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Super-resolution
Results: 309

#	Item
11	Super-Resolution MIMO Radar Reinhard Heckel Department of Electrical Engineering and Computer Sciences UC Berkeley, Berkeley, CA May 10, 2016 Add to Reading List Source URL: www.reinhardheckel.com - Date: 2018-02-27 13:20:34
12	Super-Resolution Radar Reinhard Heckel∗†, Veniamin I. Morgenshtern‡, and Mahdi Soltanolkotabi§ November 2014; Revised November 2015 Abstract In this paper we study the identification of a time-varying linear syste Add to Reading List Source URL: www.reinhardheckel.com - Date: 2018-02-26 11:31:05
13	Deep Networks for Image Super-Resolution with Sparse Prior Zhaowen Wang†‡ Ding Liu† Jianchao Yang§ Wei Han† Thomas Huang† † Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL ‡ Adobe Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 14:59:52
14	Rolling Shutter Super-Resolution Abhijith Punnappurath, Vijay Rengarajan, and Rajagopalan A.N. Department of Electrical Engineering Indian Institute of Technology Madras, Chennai, India , {vijay.ap Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 15:02:59
15	Video Super-Resolution via Deep Draft-Ensemble Learning Renjie Liao† Xin Tao† Ruiyu Li† Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 15:03:10
16	Naive Bayes Super-Resolution Forest Jordi Salvador Eduardo P´erez-Pellitero Technicolor R&I Hannover {jordi.salvador,eduardo.perezpellitero}@technicolor.com Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 14:58:53
17	Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding Yongbo Li, Weisheng Dong, Guangming Shi, Xuemei Xie School of Electronic Engineering, Xidian University, Xi’an, Ch Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 15:01:00
18	Conditioned Regression Models for Non-Blind Single Image Super-Resolution Gernot Riegler Samuel Schulter Matthias R¨uther Add to Reading List Source URL: www.cv-foundation.org - Date: 2015-10-24 15:02:40
19	Real-Time Single Image and Video Super-Resolution Using an Efficient arXiv:1609.05158v2 [cs.CV] 23 Sep 2016 Sub-Pixel Convolutional Neural Network Wenzhe Shi1 , Jose Caballero1 , Ferenc Husz´ar1 , Johannes Totz1 , Andr Add to Reading List Source URL: arxiv.org - Date: 2016-09-25 20:34:58
20	Is the deconvolution layer the same as a convolutional layer? A note on RealTime Single Image and Video SuperResolution Add to Reading List Source URL: arxiv.org - Date: 2016-09-22 20:05:44

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