5 citations · 5 across the 4 of their papers we have counts for
4 papers
Spatial-Semantic Collaborative Cropping for User Generated Content
Yukun Su, Yiwen Cao, Jingliang Deng +2
A large amount of User Generated Content (UGC) is uploaded to the Internet daily and displayed to people world-widely through the client side (e.g., mobile and PC). This requires t…
Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation
Jingliang Deng, Zonghan Li
Weakly supervised semantic segmentation (WSSS), a fundamental computer vision task, which aims to segment out the object within only class-level labels. The traditional methods ado…
COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation
Yukun Su, Jingliang Deng, Zonghan Li
Image-level weakly supervised semantic segmentation is a challenging task that has been deeply studied in recent years. Most of the common solutions exploit class activation map (C…
A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection
Yukun Su, Jingliang Deng, Ruizhou Sun +2
Humans tend to mine objects by learning from a group of images or several frames of video since we live in a dynamic world. In the computer vision area, many researches focus on co…