no code implementations • 13 Jul 2023 • Kai Su, Yoichi Tomioka, Qiangfu Zhao, Yong liu
In the realm of Tiny AI, we introduce ``You Only Look at Interested Cells" (YOLIC), an efficient method for object localization and classification on edge devices.
3 code implementations • 15 Dec 2022 • Yabo Xiao, Kai Su, Xiaojuan Wang, Dongdong Yu, Lei Jin, Mingshu He, Zehuan Yuan
The existing end-to-end methods rely on dense representations to preserve the spatial detail and structure for precise keypoint localization.
no code implementations • IEEE Transactions on Pattern Analysis and Machine Intelligence 2022 • Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang
Person search aims at localizing and recognizing query persons from raw video frames, which is a combination of two sub-tasks, i. e., pedestrian detection and person re-identification.
Ranked #3 on Person Search on PRW
1 code implementation • 8 Oct 2022 • Yabo Xiao, Xiaojuan Wang, Dongdong Yu, Kai Su, Lei Jin, Mei Song, Shuicheng Yan, Jian Zhao
With the proposed body representation, we further deliver a compact single-stage multi-person pose regression network, termed as AdaptivePose.
1 code implementation • 16 Aug 2022 • Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang
In this work, we present the Knowledge Graph Transformer (kgTransformer) with masked pre-training and fine-tuning strategies.
no code implementations • ICCV 2021 • Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang
Large-scale labeled training data is often difficult to collect, especially for person identities.
no code implementations • 1 Sep 2021 • Zhenchao Jin, Dongdong Yu, Kai Su, Zehuan Yuan, Changhu Wang
Video scene parsing is a long-standing challenging task in computer vision, aiming to assign pre-defined semantic labels to pixels of all frames in a given video.
no code implementations • 28 Oct 2019 • Dongdong Yu, Kai Su, Changhu Wang
Multi-Person Pose Estimation is an interesting yet challenging task in computer vision.
no code implementations • 30 Sep 2019 • Dongdong Yu, Kai Su, Hengkai Guo, Jian Wang, Kaihui Zhou, Yuanyuan Huang, Minghui Dong, Jie Shao, Changhu Wang
Semi-supervised video object segmentation is an interesting yet challenging task in machine learning.
no code implementations • 14 May 2019 • Dongdong Yu, Kai Su, Xin Geng, Changhu Wang
In this paper, a novel Context-and-Spatial Aware Network (CSANet), which integrates both a Context Aware Path and Spatial Aware Path, is proposed to obtain effective features involving both context information and spatial information.
no code implementations • CVPR 2019 • Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang
Multi-person pose estimation is an important but challenging problem in computer vision.