Xiang Li

According to our database, Xiang Li authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

LLaRA: Supercharging Robot Learning Data for Vision-Language Policy.

Xiang Li, Cristina Mata, Jongwoo Park, Kumara Kahatapitiya, Yoo Sung Jang, Jinghuan Shang, Kanchana Ranasinghe, Ryan Burgert, Mu Cai, Yong Jae Lee, Michael S. Ryoo

CoRR, 2024

Understanding Long Videos in One Multimodal Language Model Pass.

Kanchana Ranasinghe, Xiang Li, Kumara Kahatapitiya, Michael S. Ryoo

CoRR, 2024

Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders.

Srijan Das, Tanmay Jain, Dominick Reilly, Pranav Balaji, Soumyajit Karmakar, Shyam Marjit, Xiang Li, Abhijit Das, Michael S. Ryoo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Diffusion Illusions: Hiding Images in Plain Sight.

Ryan Burgert, Xiang Li, Abe Leite, Kanchana Ranasinghe, Michael S. Ryoo

Proceedings of the ACM SIGGRAPH 2024 Conference Papers, 2024

Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning.

Xiang Li, Varun Belagali, Jinghuan Shang, Michael S. Ryoo

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

StARformer: Transformer With State-Action-Reward Representations for Robot Learning.

Jinghuan Shang, Xiang Li, Kumara Kahatapitiya, Yu-Cheol Lee, Michael S. Ryoo

IEEE Trans. Pattern Anal. Mach. Intell., November, 2023

2022

Peekaboo: Text to Image Diffusion Models are Zero-Shot Segmentors.

Ryan Burgert, Kanchana Ranasinghe, Xiang Li, Michael S. Ryoo

CoRR, 2022

Neural Neural Textures Make Sim2Real Consistent.

Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo

CoRR, 2022

Does Self-supervised Learning Really Improve Reinforcement Learning from Pixels?

Xiang Li, Jinghuan Shang, Srijan Das, Michael S. Ryoo

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

StARformer: Transformer with State-Action-Reward Representations for Visual Reinforcement Learning.

Jinghuan Shang, Kumara Kahatapitiya, Xiang Li, Michael S. Ryoo

Proceedings of the Computer Vision - ECCV 2022, 2022

TRITON: Neural Neural Textures for Better Sim2Real.

Ryan Burgert, Jinghuan Shang, Xiang Li, Michael S. Ryoo

Proceedings of the Conference on Robot Learning, 2022