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检索条件"任意字段=1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 1992"
6449 条 记 录,以下是1681-1690 订阅
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Deep canonical time warping
Deep canonical time warping
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Trigeorgis, George Nicolaou, Mihalis A. Zafeiriou, Stefanos Schuller, Björn W. Imperial College London United Kingdom Goldsmiths University of London United Kingdom Center for Machine Vision and Signal Analysis University of Oulu Finland
Machine learning algorithms for the analysis of timeseries often depend on the assumption that the utilised data are temporally aligned. Any temporal discrepancies arising in the data is certain to lead to ill-general... 详细信息
来源: 评论
Estimating correspondences of deformable objects "in-the-wild"
Estimating correspondences of deformable objects "in-the-wil...
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Zhou, Yuxiang Antonakos, Epameinondas Alabort-I-medina, Joan Roussos, Anastasios Zafeiriou, Stefanos Department of Computing Imperial College London United Kingdom Center for Machine Vision and Signal Analysis University of Oulu Finland
During the past few years we have witnessed the development of many methodologies for building and fitting Statistical Deformable Models (SDMs). The construction of accurate SDMs requires careful annotation of images ... 详细信息
来源: 评论
Face2Face: Real-time face capture and reenactment of RGB videos
Face2Face: Real-time face capture and reenactment of RGB vid...
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Thies, Justus Zollhöfer, Michael Stamminger, Marc Theobalt, Christian Nießner, Matthias University of Erlangen-Nuremberg Germany Max-Planck-Institute for Informatics Germany Stanford University United States
We present a novel approach for real-time facial reenactment of a monocular target video sequence (e.g., Youtube video). The source sequence is also a monocular video stream, captured live with a commodity webcam. Our... 详细信息
来源: 评论
6D dynamic camera relocalization from single reference image
6D dynamic camera relocalization from single reference image
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Feng, Wei Tian, Fei-Peng Zhang, Qian Sun, Jizhou School of Computer Science and Technology Tianjin University Tianjin China Tianjin Key Laboratory of Cognitive Computing and Application Tianjin University Tianjin China
Dynamic relocalization of 6D camera pose from single reference image is a costly and challenging task that requires delicate hand-eye calibration and precision positioning platform to do 3D mechanical rotation and tra... 详细信息
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Beyond local search: Tracking objects everywhere with instance-specific proposals
Beyond local search: Tracking objects everywhere with instan...
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Zhu, Gao Porikli, Fatih Li, Hongdong Australian National University Australia NICTA Australia ARC Centre of Excellence for Robotic Vision Australia
Most tracking-by-detection methods employ a local search window around the predicted object location in the current frame assuming the previous location is accurate, the trajectory is smooth, and the computational cap... 详细信息
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Volumetric 3D tracking by detection
Volumetric 3D tracking by detection
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Huang, Chun-Hao Allain, Benjamin Franco, Jean-Sébastien Navab, Nassir Ilic, Slobodan Boyer, Edmond Technische Universität München Germany Inria LJK Univ. Grenoble Alpes France
In this paper, we propose a new framework for 3D tracking by detection based on fully volumetric representations. On one hand, 3D tracking by detection has shown robust use in the context of interaction (Kinect) and s... 详细信息
来源: 评论
Hierarchically gated deep networks for semantic segmentation
Hierarchically gated deep networks for semantic segmentation
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Qi, Guo-Jun Department of Computer Science University of Central Florida United States
Semantic segmentation aims to parse the scene structure of images by annotating the labels to each pixel so that images can be segmented into different regions. While image structures usually have various scales, it i... 详细信息
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DCAN: Deep contour-aware networks for accurate gland segmentation
DCAN: Deep contour-aware networks for accurate gland segment...
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Chen, Hao Qi, Xiaojuan Yu, Lequan Heng, Pheng-Ann Department of Computer Science and Engineering Chinese University of Hong Kong Hong Kong
The morphology of glands has been used routinely by pathologists to assess the malignancy degree of adenocarcinomas. Accurate segmentation of glands from histology images is a crucial step to obtain reliable morpholog... 详细信息
来源: 评论
FANNG: Fast approximate nearest neighbour graphs
FANNG: Fast approximate nearest neighbour graphs
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Harwood, Ben Drummond, Tom Department of Electrical and Computer Systems Engineering Monash University VIC Australia
We present a new method for approximate nearest neighbour search on large datasets of high dimensional feature vectors, such as SIFT or GIST descriptors. Our approach constructs a directed graph that can be efficientl... 详细信息
来源: 评论
Multimodal spontaneous emotion corpus for human behavior analysis
Multimodal spontaneous emotion corpus for human behavior ana...
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2016 ieee conference on computer vision and pattern recognition, cvpr 2016
作者: Zhang, Zheng Girard, Jeffrey M. Wu, Yue Zhang, Xing Liu, Peng Ciftci, Umur Canavan, Shaun Reale, Michael Horowitz, Andrew Yang, Huiyuan Cohn, Jeffrey F. Ji, Qiang Yin, Lijun Binghamton University United States University of Pittsburgh United States Rensselaer Polytechnic Institute United States
Emotion is expressed in multiple modalities, yet most research has considered at most one or two. This stems in part from the lack of large, diverse, well-annotated, multimodal databases with which to develop and test... 详细信息
来源: 评论