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检索条件"任意字段=IEEE-Computer-Society Conference on Computer Vision and Pattern Recognition Workshops"
8963 条 记 录,以下是161-170 订阅
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Live Demonstration: Incremental Motion Estimation for Event-based Cameras by Dispersion Minimisation
Live Demonstration: Incremental Motion Estimation for Event-...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Nunes, Urbano Miguel Demiris, Yiannis Imperial Coll London Personal Robot Lab London England
Live demonstration setup. (Left) The setup consists of a DAVIS346B event camera connected to a standard consumer laptop and undergoes some motion. (Right) The motion estimates are plotted in red and, for rotation-like... 详细信息
来源: 评论
3D Ground-Truth Systems for Object/Human recognition and Tracking
3D Ground-Truth Systems for Object/Human Recognition and Tra...
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26th ieee conference on computer vision and pattern recognition (CVPR)
作者: Godil, Afzal Bostelman, Roger Saidi, Kamel Shackleford, Will Cheok, Geraldine Shneier, Michael Hong, Tsai NIST Gaithersburg MD 20899 USA
We have been researching three dimensional (3D) ground-truth systems for performance evaluation of vision and perception systems in the fields of smart manufacturing and robot safety. In this paper we first present an... 详细信息
来源: 评论
SCVRL: Shuffled Contrastive Video Representation Learning
SCVRL: Shuffled Contrastive Video Representation Learning
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Dorkenwald, Michael Xiao, Fanyi Brattoli, Biagio Tighe, Joseph Modolo, Davide Heidelberg Univ Heidelberg Germany AWS AI Labs Palo Alto CA USA AWS Palo Alto CA USA
We propose SCVRL, a novel contrastive-based framework for self-supervised learning for videos. Differently from previous contrast learning based methods that mostly focus on learning visual semantics (e.g., CVRL), SCV... 详细信息
来源: 评论
Proposal-free Lidar Panoptic Segmentation with Pillar-level Affinity
Proposal-free Lidar Panoptic Segmentation with Pillar-level ...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Chen, Qi Vora, Sourabh Johns Hopkins Univ Baltimore MD 21218 USA Motional Boston MA USA
We propose a simple yet effective proposal-free architecture for lidar panoptic segmentation. We jointly optimize both semantic segmentation and class-agnostic instance classification in a single network using a pilla... 详细信息
来源: 评论
Event-based spacecraft landing using time-to-contact
Event-based spacecraft landing using time-to-contact
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Sikorski, Olaf Izzo, Dario Meoni, Gabriele European Space Technol Ctr Adv Concepts Team Keplerlaan 1 NL-2201 AZ Noordwijk Netherlands
We study event-based sensors in the context of spacecraft guidance and control during a descent on Moon-like terrains. For this purpose, we develop a simulator reproducing the event-based camera outputs when exposed t... 详细信息
来源: 评论
Line Art Colorization with Concatenated Spatial Attention
Line Art Colorization with Concatenated Spatial Attention
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Yuan, Mingcheng Simo-Serra, Edgar Waseda Univ Tokyo Japan
Line art plays a fundamental role in illustration and design, and allows for iteratively polishing designs. However, as they lack color, they can have issues in conveying final designs. In this work, we propose an int... 详细信息
来源: 评论
As Seen on TV: Automatic Basketball Video Production using Gaussian-based Actionness and Game States recognition
As Seen on TV: Automatic Basketball Video Production using G...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Quiroga, Julian Carrillo, Henry Maldonado, Edisson Ruiz, John Zapata, Luis M. Genius Sports Comp Vis Medellin Colombia
Automatic video production of sports aims at producing an aesthetic broadcast of sporting events. We present a new video system able to automatically produce a smooth and pleasant broadcast of Basketball games using a... 详细信息
来源: 评论
Anomaly Detection in Autonomous Driving: A Survey
Anomaly Detection in Autonomous Driving: A Survey
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Bogdoll, Daniel Nitsche, Maximilian Zoellner, J. Marius FZI Res Ctr Informat Technol Karlsruhe Germany KIT Karlsruhe Inst Technol Karlsruhe Germany
Nowadays, there are outstanding strides towards a future with autonomous vehicles on our roads. While the perception of autonomous vehicles performs well under closed-set conditions, they still struggle to handle the ... 详细信息
来源: 评论
Neural Architecture Search of Deep Priors: Towards Continual Learning without Catastrophic Interference
Neural Architecture Search of Deep Priors: Towards Continual...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Mundt, Martin Pliushch, Iuliia Ramesh, Visvanathan Goethe Univ Frankfurt Germany
In this paper we analyze the classification performance of neural network structures without parametric inference. Making use of neural architecture search, we empirically demonstrate that it is possible to find rando... 详细信息
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SomethingFinder: Localizing undefined regions using referring expressions
SomethingFinder: Localizing undefined regions using referrin...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Eum, Sungmin Han, David Briggs, Gordon US Army Res Lab Adelphi MD 20783 USA Booz Allen Hamilton Mclean VA 22102 USA US Naval Res Lab Washington DC USA
Previous research on localizing a target region in an image referred to by a natural language expression has occurred within an object-centric paradigm. However, in practice, there may not be any easily named or ident... 详细信息
来源: 评论