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检索条件"机构=Shenzhen Key Laboratory of Robotics and Computer Vision"
498 条 记 录,以下是71-80 订阅
排序:
Multi-Modality Co-Learning for Efficient Skeleton-based Action Recognition  24
Multi-Modality Co-Learning for Efficient Skeleton-based Acti...
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32nd ACM International Conference on Multimedia, MM 2024
作者: Liu, Jinfu Chen, Chen Liu, Mengyuan State Key Laboratory of General Artificial Intelligence Peking University Shenzhen Graduate School Shenzhen China Center for Research in Computer Vision University of Central Florida OrlandoFL United States
Skeleton-based action recognition has garnered significant attention due to the utilization of concise and resilient skeletons. Nevertheless, the absence of detailed body information in skeletons restricts performance... 详细信息
来源: 评论
Deep semi-supervised knowledge distillation for overlapping cervical cell instance segmentation  23rd
Deep semi-supervised knowledge distillation for overlapping ...
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23rd International Conference on Medical Image Computing and computer-Assisted Intervention, MICCAI 2020
作者: Zhou, Yanning Chen, Hao Lin, Huangjing Heng, Pheng-Ann Department of Computer Science and Engineering The Chinese University of Hong Kong Hong Kong Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China
Deep learning methods show promising results for overlapping cervical cell instance segmentation. However, in order to train a model with good generalization ability, voluminous pixel-level annotations are demanded wh... 详细信息
来源: 评论
Assessing performance of augmented reality-based neurosurgical training
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Visual Computing for Industry,Biomedicine,and Art 2019年 第1期2卷 45-54页
作者: Wei-Xin Si Xiang-Yun Liao Yin-Ling Qian Hai-Tao Sun Xiang-Dong Chen Qiong Wang Pheng Ann Heng Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences1068 Xueyuan AvenueShenzhen University TownShenzhen 518055China Department of Neurosurgery Zhujiang HospitalSouthern Medical UniversityGuangzhou 510282China E.N.T.department of Shenzhen University General Hospital Shenzhen 518055China Department of Computer Science and Engineering the Chinese University of Hong KongHong KongChina
This paper presents a novel augmented reality(AR)-based neurosurgical training simulator which provides a very natural way for surgeons to learn neurosurgical *** simulation with bimanual haptic interaction is integra... 详细信息
来源: 评论
Conditional Sequential Modulation for Efficient Global Image Retouching  16th
Conditional Sequential Modulation for Efficient Global Image...
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16th European Conference on computer vision, ECCV 2020
作者: He, Jingwen Liu, Yihao Qiao, Yu Dong, Chao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT - SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China University of Chinese Academy of Sciences Beijing China
Photo retouching aims at enhancing the aesthetic visual quality of images that suffer from photographic defects such as over/under exposure, poor contrast, inharmonious saturation. Practically, photo retouching can be... 详细信息
来源: 评论
Efficient Image Super-Resolution Using Pixel Attention  16th
Efficient Image Super-Resolution Using Pixel Attention
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Workshops held at the 16th European Conference on computer vision, ECCV 2020
作者: Zhao, Hengyuan Kong, Xiangtao He, Jingwen Qiao, Yu Dong, Chao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Beijing China SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen China University of Chinese Academy of Sciences Beijing China
This work aims at designing a lightweight convolutional neural network for image super resolution (SR). With simplicity bare in mind, we construct a pretty concise and effective network with a newly proposed pixel att... 详细信息
来源: 评论
An Experimental Study of keypoint Descriptor Fusion
An Experimental Study of Keypoint Descriptor Fusion
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IEEE International Conference on robotics and Biomimetics
作者: Yaling Pan Li He Yisheng Guan Hong Zhang Biomimetic Intelligent Robotics Research Laboratory (BIRL) Guangdong University of Technology Guangzhou China Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen China
Local feature descriptors play a crucial role in computer vision problems, especially robot motion. Existing descriptors are highly accurate, but their performance de-pends on the influence of distracting factors, suc... 详细信息
来源: 评论
Person Re-Identification for Robot Person Following with Online Continual Learning
arXiv
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arXiv 2023年
作者: Ye, Hanjing Zhao, Jieting Zhan, Yu Chen, Weinan He, Li Zhang, Hong Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology China Guangdong University of Technology China
Robot person following (RPF) is a crucial capability in human-robot interaction (HRI) applications, allowing a robot to persistently follow a designated person. In practica RPF scenarios, the person can often be occlu... 详细信息
来源: 评论
Perspective Phase Angle Model for Polarimetric 3D Reconstruction
arXiv
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arXiv 2022年
作者: Chen, Guangcheng He, Li Guan, Yisheng Zhang, Hong Guangdong University of Technology Guangzhou China Southern University of Science and Technology Shenzhen China Shenzhen Key Laboratory of Robotics and Computer Vision China
Current polarimetric 3D reconstruction methods, including those in the well-established shape from polarization literature, are all developed under the orthographic projection assumption. In the case of a large field ... 详细信息
来源: 评论
Multi-Scale Point Octree Encoding Network for Point Cloud Based Place Recognition
Multi-Scale Point Octree Encoding Network for Point Cloud Ba...
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IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
作者: Zhilong Tang Hanjing Ye Hong Zhang Department of Electrical and Electronic Engineering Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology (SUSTech) SUSTech Shenzhen China
Over the past decades, point cloud-based place recognition has garnered significant attention. This research paper presents a pioneering approach, denoted as the Multi-scale Point Octree Encoding Network (MPOE-Net), d...
来源: 评论
Task-Oriented Grasp Prediction with Visual-Language Inputs
arXiv
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arXiv 2023年
作者: Tang, Chao Huang, Dehao Meng, Lingxiao Liu, Weiyu Zhang, Hong Shenzhen Key Laboratory of Robotics and Computer Vision Southern University of Science and Technology Shenzhen China Institute for Robotics and Intelligent Machines Georgia Institute of Technology Atlanta United States
To perform household tasks, assistive robots receive commands in the form of user language instructions for tool manipulation. The initial stage involves selecting the intended tool (i.e., object grounding) and graspi... 详细信息
来源: 评论