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检索条件"机构=Computer Vision and Robotics Institute"
464 条 记 录,以下是301-310 订阅
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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
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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
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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
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Learning Attentive Pairwise Interaction for Fine-Grained Classification
arXiv
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arXiv 2020年
作者: Zhuang, Peiqin Wang, Yali 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
Fine-grained classification is a challenging problem, due to subtle differences among highly-confused categories. Most approaches address this difficulty by learning discriminative representation of individual input i... 详细信息
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Detection and depth estimation for domestic waste in outdoor environments by sensors fusion
arXiv
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arXiv 2022年
作者: de Páez-Ubieta, Ignacio L. Velasco-Sánchez, Edison Puente, Santiago T. Candelas, Francisco A. AUtomatics RObotics and Artificial Vision Lab Computer Science Research Institute University of Alicante San Vicente del Raspeig University Campus s/n San Vicente del Raspeig Alicante03690 Spain
In this work, we estimate the depth in which domestic waste are located in space from a mobile robot in outdoor scenarios. As we are doing this calculus on a broad range of space (0.3 - 6.0 m), we use RGB-D camera and... 详细信息
来源: 评论
Fingerprint Presentation Attack Detector Using Global-Local Model
arXiv
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arXiv 2024年
作者: Liu, Haozhe Zhang, Wentian Liu, Feng Wu, Haoqian Shen, Linlin The Computer Vision Institute College of Computer Science and Software Engineering SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society The National Engineering Laboratory for Big Data System Computing Technology The Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China
The vulnerability of automated fingerprint recognition systems (AFRSs) to presentation attacks (PAs) promotes the vigorous development of PA detection (PAD) technology. However, PAD methods have been limited by inform... 详细信息
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Online mapping and motion planning under uncertainty for safe navigation in unknown environments
arXiv
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arXiv 2020年
作者: Pairet, Èric Hernández, Juan David Carreras, Marc Petillot, Yvan Lahijanian, Morteza Institute of Perception Action and Behaviour University of Edinburgh and Heriot-Watt University United Kingdom Department of Computer Sciences Rice University United States Computer Vision and Robotics Institute Univeristy of Girona Spain Department of Aerospace Engineering Sciences University of Colorado BoulderCO United States
Safe autonomous navigation is an essential and challenging problem for robots operating in highly unstructured or completely unknown environments. Under these conditions, not only robotic systems must deal with limite... 详细信息
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Augmented Cognition via Brainwave Entrainment in Virtual Reality: An Open, Integrated Brain Augmentation in a Neuroscience System Approach
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Augmented Human Research 2017年 第1期2卷 1-14页
作者: Emanuele Argento George Papagiannakis Eva Baka Michail Maniadakis Panos Trahanias Michael Sfakianakis Ioannis Nestoros Computational Vision and Robotics Laboratory Institute of Computer Science Foundation for Research and Technology Heraklion Greece Department of Computer Science University of Crete Heraklion Greece Department of Medicine University of Greece Heraklion Greece Department of Business Administration University of Piraeus Piraeus Greece Synchronal Amphiaraia University of Crete Snip-off Company Athens Greece
Building on augmented cognition theory and technology, our novel contribution in this work enables accelerated, certain brain functions related to task performance as well as their enhancement. We integrated in an ope...
来源: 评论