no code implementations • ECCV 2020 • Yukun Su, Guosheng Lin, Jinhui Zhu, Qingyao Wu
This paper introduces a new method for recognizing violent behavior by learning contextual relationships between related people from human skeleton points.
Ranked #5 on Activity Recognition on RWF-2000
1 code implementation • 16 Jan 2024 • Yukun Su, Yiwen Cao, Jingliang Deng, Fengyun Rao, Qingyao Wu
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).
no code implementations • 28 Nov 2023 • Xiaojing Zhong, Yukun Su, Zhonghua Wu, Guosheng Lin, Qingyao Wu
3D virtual try-on enjoys many potential applications and hence has attracted wide attention.
no code implementations • 29 Sep 2023 • Yukun Su, Jingliang Deng, Zonghan Li
Image-level weakly supervised semantic segmentation is a challenging task that has been deeply studied in recent years.
no code implementations • 4 Sep 2023 • Yiwen Cao, Yukun Su, Wenjun Wang, Yanxia Liu, Qingyao Wu
Weakly supervised object localization (WSOL) strives to learn to localize objects with only image-level supervision.
no code implementations • 30 Aug 2023 • Yukun Su, Ruizhou Sun, Xin Shu, Yu Zhang, Qingyao Wu
Multi-Object Tracking (MOT) is a crucial computer vision task that aims to predict the bounding boxes and identities of objects simultaneously.
no code implementations • 29 Aug 2023 • Yukun Su, Yi Yang
With the development of information technology, robot technology has made great progress in various fields.
no code implementations • 26 Aug 2023 • Yukun Su, Guosheng Lin, Qingyao Wu
(ii) Global-SPIL: to better learn and refine the features of the unordered and unstructured skeleton points, Global-SPIL employs the self-attention layer that operates directly on the sampled points, which can help to make the output more permutation-invariant and well-suited for our task.
1 code implementation • 30 Sep 2022 • 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.
1 code implementation • 9 Mar 2022 • Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Qingyao Wu
Besides, they fail to take full advantage of the cues among inter- and intra-feature within a group of images.
Ranked #1 on Video Salient Object Detection on FBMS-59
1 code implementation • ICCV 2021 • Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu
Data augmentation is vital for deep learning neural networks.
no code implementations • ICCV 2021 • Yukun Su, Guosheng Lin, Qingyao Wu
Recently, self-supervised learning (SSL) has been proved very effective and it can help boost the performance in learning representations from unlabeled data in the image domain.
1 code implementation • 9 Sep 2020 • Ke Zhang, Yukun Su, Xiwang Guo, Liang Qi, Zhenbing Zhao
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 and preserving the attribute-excluding details.