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检索条件"任意字段=IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops"
12859 条 记 录,以下是4651-4660 订阅
Deep Graph Matching under Quadratic Constraint
Deep Graph Matching under Quadratic Constraint
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Gao, Quankai Wang, Fudong Xue, Nan Yu, Jin-Gang Xia, Gui-Song Wuhan Univ Wuhan Peoples R China South China Univ Technol Guangzhou Peoples R China
Recently, deep learning based methods have demonstrated promising results on the graph matching problem, by relying on the descriptive capability of deep features extracted on graph nodes. However, one main limitation... 详细信息
来源: 评论
Discriminative Appearance Modeling with Multi-track Pooling for Real-time Multi-object Tracking
Discriminative Appearance Modeling with Multi-track Pooling ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Kim, Chanho Li Fuxin Alotaibi, Mazen Rehg, James M. Georgia Inst Technol Atlanta GA 30332 USA Oregon State Univ Corvallis OR 97331 USA
In multi-object tracking, the tracker maintains in its memory the appearance and motion information for each object in the scene. This memory is utilized for finding matches between tracks and detections, and is updat... 详细信息
来源: 评论
Deep Burst Super-Resolution
Deep Burst Super-Resolution
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Bhat, Goutam Danelljan, Martin Van Gool, Luc Timofte, Radu Swiss Fed Inst Technol Comp Vis Lab Zurich Switzerland
While single-image super-resolution (SISR) has attracted substantial interest in recent years, the proposed approaches are limited to learning image priors in order to add high frequency details. In contrast, multi-fr... 详细信息
来源: 评论
Spherical Confidence Learning for Face recognition
Spherical Confidence Learning for Face Recognition
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Li, Shen Xu, Jianqing Xu, Xiaqing Shen, Pengcheng Li, Shaoxin Hooi, Bryan Natl Univ Singapore Inst Data Sci Singapore Singapore Tencent Youtu Lab Shenzhen Peoples R China Aibee Beijing Peoples R China
An emerging line of research has found that spherical spaces better match the underlying geometry of facial images, as evidenced by the state-of-the-art facial recognition methods which benefit empirically from spheri... 详细信息
来源: 评论
Self-supervised Motion Learning from Static Images
Self-supervised Motion Learning from Static Images
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Huang, Ziyuan Zhang, Shiwei Jiang, Jianwen Tang, Mingqian Jin, Rong Ang, Marcelo H., Jr. Natl Univ Singapore Singapore Singapore Alibaba Grp Hangzhou Peoples R China
Motions are reflected in videos as the movement of pixels, and actions are essentially patterns of inconsistent motions between the foreground and the background. To well distinguish the actions, especially those with... 详细信息
来源: 评论
Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks
Histopathological Image Classification with Cell Morphology ...
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ieee computer Society conference on computer vision and pattern recognition workshops (CVPRW)
作者: Andrey Ignatov Josephine Yates Valentina Boeva Computer Vision Lab ETH Zurich Computational Cancer Genomics Group
Histopathological images are widely used for the analysis of diseased (tumor) tissues and patient treatment selection. While the majority of microscopy image processing was previously done manually by pathologists, re... 详细信息
来源: 评论
EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images
EyePAD++: A Distillation-based approach for joint Eye Authen...
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2022 ieee/cvf conference on computer vision and pattern recognition, CVPR 2022
作者: Dhar, Prithviraj Kumar, Amit Kaplan, Kirsten Gupta, Khushi Ranjan, Rakesh Chellappa, Rama Johns Hopkins University United States Meta Reality Labs
A practical eye authentication (EA) system targeted for edge devices needs to perform authentication and be robust to presentation attacks, all while remaining compute and latency efficient. However, existing eye-base... 详细信息
来源: 评论
Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation
Encoding in Style: a StyleGAN Encoder for Image-to-Image Tra...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Richardson, Elad Alaluf, Yuval Patashnik, Or Nitzan, Yotam Azar, Yaniv Shapiro, Stav Cohen-Or, Daniel Penta AI Tel Aviv Israel Tel Aviv Univ Tel Aviv Israel
We present a generic image-to-image translation framework, pixel2style2pixel (pSp). Our pSp framework is based on a novel encoder network that directly generates a series of style vectors which are fed into a pretrain... 详细信息
来源: 评论
Self-supervised Video Representation Learning by Context and Motion Decoupling
Self-supervised Video Representation Learning by Context and...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Huang, Lianghua Liu, Yu Wang, Bin Pan, Pan Xu, Yinghui Jin, Rong Alibaba Grp Machine Intelligence Technol Lab Hangzhou Peoples R China
A key challenge in self-supervised video representation learning is how to effectively capture motion information besides context bias. While most existing works implicitly achieve this with video-specific pretext tas... 详细信息
来源: 评论
Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation
Heterogeneous Grid Convolution for Adaptive, Efficient, and ...
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ieee/cvf conference on computer vision and pattern recognition (CVPR)
作者: Hamaguchi, Ryuhei Furukawa, Yasutaka Onishi, Masaki Sakurada, Ken Natl Inst Adv Ind Sci & Technol Tokyo Japan Simon Fraser Univ Burnaby BC Canada
This paper proposes a novel heterogeneous grid convolution that builds a graph-based image representation by exploiting heterogeneity in the image content, enabling adaptive, efficient, and controllable computations i... 详细信息
来源: 评论