1k citations · 1.2k across the 45 of their papers we have counts for
49 papers
Open-Vocabulary Remote Sensing Image Semantic Segmentation
Qinglong Cao, Yuntian Chen, Chao Ma +1
Open-vocabulary image semantic segmentation (OVS) seeks to segment images into semantic regions across an open set of categories. Existing OVS methods commonly depend on foundation…
LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation
Henghui Ding, Lingyi Hong, Chang Liu +30
Despite the promising performance of current video segmentation models on existing benchmarks, these models still struggle with complex scenes. In this paper, we introduce the 6th…
POA: Pre-training Once for Models of All Sizes
Yingying Zhang, Xin Guo, Jiangwei Lao +7
Large-scale self-supervised pre-training has paved the way for one foundation model to handle many different vision tasks. Most pre-training methodologies train a single model of a…
Motion-adaptive Separable Collaborative Filters for Blind Motion Deblurring
Chengxu Liu, Xuan Wang, Xiangyu Xu +4
Eliminating image blur produced by various kinds of motion has been a challenging problem. Dominant approaches rely heavily on model capacity to remove blurring by reconstructing r…
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
Yu-Ju Tsai, Jin-Cheng Jhang, Jingjing Zheng +5
Inherent ambiguity in layout annotations poses significant challenges to developing accurate 360° room layout estimation models. To address this issue, we propose a novel Bi-Layout…
Spatial-Temporal Multi-level Association for Video Object Segmentation
Deshui Miao, Xin Li, Zhenyu He +2
Existing semi-supervised video object segmentation methods either focus on temporal feature matching or spatial-temporal feature modeling. However, they do not address the issues o…