9 citations · 22 across the 11 of their papers we have counts for
5 papers · 1 filter
DI-Net : Decomposed Implicit Garment Transfer Network for Digital Clothed 3D Human
Xiaojing Zhong, Yukun Su, Zhonghua Wu +2
3D virtual try-on enjoys many potential applications and hence has attracted wide attention. However, it remains a challenging task that has not been adequately solved. Existing 2D…
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…
Semantic-Constraint Matching Transformer for Weakly Supervised Object Localization
Yiwen Cao, Yukun Su, Wenjun Wang +2
Weakly supervised object localization (WSOL) strives to learn to localize objects with only image-level supervision. Due to the local receptive fields generated by convolution oper…
Occlusion-Aware Detection and Re-ID Calibrated Network for Multi-Object Tracking
Yukun Su, Ruizhou Sun, Xin Shu +2
Multi-Object Tracking (MOT) is a crucial computer vision task that aims to predict the bounding boxes and identities of objects simultaneously. While state-of-the-art methods have…
Improving Video Violence Recognition with Human Interaction Learning on 3D Skeleton Point Clouds
Yukun Su, Guosheng Lin, Qingyao Wu
Deep learning has proved to be very effective in video action recognition. Video violence recognition attempts to learn the human multi-dynamic behaviours in more complex scenarios…