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Long Lian
Long Lian
Verified email at berkeley.edu - Homepage
Title
Cited by
Cited by
Year
Long-tailed recognition by routing diverse distribution-aware experts
X Wang, L Lian, Z Miao, Z Liu, SX Yu
arXiv preprint arXiv:2010.01809, 2020
3272020
Debiased learning from naturally imbalanced pseudo-labels
X Wang, Z Wu, L Lian, SX Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
612022
Llm-grounded diffusion: Enhancing prompt understanding of text-to-image diffusion models with large language models
L Lian, B Li, A Yala, T Darrell
arXiv preprint arXiv:2305.13655, 2023
492023
Q-diffusion: Quantizing diffusion models
X Li, Y Liu, L Lian, H Yang, Z Dong, D Kang, S Zhang, K Keutzer
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
342023
Unsupervised visual attention and invariance for reinforcement learning
X Wang, L Lian, SX Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
272021
Unsupervised selective labeling for more effective semi-supervised learning
X Wang, L Lian, SX Yu
European Conference on Computer Vision, 427-445, 2022
242022
Llm-grounded video diffusion models
L Lian, B Shi, A Yala, T Darrell, B Li
arXiv preprint arXiv:2309.17444, 2023
52023
Bootstrapping objectness from videos by relaxed common fate and visual grouping
L Lian, Z Wu, SX Yu
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
42023
Self-correcting llm-controlled diffusion models
TH Wu, L Lian, JE Gonzalez, B Li, T Darrell
arXiv preprint arXiv:2311.16090, 2023
32023
Unsupervised universal image segmentation
D Niu, X Wang, X Han, L Lian, R Herzig, T Darrell
arXiv preprint arXiv:2312.17243, 2023
22023
Rethinking Patch Dependence for Masked Autoencoders
L Fu, L Lian, R Wang, B Shi, X Wang, A Yala, T Darrell, AA Efros, ...
arXiv preprint arXiv:2401.14391, 2024
2024
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy
L Lian, Z Wu, SX Yu
arXiv preprint arXiv:2212.08816, 2022
2022
Neural network training method, apparatus, electronic device, medium, and program product
D Feng, L Lian, D Yu, X Yao, X Wu, Z Wu, Y Ma
2021
Q-Diffusion: Quantizing Diffusion Models (Supplementary Materials)
X Li, Y Liu, L Lian, H Yang, Z Dong, D Kang, S Zhang, K Keutzer
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping Supplementary Materials
L Lian, Z Wu, SX Yu
Supplementary Materials: Unsupervised Visual Attention and Invariance for Reinforcement Learning
X Wang, L Lian, XY Stella
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Articles 1–16