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Tracking Emerges by Colorizing Videos

Tracking Emerges by Colorizing Videos

25 June 2018
Carl Vondrick
Abhinav Shrivastava
Alireza Fathi
S. Guadarrama
Kevin Patrick Murphy
ArXivPDFHTML

Papers citing "Tracking Emerges by Colorizing Videos"

50 / 68 papers shown
Title
Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning
Leveraging Motion Information for Better Self-Supervised Video Correspondence Learning
Zihan Zhoua
Changrui Daia
Aibo Songa
Xiaolin Fang
VOS
69
0
0
15 Mar 2025
Beyond Traditional Single Object Tracking: A Survey
Beyond Traditional Single Object Tracking: A Survey
Omar Abdelaziz
Mohamed Shehata
Mohamed Mohamed
35
0
0
16 May 2024
Color-$S^{4}L$: Self-supervised Semi-supervised Learning with Image
  Colorization
Color-S4LS^{4}LS4L: Self-supervised Semi-supervised Learning with Image Colorization
Hanxiao Chen
SSL
VLM
14
2
0
08 Jan 2024
Semi-supervised Active Learning for Video Action Detection
Semi-supervised Active Learning for Video Action Detection
Aayush Singh
A. J. Rana
Akash Kumar
Shruti Vyas
Y. S. Rawat
28
7
0
12 Dec 2023
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial
  Network for an end-to-end image translation
SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation
Iman Abbasnejad
Fabio Zambetta
Flora D. Salim
Timothy Wiley
Jeffrey Chan
Russell Gallagher
Ehsan Abbasnejad
GAN
11
0
0
07 Nov 2023
Doduo: Learning Dense Visual Correspondence from Unsupervised
  Semantic-Aware Flow
Doduo: Learning Dense Visual Correspondence from Unsupervised Semantic-Aware Flow
Zhenyu Jiang
Hanwen Jiang
Yuke Zhu
VOS
14
4
0
26 Sep 2023
Language-based Action Concept Spaces Improve Video Self-Supervised
  Learning
Language-based Action Concept Spaces Improve Video Self-Supervised Learning
Kanchana Ranasinghe
Michael S. Ryoo
SSL
VLM
26
12
0
20 Jul 2023
Siamese Masked Autoencoders
Siamese Masked Autoencoders
Agrim Gupta
Jiajun Wu
Jia Deng
Li Fei-Fei
25
48
0
23 May 2023
S$^3$Track: Self-supervised Tracking with Soft Assignment Flow
S3^33Track: Self-supervised Tracking with Soft Assignment Flow
Fatemeh Azimi
Fahim Mannan
Felix Heide
VOT
24
0
0
17 May 2023
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and
  Imaging Data
Best of Both Worlds: Multimodal Contrastive Learning with Tabular and Imaging Data
Paul Hager
M. Menten
Daniel Rueckert
19
47
0
24 Mar 2023
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for
  Urban-Scene Segmentation
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation
Liang Zeng
A. Lengyel
Nergis Tomen
J. C. V. Gemert
AI4TS
19
0
0
25 Nov 2022
Instance-based Learning for Knowledge Base Completion
Instance-based Learning for Knowledge Base Completion
Wanyun Cui
Xingran Chen
14
7
0
13 Nov 2022
Motion-inductive Self-supervised Object Discovery in Videos
Motion-inductive Self-supervised Object Discovery in Videos
Shuangrui Ding
Weidi Xie
Yabo Chen
Rui Qian
Xiaopeng Zhang
H. Xiong
Q. Tian
VOS
14
18
0
01 Oct 2022
The Change You Want to See
The Change You Want to See
Ragav Sachdeva
Andrew Zisserman
18
3
0
28 Sep 2022
Self-supervised Learning for Unintentional Action Prediction
Self-supervised Learning for Unintentional Action Prediction
Olga Zatsarynna
Yazan Abu Farha
Juergen Gall
SSL
36
8
0
24 Sep 2022
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
30
113
0
24 Aug 2022
Segmenting Moving Objects via an Object-Centric Layered Representation
Segmenting Moving Objects via an Object-Centric Layered Representation
Jun Xie
Weidi Xie
Andrew Zisserman
VOS
OCL
28
47
0
05 Jul 2022
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Dissecting Self-Supervised Learning Methods for Surgical Computer Vision
Sanat Ramesh
V. Srivastav
Deepak Alapatt
Tong Yu
Aditya Murali
...
Saurav Sharma
A. Fleurentin
Georgios Exarchakis
Alexandros Karargyris
N. Padoy
16
42
0
01 Jul 2022
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic
  Videos
Simple Unsupervised Object-Centric Learning for Complex and Naturalistic Videos
Gautam Singh
Yi-Fu Wu
Sungjin Ahn
OCL
33
114
0
27 May 2022
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time
  Series
MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series
Yiwei Fu
Feng Xue
AI4TS
21
15
0
04 May 2022
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
On Negative Sampling for Audio-Visual Contrastive Learning from Movies
Mahdi M. Kalayeh
Shervin Ardeshir
Lingyi Liu
Nagendra Kamath
Ashok Chandrashekar
SSL
22
3
0
29 Apr 2022
Sound Localization by Self-Supervised Time Delay Estimation
Sound Localization by Self-Supervised Time Delay Estimation
Ziyang Chen
David Fouhey
Andrew Owens
SSL
19
19
0
26 Apr 2022
Hierarchical Self-supervised Representation Learning for Movie
  Understanding
Hierarchical Self-supervised Representation Learning for Movie Understanding
Fanyi Xiao
Kaustav Kundu
Joseph Tighe
Davide Modolo
SSL
37
24
0
06 Apr 2022
Self-supervised Semantic Segmentation Grounded in Visual Concepts
Self-supervised Semantic Segmentation Grounded in Visual Concepts
Wenbin He
William C. Surmeier
A. Shekar
Liangke Gou
Liu Ren
SSL
19
7
0
25 Mar 2022
Transfer of Representations to Video Label Propagation: Implementation
  Factors Matter
Transfer of Representations to Video Label Propagation: Implementation Factors Matter
Daniel McKee
Zitong Zhan
Bing Shuai
Davide Modolo
Joseph Tighe
Svetlana Lazebnik
SSL
11
4
0
10 Mar 2022
Boundary-aware Self-supervised Learning for Video Scene Segmentation
Boundary-aware Self-supervised Learning for Video Scene Segmentation
Jonghwan Mun
Minchul Shin
Gunsoo Han
Sangho Lee
S. Ha
Joonseok Lee
Eun-Sol Kim
SSL
38
20
0
14 Jan 2022
HODOR: High-level Object Descriptors for Object Re-segmentation in Video
  Learned from Static Images
HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images
A. Athar
Jonathon Luiten
Alexander Hermans
Deva Ramanan
Bastian Leibe
VOS
22
25
0
16 Dec 2021
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction
  and Lip Reading
LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading
Leyuan Qu
C. Weber
S. Wermter
28
23
0
09 Dec 2021
Self-supervised Video Transformer
Self-supervised Video Transformer
Kanchana Ranasinghe
Muzammal Naseer
Salman Khan
F. Khan
Michael S. Ryoo
ViT
26
84
0
02 Dec 2021
Exploring the Semi-supervised Video Object Segmentation Problem from a
  Cyclic Perspective
Exploring the Semi-supervised Video Object Segmentation Problem from a Cyclic Perspective
Yuxi Li
N. Xu
Wenjie Yang
John See
Weiyao Lin
VOS
22
5
0
02 Nov 2021
The Impact of Spatiotemporal Augmentations on Self-Supervised
  Audiovisual Representation Learning
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning
Haider Al-Tahan
Y. Mohsenzadeh
SSL
AI4TS
19
0
0
13 Oct 2021
The Animation Transformer: Visual Correspondence via Segment Matching
The Animation Transformer: Visual Correspondence via Segment Matching
Evan Casey
V. Pérez
Zhuoru Li
Harry Teitelman
Nick Boyajian
Tim Pulver
Mike Manh
William Grisaitis
ViT
14
30
0
06 Sep 2021
Spatiotemporal Contrastive Learning of Facial Expressions in Videos
Spatiotemporal Contrastive Learning of Facial Expressions in Videos
Shuvendu Roy
Ali Etemad
32
17
0
06 Aug 2021
Enhancing Self-supervised Video Representation Learning via Multi-level
  Feature Optimization
Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization
Rui Qian
Yuxi Li
Huabin Liu
John See
Shuangrui Ding
Xian Liu
Dian Li
Weiyao Lin
17
42
0
04 Aug 2021
Do Different Tracking Tasks Require Different Appearance Models?
Do Different Tracking Tasks Require Different Appearance Models?
Zhongdao Wang
Hengshuang Zhao
Yali Li
Shengjin Wang
Philip H. S. Torr
Luca Bertinetto
29
81
0
05 Jul 2021
A Survey on Deep Learning Technique for Video Segmentation
A Survey on Deep Learning Technique for Video Segmentation
Tianfei Zhou
Fatih Porikli
David J. Crandall
Luc Van Gool
Wenguan Wang
VOS
20
230
0
02 Jul 2021
Divide and Contrast: Self-supervised Learning from Uncurated Data
Divide and Contrast: Self-supervised Learning from Uncurated Data
Yonglong Tian
Olivier J. Hénaff
Aaron van den Oord
SSL
49
96
0
17 May 2021
Self-Supervised Pillar Motion Learning for Autonomous Driving
Self-Supervised Pillar Motion Learning for Autonomous Driving
Chenxu Luo
Xiaodong Yang
Alan Yuille
SSL
3DPC
20
66
0
18 Apr 2021
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
Track, Check, Repeat: An EM Approach to Unsupervised Tracking
Adam W. Harley
Yiming Zuo
Jing Wen
Ayush Mangal
Shubhankar Potdar
Ritwick Chaudhry
Katerina Fragkiadaki
15
9
0
07 Apr 2021
Broaden Your Views for Self-Supervised Video Learning
Broaden Your Views for Self-Supervised Video Learning
Adrià Recasens
Pauline Luc
Jean-Baptiste Alayrac
Luyu Wang
Ross Hemsley
...
Florent Altché
M. Valko
Jean-Bastien Grill
Aaron van den Oord
Andrew Zisserman
SSL
AI4TS
23
127
0
30 Mar 2021
Region Similarity Representation Learning
Region Similarity Representation Learning
Tete Xiao
Colorado Reed
Xiaolong Wang
Kurt Keutzer
Trevor Darrell
VLM
SSL
27
116
0
24 Mar 2021
Group Collaborative Learning for Co-Salient Object Detection
Group Collaborative Learning for Co-Salient Object Detection
Qi Fan
Deng-Ping Fan
H. Fu
Chi-Keung Tang
Ling Shao
Yu-Wing Tai
19
80
0
15 Mar 2021
RCoNet: Deformable Mutual Information Maximization and High-order
  Uncertainty-aware Learning for Robust COVID-19 Detection
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection
Shunjie Dong
Qianqian Yang
Yu Fu
Mei Tian
Cheng Zhuo
OOD
17
42
0
22 Feb 2021
Colorization Transformer
Colorization Transformer
Manoj Kumar
Dirk Weissenborn
Nal Kalchbrenner
ViT
218
156
0
08 Feb 2021
Learning the Predictability of the Future
Learning the Predictability of the Future
Dídac Surís
Ruoshi Liu
Carl Vondrick
13
71
0
01 Jan 2021
Contrastive Transformation for Self-supervised Correspondence Learning
Contrastive Transformation for Self-supervised Correspondence Learning
Ning Wang
Wen-gang Zhou
Houqiang Li
VOS
8
33
0
09 Dec 2020
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
Betrayed by Motion: Camouflaged Object Discovery via Motion Segmentation
Hala Lamdouar
Charig Yang
Weidi Xie
Andrew Zisserman
14
78
0
23 Nov 2020
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised
  Video Representation Learning
Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
Zehua Zhang
David J. Crandall
AI4TS
SSL
16
23
0
23 Nov 2020
Unsupervised Video Representation Learning by Bidirectional Feature
  Prediction
Unsupervised Video Representation Learning by Bidirectional Feature Prediction
Nadine Behrmann
Juergen Gall
M. Noroozi
SSL
MDE
16
29
0
11 Nov 2020
DeepRemaster: Temporal Source-Reference Attention Networks for
  Comprehensive Video Enhancement
DeepRemaster: Temporal Source-Reference Attention Networks for Comprehensive Video Enhancement
S. Iizuka
E. Simo-Serra
11
39
0
18 Sep 2020
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