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检索条件"任意字段=IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000"
19488 条 记 录,以下是201-210 订阅
排序:
Non-autoregressive Sequence-to-Sequence vision-Language Models
Non-autoregressive Sequence-to-Sequence Vision-Language Mode...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Shi, Kunyu Dong, Qi Goncalves, Luis Tu, Zhuowen Soatto, Stefano AWS AI Labs Seattle WA 98101 USA
Sequence-to-sequence vision-language models are showing promise, but their applicability is limited by their inference latency due to their autoregressive way of generating predictions. We propose a parallel decoding ... 详细信息
来源: 评论
Isotropic gradient estimation
Isotropic gradient estimation
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1966 ieee computer Society conference on computer vision and pattern recognition
作者: Merron, J Brady, M UNIV OXFORD DEPT ENGN SCIROBOT RES GRPOXFORD OX1 3PJENGLAND
The vast majority of corner and edge detectors measure image intensity gradients in order to estimate the positions and strengths of features. However, many of the most popular intensity gradient estimators are inhere... 详细信息
来源: 评论
Motion Estimation with Non-Local Total Variation Regularization
Motion Estimation with Non-Local Total Variation Regularizat...
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Werlberger, Manuel Pock, Thomas Bischof, Horst Institute for Computer Graphics and Vision Austria
State-of-the-art motion estimation algorithms suffer from three major problems: Poorly textured regions, occlusions and small scale image structures. Based on the Gestalt principles of grouping we propose to incorpora... 详细信息
来源: 评论
On occluding contour artifacts in stereo vision
On occluding contour artifacts in stereo vision
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1997 ieee computer Society conference on computer vision and pattern recognition (cvpr 97)
作者: Sara, R Bajcsy, R Univ of Pennsylvania Philadelphia United States
We study occluding contour artifacts in area-based stereo matching: they are false responses of the matching operator to the occlusion boundary and cause the objects extend beyond their true boundaries in disparity ma... 详细信息
来源: 评论
DARTs: Efficient scale-space extraction of DAISY keypoints
DARTs: Efficient scale-space extraction of DAISY keypoints
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23rd ieee conference on computer vision and pattern recognition (cvpr)
作者: Marimon, David Bonnin, Arturo Adamek, Tomasz Gimeno, Roger Telefon Res & Dev Barcelona Spain
Winder et al. [15, 14] have recently shown the superiority of the DAISY descriptor [12] in comparison to other widely extended descriptors such as SIFT [8] and SURF [1]. Motivated by those results, we present a novel ... 详细信息
来源: 评论
Answer-Type Prediction for Visual Question Answering  29
Answer-Type Prediction for Visual Question Answering
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2016 ieee conference on computer vision and pattern recognition (cvpr)
作者: Kafle, Kushal Kanan, Christopher Rochester Inst Technol Chester F Carlson Ctr Imaging Sci Rochester NY 14623 USA
Recently, algorithms for object recognition and related tasks have become sufficiently proficient that new vision tasks can now be pursued. In this paper, we build a system capable of answering open-ended text-based q... 详细信息
来源: 评论
Residual Expansion Algorithm: Fast and Effective Optimization for Nonconvex Least Squares Problems  30
Residual Expansion Algorithm: Fast and Effective Optimizatio...
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30th ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Ikami, Daiki Yamasaki, Toshihiko Aizawa, Kiyoharu Univ Tokyo Tokyo Japan
We propose the residual expansion (RE) algorithm: a global (or near-global) optimization method for nonconvex least squares problems. Unlike most existing nonconvex optimization techniques, the RE algorithm is not bas... 详细信息
来源: 评论
PatchVAE: Learning Local Latent Codes for recognition
PatchVAE: Learning Local Latent Codes for Recognition
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Gupta, Kamal Singh, Saurabh Shrivastava, Abhinav Univ Maryland College Pk MD 20742 USA Google Res Mountain View CA USA
Unsupervised representation learning holds the promise of exploiting large amounts of unlabeled data to learn general representations. A promising technique for unsupervised learning is the framework of Variational Au... 详细信息
来源: 评论
Global Transport for Fluid Reconstruction with Learned Self-Supervision
Global Transport for Fluid Reconstruction with Learned Self-...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Franz, Erik Solenthaler, Barbara Thuerey, Nils Tech Univ Munich Munich Germany Swiss Fed Inst Technol Zurich Switzerland
We propose a novel method to reconstruct volumetric flows from sparse views via a global transport formulation. Instead of obtaining the space-time function of the observations, we reconstruct its motion based on a si... 详细信息
来源: 评论
Using physics-based invariant representations for the recognition of regions in multispectral satellite images
Using physics-based invariant representations for the recogn...
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1966 ieee computer Society conference on computer vision and pattern recognition
作者: Healey, G Jain, A UNIV CALIF IRVINE COMP VIS LABIRVINECA 92717
We present a set of algorithms and a search strategy for the robust content-based retrieval of multispectral satellite images. Since the property of interest in these images is usually the physical characteristics of ... 详细信息
来源: 评论