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Structural-RNN: Deep Learning on Spatio-Temporal Graphs
v1v2v3 (latest)

Structural-RNN: Deep Learning on Spatio-Temporal Graphs

17 November 2015
Ashesh Jain
Amir Zamir
Silvio Savarese
Ashutosh Saxena
    GNN
ArXiv (abs)PDFHTML

Papers citing "Structural-RNN: Deep Learning on Spatio-Temporal Graphs"

17 / 317 papers shown
Title
Learning Human Motion Models for Long-term Predictions
Learning Human Motion Models for Long-term Predictions
Partha Ghosh
Mingli Song
Emre Aksan
Otmar Hilliges
3DH
81
240
0
10 Apr 2017
Graph-based Isometry Invariant Representation Learning
Graph-based Isometry Invariant Representation Learning
Renata Khasanova
P. Frossard
120
55
0
01 Mar 2017
Anticipating many futures: Online human motion prediction and synthesis
  for human-robot collaboration
Anticipating many futures: Online human motion prediction and synthesis for human-robot collaboration
Judith Butepage
Hedvig Kjellström
Danica Kragic
3DH
70
26
0
27 Feb 2017
Deep representation learning for human motion prediction and
  classification
Deep representation learning for human motion prediction and classification
Judith Butepage
Michael J. Black
Danica Kragic
Hedvig Kjellström
3DH
105
426
0
24 Feb 2017
Scene Graph Generation by Iterative Message Passing
Scene Graph Generation by Iterative Message Passing
Danfei Xu
Yuke Zhu
Chris Choy
Li Fei-Fei
GNN3DV
161
1,228
0
10 Jan 2017
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term
  Dependencies
Tracking The Untrackable: Learning To Track Multiple Cues with Long-Term Dependencies
Amir Sadeghian
Alexandre Alahi
Silvio Savarese
VOT
101
530
0
08 Jan 2017
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo
M. Defferrard
P. Vandergheynst
Xavier Bresson
GNN
159
787
0
22 Dec 2016
Deep Learning on Lie Groups for Skeleton-based Action Recognition
Deep Learning on Lie Groups for Skeleton-based Action Recognition
Zhiwu Huang
Chengde Wan
Thomas Probst
Luc Van Gool
3DH
129
280
0
18 Dec 2016
Statistics of Visual Responses to Object Stimuli from Primate AIT
  Neurons to DNN Neurons
Statistics of Visual Responses to Object Stimuli from Primate AIT Neurons to DNN Neurons
Qiulei Dong
Zhanyi Hu
53
11
0
12 Dec 2016
A Compositional Object-Based Approach to Learning Physical Dynamics
A Compositional Object-Based Approach to Learning Physical Dynamics
Michael Chang
T. Ullman
Antonio Torralba
J. Tenenbaum
AI4CEOCL
397
441
0
01 Dec 2016
Recalling Holistic Information for Semantic Segmentation
Recalling Holistic Information for Semantic Segmentation
Hexiang Hu
Zhiwei Deng
Guang-Tong Zhou
Fei Sha
Greg Mori
74
5
0
24 Nov 2016
Building Deep Networks on Grassmann Manifolds
Building Deep Networks on Grassmann Manifolds
Zhiwu Huang
Jiqing Wu
Luc Van Gool
103
163
0
17 Nov 2016
Intrinsic Geometric Information Transfer Learning on Multiple
  Graph-Structured Datasets
Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets
Jaekoo Lee
Hyunjae Kim
Jongsun Lee
Sungroh Yoon
GNN
78
66
0
15 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
80
11
0
01 Nov 2016
Graph-Structured Representations for Visual Question Answering
Graph-Structured Representations for Visual Question Answering
Damien Teney
Lingqiao Liu
Anton Van Den Hengel
GNNNAI
147
422
0
19 Sep 2016
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
Spatio-Temporal LSTM with Trust Gates for 3D Human Action Recognition
Jun Liu
Amir Shahroudy
Dong Xu
Gang Wang
205
1,109
0
24 Jul 2016
Predicting Human Intentions from Motion Only: A 2D+3D Fusion Approach
Predicting Human Intentions from Motion Only: A 2D+3D Fusion Approach
Andrea Zunino
Jacopo Cavazza
A. Koul
A. Cavallo
C. Becchio
Vittorio Murino
24
5
0
31 May 2016
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