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Learning to See by Moving
v1v2 (latest)

Learning to See by Moving

7 May 2015
Pulkit Agrawal
João Carreira
Jitendra Malik
    SSL
ArXiv (abs)PDFHTML

Papers citing "Learning to See by Moving"

50 / 326 papers shown
Learning to Communicate and Correct Pose Errors
Learning to Communicate and Correct Pose Errors
Nicholas Vadivelu
Mengye Ren
James Tu
Jingkang Wang
R. Urtasun
211
79
0
10 Nov 2020
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene
  Representations
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations
Mihir Prabhudesai
Shamit Lal
H. Tung
Adam W. Harley
Shubhankar Potdar
Katerina Fragkiadaki
3DPC
219
2
0
30 Oct 2020
Combining Self-Training and Self-Supervised Learning for Unsupervised
  Disfluency Detection
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency DetectionConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Shaolei Wang
Zhongyuan Wang
Wanxiang Che
Ting Liu
SSL
106
17
0
29 Oct 2020
Contrastive Learning with Adversarial Examples
Contrastive Learning with Adversarial Examples
Chih-Hui Ho
Nuno Vasconcelos
SSL
180
159
0
22 Oct 2020
Self-supervised Co-training for Video Representation Learning
Self-supervised Co-training for Video Representation LearningNeural Information Processing Systems (NeurIPS), 2020
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
483
368
0
19 Oct 2020
Unsupervised Foveal Vision Neural Networks with Top-Down Attention
Unsupervised Foveal Vision Neural Networks with Top-Down Attention
Ryan Burt
Nina N. Thigpen
A. Keil
José C. Príncipe
185
3
0
18 Oct 2020
What Can You Learn from Your Muscles? Learning Visual Representation
  from Human Interactions
What Can You Learn from Your Muscles? Learning Visual Representation from Human InteractionsInternational Conference on Learning Representations (ICLR), 2020
Kiana Ehsani
Daniel Gordon
T. Nguyen
Roozbeh Mottaghi
Ali Farhadi
3DHSSL
194
3
0
16 Oct 2020
MixCo: Mix-up Contrastive Learning for Visual Representation
MixCo: Mix-up Contrastive Learning for Visual Representation
Sungnyun Kim
Gihun Lee
Sangmin Bae
Seyoung Yun
SSL
390
90
0
13 Oct 2020
Monocular Rotational Odometry with Incremental Rotation Averaging and
  Loop Closure
Monocular Rotational Odometry with Incremental Rotation Averaging and Loop ClosureInternational Conference on Digital Image Computing: Techniques and Applications (DICTA), 2020
Chee-Kheng Chng
Álvaro Parra
Tat-Jun Chin
Yasir Latif
100
14
0
05 Oct 2020
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner
  Filters
Tied Block Convolution: Leaner and Better CNNs with Shared Thinner FiltersAAAI Conference on Artificial Intelligence (AAAI), 2020
Xudong Wang
Stella X. Yu
160
46
0
25 Sep 2020
Completely Self-Supervised Crowd Counting via Distribution Matching
Completely Self-Supervised Crowd Counting via Distribution MatchingEuropean Conference on Computer Vision (ECCV), 2020
Deepak Babu Sam
Abhinav Agarwalla
Jimmy Joseph
Vishwanath A. Sindagi
R. Venkatesh Babu
Vishal M. Patel
SSL
198
38
0
14 Sep 2020
A Framework For Contrastive Self-Supervised Learning And Designing A New
  Approach
A Framework For Contrastive Self-Supervised Learning And Designing A New Approach
William Falcon
Dong Wang
SSL
165
110
0
31 Aug 2020
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
Adam W. Harley
S. K. Lakshmikanth
Paul Schydlo
Katerina Fragkiadaki
3DPC
234
9
0
04 Aug 2020
Memory-augmented Dense Predictive Coding for Video Representation
  Learning
Memory-augmented Dense Predictive Coding for Video Representation Learning
Tengda Han
Weidi Xie
Andrew Zisserman
SSL
310
256
0
03 Aug 2020
SeCo: Exploring Sequence Supervision for Unsupervised Representation
  Learning
SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
Ting Yao
Yiheng Zhang
Zhaofan Qiu
Yingwei Pan
Tao Mei
DRL
237
116
0
03 Aug 2020
Deep Visual Odometry with Adaptive Memory
Deep Visual Odometry with Adaptive MemoryIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Fei Xue
Xin Wang
Junqiu Wang
H. Zha
109
17
0
02 Aug 2020
Self-supervised Learning of Point Clouds via Orientation Estimation
Self-supervised Learning of Point Clouds via Orientation EstimationInternational Conference on 3D Vision (3DV), 2020
Omid Poursaeed
Tianxing Jiang
Quintessa Qiao
N. Xu
Vladimir G. Kim
3DPCSSL
252
140
0
01 Aug 2020
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D
  Vehicle Detector
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector
Cédric Picron
Punarjay Chakravarty
Tom Roussel
Tinne Tuytelaars
168
0
0
29 Jul 2020
WGANVO: Monocular Visual Odometry based on Generative Adversarial
  Networks
WGANVO: Monocular Visual Odometry based on Generative Adversarial Networks
Javier Cremona
Lucas C. Uzal
Taihú Pire
GAN
99
7
0
27 Jul 2020
Video Representation Learning by Recognizing Temporal Transformations
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni
Givi Meishvili
Paolo Favaro
408
142
0
21 Jul 2020
Aligning Videos in Space and Time
Aligning Videos in Space and TimeEuropean Conference on Computer Vision (ECCV), 2020
Senthil Purushwalkam
Tian-Chun Ye
Saurabh Gupta
Abhinav Gupta
166
24
0
09 Jul 2020
Space-Time Correspondence as a Contrastive Random Walk
Space-Time Correspondence as a Contrastive Random Walk
Allan Jabri
Andrew Owens
Alexei A. Efros
SSLOT
368
332
0
25 Jun 2020
Unsupervised Learning of Visual Features by Contrasting Cluster
  Assignments
Unsupervised Learning of Visual Features by Contrasting Cluster Assignments
Mathilde Caron
Ishan Misra
Julien Mairal
Priya Goyal
Piotr Bojanowski
Armand Joulin
OCLSSL
1.2K
4,664
0
17 Jun 2020
Self-supervised Learning from a Multi-view Perspective
Self-supervised Learning from a Multi-view Perspective
Yifan Hao
Yue Wu
Ruslan Salakhutdinov
Louis-Philippe Morency
SSL
242
30
0
10 Jun 2020
Neural Methods for Point-wise Dependency Estimation
Neural Methods for Point-wise Dependency EstimationNeural Information Processing Systems (NeurIPS), 2020
Yifan Hao
Han Zhao
M. Yamada
Louis-Philippe Morency
Ruslan Salakhutdinov
264
36
0
09 Jun 2020
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement
  and Data Generation
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation
Yizhe Zhu
Martin Renqiang Min
Asim Kadav
H. Graf
CoGeDRL
197
113
0
23 May 2020
VisualEchoes: Spatial Image Representation Learning through Echolocation
VisualEchoes: Spatial Image Representation Learning through EcholocationEuropean Conference on Computer Vision (ECCV), 2020
Ruohan Gao
Changan Chen
Ziad Al-Halah
Carl Schissler
Kristen Grauman
MDESSL
467
90
0
04 May 2020
Gradients as Features for Deep Representation Learning
Gradients as Features for Deep Representation LearningInternational Conference on Learning Representations (ICLR), 2020
Fangzhou Mu
Yingyu Liang
Yin Li
OOD
179
43
0
12 Apr 2020
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video PredictionIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
283
296
0
10 Apr 2020
Motion-supervised Co-Part Segmentation
Motion-supervised Co-Part SegmentationInternational Conference on Pattern Recognition (ICPR), 2020
Aliaksandr Siarohin
Subhankar Roy
Stéphane Lathuilière
Sergey Tulyakov
Elisa Ricci
Andrii Zadaianchuk
SSL
145
39
0
07 Apr 2020
Steering Self-Supervised Feature Learning Beyond Local Pixel Statistics
Steering Self-Supervised Feature Learning Beyond Local Pixel StatisticsComputer Vision and Pattern Recognition (CVPR), 2020
Simon Jenni
Hailin Jin
Paolo Favaro
SSL
164
50
0
05 Apr 2020
Exploit Clues from Views: Self-Supervised and Regularized Learning for
  Multiview Object Recognition
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object RecognitionComputer Vision and Pattern Recognition (CVPR), 2020
Chih-Hui Ho
Bo Liu
Tz-Ying Wu
Nuno Vasconcelos
170
8
0
28 Mar 2020
One-Shot Informed Robotic Visual Search in the Wild
One-Shot Informed Robotic Visual Search in the WildIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Karim Koreitem
Florian Shkurti
Travis Manderson
Wei-Di Chang
J. A. G. Higuera
Gregory Dudek
127
13
0
22 Mar 2020
Learning View and Target Invariant Visual Servoing for Navigation
Learning View and Target Invariant Visual Servoing for NavigationIEEE International Conference on Robotics and Automation (ICRA), 2020
Yimeng Li
Jana Kosecka
SSL
141
24
0
04 Mar 2020
A Multi-view Perspective of Self-supervised Learning
A Multi-view Perspective of Self-supervised Learning
Chuanxing Geng
Zheng-Hua Tan
Songcan Chen
SSL
139
1
0
22 Feb 2020
Learning Similarity Metrics for Numerical Simulations
Learning Similarity Metrics for Numerical SimulationsInternational Conference on Machine Learning (ICML), 2020
Georg Kohl
Kiwon Um
Nils Thuerey
225
16
0
18 Feb 2020
MAST: A Memory-Augmented Self-supervised Tracker
MAST: A Memory-Augmented Self-supervised TrackerComputer Vision and Pattern Recognition (CVPR), 2020
Zihang Lai
Erika Lu
Weidi Xie
VOS
285
199
0
18 Feb 2020
Efficient Training of Deep Convolutional Neural Networks by Augmentation
  in Embedding Space
Efficient Training of Deep Convolutional Neural Networks by Augmentation in Embedding SpaceIEEE International Symposium on Quality Electronic Design (ISQED), 2020
M. Abrishami
Amir Erfan Eshratifar
David Eigen
Yanzhi Wang
Shahin Nazarian
Massoud Pedram
98
1
0
12 Feb 2020
Don't Forget The Past: Recurrent Depth Estimation from Monocular Video
Don't Forget The Past: Recurrent Depth Estimation from Monocular VideoIEEE Robotics and Automation Letters (RA-L), 2020
Vaishakh Patil
Wouter Van Gansbeke
Dengxin Dai
Luc Van Gool
MDE
392
148
0
08 Jan 2020
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Video Cloze Procedure for Self-Supervised Spatio-Temporal LearningAAAI Conference on Artificial Intelligence (AAAI), 2020
Dezhao Luo
Chang-rui Liu
Can Ma
Dongbao Yang
Can Ma
QiXiang Ye
Weiping Wang
SSL
202
167
0
02 Jan 2020
Improving Visual Recognition using Ambient Sound for Supervision
Improving Visual Recognition using Ambient Sound for Supervision
Rohan Mahadev
Hongyu Lu
67
1
0
25 Dec 2019
Unsupervised Representation Learning by Predicting Random Distances
Unsupervised Representation Learning by Predicting Random DistancesInternational Joint Conference on Artificial Intelligence (IJCAI), 2019
Hu Wang
Guansong Pang
Chunhua Shen
Congbo Ma
OODSSL
108
86
0
22 Dec 2019
Self-Supervised Learning of Video-Induced Visual Invariances
Self-Supervised Learning of Video-Induced Visual InvariancesComputer Vision and Pattern Recognition (CVPR), 2019
Michael Tschannen
Josip Djolonga
Marvin Ritter
Aravindh Mahendran
Xiaohua Zhai
N. Houlsby
Sylvain Gelly
Mario Lucic
SSL
354
65
0
05 Dec 2019
Learning from Interventions using Hierarchical Policies for Safe
  Learning
Learning from Interventions using Hierarchical Policies for Safe LearningAAAI Conference on Artificial Intelligence (AAAI), 2019
Jing Bi
Vikas Dhiman
Tianyou Xiao
Chenliang Xu
OffRL
113
6
0
04 Dec 2019
Oops! Predicting Unintentional Action in Video
Oops! Predicting Unintentional Action in VideoComputer Vision and Pattern Recognition (CVPR), 2019
Dave Epstein
Boyuan Chen
Carl Vondrick
202
111
0
25 Nov 2019
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from
  Images in the Wild
Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the WildComputer Vision and Pattern Recognition (CVPR), 2019
Shangzhe Wu
Christian Rupprecht
Andrea Vedaldi
OCL
366
329
0
25 Nov 2019
EnAET: A Self-Trained framework for Semi-Supervised and Supervised
  Learning with Ensemble Transformations
EnAET: A Self-Trained framework for Semi-Supervised and Supervised Learning with Ensemble Transformations
Tianlin Li
Daisuke Kihara
Jiebo Luo
Guo-Jun Qi
OOD
136
34
0
21 Nov 2019
Coincidence, Categorization, and Consolidation: Learning to Recognize
  Sounds with Minimal Supervision
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal SupervisionIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
A. Jansen
D. Ellis
Shawn Hershey
R. C. Moore
Manoj Plakal
Ashok Popat
Rif A. Saurous
SSL
135
29
0
14 Nov 2019
Self-labelling via simultaneous clustering and representation learning
Self-labelling via simultaneous clustering and representation learningInternational Conference on Learning Representations (ICLR), 2019
Yuki M. Asano
Christian Rupprecht
Andrea Vedaldi
SSL
453
845
0
13 Nov 2019
Self-supervised learning of class embeddings from video
Self-supervised learning of class embeddings from video
Olivia Wiles
A. Sophia Koepke
Andrew Zisserman
SSL
118
7
0
28 Oct 2019
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