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Markerless tracking of user-defined features with deep learning

Markerless tracking of user-defined features with deep learning

9 April 2018
Alexander Mathis
Pranav Mamidanna
Taiga Abe
Kevin M. Cury
V. Murthy
Mackenzie W. Mathis
Matthias Bethge
ArXivPDFHTML

Papers citing "Markerless tracking of user-defined features with deep learning"

21 / 21 papers shown
Title
Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes
Mouse Lockbox Dataset: Behavior Recognition for Mice Solving Lockboxes
Patrik Reiske
Marcus N. Boon
Niek Andresen
Sole Traverso
Katharina Hohlbaum
Lars Lewejohann
Christa Thöne-Reineke
Olaf Hellwich
Henning Sprekeler
24
0
0
21 May 2025
Neural Encoding and Decoding at Scale
Neural Encoding and Decoding at Scale
Yizi Zhang
Yanchen Wang
Mehdi Azabou
Alexandre Andre
Zixuan Wang
Hanrui Lyu
International Brain Laboratory
Eva L. Dyer
Liam Paninski
Cole Hurwitz
AI4CE
71
1
0
11 Apr 2025
Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation
Learning Structure-Supporting Dependencies via Keypoint Interactive Transformer for General Mammal Pose Estimation
Tianyang Xu
Jiyong Rao
Xiaoning Song
Zhenhua Feng
Xiao Wu
ViT
137
1
0
25 Feb 2025
Tracking Mouse from Incomplete Body-Part Observations and Deep-Learned Deformable-Mouse Model Motion-Track Constraint for Behavior Analysis
Tracking Mouse from Incomplete Body-Part Observations and Deep-Learned Deformable-Mouse Model Motion-Track Constraint for Behavior Analysis
Olaf Hellwich
Niek Andresen
Katharina Hohlbaum
Marcus N. Boon
Monika Kwiatkowski
...
Christa ThöneReineke
Lars Lewejohann
Huma Ghani Zada
Michael Brück
Soledad Traverso
44
0
0
19 Jan 2025
Comparison of marker-less 2D image-based methods for infant pose estimation
Comparison of marker-less 2D image-based methods for infant pose estimation
Lennart Jahn
Sarah Flugge
Dajie Zhang
Luise Poustka
Sven Bolte
Florentin Wörgötter
Peter B Marschik
Tomas Kulvicius
96
1
0
07 Oct 2024
Automatic infant 2D pose estimation from videos: comparing seven deep neural network methods
Automatic infant 2D pose estimation from videos: comparing seven deep neural network methods
Filipe Gama
Matej Misar
Lukas Navara
S. T. Popescu
Matej Hoffmann
3DH
70
2
0
25 Jun 2024
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Bridging Neuroscience and AI: Environmental Enrichment as a Model for Forward Knowledge Transfer
Rajat Saxena
Bruce L. McNaughton
CLL
90
2
0
12 May 2024
Superpixels Based Marker Tracking Vs. Hue Thresholding In Rodent
  Biomechanics Application
Superpixels Based Marker Tracking Vs. Hue Thresholding In Rodent Biomechanics Application
O. H. Maghsoudi
A. V. Tabrizi
B. Robertson
A. Spence
46
24
0
17 Oct 2017
Detect to Track and Track to Detect
Detect to Track and Track to Detect
Christoph Feichtenhofer
A. Pinz
Andrew Zisserman
VOT
64
561
0
11 Oct 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
194
7,961
0
22 May 2017
ArtTrack: Articulated Multi-person Tracking in the Wild
ArtTrack: Articulated Multi-person Tracking in the Wild
Eldar Insafutdinov
Mykhaylo Andriluka
L. Pishchulin
Siyu Tang
Evgeny Levinkov
Bjoern Andres
Bernt Schiele
VOT
46
265
0
05 Dec 2016
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
250
4,612
0
10 Nov 2016
DeepGaze II: Reading fixations from deep features trained on object
  recognition
DeepGaze II: Reading fixations from deep features trained on object recognition
Matthias Kümmerer
Thomas S. A. Wallis
Matthias Bethge
47
288
0
05 Oct 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNN
AI4CE
317
18,300
0
27 May 2016
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation
  Model
DeeperCut: A Deeper, Stronger, and Faster Multi-Person Pose Estimation Model
Eldar Insafutdinov
L. Pishchulin
Bjoern Andres
Mykhaylo Andriluka
Bernt Schiele
3DH
54
1,112
0
10 May 2016
Convolutional Pose Machines
Convolutional Pose Machines
S. Wei
V. Ramakrishna
T. Kanade
Yaser Sheikh
3DV
SSL
84
2,739
0
30 Jan 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose
  Estimation
DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation
L. Pishchulin
Eldar Insafutdinov
Siyu Tang
Bjoern Andres
Mykhaylo Andriluka
Peter V. Gehler
Bernt Schiele
34
975
0
20 Nov 2015
How transferable are features in deep neural networks?
How transferable are features in deep neural networks?
J. Yosinski
Jeff Clune
Yoshua Bengio
Hod Lipson
OOD
123
8,309
0
06 Nov 2014
DeepPose: Human Pose Estimation via Deep Neural Networks
DeepPose: Human Pose Estimation via Deep Neural Networks
Alexander Toshev
Christian Szegedy
3DH
106
2,762
0
17 Dec 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
138
4,946
0
06 Oct 2013
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