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fast image processing with fully-convolutional networks qifeng chen∗ jia xu∗ vladlen koltun intel labs in p u t o u r re su lt l0 smoothing multiscale tone photographic…
deep fragment embeddings for bidirectional image sentence mapping andrej karpathy armand joulin li fei-fei department of computer science stanford university stanford ca…
high-resolution image classification with convolutional networkssubmitted on 11 dec 2017 hal is a multi-disciplinary open access archive for the deposit and dissemination
fully convolutional pixel adaptive image denoisersungmin cha1 and taesup moon1,2 1department of electrical and computer engineering, 2 department of artificial intelligence
this paper has been accepted and presented on 2018 fourth international conference on research in computational intelligence and communication networks. this is preprint
dissertation_ra_kha comparative study of machine learning frameworks rasmus airola kristoffer hager computer science convolutional neural networks rasmus airola and kristoffer
shuangshuang chen,1,2 huiyi liu,1 xiaoqin zeng,1 subin qian,1,2 jianjiang yu,2 andwei guo2 1 institute of intelligence science and technology, hohai university, no. 8 west
polarimetric convolutional network for polsar image classification xu liu, student member, ieee, licheng jiao, fellow, ieee, xu tang, member, ieee, qigong sun, student member,
detection methods [email protected], [email protected], [email protected], and [email protected] running head: deep learning application to seismic fault detection corresponding
food image recognition using deep convolutional network with pre-training and fine-tuning keiji yanai yoshiyuki kawano abstract in this paper, we examined the effectiveness
image denoising with deep convolutional neural networksaojia zhaostanford [email protected] denoising is a well studied problem in computervision,…
convolutional image captioning jyoti aneja∗, aditya deshpande∗, alexander g. schwing university of illinois at urbana-champaign {janeja2, ardeshp2, aschwing}@illinois.edu…
non-local color image denoising with convolutional neural networks stamatios lefkimmiatis skolkovo institute of science and technology skoltech moscow russia slefkimmiatis@skoltechru…
convolutional neural networks for automatic image colorization domonkos varga12 and tamás szirányi13 1 mta sztaki institute for computer science and control 2 budapest…
thermal image superresolution through deep convolutional neural network rafael e rivadeneira1b patricia l suárez1 angel d sappa12 and boris x vintimilla1 1 facultad de…
journal of latex class files, vol. 14, no. 8, august 2015 1 learning image-text embeddings with instance loss zhedong zheng, liang zheng, michael garrett, yi yang, mingliang
image style transfer using convolutional neural networks leon a. gatys centre for integrative neuroscience, university of tübingen, germany bernstein center for computational…
image inpainting via generative multi-column convolutional neural networks yi wang1 xin tao1,2 xiaojuan qi1 xiaoyong shen2 jiaya jia1,2 1the chinese university of hong kong…
intrinsic image decomposition using deep convolutional network hyeongseok son postech sonhs@postechackr seungyong lee postech leesy@postechackr abstract this paper proposes…
multi-label image recognition with graph convolutional networks∗ zhao-min chen12 xiu-shen wei2 peng wang3 yanwen guo1 1national key laboratory for novel software technology…