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检索条件"任意字段=2016 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016"
21006 条 记 录,以下是4971-4980 订阅
排序:
Learning An Explicit Weighting Scheme for Adapting Complex HSI Noise
Learning An Explicit Weighting Scheme for Adapting Complex H...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Rui, Xiangyu Cao, Xiangyong Xie, Qi Yue, Zongsheng Zhao, Qian Meng, Deyu Xi An Jiao Tong Univ Xian Peoples R China Pazhou Lab Guangzhou Peoples R China
An efficient approach for handling hyperspectral image (HSI) denoising issue is to impose weights on different HSI pixels to suppress negative influence brought by noisy elements. Such weighting scheme, however, large... 详细信息
来源: 评论
Learning the viewpoint manifold for action recognition
Learning the viewpoint manifold for action recognition
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ieee conference on computer vision and pattern recognition
作者: Souvenir, Richard Babbs, Justin Univ N Carolina Dept Comp Sci Charlotte NC 28223 USA
Researchers are increasingly interested in providing video-based, view-invariant action recognition for human motion. Addressing this problem will lead to more accurate modeling and analysis of the type of unconstrain... 详细信息
来源: 评论
Strong-Weak Distribution Alignment for Adaptive Object Detection  32
Strong-Weak Distribution Alignment for Adaptive Object Detec...
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32nd ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Saito, Kuniaki Ushiku, Yoshitaka Harada, Tatsuya Saenko, Kate Boston Univ Boston MA 02215 USA Univ Tokyo Tokyo Japan RIKEN Tokyo Japan
We propose an approachfor unsupervised adaptation of object detectors from label-rich to label-poor domains which can significantly reduce annotation costs associated with detection. Recently, approaches that align di... 详细信息
来源: 评论
Layer-wise Searching for 1-bit Detectors
Layer-wise Searching for 1-bit Detectors
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Xu, Sheng Zhao, Junhe Lu, Jinhu Zhang, Baochang Han, Shumin Doermann, David Beihang Univ Sch Automat Sci & Elect Engn Beijing Peoples R China Beihang Univ State Key Lab Software Dev Environm Beijing Peoples R China Beihang Univ Beijing Adv Innovat Ctr Big Data & Brain Comp Beijing Peoples R China Shenzhen Acad Aerosp Technol Shenzhen Peoples R China Baidu Inc Dept Comp Vis Technol Beijing Peoples R China SUNY Buffalo Buffalo NY USA
1-bit detectors show great promise for resource-constrained embedded devices but often suffer from a significant performance gap compared with their real-valued counterparts. The primary reason lies in the error durin... 详细信息
来源: 评论
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval
StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retriev...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Sain, Aneeshan Bhunia, Ayan Kumar Yang, Yongxin Xiang, Tao Song, Yi-Zhe Univ Surrey CVSSP SketchX Guildford Surrey England iFlyTek Surrey Joint Res Ctr Artificial Intellige Guildford Surrey England
Sketch-based image retrieval (SBIR) is a cross-modal matching problem which is typically solved by learning a joint embedding space where the semantic content shared between photo and sketch modalities are preserved. ... 详细信息
来源: 评论
See through Gradients: Image Batch Recovery via GradInversion
See through Gradients: Image Batch Recovery via GradInversio...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Yin, Hongxu Mallya, Arun Vahdat, Arash Alvarez, Jose M. Kautz, Jan Molchanov, Pavlo NVIDIA Santa Clara CA 95051 USA
Training deep neural networks requires gradient estimation from data batches to update parameters. Gradients per parameter are averaged over a set of data and this has been presumed to be safe for privacy-preserving t... 详细信息
来源: 评论
Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation
Practical Stereo Matching via Cascaded Recurrent Network wit...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Li, Jiankun Wang, Peisen Xiong, Pengfei Cai, Tao Yan, Ziwei Yang, Lei Liu, Jiangyu Fan, Haoqiang Liu, Shuaicheng Megvii Res Beijing Peoples R China Tencent Shenzhen Peoples R China Univ Elect Sci & Technol China Chengdu Peoples R China
With the advent of convolutional neural networks, stereo matching algorithms have recently gained tremendous progress. However, it remains a great challenge to accurately extract disparities from real-world image pair... 详细信息
来源: 评论
Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation
Rethinking Depth Estimation for Multi-View Stereo: A Unified...
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ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Peng, Rui Wang, Rongjie Wang, Zhenyu Lai, Yawen Wang, Ronggang Peking Univ Sch Elect & Comp Engn Beijing Peoples R China Peng Cheng Lab Shenzhen Peoples R China
Depth estimation is solved as a regression or classification problem in existing learning-based multi-view stereo methods. Although these two representations have recently demonstrated their excellent performance, the... 详细信息
来源: 评论
vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments  31
Vision-and-Language Navigation: Interpreting visually-ground...
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31st ieee/CVF conference on computer vision and pattern recognition (cvpr)
作者: Anderson, Peter Wu, Qi Teney, Damien Bruce, Jake Johnson, Mark Sunderhauf, Niko Reid, Ian Gould, Stephen van den Hengel, Anton Australian Natl Univ Canberra ACT Australia Univ Adelaide Adelaide SA Australia Queensland Univ Technol Brisbane Qld Australia Macquarie Univ N Ryde NSW Australia
A robot that can carry out a natural-language instruction has been a dream since before the Jetsons cartoon series imagined a life of leisure mediated by a fleet of attentive robot helpers. It is a dream that remains ... 详细信息
来源: 评论
Facial expression recognition using encoded dynamic features
Facial expression recognition using encoded dynamic features
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ieee conference on computer vision and pattern recognition
作者: Yang, Peng Liu, Qingshan Cui, Xinyi Metaxas, Dimitris N. Rutgers State Univ Dept Comp Sci Piscataway NJ 08854 USA
In this paper, we propose a novel framework for video-based facial expression recognition, which can handle the data with various time resolution including a single frame. We first use the haar-like features to repres... 详细信息
来源: 评论