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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
Devon: Deformable Volume Network for Learning Optical Flow
Devon: Deformable Volume Network for Learning Optical Flow
Yao Lu
Jack Valmadre
Heng Wang
Arno Solin
Mehrtash Harandi
Philip Torr
3DPC
23
30
0
20 Feb 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Eddy Ilg
Özgün Çiçek
Silvio Galesso
Aaron Klein
Osama Makansi
Frank Hutter
Thomas Brox
UQCV
40
220
0
20 Feb 2018
Camera-based vehicle velocity estimation from monocular video
Camera-based vehicle velocity estimation from monocular video
Moritz Kampelmühler
M. Müller
Christoph Feichtenhofer
15
28
0
20 Feb 2018
Global Pose Estimation with an Attention-based Recurrent Network
Global Pose Estimation with an Attention-based Recurrent Network
Emilio Parisotto
Devendra Singh Chaplot
Jian Zhang
Ruslan Salakhutdinov
26
70
0
19 Feb 2018
BIRNet: Brain Image Registration Using Dual-Supervised Fully
  Convolutional Networks
BIRNet: Brain Image Registration Using Dual-Supervised Fully Convolutional Networks
Jingfan Fan
Xiaohuan Cao
P. Yap
Dinggang Shen
30
252
0
13 Feb 2018
Image-based Synthesis for Deep 3D Human Pose Estimation
Image-based Synthesis for Deep 3D Human Pose Estimation
Grégory Rogez
Cordelia Schmid
3DH
16
28
0
12 Feb 2018
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches
Tracking Noisy Targets: A Review of Recent Object Tracking Approaches
M. Fiaz
Arif Mahmood
Soon Ki Jung
AAML
29
49
0
09 Feb 2018
An Unsupervised Learning Model for Deformable Medical Image Registration
An Unsupervised Learning Model for Deformable Medical Image Registration
Guha Balakrishnan
Amy Zhao
M. Sabuncu
John Guttag
Adrian Dalca
26
626
0
07 Feb 2018
Scale-recurrent Network for Deep Image Deblurring
Scale-recurrent Network for Deep Image Deblurring
Xin Tao
Hongyun Gao
Yi Wang
Xiaoyong Shen
Jue Wang
Jiaya Jia
SupR
21
1,096
0
06 Feb 2018
Object Detection in Videos by High Quality Object Linking
Object Detection in Videos by High Quality Object Linking
Peng Tang
Chunyu Wang
Xinggang Wang
Wenyu Liu
Wenjun Zeng
Jingdong Wang
30
85
0
30 Jan 2018
What Makes Good Synthetic Training Data for Learning Disparity and
  Optical Flow Estimation?
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
N. Mayer
Eddy Ilg
Philipp Fischer
C. Hazirbas
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
OOD
26
213
0
19 Jan 2018
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Reblur2Deblur: Deblurring Videos via Self-Supervised Learning
Huaijin Chen
Liang Feng
Orazio Gallo
Ming Liu
Ashok Veeraraghavan
Jan Kautz
44
85
0
16 Jan 2018
Frame-Recurrent Video Super-Resolution
Frame-Recurrent Video Super-Resolution
Mehdi S. M. Sajjadi
Raviteja Vemulapalli
Matthew A. Brown
SupR
25
502
0
14 Jan 2018
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object
  Trackers
Meta-Tracker: Fast and Robust Online Adaptation for Visual Object Trackers
Eunbyung Park
Alexander C. Berg
VOT
TTA
38
166
0
09 Jan 2018
Object segmentation in depth maps with one user click and a
  synthetically trained fully convolutional network
Object segmentation in depth maps with one user click and a synthetically trained fully convolutional network
Matthieu Grard
Romain Brégier
Florian Sella
Emmanuel Dellandrea
Liming Chen
40
12
0
04 Jan 2018
Future Frame Prediction for Anomaly Detection -- A New Baseline
Future Frame Prediction for Anomaly Detection -- A New Baseline
Wen Liu
Weixin Luo
Dongze Lian
Shenghua Gao
3DH
30
1,062
0
28 Dec 2017
On the Integration of Optical Flow and Action Recognition
On the Integration of Optical Flow and Action Recognition
Laura Sevilla-Lara
Yiyi Liao
Fatma Guney
Varun Jampani
Andreas Geiger
Michael J. Black
27
192
0
22 Dec 2017
Recurrent Pixel Embedding for Instance Grouping
Recurrent Pixel Embedding for Instance Grouping
Shu Kong
Charless C. Fowlkes
32
180
0
22 Dec 2017
End-to-end weakly-supervised semantic alignment
End-to-end weakly-supervised semantic alignment
Ignacio Rocco
Relja Arandjelović
Josef Sivic
21
175
0
19 Dec 2017
Video Object Detection with an Aligned Spatial-Temporal Memory
Video Object Detection with an Aligned Spatial-Temporal Memory
Fanyi Xiao
Yong Jae Lee
49
189
0
18 Dec 2017
Impression Network for Video Object Detection
Impression Network for Video Object Detection
Congrui Hetang
Hongwei Qin
Shaohui Liu
Junjie Yan
ObjD
19
31
0
16 Dec 2017
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Im2Flow: Motion Hallucination from Static Images for Action Recognition
Ruohan Gao
Bo Xiong
Kristen Grauman
33
92
0
12 Dec 2017
Dense Optical Flow based Change Detection Network Robust to Difference
  of Camera Viewpoints
Dense Optical Flow based Change Detection Network Robust to Difference of Camera Viewpoints
Ken Sakurada
Weimin Wang
Nobuo Kawaguchi
Ryosuke Nakamura
3DPC
19
30
0
08 Dec 2017
Controllable Top-down Feature Transformer
Controllable Top-down Feature Transformer
Zhiwei Jia
Haoshen Hong
Siyang Wang
Kwonjoon Lee
Zhuowen Tu
ViT
22
2
0
06 Dec 2017
Self-supervised Learning of Motion Capture
Self-supervised Learning of Motion Capture
H. Tung
Hsiao-Wei Tung
Ersin Yumer
Katerina Fragkiadaki
3DH
36
321
0
04 Dec 2017
Learning to Segment Moving Objects
Learning to Segment Moving Objects
P. Tokmakov
Cordelia Schmid
Alahari Karteek
VOS
36
97
0
01 Dec 2017
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for
  Video Interpolation
Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
Huaizu Jiang
Deqing Sun
Varun Jampani
Ming-Hsuan Yang
Erik Learned-Miller
Jan Kautz
50
779
0
30 Nov 2017
An End-to-end 3D Convolutional Neural Network for Action Detection and
  Segmentation in Videos
An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos
Rui Hou
Chen Chen
M. Shah
MedIm
36
60
0
30 Nov 2017
Towards High Performance Video Object Detection
Towards High Performance Video Object Detection
Xizhou Zhu
Jifeng Dai
Lu Yuan
Yichen Wei
ObjD
28
243
0
30 Nov 2017
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
Deep Eyes: Binocular Depth-from-Focus on Focal Stack Pairs
Xinqing Guo
Zhaoyu Chen
Siyuan Li
Yang Yang
Jingyi Yu
MDE
16
7
0
29 Nov 2017
Appearance-and-Relation Networks for Video Classification
Appearance-and-Relation Networks for Video Classification
Limin Wang
Wei Li
Wen Li
Luc Van Gool
39
350
0
24 Nov 2017
Deep High Dynamic Range Imaging with Large Foreground Motions
Deep High Dynamic Range Imaging with Large Foreground Motions
Shangzhe Wu
Jiarui Xu
Yu-Wing Tai
Chi-Keung Tang
3DV
34
257
0
24 Nov 2017
Unsupervised End-to-end Learning for Deformable Medical Image
  Registration
Unsupervised End-to-end Learning for Deformable Medical Image Registration
Siyuan Shan
Wen Yan
Xiaoqing Guo
E. Chang
Yubo Fan
Yan Xu
MedIm
38
49
0
23 Nov 2017
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration
Dilated FCN for Multi-Agent 2D/3D Medical Image Registration
S. Miao
Sebastien Piat
P. Fischer
A. Tuysuzoglu
P. Mewes
Tommaso Mansi
Rui Liao
MedIm
27
102
0
22 Nov 2017
Deep Learning for Physical Processes: Incorporating Prior Scientific
  Knowledge
Deep Learning for Physical Processes: Incorporating Prior Scientific Knowledge
Emmanuel de Bézenac
Arthur Pajot
Patrick Gallinari
PINN
AI4CE
19
319
0
21 Nov 2017
SilNet : Single- and Multi-View Reconstruction by Learning from
  Silhouettes
SilNet : Single- and Multi-View Reconstruction by Learning from Silhouettes
Olivia Wiles
Andrew Zisserman
3DPC
17
97
0
21 Nov 2017
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional
  Census Loss
UnFlow: Unsupervised Learning of Optical Flow with a Bidirectional Census Loss
Simon Meister
Junhwa Hur
Stefan Roth
3DPC
37
575
0
21 Nov 2017
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative
  Adversarial Networks
Frame Interpolation with Multi-Scale Deep Loss Functions and Generative Adversarial Networks
Joost R. van Amersfoort
Wenzhe Shi
Alejandro Acosta
Francisco Massa
J. Totz
Zehan Wang
Jose Caballero
GAN
13
40
0
16 Nov 2017
Occlusion Aware Unsupervised Learning of Optical Flow
Occlusion Aware Unsupervised Learning of Optical Flow
Yang Wang
Yezhou Yang
Zhenheng Yang
Liang Zhao
Peng Wang
Wei Xu
SSL
30
308
0
16 Nov 2017
Fast Predictive Simple Geodesic Regression
Fast Predictive Simple Geodesic Regression
Zhipeng Ding
G. Fleishman
Xiao Yang
P. Thompson
Roland Kwitt
Marc Niethammer
3DH
20
16
0
15 Nov 2017
End-to-end Video-level Representation Learning for Action Recognition
End-to-end Video-level Representation Learning for Action Recognition
Jiagang Zhu
Wei Zou
Zheng Zhu
25
89
0
11 Nov 2017
Object Referring in Visual Scene with Spoken Language
Object Referring in Visual Scene with Spoken Language
A. Vasudevan
Dengxin Dai
Luc Van Gool
37
18
0
10 Nov 2017
Predicting Scene Parsing and Motion Dynamics in the Future
Predicting Scene Parsing and Motion Dynamics in the Future
Xiaojie Jin
Huaxin Xiao
Xiaohui Shen
Jimei Yang
Zhe Lin
Yunpeng Chen
Zequn Jie
Jiashi Feng
Shuicheng Yan
22
76
0
09 Nov 2017
End-to-end Flow Correlation Tracking with Spatial-temporal Attention
End-to-end Flow Correlation Tracking with Spatial-temporal Attention
Zheng Zhu
Wei Wu
Wei Zou
Junjie Yan
38
265
0
03 Nov 2017
Widening siamese architectures for stereo matching
Widening siamese architectures for stereo matching
P. Brandao
E. Mazomenos
Danail Stoyanov
3DV
23
23
0
01 Nov 2017
Deep Forward and Inverse Perceptual Models for Tracking and Prediction
Deep Forward and Inverse Perceptual Models for Tracking and Prediction
Alexander Lambert
Amirreza Shaban
Amit Raj
Ziqiang Liu
Byron Boots
35
17
0
31 Oct 2017
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth
  Neurosynaptic System
Spiking Optical Flow for Event-based Sensors Using IBM's TrueNorth Neurosynaptic System
G. Haessig
A. Cassidy
Rodrigo Alvarez
R. Benosman
Garrick Orchard
8
79
0
26 Oct 2017
Procedural Modeling and Physically Based Rendering for Synthetic Data
  Generation in Automotive Applications
Procedural Modeling and Physically Based Rendering for Synthetic Data Generation in Automotive Applications
Apostolia Tsirikoglou
J. Kronander
Magnus Wrenninge
Jonas Unger
3DV
38
78
0
17 Oct 2017
Single-image Tomography: 3D Volumes from 2D Cranial X-Rays
Single-image Tomography: 3D Volumes from 2D Cranial X-Rays
Philipp Henzler
V. Rasche
Timo Ropinski
Tobias Ritschel
MedIm
27
13
0
13 Oct 2017
Joint Image Filtering with Deep Convolutional Networks
Joint Image Filtering with Deep Convolutional Networks
Yijun Li
Jia-Bin Huang
Narendra Ahuja
Ming-Hsuan Yang
GAN
16
137
0
11 Oct 2017
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