activity
20222024
most citedDataset Condensation via Generative Model

2 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV20241 cited

Debiasing Text-to-Image Diffusion Models

Ruifei He, Chuhui Xue, Haoru Tan +4

Learning-based Text-to-Image (TTI) models like Stable Diffusion have revolutionized the way visual content is generated in various domains. However, recent research has shown that…

cs.CV20232 cited

Dataset Condensation via Generative Model

David Junhao Zhang, Heng Wang, Chuhui Xue +4

Dataset condensation aims to condense a large dataset with a lot of training samples into a small set. Previous methods usually condense the dataset into the pixels format. However…

cs.CV2023

Free-ATM: Exploring Unsupervised Learning on Diffusion-Generated Images with Free Attention Masks

David Junhao Zhang, Mutian Xu, Chuhui Xue +4

Despite the rapid advancement of unsupervised learning in visual representation, it requires training on large-scale datasets that demand costly data collection, and pose additiona…

cs.CV2023

Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding

Runyu Ding, Jihan Yang, Chuhui Xue +3

Open-world instance-level scene understanding aims to locate and recognize unseen object categories that are not present in the annotated dataset. This task is challenging because…

cs.CV2022

1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words

Zhangzi Zhu, Chuhui Xue, Yu Hao +2

Scene text recognition has attracted increasing interest in recent years due to its wide range of applications in multilingual translation, autonomous driving, etc. In this report,…

cs.CV2022

Runner-Up Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: Cropped Word Recognition

Zhangzi Zhu, Yu Hao, Wenqing Zhang +2

This report presents our 2nd place solution to ECCV 2022 challenge on Out-of-Vocabulary Scene Text Understanding (OOV-ST) : Cropped Word Recognition. This challenge is held in the…