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Computer Vision and Image Understanding, Volume 164
Volume 164, November 2017
- Ross B. Girshick, Iasonas Kokkinos, Ivan Laptev, Jitendra Malik, George Papandreou, Andrea Vedaldi, Xiaogang Wang
, Shuicheng Yan, Alan L. Yuille
Editorial- Deep Learning for Computer Vision. 1-2 - Ala Mhalla, Thierry Chateau, Houda Maâmatou, Sami Gazzah
SMC faster R-CNN: Toward a scene-specialized multi-object detector. 3-15 - Andrew Holliday, Mohammadamin Barekatain
Speedup of deep learning ensembles for semantic segmentation using a model compression technique. 16-26 - Tu Bui, Leonardo Sampaio Ferraz Ribeiro, Moacir Ponti
Compact descriptors for sketch-based image retrieval using a triplet loss convolutional neural network. 27-37 - Sergey Zagoruyko, Nikos Komodakis:
Deep compare: A study on using convolutional neural networks to compare image patches. 38-55 - Natalia Neverova, Christian Wolf, Florian Nebout, Graham W. Taylor:
Hand pose estimation through semi-supervised and weakly-supervised learning. 56-67 - Phong D. Vo, Alexandru-Lucian Gînsca, Hervé Le Borgne, Adrian Popescu:
Harnessing noisy Web images for deep representation. 68-81 - Philippe Pérez de San Roman, Jenny Benois-Pineau
Saliency Driven Object recognition in egocentric videos with deep CNN: toward application in assistance to Neuroprostheses. 82-91 - Fausto Milletari, Seyed-Ahmad Ahmadi
Hough-CNN: Deep learning for segmentation of deep brain regions in MRI and ultrasound. 92-102 - Munif Alotaibi
Improved gait recognition based on specialized deep convolutional neural network. 103-110 - Mohammad Haris Baig
Multiple hypothesis colorization and its application to image compression. 111-123 - Alberto Garcia-Garcia
A study of the effect of noise and occlusion on the accuracy of convolutional neural networks applied to 3D object recognition. 124-134
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