22 citations · 26 across the 4 of their papers we have counts for
5 papers
Aligning Medical Images with General Knowledge from Large Language Models
Xiao Fang, Yi Lin, Dong Zhang +2
Pre-trained large vision-language models (VLMs) like CLIP have revolutionized visual representation learning using natural language as supervisions, and demonstrated promising gene…
Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation
Yi Lin, Dong Zhang, Xiao Fang +3
Medical image segmentation is a fundamental task in the community of medical image analysis. In this paper, a novel network architecture, referred to as Convolution, Transformer, a…
Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentation
Chunyan Wang, Dong Zhang, Liyan Zhang +1
Thanks to the advantages of the friendly annotations and the satisfactory performance, Weakly-Supervised Semantic Segmentation (WSSS) approaches have been extensively studied. Rece…
Semantic Scene Completion with Cleaner Self
Fengyun Wang, Dong Zhang, Hanwang Zhang +2
Semantic Scene Completion (SSC) transforms an image of single-view depth and/or RGB 2D pixels into 3D voxels, each of whose semantic labels are predicted. SSC is a well-known ill-p…
Rethinking the Reference-based Distinctive Image Captioning
Yangjun Mao, Long Chen, Zhihong Jiang +4
Distinctive Image Captioning (DIC) -- generating distinctive captions that describe the unique details of a target image -- has received considerable attention over the last few ye…