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检索条件"机构=Computer Vision and Robotics Institute"
464 条 记 录,以下是331-340 订阅
排序:
TextTopicNet - Self-supervised learning of visual features through embedding images on semantic text spaces
arXiv
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arXiv 2018年
作者: Patel, Yash Gomez, Lluis Gomez, Raul Rusiñol, Marçal Karatzas, Dimosthenis Jawahar, C.V. Robotics Institute Carnegie Mellon University PA United States CVIT KCIS IIIT Hyderabad India Computer Vision Center Universitat Autonoma de Barcelona Spain Eurecat Centre Tecnolgic de Catalunya Barcelona Spain
The immense success of deep learning based methods in computer vision heavily relies on large scale training datasets. These richly annotated datasets help the network learn discriminative visual features. Collecting ... 详细信息
来源: 评论
UniTSFace: unified threshold integrated sample-to-sample loss for face recognition  23
UniTSFace: unified threshold integrated sample-to-sample los...
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Proceedings of the 37th International Conference on Neural Information Processing Systems
作者: Qiufu Li Xi Jia Jiancan Zhou Linlin Shen Jinming Duan National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China and Computer Vision Institute Shenzhen University China and SZU Branch Shenzhen Institute of Artificial Intelligence and Robotics for Society China National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China and Computer Vision Institute Shenzhen University China and School of Computer Science University of Birmingham UK National Engineering Laboratory for Big Data System Computing Technology Shenzhen University China and Computer Vision Institute Shenzhen University China and Aqara Lumi United Technology Co. Ltd China School of Computer Science University of Birmingham UK and Alan Turing Institute UK
Sample-to-class-based face recognition models can not fully explore the cross-sample relationship among large amounts of facial images, while sample-to-sample-based models require sophisticated pairing processes for t...
来源: 评论
Scalable temporal interest points for abstraction and classification of video events
Scalable temporal interest points for abstraction and classi...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Seung-Hoon Han ln-So Kweon Digital Media R&D Center Samsung Electronics Company Limited South Korea Robotics and Computer Vision Laboratory Division of Electrical Engineering Department of EECS Korea Advanced Institute of Science and Technology South Korea
The image sequence of a static scene includes similar or redundant information over time. Hence, motion-discontinuous instants can efficiently characterize a video shot or event. However, such instants (key frames) ar... 详细信息
来源: 评论
Calibrated and partially calibrated semi-generalized homographies
arXiv
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arXiv 2021年
作者: Bhayani, Snehal Sattler, Torsten Barath, Daniel Beliansky, Patrik Heikkilä, Janne Kukelova, Zuzana Center for Machine Vision and Signal Analysis University of Oulu Finland Czech Institute of Informatics Robotics and Cybernetics Czech Technical University in Prague Computer Vision and Geometry Group Department of Computer Science ETH Zürich Faculty of Mathematics and Physics Charles University Prague Czech Republic Visual Recognition Group Faculty of Electrical Engineering Czech Technical University in Prague
In this paper, we propose the first minimal solutions for estimating the semi-generalized homography given a perspective and a generalized camera. The proposed solvers use five 2D-2D image point correspondences induce... 详细信息
来源: 评论
Exploiting Aggregation and Segregation of Representations for Domain Adaptive Human Pose Estimation
arXiv
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arXiv 2024年
作者: Peng, Qucheng Zheng, Ce Ding, Zhengming Wang, Pu Chen, Chen Center for Research in Computer Vision University of Central Florida Orlando United States Robotics Institute Carnegie Mellon University Pittsburgh United States Department of Computer Science Tulane University New Orleans United States University of North Carolina at Charlotte Charlotte United States
Human pose estimation (HPE) has received increasing attention recently due to its wide application in motion analysis, virtual reality, healthcare, etc. However, it suffers from the lack of labeled diverse real-world ... 详细信息
来源: 评论
Benchmarking Classical and Learning-Based Multibeam Point Cloud Registration
Benchmarking Classical and Learning-Based Multibeam Point Cl...
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IEEE International Conference on robotics and Automation (ICRA)
作者: Li Ling Jun Zhang Nils Bore John Folkesson Anna Wåhlin Division of Robotics Perception and Learning (RPL) KTH Royal Institute of Technology Stockholm Sweden Institute of Computer Graphics and Vision (ICGV) TU Graz Austria Ocean Infinity Västra Frölunda Sweden Department of Marine Sciences University of Gothenburg Sweden
Deep learning has shown promising results for multiple 3D point cloud registration datasets. However, in the underwater domain, most registration of multibeam echo-sounder (MBES) point cloud data are still performed u... 详细信息
来源: 评论
A New Dynamic Routing Network for Monocular Depth Estimation  12
A New Dynamic Routing Network for Monocular Depth Estimation
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12th International Conference on CYBER Technology in Automation, Control, and Intelligent Systems, CYBER 2022
作者: Luo, Zhehao Luo, Sijin Liang, Guoyuan Wu, Xinyu Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Province Shenzhen China University of Chinese Academy of Sciences Beijing China Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems Chinese Academy of Sciences Guangdong Province Shenzhen China Guangdong Provincial Key Laboratory of Computer Vision and Virtual Reality Technology Shenzhen Institute of Advanced Technology Chinese Academy of Sciences Guangdong Province Shenzhen China
Depth estimation is an essential task for understanding the geometry of 3D scenes. Compared with multi-view-based methods, monocular depth estimation is more challenging for the requirement of integrating not only glo... 详细信息
来源: 评论
Sparus II AUV as a Sensor Suite for Underwater Archaeology: Falconera Cave Experiments
Sparus II AUV as a Sensor Suite for Underwater Archaeology: ...
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Symposium on Autonomous Underwater Vehicle Technology (AUV)
作者: Guillem Vallicrosa Manuel J. Fumas Florian Huber Pere Ridao Computer Vision and Robotics Institute (VICOROB) Universitat de Girona Girona Spain International School of Doctorate in Marine Studies (EIDEMAR) Universidad de Cádiz Cádiz Spain Scientific Diving Operations (Submaris) Kiel Germany
The present work tries to improve the topographical and prospective methodology applied to underwater archaeology, as well as the different technical tools used in the study of submerged caves, using as a experimental... 详细信息
来源: 评论
Lidar Panoptic Segmentation in an Open World
arXiv
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arXiv 2024年
作者: Chakravarthy, Anirudh S. Ganesina, Meghana Reddy Hu, Peiyun Leal-Taixé, Laura Kong, Shu Ramanan, Deva Osep, Aljosa Robotics Institute Carnegie Mellon University United States Dynamic Vision and Learning TU Munich Germany Faculty of Science and Technology University of Macau China Department of Computer Science and Engineering Texas A&M University United States
Addressing Lidar Panoptic Segmentation (LPS) is crucial for safe deployment of autnomous vehicles. LPS aims to recognize and segment lidar points w.r.t. a pre-defined vocabulary of semantic classes, including thing cl... 详细信息
来源: 评论
WaveCNet: Wavelet integrated CNNs to suppress aliasing effect for noise-robust image classification
arXiv
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arXiv 2021年
作者: Li, Qiufu Shen, Linlin Guo, Sheng Lai, Zhihui Computer Vision Institute College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Shenzhen Institute of Artificial Intelligence and Robotics for Society Shenzhen518060 China Guangdong Key Laboratory of Intelligent Information Processing Shenzhen University Shenzhen518060 China MyBank Ant Group Hangzhou310012 China
Though widely used in image classification, convolutional neural networks (CNNs) are prone to noise interruptions, i.e. the CNN output can be drastically changed by small image noise. To improve the noise robustness, ... 详细信息
来源: 评论