9 citations · 22 across the 11 of their papers we have counts for
11 papers
Video Anomaly Detection with Semantics-Aware Information Bottleneck
Juntong Li, Lingwei Dang, Qingxin Xiao +5
Semi-supervised video anomaly detection methods face two critical challenges: (1) Strong generalization blurs the boundary between normal and abnormal patterns. Although existing a…
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…
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…
Dual Progressive Transformations for Weakly Supervised Semantic Segmentation
Dongjian Huo, Yukun Su, Qingyao Wu
Weakly supervised semantic segmentation (WSSS), which aims to mine the object regions by merely using class-level labels, is a challenging task in computer vision. The current stat…
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…
Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation
Yukun Su, Ruizhou Sun, Guosheng Lin +1
Data augmentation is vital for deep learning neural networks. By providing massive training samples, it helps to improve the generalization ability of the model. Weakly supervised…
MU-GAN: Facial Attribute Editing based on Multi-attention Mechanism
Ke Zhang, Yukun Su, Xiwang Guo +2
Facial attribute editing has mainly two objectives: 1) translating image from a source domain to a target one, and 2) only changing the facial regions related to a target attribute…