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检索条件"任意字段=2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2024"
11890 条 记 录,以下是531-540 订阅
排序:
Few-Shot Classification with Feature Map Reconstruction Networks
Few-Shot Classification with Feature Map Reconstruction Netw...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wertheimer, Davis Tang, Luming Hariharan, Bharath Cornell Univ Ithaca NY 14853 USA
In this paper we reformulate few-shot classification as a reconstruction problem in latent space. The ability of the network to reconstruct a query feature map from support features of a given class predicts membershi... 详细信息
来源: 评论
Deep Rigid Instance Scene Flow  32
Deep Rigid Instance Scene Flow
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Ma, Wei-Chiu Wang, Shenlong Hu, Rui Xiong, Yuwen Urtasun, Raquel Uber Adv Technol Grp Pittsburgh PA 15201 USA MIT 77 Massachusetts Ave Cambridge MA 02139 USA Univ Toronto Toronto ON Canada
In this paper we tackle the problem of scene flow estimation in the context of self-driving. We leverage deep learning techniques as well as strong priors as in our application domain the motion of the scene can be co... 详细信息
来源: 评论
High-dimensional Convolutional Networks for Geometric pattern recognition
High-dimensional Convolutional Networks for Geometric Patter...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Choy, Christopher Lee, Junha Ranftl, Rene Park, Jaesik Koltun, Vladlen Stanford Univ Stanford CA 94305 USA POSTECH Pohang South Korea Intel Labs Hillsboro OR USA
Many problems in science and engineering can be formulated in terms of geometric patterns in high-dimensional spaces. We present high-dimensional convolutional networks (ConvNets) for pattern recognition problems that... 详细信息
来源: 评论
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic Matching Problems  31
DS*: Tighter Lifting-Free Convex Relaxations for Quadratic M...
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Bernard, Florian Theobalt, Christian Moeller, Michael MPI Informat Saarbrucken Germany Saarland Informat Campus Saarbrucken Germany Univ Siegen Siegen Germany
In this work we study convex relaxations of quadratic optimisation problems over permutation matrices. While existing semidefinite programming approaches can achieve remarkably tight relaxations, they have the strong ... 详细信息
来源: 评论
Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
Rethinking Style Transfer: From Pixels to Parameterized Brus...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Kotovenko, Dmytro Wright, Matthias Heimbrecht, Arthur Ommer, Bjoern Heidelberg Univ Heidelberg Collaboratory Image Proc IWR Heidelberg Germany
There have been many successful implementations of neural style transfer in recent years. In most of these works, the stylization process is confined to the pixel domain. However, we argue that this representation is ... 详细信息
来源: 评论
Learning Goals from Failure
Learning Goals from Failure
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Epstein, Dave Vondrick, Carl Columbia Univ New York NY 10027 USA
We introduce a framework that predicts the goals behind observable human action in video. Motivated by evidence in developmental psychology, we leverage video of unintentional action to learn video representations of ... 详细信息
来源: 评论
Image Inpainting with External-internal Learning and Monochromic Bottleneck
Image Inpainting with External-internal Learning and Monochr...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Wang, Tengfei Ouyang, Hao Chen, Qifeng Hong Kong Univ Sci & Technol Hong Kong Peoples R China
Although recent inpainting approaches have demonstrated significant improvement with deep neural networks, they still suffer from artifacts such as blunt structures and abrupt colors when filling in the missing region... 详细信息
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Rotation-Only Bundle Adjustment
Rotation-Only Bundle Adjustment
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Lee, Seong Hun Civera, Javier Univ Zaragoza I3A Zaragoza Spain
We propose a novel method for estimating the global rotations of the cameras independently of their positions and the scene structure. When two calibrated cameras observe five or more of the same points, their relativ... 详细信息
来源: 评论
Single-View View Synthesis with Multiplane Images
Single-View View Synthesis with Multiplane Images
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Tucker, Richard Snavely, Noah Google Res Mountain View CA 94043 USA
A recent strand of work in view synthesis uses deep learning to generate multiplane images-a camera-centric, layered 3D representation-given two or more input images at known viewpoints. We apply this representation t... 详细信息
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Video Representation Learning for Conversational Facial Expression recognition Guided by Multiple View Reconstruction
Video Representation Learning for Conversational Facial Expr...
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ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Strizhkova, Valeriya Ferrari, Laura M. Kachmar, Hadi Dantcheva, Antitza Bremond, Francois INRIA Paris France Univ Cote dAzur Nice France
Conversational facial expression recognition entails challenges such as handling of facial dynamics, small available datasets, low-intensity and fine-grained emotional expressions and extreme face angle. Towards addre... 详细信息
来源: 评论