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. 2305.12998
  4. Cited By
MFT: Long-Term Tracking of Every Pixel
v1v2 (latest)

MFT: Long-Term Tracking of Every Pixel

22 May 2023
Michal Neoral
Jonas Serych
Juan E. Sala Matas
    VOT
ArXiv (abs)PDFHTML

Papers citing "MFT: Long-Term Tracking of Every Pixel"

44 / 44 papers shown
Title
ProTracker: Probabilistic Integration for Robust and Accurate Point Tracking
Tingyang Zhang
Chen Wang
Zhiyang Dou
Qingzhe Gao
Jiahui Lei
Baoquan Chen
Lingjie Liu
3DV
102
0
0
06 Jan 2025
DELTA: Dense Efficient Long-range 3D Tracking for any video
DELTA: Dense Efficient Long-range 3D Tracking for any video
Tuan Duc Ngo
Peiye Zhuang
Chuang Gan
E. Kalogerakis
Sergey Tulyakov
Hsin-Ying Lee
Chaoyang Wang
165
8
0
31 Oct 2024
Tracking Everything in Robotic-Assisted Surgery
Tracking Everything in Robotic-Assisted Surgery
Bohan Zhan
Wang Zhao
Yi Fang
Bo Du
Francisco Vasconcelos
Danail Stoyanov
Daniel Elson
Baoru Huang
97
3
0
29 Sep 2024
SceneTracker: Long-term Scene Flow Estimation Network
SceneTracker: Long-term Scene Flow Estimation Network
Bo Wang
Jian Li
Yang Yu
Li Liu
Z. Sun
Dewen Hu
104
4
0
29 Mar 2024
CoTracker: It is Better to Track Together
CoTracker: It is Better to Track Together
Nikita Karaev
Ignacio Rocco
Benjamin Graham
Natalia Neverova
Andrea Vedaldi
Christian Rupprecht
VOTViT
113
270
0
14 Jul 2023
TAPIR: Tracking Any Point with per-frame Initialization and temporal
  Refinement
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
Carl Doersch
Yi Yang
Mel Vecerík
Dilara Gokay
Ankush Gupta
Y. Aytar
João Carreira
Andrew Zisserman
74
159
0
14 Jun 2023
Tracking Everything Everywhere All at Once
Tracking Everything Everywhere All at Once
Qianqian Wang
Yen-Yu Chang
Ruojin Cai
Zhengqi Li
Bharath Hariharan
Aleksander Holynski
Noah Snavely
53
157
0
08 Jun 2023
Planar Object Tracking via Weighted Optical Flow
Planar Object Tracking via Weighted Optical Flow
Jonas Serych
Jirí Matas
42
7
0
24 Jan 2023
TAP-Vid: A Benchmark for Tracking Any Point in a Video
TAP-Vid: A Benchmark for Tracking Any Point in a Video
Carl Doersch
Ankush Gupta
L. Markeeva
Adrià Recasens
Lucas Smaira
Y. Aytar
João Carreira
Andrew Zisserman
Yezhou Yang
83
165
0
07 Nov 2022
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and
  Photometric Bundle Adjustment
DirectTracker: 3D Multi-Object Tracking Using Direct Image Alignment and Photometric Bundle Adjustment
M. Gladkova
N. Korobov
Nikolaus Demmel
Aljovsa Ovsep
Laura Leal-Taixé
Daniel Cremers
3DPC
53
5
0
29 Sep 2022
NeuralMarker: A Framework for Learning General Marker Correspondence
NeuralMarker: A Framework for Learning General Marker Correspondence
Zhaoyang Huang
Xiao Pan
Weihong Pan
Weikang Bian
Yan Xu
Ka Chun Cheung
Guofeng Zhang
Hongsheng Li
68
5
0
19 Sep 2022
Refign: Align and Refine for Adaptation of Semantic Segmentation to
  Adverse Conditions
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
David Brüggemann
Daniel Gehrig
Prune Truong
Luc Van Gool
106
61
0
14 Jul 2022
Particle Video Revisited: Tracking Through Occlusions Using Point
  Trajectories
Particle Video Revisited: Tracking Through Occlusions Using Point Trajectories
Adam W. Harley
Zhaoyuan Fang
Katerina Fragkiadaki
84
168
0
08 Apr 2022
FlowFormer: A Transformer Architecture for Optical Flow
FlowFormer: A Transformer Architecture for Optical Flow
Zhaoyang Huang
Xiaoyu Shi
Chao Zhang
Qiang Wang
Ka Chun Cheung
Hongwei Qin
Jifeng Dai
Hongsheng Li
ViT
90
286
0
30 Mar 2022
Kubric: A scalable dataset generator
Kubric: A scalable dataset generator
Klaus Greff
Francois Belletti
Lucas Beyer
Carl Doersch
Yilun Du
...
Ziyu Wang
Tianhao Wu
K. M. Yi
Fangcheng Zhong
Andrea Tagliasacchi
107
267
0
07 Mar 2022
BANMo: Building Animatable 3D Neural Models from Many Casual Videos
BANMo: Building Animatable 3D Neural Models from Many Casual Videos
Gengshan Yang
Minh Vo
Natalia Neverova
Deva Ramanan
Andrea Vedaldi
Hanbyul Joo
3DH
170
189
0
23 Dec 2021
Homography Decomposition Networks for Planar Object Tracking
Homography Decomposition Networks for Planar Object Tracking
Xinrui Zhan
Yue Liu
Jianke Zhu
Yang Li
73
14
0
15 Dec 2021
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
LASR: Learning Articulated Shape Reconstruction from a Monocular Video
Gengshan Yang
Deqing Sun
Varun Jampani
Daniel Vlasic
Forrester Cole
Huiwen Chang
Deva Ramanan
William T. Freeman
Ce Liu
3DV
136
116
0
06 May 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
441
2,689
0
04 May 2021
COTR: Correspondence Transformer for Matching Across Images
COTR: Correspondence Transformer for Matching Across Images
Wei Jiang
Eduard Trulls
J. Hosang
Andrea Tagliasacchi
K. M. Yi
ViT
87
264
0
25 Mar 2021
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Online Adaptation for Consistent Mesh Reconstruction in the Wild
Xueting Li
Sifei Liu
Shalini De Mello
Kihwan Kim
Xinyu Wang
Ming-Hsuan Yang
Jan Kautz
3DH
139
57
0
06 Dec 2020
BOP Challenge 2020 on 6D Object Localization
BOP Challenge 2020 on 6D Object Localization
Tomás Hodan
M. Sundermeyer
Bertram Drost
Yann Labbé
Eric Brachmann
Frank Michel
Carsten Rother
Jirí Matas
3DPC
90
268
0
15 Sep 2020
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation
  Maximization in the Loop
Who Left the Dogs Out? 3D Animal Reconstruction with Expectation Maximization in the Loop
Benjamin Biggs
Oliver Boyne
James Charles
Andrew Fitzgibbon
R. Cipolla
3DV3DH
87
104
0
21 Jul 2020
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
RAFT: Recurrent All-Pairs Field Transforms for Optical Flow
Zachary Teed
Jia Deng
MDE
251
2,647
0
26 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
68
213
0
24 Mar 2020
A Short Note on the Kinetics-700 Human Action Dataset
A Short Note on the Kinetics-700 Human Action Dataset
João Carreira
Eric Noland
Chloe Hillier
Andrew Zisserman
82
457
0
15 Jul 2019
Iterative Residual Refinement for Joint Optical Flow and Occlusion
  Estimation
Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
Junhwa Hur
Stefan Roth
87
273
0
10 Apr 2019
Learning Correspondence from the Cycle-Consistency of Time
Learning Correspondence from the Cycle-Consistency of Time
Xinyu Wang
Allan Jabri
Alexei A. Efros
SSL
86
491
0
18 Mar 2019
DPOD: 6D Pose Object Detector and Refiner
DPOD: 6D Pose Object Detector and Refiner
Sergey Zakharov
I. Shugurov
Slobodan Ilic
3DPC
94
428
0
28 Feb 2019
ATOM: Accurate Tracking by Overlap Maximization
ATOM: Accurate Tracking by Overlap Maximization
Martin Danelljan
Goutam Bhat
Fahad Shahbaz Khan
Michael Felsberg
105
1,066
0
19 Nov 2018
Creatures great and SMAL: Recovering the shape and motion of animals
  from video
Creatures great and SMAL: Recovering the shape and motion of animals from video
Benjamin Biggs
Thomas Roddick
Andrew Fitzgibbon
R. Cipolla
46
102
0
14 Nov 2018
A Fusion Approach for Multi-Frame Optical Flow Estimation
A Fusion Approach for Multi-Frame Optical Flow Estimation
Zhile Ren
Orazio Gallo
Deqing Sun
Ming-Hsuan Yang
Erik B. Sudderth
Jan Kautz
49
87
0
23 Oct 2018
Bounding Box Regression with Uncertainty for Accurate Object Detection
Bounding Box Regression with Uncertainty for Accurate Object Detection
Yihui He
Chenchen Zhu
Jianren Wang
Marios Savvides
Xinming Zhang
ObjD
78
469
0
23 Sep 2018
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
N. Xu
L. Yang
Yuchen Fan
Dingcheng Yue
Yuchen Liang
Jianchao Yang
Thomas Huang
VOS
153
534
0
06 Sep 2018
Occlusions, Motion and Depth Boundaries with a Generic Network for
  Disparity, Optical Flow or Scene Flow Estimation
Occlusions, Motion and Depth Boundaries with a Generic Network for Disparity, Optical Flow or Scene Flow Estimation
Eddy Ilg
Tonmoy Saikia
Margret Keuper
Thomas Brox
3DPC
132
206
0
06 Aug 2018
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Uncertainty Estimates and Multi-Hypotheses Networks for Optical Flow
Eddy Ilg
Özgün Çiçek
Silvio Galesso
Aaron Klein
Osama Makansi
Frank Hutter
Thomas Brox
UQCV
81
223
0
20 Feb 2018
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume
Deqing Sun
Xiaodong Yang
Ming-Yuan Liu
Jan Kautz
3DPC
272
2,450
0
07 Sep 2017
ProbFlow: Joint Optical Flow and Uncertainty Estimation
ProbFlow: Joint Optical Flow and Uncertainty Estimation
Anne S. Wannenwetsch
Margret Keuper
Stefan Roth
113
60
0
22 Aug 2017
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
João Carreira
Andrew Zisserman
240
8,041
0
22 May 2017
The 2017 DAVIS Challenge on Video Object Segmentation
The 2017 DAVIS Challenge on Video Object Segmentation
Jordi Pont-Tuset
Federico Perazzi
Sergi Caelles
Pablo Arbeláez
A. Sorkine-Hornung
Luc Van Gool
VGenVOS
87
1,218
0
03 Apr 2017
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
Eddy Ilg
N. Mayer
Tonmoy Saikia
Margret Keuper
Alexey Dosovitskiy
Thomas Brox
3DPC
259
3,082
0
06 Dec 2016
Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences
Drift Robust Non-rigid Optical Flow Enhancement for Long Sequences
Wenbin Li
Darren Cosker
Matthew A. Brown
50
18
0
07 Mar 2016
A Large Dataset to Train Convolutional Networks for Disparity, Optical
  Flow, and Scene Flow Estimation
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
N. Mayer
Eddy Ilg
Philip Häusser
Philipp Fischer
Daniel Cremers
Alexey Dosovitskiy
Thomas Brox
3DPC
69
2,648
0
07 Dec 2015
FlowNet: Learning Optical Flow with Convolutional Networks
FlowNet: Learning Optical Flow with Convolutional Networks
Philipp Fischer
Alexey Dosovitskiy
Eddy Ilg
Philip Häusser
C. Hazirbas
Vladimir Golkov
Patrick van der Smagt
Daniel Cremers
Thomas Brox
3DPC
324
4,180
0
26 Apr 2015
1