Lian, Long

13 publications

ICCV 2025 Describe Anything: Detailed Localized Image and Video Captioning Long Lian, Yifan Ding, Yunhao Ge, Sifei Liu, Hanzi Mao, Boyi Li, Marco Pavone, Ming-Yu Liu, Trevor Darrell, Adam Yala, Yin Cui

TMLR 2025 Rethinking Patch Dependence for Masked Autoencoders Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, XuDong Wang, Adam Yala, Trevor Darrell, Alexei A Efros, Ken Goldberg

TMLR 2024 LLM-Grounded Diffusion: Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Models Long Lian, Boyi Li, Adam Yala, Trevor Darrell

ICLR 2024 LLM-Grounded Video Diffusion Models Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li

NeurIPSW 2024 Rethinking Patch Dependence for Masked Autoencoders Letian Fu, Long Lian, Renhao Wang, Baifeng Shi, XuDong Wang, Adam Yala, Trevor Darrell, Alexei A Efros, Ken Goldberg

CVPR 2024 Self-Correcting LLM-Controlled Diffusion Models Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell

CVPR 2024 Unsupervised Universal Image Segmentation Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell

CVPR 2023 Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping Long Lian, Zhirong Wu, Stella X. Yu

ICCV 2023 Q-Diffusion: Quantizing Diffusion Models Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

CVPR 2022 Debiased Learning from Naturally Imbalanced Pseudo-Labels Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

ECCV 2022 Unsupervised Selective Labeling for More Effective Semi-Supervised Learning Xudong Wang, Long Lian, Stella X. Yu

ICLR 2021 Long-Tailed Recognition by Routing Diverse Distribution-Aware Experts Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella Yu

CVPR 2021 Unsupervised Visual Attention and Invariance for Reinforcement Learning Xudong Wang, Long Lian, Stella X. Yu