jonathan Lorraine, Tianshi Cao, Jun Gao, James Lucas, Antonio Torralba, Sanja Fidler, Xiaohui Zeng:
LATTE3D: Large-scale Amortized Text-To-Enhanced3D Synthesis. CoRR abs/2403.15385 (2024) - 2023
- [j1]Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis:
Differentially Private Diffusion Models. Trans. Mach. Learn. Res. 2023 (2023) - [c4]Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin:
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. ICCV 2023: 4146-4158 - [i8]Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin:
TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. CoRR abs/2310.13772 (2023) - 2022
- [i7]Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler:
Scalable Neural Data Server: A Data Recommender for Transfer Learning. CoRR abs/2206.09386 (2022) - [i6]Tim Dockhorn, Tianshi Cao, Arash Vahdat, Karsten Kreis:
Differentially Private Diffusion Models. CoRR abs/2210.09929 (2022) - 2021
- [c3]Tianshi Cao, Sasha Doubov, David Acuna, Sanja Fidler:
Scalable Neural Data Server: A Data Recommender for Transfer Learning. NeurIPS 2021: 8984-8997 - [c2]Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis:
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. NeurIPS 2021: 12480-12492 - [i5]Tianshi Cao, Alex Bie, Arash Vahdat, Sanja Fidler, Karsten Kreis:
Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence. CoRR abs/2111.01177 (2021) - 2020
- [c1]Tianshi Cao, Marc T. Law, Sanja Fidler:
A Theoretical Analysis of the Number of Shots in Few-Shot Learning. ICLR 2020 - [i4]Tianshi Cao, Jingkang Wang, Yining Zhang, Sivabalan Manivasagam:
BabyAI++: Towards Grounded-Language Learning beyond Memorization. CoRR abs/2004.07200 (2020) - [i3]Tianshi Cao, Chinwei Huang, David Yu-Tung Hui, Joseph Paul Cohen:
A Benchmark of Medical Out of Distribution Detection. CoRR abs/2007.04250 (2020)
2010 – 2019
- 2019
- [i2]Tianshi Cao, Marc T. Law, Sanja Fidler:
A Theoretical Analysis of the Number of Shots in Few-Shot Learning. CoRR abs/1909.11722 (2019) - 2018
- [i1]Jirapat Likitlersuang, Elizabeth R. Sumitro, Tianshi Cao, Ryan J. Visée, Sukhvinder Kalsi-Ryan, José Zariffa:
Egocentric Video: A New Tool for Capturing Hand Use of Individuals with Spinal Cord Injury at Home. CoRR abs/1809.00928 (2018)
Coauthor Index
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last updated on 2026-07-07 01:15 CEST by the dblp team
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