DenseNet for Dense Flow

19 July 2017

Papers citing "DenseNet for Dense Flow"

19 / 19 papers shown

Title
Face processing emerges from object-trained convolutional neural networks Zhenhua Zhao Ji Chen Zhicheng Lin Haojiang Ying OOD CVBM 108 0 0 29 May 2024
Hidden Two-Stream Convolutional Networks for Action Recognition Yi Zhu Zhenzhong Lan Shawn D. Newsam Alexander G. Hauptmann 58 282 0 02 Apr 2017
Guided Optical Flow Learning Yi Zhu Zhenzhong Lan Shawn D. Newsam Alexander G. Hauptmann SSL 65 48 0 08 Feb 2017
Efficient Action Detection in Untrimmed Videos via Multi-Task Learning Yi Zhu Shawn D. Newsam 53 33 0 22 Dec 2016
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 255 3,081 0 06 Dec 2016
The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation S. Jégou M. Drozdzal David Vazquez Adriana Romero Yoshua Bengio SSeg 177 1,580 0 28 Nov 2016
Optical Flow Estimation using a Spatial Pyramid Network Anurag Ranjan Michael J. Black 3DPC 112 1,220 0 03 Nov 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency Clément Godard Oisin Mac Aodha Gabriel J. Brostow MDE 145 2,887 0 13 Sep 2016
Densely Connected Convolutional Networks Gao Huang Zhuang Liu Laurens van der Maaten Kilian Q. Weinberger PINN 3DV 775 36,861 0 25 Aug 2016
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness Jason J. Yu Adam W. Harley Konstantinos G. Derpanis 64 409 0 20 Aug 2016
Depth2Action: Exploring Embedded Depth for Large-Scale Action Recognition Yi Zhu Shawn D. Newsam 69 42 0 15 Aug 2016
Fast Optical Flow using Dense Inverse Search Till Kroeger Radu Timofte Dengxin Dai Luc Van Gool 80 346 0 11 Mar 2016
Unsupervised convolutional neural networks for motion estimation A. Ahmadi Ioannis Patras 56 102 0 22 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation N. Mayer Eddy Ilg Philip Häusser Philipp Fischer Daniel Cremers Alexey Dosovitskiy Thomas Brox 3DPC 64 2,648 0 07 Dec 2015
Deep End2End Voxel2Voxel Prediction Du Tran Lubomir D. Bourdev Rob Fergus Lorenzo Torresani Manohar Paluri 64 119 0 20 Nov 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 306 7,389 0 05 Jun 2015
FlowNet: Learning Optical Flow with Convolutional Networks Philipp Fischer Alexey Dosovitskiy Eddy Ilg Philip Häusser C. Hazirbas Vladimir Golkov Patrick van der Smagt Daniel Cremers Thomas Brox 3DPC 311 4,179 0 26 Apr 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,479 0 04 Sep 2014