research
∙
04/17/2023
Bootstrapping Objectness from Videos by Relaxed Common Fate and Visual Grouping
We study learning object segmentation from unlabeled videos. Humans can ...
share
research
∙
02/08/2023
Q-Diffusion: Quantizing Diffusion Models
Diffusion models have achieved great success in synthesizing diverse and...
research
∙
12/17/2022
Improving Unsupervised Video Object Segmentation with Motion-Appearance Synergy
We present IMAS, a method that segments the primary objects in videos wi...
research
∙
01/05/2022
Debiased Learning from Naturally Imbalanced Pseudo-Labels for Zero-Shot and Semi-Supervised Learning
This work studies the bias issue of pseudo-labeling, a natural phenomeno...
research
∙
10/06/2021
Data-Centric Semi-Supervised Learning
We study unsupervised data selection for semi-supervised learning (SSL),...
research
∙
04/07/2021
Unsupervised Visual Attention and Invariance for Reinforcement Learning
Vision-based reinforcement learning (RL) is successful, but how to gener...
research
∙
10/05/2020