ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2110.06853
  4. Cited By
Attentive and Contrastive Learning for Joint Depth and Motion Field
  Estimation

Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation

13 October 2021
Seokju Lee
François Rameau
Fei Pan
In So Kweon
ArXivPDFHTML

Papers citing "Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation"

40 / 40 papers shown
Title
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection
  Consistency
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
Seokju Lee
Sunghoon Im
Stephen Lin
In So Kweon
3DV
MDE
47
89
0
04 Feb 2021
Attentional Separation-and-Aggregation Network for Self-supervised
  Depth-Pose Learning in Dynamic Scenes
Attentional Separation-and-Aggregation Network for Self-supervised Depth-Pose Learning in Dynamic Scenes
Feng Gao
Jincheng Yu
Hao Shen
Yu Wang
Huazhong Yang
3DPC
24
15
0
18 Nov 2020
Unsupervised Monocular Depth Learning in Dynamic Scenes
Unsupervised Monocular Depth Learning in Dynamic Scenes
Hanhan Li
A. Gordon
Hang Zhao
Vincent Casser
Angelova
MDE
92
135
0
30 Oct 2020
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
Igor Vasiljevic
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Sudeep Pillai
Wolfram Burgard
G. Shakhnarovich
Adrien Gaidon
SSL
MDE
40
23
0
15 Aug 2020
Kinematic 3D Object Detection in Monocular Video
Kinematic 3D Object Detection in Monocular Video
Garrick Brazil
Gerard Pons-Moll
Xiaoming Liu
Bernt Schiele
3DPC
43
173
0
19 Jul 2020
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object
  Problem by Semantic Guidance
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance
Marvin Klingner
Jan-Aike Termöhlen
Jonas Mikolajczyk
Tim Fingscheidt
MDE
102
320
0
14 Jul 2020
Self-Supervised Monocular Scene Flow Estimation
Self-Supervised Monocular Scene Flow Estimation
Junhwa Hur
Stefan Roth
3DPC
MDE
37
101
0
08 Apr 2020
Semantically-Guided Representation Learning for Self-Supervised
  Monocular Depth
Semantically-Guided Representation Learning for Self-Supervised Monocular Depth
Vitor Campagnolo Guizilini
Rui Hou
Jie Li
Rares Andrei Ambrus
Adrien Gaidon
SSL
MDE
76
229
0
27 Feb 2020
Instance-wise Depth and Motion Learning from Monocular Videos
Instance-wise Depth and Motion Learning from Monocular Videos
Seokju Lee
Sunghoon Im
Stephen Lin
In So Kweon
MDE
VGen
44
9
0
19 Dec 2019
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Scalability in Perception for Autonomous Driving: Waymo Open Dataset
Pei Sun
Henrik Kretzschmar
Xerxes Dotiwalla
Aurelien Chouard
Vijaysai Patnaik
...
Shuyang Cheng
Yu Zhang
Jonathon Shlens
Zhifeng Chen
Dragomir Anguelov
79
2,851
0
10 Dec 2019
Self-supervised Object Motion and Depth Estimation from Video
Self-supervised Object Motion and Depth Estimation from Video
Qi Dai
Vaishakh Patil
Simon Hecker
Dengxin Dai
Luc Van Gool
Konrad Schindler
MDE
34
43
0
09 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
261
42,038
0
03 Dec 2019
Learning Residual Flow as Dynamic Motion from Stereo Videos
Learning Residual Flow as Dynamic Motion from Stereo Videos
Seokju Lee
Sunghoon Im
Stephen Lin
In So Kweon
3DPC
47
18
0
16 Sep 2019
Unsupervised Scale-consistent Depth and Ego-motion Learning from
  Monocular Video
Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video
Jiawang Bian
Zhichao Li
Naiyan Wang
Huangying Zhan
Chunhua Shen
Ming-Ming Cheng
Ian Reid
MDE
60
505
0
28 Aug 2019
Self-supervised Learning with Geometric Constraints in Monocular Video:
  Connecting Flow, Depth, and Camera
Self-supervised Learning with Geometric Constraints in Monocular Video: Connecting Flow, Depth, and Camera
Yuhua Chen
Cordelia Schmid
C. Sminchisescu
SSL
MDE
48
244
0
12 Jul 2019
Unsupervised Monocular Depth and Ego-motion Learning with Structure and
  Semantics
Unsupervised Monocular Depth and Ego-motion Learning with Structure and Semantics
Vincent Casser
S. Pirk
R. Mahjourian
A. Angelova
MDE
59
103
0
12 Jun 2019
3D Packing for Self-Supervised Monocular Depth Estimation
3D Packing for Self-Supervised Monocular Depth Estimation
Vitor Campagnolo Guizilini
Rares Andrei Ambrus
Sudeep Pillai
Allan Raventos
Adrien Gaidon
SSL
3DPC
MDE
54
643
0
06 May 2019
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond
Yue Cao
Jiarui Xu
Stephen Lin
Fangyun Wei
Han Hu
ISeg
62
1,561
0
25 Apr 2019
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning
  from Unknown Cameras
Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras
A. Gordon
Hanhan Li
Rico Jonschkowski
A. Angelova
MDE
49
364
0
10 Apr 2019
Learning Independent Object Motion from Unlabelled Stereoscopic Videos
Learning Independent Object Motion from Unlabelled Stereoscopic Videos
Zhe Cao
Abhishek Kar
Christian Häne
Jitendra Malik
34
34
0
07 Jan 2019
Depth Prediction Without the Sensors: Leveraging Structure for
  Unsupervised Learning from Monocular Videos
Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised Learning from Monocular Videos
Vincent Casser
Soren Pirk
R. Mahjourian
A. Angelova
SSL
MDE
61
468
0
15 Nov 2018
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D
  Holistic Understanding
Every Pixel Counts ++: Joint Learning of Geometry and Motion with 3D Holistic Understanding
Chenxu Luo
Zhenheng Yang
Peng Wang
Yanjie Wang
Wenyuan Xu
Ram Nevatia
Alan Yuille
3DPC
38
287
0
14 Oct 2018
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity
  Estimation from Stereo Imagery
DispSegNet: Leveraging Semantics for End-to-End Learning of Disparity Estimation from Stereo Imagery
Junming Zhang
Katherine A. Skinner
Ram Vasudevan
Matthew Johnson-Roberson
43
54
0
13 Sep 2018
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task
  Consistency
DF-Net: Unsupervised Joint Learning of Depth and Flow using Cross-Task Consistency
Yuliang Zou
Zelun Luo
Jia-Bin Huang
MDE
58
472
0
05 Sep 2018
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera
  Motion, Optical Flow and Motion Segmentation
Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation
Anurag Ranjan
Varun Jampani
Lukas Balles
Kihwan Kim
Deqing Sun
Jonas Wulff
Michael J. Black
SSL
53
588
0
24 May 2018
LEGO: Learning Edge with Geometry all at Once by Watching Videos
LEGO: Learning Edge with Geometry all at Once by Watching Videos
Zhenheng Yang
Peng Wang
Yang Wang
Wenyuan Xu
Ram Nevatia
3DPC
SSL
46
189
0
15 Mar 2018
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera
  Pose
GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose
Zhichao Yin
Jianping Shi
MDE
32
1,136
0
06 Mar 2018
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using
  3D Geometric Constraints
Unsupervised Learning of Depth and Ego-Motion from Monocular Video Using 3D Geometric Constraints
R. Mahjourian
Martin Wicke
A. Angelova
MDE
87
727
0
15 Feb 2018
Learning Depth from Monocular Videos using Direct Methods
Learning Depth from Monocular Videos using Direct Methods
Chaoyang Wang
J. M. Buenaposada
Rui Zhu
Simon Lucey
MDE
82
580
0
01 Dec 2017
Learning Less is More - 6D Camera Localization via 3D Surface Regression
Learning Less is More - 6D Camera Localization via 3D Surface Regression
Eric Brachmann
Carsten Rother
3DV
42
379
0
28 Nov 2017
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
UnDeepVO: Monocular Visual Odometry through Unsupervised Deep Learning
Ruihao Li
Sen Wang
Zhiqiang Long
Dongbing Gu
MDE
51
511
0
20 Sep 2017
Unsupervised Learning of Depth and Ego-Motion from Video
Unsupervised Learning of Depth and Ego-Motion from Video
Tinghui Zhou
Matthew A. Brown
Noah Snavely
D. Lowe
MDE
103
2,564
0
25 Apr 2017
DSAC - Differentiable RANSAC for Camera Localization
DSAC - Differentiable RANSAC for Camera Localization
Eric Brachmann
Alexander Krull
Sebastian Nowozin
Jamie Shotton
Frank Michel
Stefan Gumhold
Carsten Rother
55
596
0
17 Nov 2016
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Clément Godard
Oisin Mac Aodha
Gabriel J. Brostow
MDE
104
2,875
0
13 Sep 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
669
11,540
0
06 Apr 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.4K
192,638
0
10 Dec 2015
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
ORB-SLAM: a Versatile and Accurate Monocular SLAM System
Raul Mur-Artal
José M.M. Montiel
Juan D. Tardós
63
6,364
0
03 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
813
149,474
0
22 Dec 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.1K
39,383
0
01 Sep 2014
Depth Map Prediction from a Single Image using a Multi-Scale Deep
  Network
Depth Map Prediction from a Single Image using a Multi-Scale Deep Network
David Eigen
Christian Puhrsch
Rob Fergus
MDE
3DPC
3DV
157
4,041
0
09 Jun 2014
1