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检索条件"任意字段=Conference on Image Reconstruction from Incomplete Data V"
1582 条 记 录,以下是361-370 订阅
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A Method to Detect Subsurface Targets by Under-sampled Multifrequency data
A Method to Detect Subsurface Targets by Under-sampled Multi...
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European conference on Antennas and Propagation
作者: Adriana Brancaccio Giovanni Leone Raffaele Solimene Department of Engineering University of Campania ”Luigi Vanvitelli” Aversa Italy
Imaging buried objects embedded within electrically large investigation domains can require a large amount of measurement points. Thus, the need to reduce the number of spatial measurement points arises. Here, a metho... 详细信息
来源: 评论
DEEP NEURAL NETWORKS FOR NON-LINEAR MODEL-BASED ULTRASOUND reconstruction
DEEP NEURAL NETWORKS FOR NON-LINEAR MODEL-BASED ULTRASOUND R...
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IEEE Global conference on Signal and Information Processing (GlobalSIP)
作者: Almansouri, H. venkatakrishnan, S. v. Buzzard, G. T. Bouman, C. A. Santos-villalobos, H. Purdue Univ Sch Elect & Comp Engn W Lafayette IN 47907 USA Oak Ridge Natl Lab Imaging Signals & Machine Learning Grp Oak Ridge TN 37831 USA Purdue Univ Dept Math W Lafayette IN 47907 USA
Ultrasound reflection tomography is widely used to image large complex specimens that are only accessible from a single side, such as well systems and nuclear power plant containment walls. Typical methods for inverti... 详细信息
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Learning Non-volumetric Depth Fusion using Successive Reprojections
Learning Non-volumetric Depth Fusion using Successive Reproj...
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IEEE/CvF conference on Computer vision and Pattern Recognition
作者: Simon Donne Andreas Geiger Autonomous Vision Group MPI for Intelligent Systems and University of Tubingen
Given a set of input views, multi-view stereopsis techniques estimate depth maps to represent the 3D reconstruction of the scene;these are fused into a single, consistent, reconstruction - most often a point cloud. In... 详细信息
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Deep Reinforcement Learning of volume-guided Progressive view Inpainting for 3D Point Scene Completion from a Single Depth image
Deep Reinforcement Learning of Volume-guided Progressive Vie...
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IEEE/CvF conference on Computer vision and Pattern Recognition
作者: Xiaoguang Han Zhaoxuan Zhang Dong Du Mingdai Yang Jingming Yu Pan Pan Xin Yang Ligang Liu Zixiang Xiong Shuguang Cui CUHK (Shenzhen) DUT SRIBD Alibaba Group USTC TAMU
We present a deep reinforcement learning method of progressive view inpainting for 3D point scene completion under volume guidance, achieving high-quality scene reconstruction from only a single depth image with sever... 详细信息
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Multi-level Encoder-Decoder Architectures for image Restoration
Multi-level Encoder-Decoder Architectures for Image Restorat...
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IEEE/CvF conference on Computer vision and Pattern Recognition Workshops
作者: Indra Deep Mastan Shanmuganathan Raman Indian Institute of Technology Gandhinagar Gandhinagar
Many real-world solutions for image restoration are learning-free and based on handcrafted image priors such as self-similarity. Recently, deep-learning methods that use training data, have achieved state-of-the-art r... 详细信息
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Autoencoder Ensemble for Person Re-Identification
Autoencoder Ensemble for Person Re-Identification
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IEEE International conference on Multimedia Big data (BigMM)
作者: Kajal Kansal A.v. Subramanyam Department of Computer Science and Engineering Indraprastha Institute of Information Technology Delhi India
Person re-identification (re-id) aims to match people from non-overlapping multi-camera networks. Recently, with the advancement of deep learning techniques, the performance of re-id has been improved swiftly. However... 详细信息
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Can you tell a face from a HEvC bitstream?  1
Can you tell a face from a HEVC bitstream?
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1st IEEE conference on Multimedia Information Processing and Retrieval (MIPR)
作者: Alvar, Saeed Ranjbar Choi, Hyomin Bajic, Ivan v. Simon Fraser Univ Sch Engn Sci Burnaby BC Canada
image and video analytics are being increasingly used on a massive scale. Not only is the amount of data growing, but the complexity of the data processing pipelines is also increasing, thereby exacerbating the proble... 详细信息
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Douglas-Rachford Networks: Learning Both the image Prior and data Fidelity Terms for Blind image Deconvolution
Douglas-Rachford Networks: Learning Both the Image Prior and...
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IEEE/CvF conference on Computer vision and Pattern Recognition
作者: Raied Aljadaany Dipan K. Pal Marios Savvides Dept. of Electrical and Computer Engineering. Carnegie Mellon University
Blind deconvolution problems are heavily ill-posed where the specific blurring kernel is not known. Recovering these images typically requires estimates of the kernel. In this paper, we present a method called Dr-Net,... 详细信息
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Unsupervised Domain-Specific Deblurring via Disentangled Representations
Unsupervised Domain-Specific Deblurring via Disentangled Rep...
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IEEE/CvF conference on Computer vision and Pattern Recognition
作者: Boyu Lu Jun-Cheng Chen Rama Chellappa UMIACS University of Maryland
image deblurring aims to restore the latent sharp images from the corresponding blurred ones. In this paper, we present an unsupervised method for domain-specific, single-image deblurring based on disentangled represe... 详细信息
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Fingerprint image identification for crime detection  8
Fingerprint image identification for crime detection
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8th IEEE International conference on Communication and Signal Processing, ICCSP 2019
作者: Pavithra, R. Suresh, K.v. Siddaganga Institute of Technology Bengaluru India
Fingerprint images in crime scene are important clues to solve serial cases. In this paper we present a complete crime scene fingerprint identification system using deep machine learning with Convolutional Neural Netw... 详细信息
来源: 评论