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1504.06852
Cited By
FlowNet: Learning Optical Flow with Convolutional Networks
26 April 2015
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
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Papers citing
"FlowNet: Learning Optical Flow with Convolutional Networks"
50 / 1,735 papers shown
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Semantic Video Segmentation by Gated Recurrent Flow Propagation
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Globally Optimal Object Tracking with Fully Convolutional Networks
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AI4CE
SSL
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22 Dec 2016
Learning Motion Patterns in Videos
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Andrew J. Davison
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19
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Hybrid Learning of Optical Flow and Next Frame Prediction to Boost Optical Flow in the Wild
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Thomas Brox
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ActionFlowNet: Learning Motion Representation for Action Recognition
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J. Neumann
L. Davis
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Scene Flow Estimation: A Survey
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Xuezhi Xiang
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29
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DeMoN: Depth and Motion Network for Learning Monocular Stereo
Benjamin Ummenhofer
Huizhong Zhou
J. Uhrig
N. Mayer
Eddy Ilg
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Thomas Brox
3DV
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07 Dec 2016
Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring
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Tae Hyun Kim
Kyoung Mu Lee
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FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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Cognitive Deep Machine Can Train Itself
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M. Csákvári
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An Artificial Agent for Robust Image Registration
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30 Nov 2016
End-to-End Training of Hybrid CNN-CRF Models for Stereo
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Christian Reinbacher
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30 Nov 2016
InterpoNet, A brain inspired neural network for optical flow dense interpolation
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29 Nov 2016
Surveillance Video Parsing with Single Frame Supervision
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Changhu Wang
Ruihe Qian
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Renda Bao
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29 Nov 2016
3D Human Pose Estimation from a Single Image via Distance Matrix Regression
Francesc Moreno-Noguer
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29
391
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28 Nov 2016
Object Detection Free Instance Segmentation With Labeling Transformations
Long Jin
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Zhuowen Tu
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23
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Deep Video Deblurring
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M. Delbracio
Jue Wang
Guillermo Sapiro
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Oliver Wang
44
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25 Nov 2016
Geometric deep learning: going beyond Euclidean data
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Deep Feature Flow for Video Recognition
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Yuwen Xiong
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CAS-CNN: A Deep Convolutional Neural Network for Image Compression Artifact Suppression
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DeepVO: A Deep Learning approach for Monocular Visual Odometry
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Optical Flow Requires Multiple Strategies (but only one network)
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Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
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C. Ledig
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Alejandro Acosta
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Learning Detailed Face Reconstruction from a Single Image
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Optical Flow Estimation using a Spatial Pyramid Network
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Is the deconvolution layer the same as a convolutional layer?
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PixelNet: Towards a General Pixel-level Architecture
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0
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Geometry-Based Next Frame Prediction from Monocular Video
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Unsupervised Monocular Depth Estimation with Left-Right Consistency
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Fully-Trainable Deep Matching
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Dense Motion Estimation for Smoke
Da Chen
Wenbin Li
P. Hall
22
9
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STFCN: Spatio-Temporal FCN for Semantic Video Segmentation
Mohsen Fayyaz
M. H. Saffar
Mohammad Sabokrou
M. Fathy
Reinhard Klette
Fay Huang
11
56
0
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Back to Basics: Unsupervised Learning of Optical Flow via Brightness Constancy and Motion Smoothness
Jason J. Yu
Adam W. Harley
Konstantinos G. Derpanis
26
407
0
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Temporally Consistent Motion Segmentation from RGB-D Video
Peter Bertholet
A. Ichim
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VOS
11
6
0
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Clockwork Convnets for Video Semantic Segmentation
Evan Shelhamer
Kate Rakelly
Judy Hoffman
Trevor Darrell
37
199
0
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Playing for Data: Ground Truth from Computer Games
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Stefan Roth
V. Koltun
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6
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0
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CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss
C. Bailer
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Didier Stricker
19
63
0
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Fast Robust Monocular Depth Estimation for Obstacle Detection with Fully Convolutional Networks
Michele Mancini
G. Costante
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Thomas Alessandro Ciarfuglia
20
105
0
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