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检索条件"任意字段=1994 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition"
22906 条 记 录,以下是4771-4780 订阅
排序:
Tags2Parts: Discovering Semantic Regions from Shape Tags  31
Tags2Parts: Discovering Semantic Regions from Shape Tags
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31st ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Muralikrishnan, Sanjeev Kim, Vladimir G. Chaudhuri, Siddhartha Indian Inst Technol Bombay Maharashtra India Adobe Res Bangalore Karnataka India
We propose a novel ntethod for discovering shape gions that strongly correlate with, user-prescribed, tags. For example, given a collection of chairs tagged as either "has armrest" or "lacks armrest&quo... 详细信息
来源: 评论
Neural 3D Mesh Renderer  31
Neural 3D Mesh Renderer
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31st ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Kato, Hiroharu Ushiku, Yoshitaka Harada, Tatsuya Univ Tokyo Tokyo Japan RIKEN Wako Saitama Japan
For modeling the 3D world behind 2D images, which 3D representation is most appropriate? A polygon mesh is a promising candidate for its compactness and geometric properties. However, it is not straightforward to mode... 详细信息
来源: 评论
TrackFormer: Multi-Object Tracking with Transformers
TrackFormer: Multi-Object Tracking with Transformers
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Meinhardt, Tim Kirillov, Alexander Leal-Taixe, Laura Feichtenhofer, Christoph Tech Univ Munich Munich Germany Facebook AI Res FAIR Menlo Pk CA USA
The challenging task of multi-object tracking (MOT) requires simultaneous reasoning about track initialization, identity, and spatio-temporal trajectories. We formulate this task as a frame-to-frame set prediction pro... 详细信息
来源: 评论
Deep Hashing Network for Unsupervised Domain Adaptation  30
Deep Hashing Network for Unsupervised Domain Adaptation
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30th ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Venkateswara, Hemanth Eusebio, Jose Chakraborty, Shayok Panchanathan, Sethuraman Arizona State Univ Ctr Cognit Ubiquitous Comp Tempe AZ 85287 USA
In recent years, deep neural networks have emerged as a dominant machine learning tool for a wide variety of application domains. However, training a deep neural network requires a large amount of labeled data, which ... 详细信息
来源: 评论
Long-Short Temporal Contrastive Learning of Video Transformers
Long-Short Temporal Contrastive Learning of Video Transforme...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wang, Jue Bertasius, Gedas Tran, Du Torresani, Lorenzo Facebook AI Res Menlo Pk CA 94025 USA Univ N Carolina Chapel Hill NC USA Dartmouth Hanover NH USA
Video transformers have recently emerged as a competitive alternative to 3D CNNs for video understanding. However, due to their large number of parameters and reduced inductive biases, these models require supervised ... 详细信息
来源: 评论
Hybrid framework for surface registration and deformable models
Hybrid framework for surface registration and deformable mod...
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Proceedings of the 1997 ieee computer society conference on computer vision and pattern recognition
作者: Montagnat, Johan Delingette, Herve INRIA Sophia-Antipolis France
In computer vision, two complementary approaches have been widely used to perform object reconstruction and registration. The deformable model framework locally applies internal and external forces to fit 3D data. The... 详细信息
来源: 评论
Recurrent vision Transformers for Object Detection with Event Cameras
Recurrent Vision Transformers for Object Detection with Even...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Gehrig, Mathias Scaramuzza, Davide Univ Zurich Robot & Percept Grp Zurich Switzerland
We present Recurrent vision Transformers (RVTs), a novel backbone for object detection with event cameras. Event cameras provide visual information with sub-millisecond latency at a high-dynamic range and with strong ... 详细信息
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A consensus structure inference algorithm
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Proceedings of the 1991 ieee computer society conference on computer vision and pattern recognition
作者: Chiu, David K.Y. Dept of Comput & Inf Sci Univ of Guelph Canada
The notion of consensus structure, a special form of random graph, is formally defined. The consensus structure represents an extended higher-order representation of the random n-tuple for statistical and structural p... 详细信息
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Distilled Person Re-identification: Towards a More Scalable System  32
Distilled Person Re-identification: Towards a More Scalable ...
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32nd ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Wu, Ancong Zheng, Wei-Shi Guo, Xiaowei Lai, Jian-Huang Sun Yat Sen Univ Sch Elect & Informat Technol Guangzhou Guangdong Peoples R China Sun Yat Sen Univ Sch Data & Comp Sci Guangzhou Guangdong Peoples R China Minist Educ Key Lab Machine Intelligence & Adv Comp Guangzhou Guangdong Peoples R China Guangdong Prov Key Lab Informat Secur Guangzhou Guangdong Peoples R China Tencent YouTu Lab Shenzhen Guangdong Peoples R China
Person re-identification (Re-ID), for matching pedestrians across non-overlapping camera views, has made great progress in supervised learning with abundant labelled data. However, the scalability problem is the bottl... 详细信息
来源: 评论
Extracting Triangular 3D Models, Materials, and Lighting From Images
Extracting Triangular 3D Models, Materials, and Lighting Fro...
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ieee/CVF conference on computer vision and pattern recognition (CVPR)
作者: Munkberg, Jacob Chen, Wenzheng Hasselgren, Jon Evans, Alex Shen, Tianchang Muller, Thomas Gao, Jun Fidler, Sanja NVIDIA Santa Clara CA 95051 USA Univ Toronto Toronto ON Canada Vector Inst Toronto ON Canada
We present an efficient method for joint optimization of topology, materials and lighting from multi-view image observations. Unlike recent multi-view reconstruction approaches, which typically produce entangled 3D re... 详细信息
来源: 评论