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检索条件"任意字段=31st Meeting of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018"
320 条 记 录,以下是31-40 订阅
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Deep Diffeomorphic Transformer Networks  31
Deep Diffeomorphic Transformer Networks
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Detlefsen, Nicki Skafte Freifeld, Oren Hauberg, Soren Tech Univ Denmark Lyngby Denmark Ben Gurion Univ Negev Beer Sheva Israel
Spatial Transformer layers allow neural networks, at least in principle, to be invariant to large spatial transformations in image data. The model has, however, seen limited uptake as most practical implementations su... 详细信息
来源: 评论
Attentional ShapeContextNet for Point Cloud recognition  31
Attentional ShapeContextNet for Point Cloud Recognition
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Xie, Saining Liu, Sainan Chen, Zeyu Tu, Zhuowen Univ Calif San Diego La Jolla CA 92093 USA
We tackle the problem of point cloud recognition. Unlike previous approaches where a point cloud is either converted into a volume/image or represented independently in a permutation-invariant set, we develop a new re... 详细信息
来源: 评论
Rethinking the Faster R-CNN Architecture for Temporal Action Localization  31
Rethinking the Faster R-CNN Architecture for Temporal Action...
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Chao, Yu-Wei Vijayanarasimhan, Sudheendra Seybold, Bryan Ross, David A. Deng, Jia Sukthankar, Rahul Univ Michigan Ann Arbor MI 48109 USA Google Res Pasadena CA USA
We propose TAL-Net, an improved approach to temporal action localization in video that is inspired by the Faster R-CNN object detection framework. TAL-Net addresses three key shortcomings of existing approaches: (1) w... 详细信息
来源: 评论
Deformable GANs for Pose-based Human Image Generation  31
Deformable GANs for Pose-based Human Image Generation
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Siarohin, Aliaksandr Sangineto, Enver Lathuiliere, stephane Sebe, Nicu Univ Trento DISI Trento Italy Inria Grenoble Rhone Alpes Montbonnot St Martin France
In this paper we address the problem of generating person images conditioned on a given pose. Specifically, given an image of a person and a target pose, we synthesize a new image of that person in the novel pose. In ... 详细信息
来源: 评论
Aperture Supervision for Monocular Depth Estimation  31
Aperture Supervision for Monocular Depth Estimation
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Srinivasan, Pratul P. Garg, Rahul Wadhwa, Neal Ng, Ren Barron, Jonathan T. Univ Calif Berkeley Berkeley CA 94720 USA Google Res Mountain View CA USA
We present a novel method to train machine learning algorithms to estimate scene depths from a single image, by using the information provided by a camera's aperture as supervision. Prior works use a depth sensor&... 详细信息
来源: 评论
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place recognition  31
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Sca...
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Uy, Mikaela Angelina Lee, Gim Hee Natl Univ Singapore Dept Comp Sci Singapore Singapore
Unlike its image based counterpart, point cloud based retrieval for place recognition has remained as an unexplored and unsolved problem. This is largely due to the difficulty in extracting local feature descriptors f... 详细信息
来源: 评论
Blind Predicting Similar Quality Map for Image Quality Assessment  31
Blind Predicting Similar Quality Map for Image Quality Asses...
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Pan, Da Shi, Ping Hou, Ming Ying, Zefeng Fu, Sizhe Zhang, Yuan Commun Univ China 1 Dingfuzhuang East St Chaoyang Dist Beijing Peoples R China
A key problem in blind image quality assessment (BIQA) is how to effectively model the properties of human visual system in a data-driven manner. In this paper, we propose a simple and efficient BIQA model based on a ... 详细信息
来源: 评论
A Closer Look at Spatiotemporal Convolutions for Action recognition  31
A Closer Look at Spatiotemporal Convolutions for Action Reco...
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Tran, Du Wang, Heng Torresani, Lorenzo Ray, Jamie LeCun, Yann Paluri, Manohar Facebook Res Menlo Pk CA 94025 USA Dartmouth Coll Hanover NH 03755 USA
In this paper we discuss several forms of spatiotemporal convolutions for video analysis and study their effects on action recognition. Our motivation stems from the observation that 2D CNNs applied to individual fram... 详细信息
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Object Referring in Videos with Language and Human Gaze  31
Object Referring in Videos with Language and Human Gaze
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Vasudevan, Arun Balajee Dai, Dengxin Van Gool, Luc Swiss Fed Inst Technol Zurich Switzerland Katholieke Univ Leuven Leuven Belgium
We investigate the problem of object referring (OR) i.e. to localize a target object in a visual scene coming with a language description. Humans perceive the world more as continued video snippets than as static imag... 详细信息
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Unsupervised Correlation Analysis  31
Unsupervised Correlation Analysis
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31st ieee/cvf conference on computer vision and pattern recognition (cvpr)
作者: Hoshen, Yedid Wolf, Lior Facebook AI Res Menlo Pk CA 94025 USA Tel Aviv Univ Tel Aviv Israel
Linking between two data sources is a basic building block in numerous computer vision problems. In this paper, we set to answer a fundamental cognitive question: are prior correspondences necessary for linking betwee... 详细信息
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