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Unsupervised Learning of Visual Representations using Videos

Unsupervised Learning of Visual Representations using Videos

4 May 2015
Xueliang Wang
Abhinav Gupta
    SSL
ArXivPDFHTML

Papers citing "Unsupervised Learning of Visual Representations using Videos"

50 / 99 papers shown
Title
Text Attribute Control via Closed-Loop Disentanglement
Text Attribute Control via Closed-Loop Disentanglement
Lei Sha
Thomas Lukasiewicz
DRL
43
2
0
01 Dec 2023
Masked Video Distillation: Rethinking Masked Feature Modeling for
  Self-supervised Video Representation Learning
Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning
Rui Wang
Dongdong Chen
Zuxuan Wu
Yinpeng Chen
Xiyang Dai
Mengchen Liu
Lu Yuan
Yu-Gang Jiang
VGen
32
87
0
08 Dec 2022
Universal hidden monotonic trend estimation with contrastive learning
Universal hidden monotonic trend estimation with contrastive learning
Edouard Pineau
S. Razakarivony
Mauricio Gonzalez
A. Schrapffer
33
0
0
18 Oct 2022
Self-Supervised Video Representation Learning with Meta-Contrastive
  Network
Self-Supervised Video Representation Learning with Meta-Contrastive Network
Yuanze Lin
Xun Guo
Yan Lu
SSL
19
41
0
19 Aug 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
51
16
0
19 Jan 2021
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation
FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation
Tarun Kalluri
Deepak Pathak
Manmohan Chandraker
Du Tran
VGen
25
142
0
15 Dec 2020
Combining Self-Training and Self-Supervised Learning for Unsupervised
  Disfluency Detection
Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection
Shaolei Wang
Zhongyuan Wang
Wanxiang Che
Ting Liu
SSL
17
15
0
29 Oct 2020
Contrastive Representation Learning: A Framework and Review
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
181
686
0
10 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual
  Representations
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
SSL
36
77
0
05 Oct 2020
Addressing Class Imbalance in Scene Graph Parsing by Learning to
  Contrast and Score
Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
He Huang
Shunta Saito
Yuta Kikuchi
Eiichi Matsumoto
Wei Tang
Philip S. Yu
25
5
0
28 Sep 2020
Video Region Annotation with Sparse Bounding Boxes
Video Region Annotation with Sparse Bounding Boxes
Yuzheng Xu
Yang Wu
Nur Sabrina binti Zuraimi
S. Nobuhara
Ko Nishino
VGen
20
2
0
17 Aug 2020
Self-supervised Contrastive Video-Speech Representation Learning for
  Ultrasound
Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound
Jianbo Jiao
Yifan Cai
M. Alsharid
L. Drukker
A. Papageorghiou
J. A. Noble
6
39
0
14 Aug 2020
Self-supervised Video Representation Learning by Pace Prediction
Self-supervised Video Representation Learning by Pace Prediction
Jiangliu Wang
Jianbo Jiao
Yunhui Liu
SSL
AI4TS
21
233
0
13 Aug 2020
What Should Not Be Contrastive in Contrastive Learning
What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
Trevor Darrell
SSL
DRL
35
298
0
13 Aug 2020
Self-Supervised Learning of Audio-Visual Objects from Video
Self-Supervised Learning of Audio-Visual Objects from Video
Triantafyllos Afouras
Andrew Owens
Joon Son Chung
Andrew Zisserman
SSL
19
252
0
10 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
14
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
27
241
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
18
108
0
03 Aug 2020
Distilling Visual Priors from Self-Supervised Learning
Distilling Visual Priors from Self-Supervised Learning
Bingchen Zhao
Xin Wen
SSL
8
14
0
01 Aug 2020
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM
  for Unsupervised Action Recognition
Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
Haocong Rao
Shihao Xu
Xiping Hu
Jun Cheng
Bin Hu
27
191
0
01 Aug 2020
Unsupervised Deep Representation Learning for Real-Time Tracking
Unsupervised Deep Representation Learning for Real-Time Tracking
Ning Wang
Wen-gang Zhou
Yibing Song
Chao Ma
Wei Liu
Houqiang Li
HAI
87
103
0
22 Jul 2020
Video Representation Learning by Recognizing Temporal Transformations
Video Representation Learning by Recognizing Temporal Transformations
Simon Jenni
Givi Meishvili
Paolo Favaro
131
133
0
21 Jul 2020
Improving Object Detection with Selective Self-supervised Self-training
Improving Object Detection with Selective Self-supervised Self-training
Yandong Li
Di Huang
Danfeng Qin
Liqiang Wang
Boqing Gong
20
65
0
17 Jul 2020
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
Christopher Thomas
Adriana Kovashka
28
41
0
16 Jul 2020
Aligning Videos in Space and Time
Aligning Videos in Space and Time
Senthil Purushwalkam
Tian-Chun Ye
Saurabh Gupta
Abhinav Gupta
30
23
0
09 Jul 2020
Self-Supervised Policy Adaptation during Deployment
Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
Guillem Alenyà
Pieter Abbeel
Alexei A. Efros
Lerrel Pinto
Xiaolong Wang
41
159
0
08 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
SSL
OT
8
292
0
25 Jun 2020
Video Playback Rate Perception for Self-supervisedSpatio-Temporal
  Representation Learning
Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
Yuan Yao
Chang-rui Liu
Dezhao Luo
Yu Zhou
QiXiang Ye
29
169
0
20 Jun 2020
VisualEchoes: Spatial Image Representation Learning through Echolocation
VisualEchoes: Spatial Image Representation Learning through Echolocation
Ruohan Gao
Changan Chen
Ziad Al-Halah
Carl Schissler
Kristen Grauman
MDE
SSL
171
84
0
04 May 2020
Gradients as Features for Deep Representation Learning
Gradients as Features for Deep Representation Learning
Fangzhou Mu
Yingyu Liang
Yin Li
OOD
11
37
0
12 Apr 2020
A Review on Deep Learning Techniques for Video Prediction
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
John Alejandro Castro-Vargas
S. Orts-Escolano
Jose Garcia-Rodriguez
Antonis Argyros
27
251
0
10 Apr 2020
Deep Multimodal Feature Encoding for Video Ordering
Deep Multimodal Feature Encoding for Video Ordering
Vivek Sharma
Makarand Tapaswi
Rainer Stiefelhagen
31
10
0
05 Apr 2020
Proxy Anchor Loss for Deep Metric Learning
Proxy Anchor Loss for Deep Metric Learning
Sungyeon Kim
Dongwon Kim
Minsu Cho
Suha Kwak
19
351
0
31 Mar 2020
Label-Efficient Learning on Point Clouds using Approximate Convex
  Decompositions
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
26
45
0
30 Mar 2020
Are Labels Necessary for Neural Architecture Search?
Are Labels Necessary for Neural Architecture Search?
Chenxi Liu
Piotr Dollár
Kaiming He
Ross B. Girshick
Alan Yuille
Saining Xie
24
75
0
26 Mar 2020
Self-supervised Point Set Local Descriptors for Point Cloud Registration
Self-supervised Point Set Local Descriptors for Point Cloud Registration
Yijun Yuan
Jiawei Hou
A. Nüchter
Sören Schwertfeger
3DPC
25
26
0
11 Mar 2020
Evolving Losses for Unsupervised Video Representation Learning
Evolving Losses for Unsupervised Video Representation Learning
A. Piergiovanni
A. Angelova
Michael S. Ryoo
SSL
27
138
0
26 Feb 2020
Learning Similarity Metrics for Numerical Simulations
Learning Similarity Metrics for Numerical Simulations
Georg Kohl
Kiwon Um
Nils Thuerey
8
13
0
18 Feb 2020
UniVL: A Unified Video and Language Pre-Training Model for Multimodal
  Understanding and Generation
UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation
Huaishao Luo
Lei Ji
Botian Shi
Haoyang Huang
Nan Duan
Tianrui Li
Jason Li
Xilin Chen
Ming Zhou
VLM
46
439
0
15 Feb 2020
Learning Spatiotemporal Features via Video and Text Pair Discrimination
Learning Spatiotemporal Features via Video and Text Pair Discrimination
Tianhao Li
Limin Wang
VGen
12
55
0
16 Jan 2020
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
Dezhao Luo
Chang-rui Liu
Yu Zhou
Dongbao Yang
Can Ma
QiXiang Ye
Weiping Wang
SSL
25
160
0
02 Jan 2020
End-to-End Learning of Visual Representations from Uncurated
  Instructional Videos
End-to-End Learning of Visual Representations from Uncurated Instructional Videos
Antoine Miech
Jean-Baptiste Alayrac
Lucas Smaira
Ivan Laptev
Josef Sivic
Andrew Zisserman
VGen
SSL
42
701
0
13 Dec 2019
The Group Loss for Deep Metric Learning
The Group Loss for Deep Metric Learning
Ismail Elezi
Sebastiano Vascon
Alessandro Torcinovich
Marcello Pelillo
Laura Leal-Taixe
16
50
0
01 Dec 2019
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Self-Supervised Learning by Cross-Modal Audio-Video Clustering
Humam Alwassel
D. Mahajan
Bruno Korbar
Lorenzo Torresani
Guohao Li
Du Tran
SSL
42
428
0
28 Nov 2019
Oops! Predicting Unintentional Action in Video
Oops! Predicting Unintentional Action in Video
Dave Epstein
Boyuan Chen
Carl Vondrick
27
99
0
25 Nov 2019
AETv2: AutoEncoding Transformations for Self-Supervised Representation
  Learning by Minimizing Geodesic Distances in Lie Groups
AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups
Feng Lin
Haohang Xu
Houqiang Li
H. Xiong
Guo-Jun Qi
10
4
0
16 Nov 2019
Unsupervised Multi-Task Feature Learning on Point Clouds
Unsupervised Multi-Task Feature Learning on Point Clouds
Kaveh Hassani
Mike Haley
SSL
3DPC
117
194
0
18 Oct 2019
Autonomous Aerial Cinematography In Unstructured Environments With
  Learned Artistic Decision-Making
Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
Rogerio Bonatti
Wenshan Wang
Cherie Ho
Aayush Ahuja
Mirko Gschwindt
Efe Camci
Erdal Kayacan
Sanjiban Choudhury
Sebastian Scherer
VGen
4
86
0
15 Oct 2019
Graph convolutional networks for learning with few clean and many noisy
  labels
Graph convolutional networks for learning with few clean and many noisy labels
Ahmet Iscen
Giorgos Tolias
Yannis Avrithis
Ondřej Chum
Cordelia Schmid
SSL
14
19
0
01 Oct 2019
Test-Time Training with Self-Supervision for Generalization under
  Distribution Shifts
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
Yu Sun
Xiaolong Wang
Zhuang Liu
John Miller
Alexei A. Efros
Moritz Hardt
TTA
OOD
27
91
0
29 Sep 2019
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