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Understanding Dynamic Scenes using Graph Convolution Networks
v1v2v3v4v5 (latest)

Understanding Dynamic Scenes using Graph Convolution Networks

9 May 2020
Sravan Mylavarapu
Mahtab Sandhu
Priyesh Vijayan
K. M. Krishna
Balaraman Ravindran
A. Namboodiri
ArXiv (abs)PDFHTML

Papers citing "Understanding Dynamic Scenes using Graph Convolution Networks"

11 / 11 papers shown
Survey on video anomaly detection in dynamic scenes with moving cameras
Survey on video anomaly detection in dynamic scenes with moving camerasArtificial Intelligence Review (AIR), 2023
Runyu Jiao
Yi Wan
Fabio Poiesi
Yiming Wang
427
21
0
14 Aug 2023
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust
  Autonomous Perception and Scenario Understanding
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario UnderstandingIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Junyao Wang
Arnav V. Malawade
Junhong Zhou
Shi Yu
Mohammad Abdullah Al Faruque
288
26
0
17 Apr 2023
Graph-based Topology Reasoning for Driving Scenes
Graph-based Topology Reasoning for Driving Scenes
Tianyu Li
Li Chen
Huijie Wang
Yang Li
Zhenbo Liu
...
Hang Xu
Chunjing Xu
Jun Yan
Ping Luo
Guoying Gu
237
61
0
11 Apr 2023
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive
  Learning
Ego-Vehicle Action Recognition based on Semi-Supervised Contrastive LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Chihiro Noguchi
Toshihiro Tanizawa
SSL
193
14
0
02 Mar 2023
Explainable Action Prediction through Self-Supervision on Scene Graphs
Explainable Action Prediction through Self-Supervision on Scene GraphsIEEE International Conference on Robotics and Automation (ICRA), 2023
Pawit Kochakarn
D. Martini
Daniel Omeiza
Lars Kunze
SSL
203
13
0
07 Feb 2023
RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent
  Vehicle in Complex Environments
RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments
Yafu Tian
Alexander Carballo
Ruifeng Li
K. Takeda
GNN
209
8
0
16 Jul 2022
MEAT: Maneuver Extraction from Agent Trajectories
MEAT: Maneuver Extraction from Agent Trajectories
Julian Schmidt
Julian Jordan
D. Raba
Tobias Welz
Klaus C. J. Dietmayer
249
4
0
10 Jun 2022
Driver-Specific Risk Recognition in Interactive Driving Scenarios using
  Graph Representation
Driver-Specific Risk Recognition in Interactive Driving Scenarios using Graph RepresentationIEEE Transactions on Vehicular Technology (IEEE Trans. Veh. Technol.), 2021
Jinghang Li
Chao Lu
Penghui Li
Zheyu Zhang
Cheng Gong
Jian-wei Gong
283
14
0
11 Nov 2021
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision
  Prediction
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision PredictionIEEE Internet of Things Journal (IEEE IoT Journal), 2021
Arnav V. Malawade
S. Yu
Brandon Hsu
Deepan Muthirayan
Pramod P. Khargonekar
Mohammad Abdullah Al Faruque
317
75
0
11 Nov 2021
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal
  Graph Convolutional Networks
RAIST: Learning Risk Aware Traffic Interactions via Spatio-Temporal Graph Convolutional NetworksIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2020
Videsh Suman
Phu-Cuong Pham
Aniket Bera
GNN
439
4
0
17 Nov 2020
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle
  Decisions
Scene-Graph Augmented Data-Driven Risk Assessment of Autonomous Vehicle Decisions
S. Yu
Arnav V. Malawade
Deepan Muthirayan
Pramod P. Khargonekar
Mohammad Abdullah Al Faruque
239
108
0
31 Aug 2020
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