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Xiang Li
Xiang Li
PhD candidate, Stony Brook University
Verified email at stonybrook.edu - Homepage
Title
Cited by
Cited by
Year
Starformer: Transformer with state-action-reward representations for visual reinforcement learning
J Shang, K Kahatapitiya, X Li, MS Ryoo
European conference on computer vision, 462-479, 2022
252022
Does self-supervised learning really improve reinforcement learning from pixels?
X Li, J Shang, S Das, M Ryoo
Advances in Neural Information Processing Systems 35, 30865-30881, 2022
242022
Peekaboo: Text to image diffusion models are zero-shot segmentors
R Burgert, K Ranasinghe, X Li, MS Ryoo
arXiv preprint arXiv:2211.13224, 2022
202022
Starformer: Transformer with state-action-reward representations for robot learning
J Shang, X Li, K Kahatapitiya, YC Lee, MS Ryoo
IEEE transactions on pattern analysis and machine intelligence, 2022
72022
TRITON: Neural Neural Textures for Better Sim2Real
RD Burgert, J Shang, X Li, MS Ryoo
6th Annual Conference on Robot Learning, 2022
6*2022
Diffusion illusions: Hiding images in plain sight
R Burgert, X Li, A Leite, K Ranasinghe, MS Ryoo
arXiv preprint arXiv:2312.03817, 2023
52023
Crossway diffusion: Improving diffusion-based visuomotor policy via self-supervised learning
X Li, V Belagali, J Shang, MS Ryoo
arXiv preprint arXiv:2307.01849, 2023
52023
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
S Das, T Jain, D Reilly, P Balaji, S Karmakar, S Marjit, X Li, A Das, ...
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
22024
Understanding Long Videos in One Multimodal Language Model Pass
K Ranasinghe, X Li, K Kahatapitiya, MS Ryoo
arXiv preprint arXiv:2403.16998, 2024
2024
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Articles 1–9