Conditional Prior Networks for Optical Flow

26 July 2018

Papers citing "Conditional Prior Networks for Optical Flow"

17 / 17 papers shown

Title
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss Simon Meister Junhwa Hur Stefan Roth 3DPC 92 581 0 21 Nov 2017
Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks Pratik Chaudhari Stefano Soatto MLT 86 304 0 30 Oct 2017
DenseNet for Dense Flow Yi Zhu Shawn D. Newsam 57 237 0 19 Jul 2017
Emergence of Invariance and Disentanglement in Deep Representations Alessandro Achille Stefano Soatto OOD DRL 117 477 0 05 Jun 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks Eddy Ilg N. Mayer Tonmoy Saikia Margret Keuper Alexey Dosovitskiy Thomas Brox 3DPC 266 3,083 0 06 Dec 2016
Optical Flow Estimation using a Spatial Pyramid Network Anurag Ranjan Michael J. Black 3DPC 125 1,221 0 03 Nov 2016
Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness Jason J. Yu Adam W. Harley Konstantinos G. Derpanis 74 410 0 20 Aug 2016
Inductive Bias of Deep Convolutional Networks through Pooling Geometry Nadav Cohen Amnon Shashua 84 134 0 22 May 2016
Full Flow: Optical Flow Estimation By Global Optimization over Regular Grids Qifeng Chen V. Koltun 87 191 0 12 Apr 2016
Fast Optical Flow using Dense Inverse Search Till Kroeger Radu Timofte Dengxin Dai Luc Van Gool 84 346 0 11 Mar 2016
Unsupervised convolutional neural networks for motion estimation A. Ahmadi Ioannis Patras 61 102 0 22 Jan 2016
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 72 2,649 0 07 Dec 2015
Flow Fields: Dense Correspondence Fields for Highly Accurate Large Displacement Optical Flow Estimation C. Bailer B. Taetz D. Stricker 53 216 0 21 Aug 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 349 4,181 0 26 Apr 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.1K 150,433 0 22 Dec 2014
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 486 16,916 0 20 Dec 2013
An Introduction to Conditional Random Fields Charles Sutton Andrew McCallum AI4CE BDL CML TPM 147 1,213 0 17 Nov 2010