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FlowNet: Learning Optical Flow with Convolutional Networks

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
Title
SCNet: Learning Semantic Correspondence
SCNet: Learning Semantic Correspondence
Kai Han
Rafael Sampaio de Rezende
Bumsub Ham
Kwan-Yee K. Wong
Minsu Cho
Cordelia Schmid
Jean Ponce
18
150
0
11 May 2017
Large-scale, Fast and Accurate Shot Boundary Detection through
  Spatio-temporal Convolutional Neural Networks
Large-scale, Fast and Accurate Shot Boundary Detection through Spatio-temporal Convolutional Neural Networks
Ahmed Hassanien
Mohamed A. Elgharib
Ahmed A. S. Seleim
Sung-Ho Bae
M. Hefeeda
Wojciech Matusik
25
51
0
09 May 2017
Light Field Video Capture Using a Learning-Based Hybrid Imaging System
Light Field Video Capture Using a Learning-Based Hybrid Imaging System
Tingxian Wang
Jun-Yan Zhu
N. Kalantari
Alexei A. Efros
R. Ramamoorthi
16
125
0
08 May 2017
Unsupervised learning of object landmarks by factorized spatial
  embeddings
Unsupervised learning of object landmarks by factorized spatial embeddings
James Thewlis
Hakan Bilen
Andrea Vedaldi
OCL
SSL
17
161
0
05 May 2017
Characterizing and Improving Stability in Neural Style Transfer
Characterizing and Improving Stability in Neural Style Transfer
Agrim Gupta
Justin Johnson
Alexandre Alahi
Li Fei-Fei
24
118
0
05 May 2017
Generating Liquid Simulations with Deformation-aware Neural Networks
Generating Liquid Simulations with Deformation-aware Neural Networks
L. Prantl
Boris Bonev
N. Thürey
GAN
30
15
0
25 Apr 2017
SfM-Net: Learning of Structure and Motion from Video
SfM-Net: Learning of Structure and Motion from Video
Sudheendra Vijayanarasimhan
Susanna Ricco
Cordelia Schmid
Rahul Sukthankar
Katerina Fragkiadaki
MDE
14
440
0
25 Apr 2017
Accurate Optical Flow via Direct Cost Volume Processing
Accurate Optical Flow via Direct Cost Volume Processing
Jia Xu
René Ranftl
V. Koltun
18
237
0
24 Apr 2017
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
ScaleNet: Guiding Object Proposal Generation in Supermarkets and Beyond
Siyuan Qiao
Wei Shen
Weichao Qiu
Chenxi Liu
Alan Yuille
24
36
0
22 Apr 2017
Learn to Model Motion from Blurry Footages
Learn to Model Motion from Blurry Footages
Wenbin Li
Da Chen
Zhihan Lv
Yan Yan
Darren Cosker
11
0
0
19 Apr 2017
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of
  the Art
Computer Vision for Autonomous Vehicles: Problems, Datasets and State of the Art
J. Janai
Fatma Guney
Aseem Behl
Andreas Geiger
10
787
0
18 Apr 2017
Robust Optical Flow Estimation in Rainy Scenes
Robust Optical Flow Estimation in Rainy Scenes
Ruoteng Li
R. Tan
L. Cheong
21
10
0
18 Apr 2017
Joint Semantic and Motion Segmentation for dynamic scenes using Deep
  Convolutional Networks
Joint Semantic and Motion Segmentation for dynamic scenes using Deep Convolutional Networks
Nazrul Haque
Dinesh Reddy Narapureddy
K. M. Krishna
13
12
0
18 Apr 2017
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive
  Features For Semantic Matching
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching
David Novotny
Diane Larlus
Andrea Vedaldi
3DPC
31
65
0
16 Apr 2017
CBinfer: Change-Based Inference for Convolutional Neural Networks on
  Video Data
CBinfer: Change-Based Inference for Convolutional Neural Networks on Video Data
Lukas Cavigelli
Philippe Degen
Luca Benini
BDL
25
51
0
14 Apr 2017
Video Acceleration Magnification
Video Acceleration Magnification
Yichao Zhang
S. Pintea
Jan van Gemert
14
89
0
13 Apr 2017
Learning Proximal Operators: Using Denoising Networks for Regularizing
  Inverse Imaging Problems
Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
Tim Meinhardt
Michael Möller
C. Hazirbas
Daniel Cremers
25
356
0
11 Apr 2017
Detail-revealing Deep Video Super-resolution
Detail-revealing Deep Video Super-resolution
Xin Tao
Hongyun Gao
Renjie Liao
Jue Wang
Jiaya Jia
SupR
33
493
0
10 Apr 2017
Deep Depth From Focus
Deep Depth From Focus
C. Hazirbas
Sebastian Georg Soyer
Maximilian Christian Staab
Laura Leal-Taixé
Daniel Cremers
3DV
16
82
0
04 Apr 2017
OctNetFusion: Learning Depth Fusion from Data
OctNetFusion: Learning Depth Fusion from Data
Gernot Riegler
Ali O. Ulusoy
Horst Bischof
Andreas Geiger
3DPC
3DV
14
207
0
04 Apr 2017
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance
  for Action Classification and Detection
Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection
Mohammadreza Zolfaghari
Gabriel L. Oliveira
Nima Sedaghat
Thomas Brox
32
217
0
03 Apr 2017
Learning a Variational Network for Reconstruction of Accelerated MRI
  Data
Learning a Variational Network for Reconstruction of Accelerated MRI Data
Kerstin Hammernik
Teresa Klatzer
Erich Kobler
M. Recht
D. Sodickson
Thomas Pock
Florian Knoll
18
1,522
0
03 Apr 2017
Hidden Two-Stream Convolutional Networks for Action Recognition
Hidden Two-Stream Convolutional Networks for Action Recognition
Yi Zhu
Zhenzhong Lan
Shawn D. Newsam
Alexander G. Hauptmann
6
281
0
02 Apr 2017
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel
  Ground Truth using Stochastic Grammars
Configurable 3D Scene Synthesis and 2D Image Rendering with Per-Pixel Ground Truth using Stochastic Grammars
Chenfanfu Jiang
Siyuan Qi
Yixin Zhu
Siyuan Huang
Jenny Lin
L. Yu
Demetri Terzopoulos
Song-Chun Zhu
3DV
35
82
0
01 Apr 2017
Quicksilver: Fast Predictive Image Registration - a Deep Learning
  Approach
Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach
Xiao Yang
Roland Kwitt
Martin Styner
Marc Niethammer
19
589
0
31 Mar 2017
Fast Predictive Multimodal Image Registration
Fast Predictive Multimodal Image Registration
Xiao Yang
Roland Kwitt
Martin Styner
Marc Niethammer
3DH
23
28
0
31 Mar 2017
Semantic-driven Generation of Hyperlapse from $360^\circ$ Video
Semantic-driven Generation of Hyperlapse from 360∘360^\circ360∘ Video
Wei-Sheng Lai
Yujia Huang
Neel Joshi
Chris Buehler
Ming-Hsuan Yang
S. B. Kang
VGen
8
34
0
31 Mar 2017
Flow-Guided Feature Aggregation for Video Object Detection
Flow-Guided Feature Aggregation for Video Object Detection
Xizhou Zhu
Yujie Wang
Jifeng Dai
Lu Yuan
Yichen Wei
51
620
0
29 Mar 2017
Lucid Data Dreaming for Video Object Segmentation
Lucid Data Dreaming for Video Object Segmentation
Anna Khoreva
Rodrigo Benenson
Eddy Ilg
Thomas Brox
Bernt Schiele
VOS
34
38
0
28 Mar 2017
Octree Generating Networks: Efficient Convolutional Architectures for
  High-resolution 3D Outputs
Octree Generating Networks: Efficient Convolutional Architectures for High-resolution 3D Outputs
Maxim Tatarchenko
Alexey Dosovitskiy
Thomas Brox
3DV
22
738
0
28 Mar 2017
Coherent Online Video Style Transfer
Coherent Online Video Style Transfer
Dongdong Chen
Jing Liao
Lu Yuan
Nenghai Yu
G. Hua
38
284
0
27 Mar 2017
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D
  Cameras
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras
Lingni Ma
J. Stückler
C. Kerl
Daniel Cremers
19
148
0
26 Mar 2017
Predicting Deeper into the Future of Semantic Segmentation
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc
Natalia Neverova
Camille Couprie
Jakob Verbeek
Yann LeCun
23
242
0
22 Mar 2017
Video Frame Interpolation via Adaptive Convolution
Video Frame Interpolation via Adaptive Convolution
Simon Niklaus
Long Mai
Feng Liu
39
497
0
22 Mar 2017
Expecting the Unexpected: Training Detectors for Unusual Pedestrians
  with Adversarial Imposters
Expecting the Unexpected: Training Detectors for Unusual Pedestrians with Adversarial Imposters
Shiyu Huang
Deva Ramanan
14
53
0
18 Mar 2017
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Deciding How to Decide: Dynamic Routing in Artificial Neural Networks
Mason McGill
Pietro Perona
18
102
0
17 Mar 2017
Convolutional neural network architecture for geometric matching
Convolutional neural network architecture for geometric matching
Ignacio Rocco
Relja Arandjelović
Josef Sivic
16
540
0
16 Mar 2017
Transformation-Grounded Image Generation Network for Novel 3D View
  Synthesis
Transformation-Grounded Image Generation Network for Novel 3D View Synthesis
Eunbyung Park
Jimei Yang
Ersin Yumer
Duygu Ceylan
Alexander C. Berg
17
286
0
08 Mar 2017
Deep View Morphing
Deep View Morphing
Dinghuang Ji
Junghyun Kwon
Max McFarland
Silvio Savarese
GAN
30
20
0
07 Mar 2017
3D Shape Segmentation via Shape Fully Convolutional Networks
3D Shape Segmentation via Shape Fully Convolutional Networks
Pengyu Wang
Y. Gan
Panpan Shui
Fenggen Yu
Yan Zhang
Song-Le Chen
Zhengxing Sun
3DPC
20
86
0
28 Feb 2017
Understanding Convolution for Semantic Segmentation
Understanding Convolution for Semantic Segmentation
Panqu Wang
Pengfei Chen
Ye Yuan
Ding Liu
Zehua Huang
Xiaodi Hou
G. Cottrell
SSeg
30
1,676
0
27 Feb 2017
How hard is it to cross the room? -- Training (Recurrent) Neural
  Networks to steer a UAV
How hard is it to cross the room? -- Training (Recurrent) Neural Networks to steer a UAV
Klaas Kelchtermans
Tinne Tuytelaars
32
34
0
24 Feb 2017
PixelNet: Representation of the pixels, by the pixels, and for the
  pixels
PixelNet: Representation of the pixels, by the pixels, and for the pixels
Aayush Bansal
Xinlei Chen
Bryan C. Russell
Abhinav Gupta
Deva Ramanan
SSeg
29
120
0
21 Feb 2017
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Semi-Supervised Deep Learning for Monocular Depth Map Prediction
Yevhen Kuznietsov
J. Stückler
Bastian Leibe
MDE
SSL
21
668
0
09 Feb 2017
Video Frame Synthesis using Deep Voxel Flow
Video Frame Synthesis using Deep Voxel Flow
Ziwei Liu
Raymond A. Yeh
Xiaoou Tang
Yiming Liu
A. Agarwala
38
743
0
08 Feb 2017
Guided Optical Flow Learning
Guided Optical Flow Learning
Yi Zhu
Zhenzhong Lan
Shawn D. Newsam
Alexander G. Hauptmann
SSL
14
48
0
08 Feb 2017
Slice-to-volume medical image registration: a survey
Slice-to-volume medical image registration: a survey
Enzo Ferrante
Nikos Paragios
11
155
0
06 Feb 2017
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning
  Problem
VINet: Visual-Inertial Odometry as a Sequence-to-Sequence Learning Problem
R. Clark
Sen Wang
Hongkai Wen
Andrew Markham
A. Trigoni
19
348
0
29 Jan 2017
Plausible Shading Decomposition For Layered Photo Retouching
Plausible Shading Decomposition For Layered Photo Retouching
Carlo Innamorati
Tobias Ritschel
Tim Weyrich
Niloy J. Mitra
16
0
0
23 Jan 2017
FusionSeg: Learning to combine motion and appearance for fully automatic
  segmention of generic objects in videos
FusionSeg: Learning to combine motion and appearance for fully automatic segmention of generic objects in videos
Enis Berk Çoban
Bo Xiong
Michael I. Mandel
VOS
33
381
0
19 Jan 2017
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