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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 / 1,738 papers shown
Title
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
Towards Better Generalization: Joint Depth-Pose Learning without PoseNet
Wang Zhao
Shaohui Liu
Yezhi Shu
Yong Liu
MDE
45
151
0
03 Apr 2020
Single Image Optical Flow Estimation with an Event Camera
Single Image Optical Flow Estimation with an Event Camera
Liyuan Pan
Miaomiao Liu
Richard I. Hartley
22
65
0
01 Apr 2020
Probabilistic Pixel-Adaptive Refinement Networks
Probabilistic Pixel-Adaptive Refinement Networks
Anne S. Wannenwetsch
Stefan Roth
28
14
0
31 Mar 2020
Distilled Semantics for Comprehensive Scene Understanding from Videos
Distilled Semantics for Comprehensive Scene Understanding from Videos
Fabio Tosi
Filippo Aleotti
Pierluigi Zama Ramirez
Matteo Poggi
Samuele Salti
Luigi Di Stefano
S. Mattoccia
MDE
19
76
0
31 Mar 2020
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into
  Compressed-Domain Knowledge
TapLab: A Fast Framework for Semantic Video Segmentation Tapping into Compressed-Domain Knowledge
Junyi Feng
Songyuan Li
Xi Li
Fei Wu
Qi Tian
Ming-Hsuan Yang
Haibin Ling
VOS
36
24
0
30 Mar 2020
Learning by Analogy: Reliable Supervision from Transformations for
  Unsupervised Optical Flow Estimation
Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation
Lu Liu
Jiangning Zhang
Ruifei He
Yong Liu
Yabiao Wang
Ying Tai
Donghao Luo
Chengjie Wang
Jilin Li
Feiyue Huang
30
175
0
29 Mar 2020
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation
  and Gauss-Newton Refinement
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement
Zehao Yu
Shenghua Gao
3DV
38
218
0
29 Mar 2020
Learning to Optimize Non-Rigid Tracking
Learning to Optimize Non-Rigid Tracking
Yongqian Li
Aljaz Bozic
Tianwei Zhang
Yanli Ji
Tatsuya Harada
Matthias Nießner
19
24
0
27 Mar 2020
Memory Enhanced Global-Local Aggregation for Video Object Detection
Memory Enhanced Global-Local Aggregation for Video Object Detection
Yihong Chen
Yue Cao
Han Hu
Liwei Wang
112
262
0
26 Mar 2020
Correspondence Networks with Adaptive Neighbourhood Consensus
Correspondence Networks with Adaptive Neighbourhood Consensus
Shuda Li
Kai Han
Theo W. Costain
Henry Howard-Jenkins
V. Prisacariu
3DV
16
84
0
26 Mar 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
140
2,564
0
26 Mar 2020
Know Your Surroundings: Exploiting Scene Information for Object Tracking
Know Your Surroundings: Exploiting Scene Information for Object Tracking
Goutam Bhat
Martin Danelljan
Luc Van Gool
Radu Timofte
35
314
0
24 Mar 2020
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask
Shengyu Zhao
Yilun Sheng
Yue Dong
E. Chang
Yan Xu
3DPC
12
210
0
24 Mar 2020
RN-VID: A Feature Fusion Architecture for Video Object Detection
RN-VID: A Feature Fusion Architecture for Video Object Detection
Hughes Perreault
Maguelonne Héritier
P. Gravel
Guillaume-Alexandre Bilodeau
Nicolas Saunier
ObjD
11
5
0
24 Mar 2020
FADNet: A Fast and Accurate Network for Disparity Estimation
FADNet: A Fast and Accurate Network for Disparity Estimation
Qiang-qiang Wang
Shaoshuai Shi
Shi-gang Zheng
Kaiyong Zhao
Xiaowen Chu
3DPC
27
79
0
24 Mar 2020
Video-based Person Re-Identification using Gated Convolutional Recurrent
  Neural Networks
Video-based Person Re-Identification using Gated Convolutional Recurrent Neural Networks
Yang Feng
Yu Wang
Jiebo Luo
18
0
0
21 Mar 2020
Reducing the Sim-to-Real Gap for Event Cameras
Reducing the Sim-to-Real Gap for Event Cameras
Timo Stoffregen
C. Scheerlinck
Davide Scaramuzza
Tom Drummond
Nick Barnes
L. Kleeman
Robert E. Mahony
26
7
0
20 Mar 2020
Multi-View Optimization of Local Feature Geometry
Multi-View Optimization of Local Feature Geometry
Mihai Dusmanu
Johannes L. Schonberger
Marc Pollefeys
55
37
0
18 Mar 2020
Collaborative Video Object Segmentation by Foreground-Background
  Integration
Collaborative Video Object Segmentation by Foreground-Background Integration
Zongxin Yang
Yunchao Wei
Yi Yang
VOS
31
249
0
18 Mar 2020
Neural Mesh Refiner for 6-DoF Pose Estimation
Neural Mesh Refiner for 6-DoF Pose Estimation
Di Wu
Yihao Chen
Xianbiao Qi
Yongjian Yu
W. Chen
Rong Xiao
3DH
24
0
0
17 Mar 2020
G-LBM:Generative Low-dimensional Background Model Estimation from Video
  Sequences
G-LBM:Generative Low-dimensional Background Model Estimation from Video Sequences
B. Rezaei
Amirreza Farnoosh
Sarah Ostadabbas
37
10
0
16 Mar 2020
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving
  Based on Bird's Eye View Maps
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps
Pengxiang Wu
Siheng Chen
Dimitris N. Metaxas
3DPC
14
154
0
15 Mar 2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
Patrick Knöbelreiter
Christian Sormann
Alexander Shekhovtsov
Friedrich Fraundorfer
Thomas Pock
38
22
0
13 Mar 2020
AirSim Drone Racing Lab
AirSim Drone Racing Lab
Ratnesh Madaan
N. Gyde
Sai H. Vemprala
Matthew Brown
Keiko Nagami
Tim Taubner
E. Cristofalo
Davide Scaramuzza
Mac Schwager
Ashish Kapoor
19
74
0
12 Mar 2020
Softmax Splatting for Video Frame Interpolation
Softmax Splatting for Video Frame Interpolation
Simon Niklaus
Feng Liu
45
380
0
11 Mar 2020
Building and Interpreting Deep Similarity Models
Building and Interpreting Deep Similarity Models
Oliver Eberle
Jochen Büttner
Florian Kräutli
K. Müller
Matteo Valleriani
G. Montavon
28
57
0
11 Mar 2020
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation
Hanchao Yu
Shanhui Sun
Haichao Yu
Xiao Chen
Humphrey Shi
Thomas Huang
Terrence Chen
45
45
0
10 Mar 2020
Learning View and Target Invariant Visual Servoing for Navigation
Learning View and Target Invariant Visual Servoing for Navigation
Yimeng Li
Jana Kosecka
SSL
19
19
0
04 Mar 2020
Occlusion Aware Unsupervised Learning of Optical Flow From Video
Occlusion Aware Unsupervised Learning of Optical Flow From Video
Jianfeng Li
Junqiao Zhao
T. Feng
Chen Ye
Lu Xiong
31
11
0
04 Mar 2020
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual
  Odometry
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
Nan Yang
Lukas von Stumberg
Rui Wang
Daniel Cremers
MDE
35
372
0
02 Mar 2020
Plug & Play Convolutional Regression Tracker for Video Object Detection
Plug & Play Convolutional Regression Tracker for Video Object Detection
Ye Lyu
M. Yang
G. Vosselman
Guisong Xia
ObjD
37
2
0
02 Mar 2020
Learning to Deblur and Generate High Frame Rate Video with an Event
  Camera
Learning to Deblur and Generate High Frame Rate Video with an Event Camera
Haoyu Chen
Minggui Teng
Boxin Shi
Wang YIzhou
Huang Tiejun
32
41
0
02 Mar 2020
Learning Depth With Very Sparse Supervision
Learning Depth With Very Sparse Supervision
Antonio Loquercio
Alexey Dosovitskiy
Davide Scaramuzza
3DV
MDE
14
0
0
02 Mar 2020
Deep Image Spatial Transformation for Person Image Generation
Deep Image Spatial Transformation for Person Image Generation
Yurui Ren
Xiaoming Yu
Junming Chen
Thomas H. Li
Ge Li
3DH
3DPC
25
175
0
02 Mar 2020
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real
  Domain Shift and Improve Depth Estimation
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation
Yunhan Zhao
Shu Kong
Daeyun Shin
Charless C. Fowlkes
MDE
20
44
0
27 Feb 2020
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level
  Optimization
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
Shihao Jiang
Dylan Campbell
Miaomiao Liu
Stephen Gould
Richard I. Hartley
MDE
22
9
0
26 Feb 2020
PointTrackNet: An End-to-End Network For 3-D Object Detection and
  Tracking From Point Clouds
PointTrackNet: An End-to-End Network For 3-D Object Detection and Tracking From Point Clouds
Sukai Wang
Yuxiang Sun
Chengju Liu
Ming Liu
VOT
3DPC
28
53
0
26 Feb 2020
ScopeFlow: Dynamic Scene Scoping for Optical Flow
ScopeFlow: Dynamic Scene Scoping for Optical Flow
Aviram Bar-Haim
Lior Wolf
30
49
0
25 Feb 2020
Semantic Flow for Fast and Accurate Scene Parsing
Semantic Flow for Fast and Accurate Scene Parsing
Xiangtai Li
Ansheng You
Zhen Zhu
Houlong Zhao
Maoke Yang
Kuiyuan Yang
Yunhai Tong
SSeg
30
354
0
24 Feb 2020
Comparing recurrent and convolutional neural networks for predicting
  wave propagation
Comparing recurrent and convolutional neural networks for predicting wave propagation
Stathi Fotiadis
E. Pignatelli
Mario Lino Valencia
C. Cantwell
Amos Storkey
Anil A. Bharath
25
37
0
20 Feb 2020
V4D:4D Convolutional Neural Networks for Video-level Representation
  Learning
V4D:4D Convolutional Neural Networks for Video-level Representation Learning
Shiwen Zhang
Sheng Guo
Weilin Huang
Matthew R. Scott
Limin Wang
21
70
0
18 Feb 2020
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame
  Attention
MILA: Multi-Task Learning from Videos via Efficient Inter-Frame Attention
Donghyun Kim
Tian-Shing Lan
Chuhang Zou
N. Xu
Bryan A. Plummer
Stan Sclaroff
J. Eledath
Gérard Medioni
14
3
0
18 Feb 2020
On the Sensory Commutativity of Action Sequences for Embodied Agents
On the Sensory Commutativity of Action Sequences for Embodied Agents
Hugo Caselles-Dupré
Michael Garcia Ortiz
David Filliat
21
4
0
13 Feb 2020
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
Self-Supervised Object-in-Gripper Segmentation from Robotic Motions
W. Boerdijk
M. Sundermeyer
M. Durner
Rudolph Triebel
30
8
0
11 Feb 2020
Medical Image Registration Using Deep Neural Networks: A Comprehensive
  Review
Medical Image Registration Using Deep Neural Networks: A Comprehensive Review
H. R. Boveiri
R. Khayami
R. Javidan
A. MehdiZadeh
117
135
0
09 Feb 2020
Differentiable Forward and Backward Fixed-Point Iteration Layers
Differentiable Forward and Backward Fixed-Point Iteration Layers
Younahan Jeon
Minsik Lee
J. Choi
11
1
0
07 Feb 2020
Adversarially Robust Frame Sampling with Bounded Irregularities
Adversarially Robust Frame Sampling with Bounded Irregularities
Hanhan Li
Pin Wang
AAML
6
0
0
04 Feb 2020
Inter-slice image augmentation based on frame interpolation for boosting
  medical image segmentation accuracy
Inter-slice image augmentation based on frame interpolation for boosting medical image segmentation accuracy
Zhaotao Wu
Jia Wei
Wenguang Yuan
Jiabing Wang
Tolga Tasdizen
MedIm
21
10
0
31 Jan 2020
Fast Video Object Segmentation using the Global Context Module
Fast Video Object Segmentation using the Global Context Module
Yu Li
Zhuoran Shen
Ying Shan
VOS
19
111
0
30 Jan 2020
Gun Source and Muzzle Head Detection
Gun Source and Muzzle Head Detection
Zhong Zhou
I. C. Etinger
Florian Metze
Alexander G. Hauptmann
Alexander Waibel
14
2
0
29 Jan 2020
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