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2020 – today
- 2024
[j1]Long Lian, Boyi Li, Adam Yala, Trevor Darrell:
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. Trans. Mach. Learn. Res. 2024 (2024)- [c9]Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell:
Self-Correcting LLM-Controlled Diffusion Models. CVPR 2024: 6327-6336 - [c8]Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell:
Unsupervised Universal Image Segmentation. CVPR 2024: 22744-22754 - [c7]Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li:
LLM-grounded Video Diffusion Models. ICLR 2024 - [i12]Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, Xudong Wang, Adam Yala, Trevor Darrell, Alexei A. Efros, Ken Goldberg:
Rethinking Patch Dependence for Masked Autoencoders. CoRR abs/2401.14391 (2024) - 2023
- [c6]Long Lian, Zhirong Wu, Stella X. Yu:
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CVPR 2023: 14582-14591 - [c5]Xiuyu Li, Yijiang Liu
, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. ICCV 2023: 17489-17499 - [i11]Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. CoRR abs/2302.04304 (2023) - [i10]Long Lian, Zhirong Wu, Stella X. Yu:
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping. CoRR abs/2304.08025 (2023) - [i9]Long Lian, Boyi Li, Adam Yala, Trevor Darrell:
LLM-grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models. CoRR abs/2305.13655 (2023) - [i8]Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li:
LLM-grounded Video Diffusion Models. CoRR abs/2309.17444 (2023) - [i7]Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell:
Self-correcting LLM-controlled Diffusion Models. CoRR abs/2311.16090 (2023) - [i6]Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell:
Unsupervised Universal Image Segmentation. CoRR abs/2312.17243 (2023) - 2022
- [c4]Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels. CVPR 2022: 14627-14637 - [c3]Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Selective Labeling for More Effective Semi-supervised Learning. ECCV (30) 2022: 427-445 - [i5]Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu:
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning. CoRR abs/2201.01490 (2022) - [i4]Long Lian, Zhirong Wu, Stella X. Yu:
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy. CoRR abs/2212.08816 (2022) - 2021
- [c2]Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Visual Attention and Invariance for Reinforcement Learning. CVPR 2021: 6677-6687 - [c1]Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu:
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. ICLR 2021 - [i3]Xudong Wang, Long Lian, Stella X. Yu:
Unsupervised Visual Attention and Invariance for Reinforcement Learning. CoRR abs/2104.02921 (2021) - [i2]Xudong Wang, Long Lian, Stella X. Yu:
Data-Centric Semi-Supervised Learning. CoRR abs/2110.03006 (2021) - 2020
- [i1]Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu:
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts. CoRR abs/2010.01809 (2020)
Coauthor Index
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