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检索条件"机构=Computer Vision and Robotics Institute"
469 条 记 录,以下是301-310 订阅
排序:
Unsupervised Terahertz Image Restoration Based on CycleGan  3
Unsupervised Terahertz Image Restoration Based on CycleGan
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3rd International Conference on Defence Technology, ICDT 2022
作者: Su, Zhipeng Zhang, Yixiong Qi, Feng Shi, Jianghong School of Informatics Xiamen University National Demonstrative Software School Xiamen361005 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang110016 China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences Shenyang110016 China Key Laboratory of Opto-Electronic Information Process Shenyang110016 China Key Laboratory of Image Understanding and Computer Vision Shenyang110016 China
Terahertz (THz) is considered as one of the key technologies for sixth generation communications, military, medical imaging and industrial inspection. THz images are susceptible to degradation due to system noise and ... 详细信息
来源: 评论
Fast Fog Detection for Camera Based Advanced Driver Assistance Systems
Fast Fog Detection for Camera Based Advanced Driver Assistan...
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17th International IEEE Conference on Intelligent Transportation Systems & The Asia-Pacific Council on Systems Engineering Conference 2014
作者: Rita Spinneker Carsten Koch Su-Birm Park Jason Jeongsuk Yoon Hochschule Emden/Leer University of Applied Sciences Institute of InformaticsAutomation and Robotics (I2AR)EmdenGermany LG Electronics Future IT Lab Computer Vision Team SeoulRepublic of Korea
In an increasing number of cars,the driver is supported by Advanced Driver Assistance Systems(ADAS).In particular camera based ADAS are a key component for further improvements in safety and driving *** imaging sensor... 详细信息
来源: 评论
A graph neural network to model disruption in human-aware robot navigation
arXiv
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arXiv 2021年
作者: Bachiller, Pilar Rodriguez-Criado, Daniel Jorvekar, Ronit R. Bustos, Pablo Faria, Diego R. Manso, Luis J. Robotics and Artificial Vision Laboratory University of Extremadura Extremadura Spain College of Engineering and Physical Sciences Aston University BirminghamB4 7ET United Kingdom Department of Computer Engineering Pune Institute of Computer Technology India
Autonomous navigation is a key skill for assistive and service robots. To be successful, robots have to minimise the disruption caused to humans while moving. This implies predicting how people will move and complying... 详细信息
来源: 评论
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
arXiv
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arXiv 2023年
作者: Goswami, Dipam Liu, Yuyang Twardowski, Bartlomiej van de Weijer, Joost Department of Computer Science Universitat Autònoma de Barcelona Spain Computer Vision Center Barcelona Spain University of Chinese Academy of Sciences China State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences China Institutes for Robotics and Intelligent Manufacturing Chinese Academy of Sciences China IDEAS-NCBR
Exemplar-free class-incremental learning (CIL) poses several challenges since it prohibits the rehearsal of data from previous tasks and thus suffers from catastrophic forgetting. Recent approaches to incrementally le... 详细信息
来源: 评论
Lprr: Locality Preserving Robust Regression Based Sparse Feature Extraction
SSRN
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SSRN 2024年
作者: Zhu, Yufei Wen, Jiajun Lai, Zhihui Zhou, Jie Kong, Heng The Computer Vision Institute The College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China The Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen University Shenzhen518060 China the Department of Breast and Thyroid Surgery BaoAn Central Hospital of Shenzhen Shenzhen518060 China
Jointly sparse projection learning attracts considerable attention due to its strong interpretability in feature extraction. To address the challenges related to weak discriminating representation in supervised featur... 详细信息
来源: 评论
An improved YOLO V3 for small vehicles detection in aerial images
An improved YOLO V3 for small vehicles detection in aerial i...
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作者: Moran Ju Haibo Luo Zhongbo Wang Shenyang Institute of Automation &Institutes for Robotics and Intelligent Manufacturing & Key Laboratory of Opt-Electronic Information Processing Chinese Academy of Sciences University of Chinese Academy of Sciences The Key Laboratory of Image Understanding and Computer Vision
Small vehicle detection in aerial images is a challenge in computer vision because small vehicles occupy less pixels and the environment around the small vehicles is complex. To improve the detection performance for t... 详细信息
来源: 评论
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
arXiv
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arXiv 2024年
作者: Lin, Qinliang Luo, Cheng Niu, Zenghao He, Xilin Xie, Weicheng Hou, Yuanbo Shen, Linlin Song, Siyang Computer Vision Institute School of Computer Science & Software Engineering Shenzhen University China Shenzhen Institute of Artificial Intelligence and Robotics for Society China Guangdong Key Laboratory of Intelligent Information Processing China WAVES Research Group Ghent University Belgium University of Leicester United Kingdom
Adversarial examples generated by a surrogate model typically exhibit limited transferability to unknown target systems. To address this problem, many transferability enhancement approaches (e.g., input transformation... 详细信息
来源: 评论
Fast Texture Synthesis via Pseudo Optimizer
Fast Texture Synthesis via Pseudo Optimizer
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Conference on computer vision and Pattern Recognition (CVPR)
作者: Wu Shi Yu Qiao ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society
Texture synthesis using deep neural networks can generate high quality and diversified textures. However, it usually requires a heavy optimization process. The following works accelerate the process by using feed-forw... 详细信息
来源: 评论
Smallbignet: Integrating core and contextual views for video classification
arXiv
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arXiv 2020年
作者: Li, Xianhang Wang, Yali Zhou, Zhipeng Qiao, Yu ShenZhen Key Lab of Computer Vision and Pattern Recognition SIAT-SenseTime Joint Lab Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences SIAT Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society
Temporal convolution has been widely used for video classification. However, it is performed on spatio-temporal contexts in a limited view, which often weakens its capacity of learning video representation. To allevia... 详细信息
来源: 评论
A Single 2D Pose with Context is Worth Hundreds for 3D Human Pose Estimation
arXiv
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arXiv 2023年
作者: Zhao, Qitao Zheng, Ce Liu, Mengyuan Chen, Chen Robotics Institute Carnegie Mellon University United States Center for Research in Computer Vision University of Central Florida United States Key Laboratory of Machine Perception Peking University Shenzhen Graduate School China
The dominant paradigm in 3D human pose estimation that lifts a 2D pose sequence to 3D heavily relies on long-term temporal clues (i.e., using a daunting number of video frames) for improved accuracy, which incurs perf... 详细信息
来源: 评论