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Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation

Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation

9 February 2016
Colin S. Lea
A. Reiter
René Vidal
Gregory Hager
ArXivPDFHTML

Papers citing "Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation"

29 / 129 papers shown
Title
Stable Electromyographic Sequence Prediction During Movement Transitions
  using Temporal Convolutional Networks
Stable Electromyographic Sequence Prediction During Movement Transitions using Temporal Convolutional Networks
Joseph L. Betthauser
John T. Krall
R. Kaliki
M. Fifer
N. Thakor
19
24
0
08 Jan 2019
An Empirical Study towards Understanding How Deep Convolutional Nets
  Recognize Falls
An Empirical Study towards Understanding How Deep Convolutional Nets Recognize Falls
Yan Zhang
Heiko Neumann
26
5
0
05 Dec 2018
Local Temporal Bilinear Pooling for Fine-grained Action Parsing
Local Temporal Bilinear Pooling for Fine-grained Action Parsing
Yan Zhang
Siyu Tang
Krikamol Muandet
Christian Jarvers
Heiko Neumann
29
21
0
05 Dec 2018
Learning Motion in Feature Space: Locally-Consistent Deformable
  Convolution Networks for Fine-Grained Action Detection
Learning Motion in Feature Space: Locally-Consistent Deformable Convolution Networks for Fine-Grained Action Detection
Khoi-Nguyen C. Mac
D. Joshi
Raymond A. Yeh
Jinjun Xiong
Rogerio Feris
Minh Do
27
42
0
21 Nov 2018
A Perceptual Prediction Framework for Self Supervised Event Segmentation
A Perceptual Prediction Framework for Self Supervised Event Segmentation
Sathyanarayanan N. Aakur
Sudeep Sarkar
19
69
0
12 Nov 2018
Deep Reinforcement Learning for Surgical Gesture Segmentation and
  Classification
Deep Reinforcement Learning for Surgical Gesture Segmentation and Classification
Daochang Liu
Tingting Jiang
30
63
0
21 Jun 2018
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning
Alexander Richard
Hilde Kuehne
Ahsan Iqbal
Juergen Gall
42
137
0
17 May 2018
Weakly-Supervised Video Object Grounding from Text by Loss Weighting and
  Object Interaction
Weakly-Supervised Video Object Grounding from Text by Loss Weighting and Object Interaction
Luowei Zhou
Nathan Louis
Jason J. Corso
39
94
0
08 May 2018
Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data
Spatiotemporal Learning of Dynamic Gestures from 3D Point Cloud Data
Joshua Owoyemi
K. Hashimoto
3DPC
11
21
0
24 Apr 2018
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional
  Neural Networks
Depth Pooling Based Large-scale 3D Action Recognition with Convolutional Neural Networks
Pichao Wang
W. Li
Zhimin Gao
Chang-Fu Tang
P. Ogunbona
3DV
125
137
0
17 Mar 2018
Towards Structured Analysis of Broadcast Badminton Videos
Towards Structured Analysis of Broadcast Badminton Videos
Anurag Ghosh
Suriya Singh
C. V. Jawahar
41
45
0
23 Dec 2017
Facial Dynamics Interpreter Network: What are the Important Relations
  between Local Dynamics for Facial Trait Estimation?
Facial Dynamics Interpreter Network: What are the Important Relations between Local Dynamics for Facial Trait Estimation?
S. T. Kim
Yong Man Ro
CVBM
28
5
0
29 Nov 2017
Grounded Objects and Interactions for Video Captioning
Grounded Objects and Interactions for Video Captioning
Chih-Yao Ma
Asim Kadav
I. Melvin
Z. Kira
G. Al-Regib
H. Graf
35
6
0
16 Nov 2017
Attend and Interact: Higher-Order Object Interactions for Video
  Understanding
Attend and Interact: Higher-Order Object Interactions for Video Understanding
Chih-Yao Ma
Asim Kadav
I. Melvin
Z. Kira
G. Al-Regib
H. Graf
33
145
0
16 Nov 2017
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
RGB-D-based Human Motion Recognition with Deep Learning: A Survey
Pichao Wang
W. Li
P. Ogunbona
Jun Wan
Sergio Escalera
3DH
39
353
0
31 Oct 2017
A self-organizing neural network architecture for learning human-object
  interactions
A self-organizing neural network architecture for learning human-object interactions
L. Mici
G. I. Parisi
S. Wermter
14
35
0
05 Oct 2017
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600
  Papers Survey
cvpaper.challenge in 2016: Futuristic Computer Vision through 1,600 Papers Survey
Hirokatsu Kataoka
Soma Shirakabe
Yun He
S. Ueta
Teppei Suzuki
...
Ryousuke Takasawa
Masataka Fuchida
Yudai Miyashita
Kazushige Okayasu
Yuta Matsuzaki
30
1
0
20 Jul 2017
Action Sets: Weakly Supervised Action Segmentation without Ordering
  Constraints
Action Sets: Weakly Supervised Action Segmentation without Ordering Constraints
Alexander Richard
Hilde Kuehne
Juergen Gall
32
1
0
02 Jun 2017
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for
  Video Action Segmentation
TricorNet: A Hybrid Temporal Convolutional and Recurrent Network for Video Action Segmentation
Li Ding
Chenliang Xu
33
51
0
22 May 2017
Action Understanding with Multiple Classes of Actors
Action Understanding with Multiple Classes of Actors
Chenliang Xu
Caiming Xiong
Jason J. Corso
16
5
0
27 Apr 2017
Trespassing the Boundaries: Labeling Temporal Bounds for Object
  Interactions in Egocentric Video
Trespassing the Boundaries: Labeling Temporal Bounds for Object Interactions in Egocentric Video
Davide Moltisanti
Michael Wray
W. Mayol-Cuevas
Dima Damen
EgoV
25
31
0
27 Mar 2017
Improving Classification by Improving Labelling: Introducing
  Probabilistic Multi-Label Object Interaction Recognition
Improving Classification by Improving Labelling: Introducing Probabilistic Multi-Label Object Interaction Recognition
Michael Wray
Davide Moltisanti
W. Mayol-Cuevas
Dima Damen
30
2
0
24 Mar 2017
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling
Weakly Supervised Action Learning with RNN based Fine-to-coarse Modeling
Alexander Richard
Hilde Kuehne
Juergen Gall
34
196
0
23 Mar 2017
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action
  Localization in Untrimmed Videos
CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos
Zheng Shou
Jonathan Chan
Alireza Zareian
K. Miyazawa
Shih-Fu Chang
34
560
0
04 Mar 2017
Temporal Convolutional Networks for Action Segmentation and Detection
Temporal Convolutional Networks for Action Segmentation and Detection
Colin S. Lea
Michael D. Flynn
René Vidal
A. Reiter
Gregory Hager
58
1,470
0
16 Nov 2016
Prediction of Manipulation Actions
Prediction of Manipulation Actions
Cornelia Fermuller
Fang Wang
Yezhou Yang
Konstantinos Zampogiannis
Yi Zhang
Francisco Barranco
Michael Pfeiffer
24
51
0
03 Oct 2016
Temporal Convolutional Networks: A Unified Approach to Action
  Segmentation
Temporal Convolutional Networks: A Unified Approach to Action Segmentation
Colin S. Lea
René Vidal
A. Reiter
Gregory Hager
36
741
0
29 Aug 2016
Going Deeper into Action Recognition: A Survey
Going Deeper into Action Recognition: A Survey
Samitha Herath
Mehrtash Harandi
Fatih Porikli
36
610
0
16 May 2016
Learning Human Activities and Object Affordances from RGB-D Videos
Learning Human Activities and Object Affordances from RGB-D Videos
H. Koppula
Rudhir Gupta
Ashutosh Saxena
96
727
0
04 Oct 2012
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