Long Lian

According to our database, Long Lian authored at least 14 papers between 2021 and 2024.

Collaborative distances:

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

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

Trans. Mach. Learn. Res., 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

CoRR, 2024

LLM-grounded Video Diffusion Models.

Long Lian, Baifeng Shi, Adam Yala, Trevor Darrell, Boyi Li

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Self-Correcting LLM-Controlled Diffusion Models.

Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Unsupervised Universal Image Segmentation.

Dantong Niu, Xudong Wang, Xinyang Han, Long Lian, Roei Herzig, Trevor Darrell

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Q-Diffusion: Quantizing Diffusion Models.

Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping.

Long Lian, Zhirong Wu, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy.

Long Lian, Zhirong Wu, Stella X. Yu

CoRR, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning.

Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

CoRR, 2022

Unsupervised Selective Labeling for More Effective Semi-supervised Learning.

Xudong Wang, Long Lian, Stella X. Yu

Proceedings of the Computer Vision - ECCV 2022, 2022

Debiased Learning from Naturally Imbalanced Pseudo-Labels.

Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Data-Centric Semi-Supervised Learning.

Xudong Wang, Long Lian, Stella X. Yu

CoRR, 2021

Long-tailed Recognition by Routing Diverse Distribution-Aware Experts.

Xudong Wang, Long Lian, Zhongqi Miao, Ziwei Liu, Stella X. Yu

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Visual Attention and Invariance for Reinforcement Learning.

Xudong Wang, Long Lian, Stella X. Yu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021