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Toward Driving Scene Understanding: A Dataset for Learning Driver
  Behavior and Causal Reasoning

Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning

6 November 2018
Vasili Ramanishka
Yi-Ting Chen
Teruhisa Misu
Kate Saenko
ArXivPDFHTML

Papers citing "Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning"

23 / 123 papers shown
Title
Interpretable Self-Attention Temporal Reasoning for Driving Behavior
  Understanding
Interpretable Self-Attention Temporal Reasoning for Driving Behavior Understanding
Yi-Chieh Liu
Yung-An Hsieh
Min-Hung Chen
Chao-Han Huck Yang
Jesper N. Tegnér
Y. Tsai
45
19
0
06 Nov 2019
Driving Datasets Literature Review
Driving Datasets Literature Review
Charles-Éric Noel Laflamme
Franccois Pomerleau
Philippe Giguère
31
19
0
26 Oct 2019
Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from
  Temporal Multimodal Data
Sensor Fusion: Gated Recurrent Fusion to Learn Driving Behavior from Temporal Multimodal Data
Athma Narayanan
Avinash Siravuru
Behzad Dariush
14
6
0
01 Oct 2019
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums
GraphRQI: Classifying Driver Behaviors Using Graph Spectrums
Rohan Chandra
Uttaran Bhattacharya
Trisha Mittal
Xiaoyu Li
Aniket Bera
Tianyi Zhou
34
25
0
30 Sep 2019
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative
  moTION Dataset in Interactive Driving Scenarios with Semantic Maps
INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps
Wei Zhan
Liting Sun
Di Wang
Haojie Shi
Aubrey Clausse
...
Julius Kümmerle
Hendrik Königshof
Christoph Stiller
A. de La Fortelle
Masayoshi Tomizuka
3DV
6
461
0
30 Sep 2019
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph
  Convolutional Networks
Learning 3D-aware Egocentric Spatial-Temporal Interaction via Graph Convolutional Networks
Chengxi Li
Yue Meng
Stanley H. Chan
Yi-Ting Chen
GNN
16
61
0
20 Sep 2019
Visuomotor Understanding for Representation Learning of Driving Scenes
Visuomotor Understanding for Representation Learning of Driving Scenes
Seokju Lee
Junsik Kim
Tae-Hyun Oh
Yongseop Jeong
Donggeun Yoo
Stephen Lin
In So Kweon
SSL
25
11
0
16 Sep 2019
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads
Heterogeneous Dataflow Accelerators for Multi-DNN Workloads
Hyoukjun Kwon
Liangzhen Lai
Michael Pellauer
T. Krishna
Yu-Hsin Chen
Vikas Chandra
11
16
0
13 Sep 2019
DROGON: A Trajectory Prediction Model based on Intention-Conditioned
  Behavior Reasoning
DROGON: A Trajectory Prediction Model based on Intention-Conditioned Behavior Reasoning
Chiho Choi
Srikanth Malla
Abhishek Patil
Joon Hee Choi
33
35
0
31 Jul 2019
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery
Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery
Xiaosheng Yan
Yuanlong Yu
Feigege Wang
Wenxi Liu
Shengfeng He
Jianxiong Pan
22
33
0
22 Jul 2019
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus
  Scalar Sensor Data
Deep Multi-Task Learning for Anomalous Driving Detection Using CAN Bus Scalar Sensor Data
Vidyasagar Sadhu
Teruhisa Misu
D. Pompili
19
16
0
28 Jun 2019
Dynamic Traffic Scene Classification with Space-Time Coherence
Dynamic Traffic Scene Classification with Space-Time Coherence
Athma Narayanan
Isht Dwivedi
Behzad Dariush
19
23
0
29 May 2019
nuScenes: A multimodal dataset for autonomous driving
nuScenes: A multimodal dataset for autonomous driving
Holger Caesar
Varun Bankiti
Alex H. Lang
Sourabh Vora
Venice Erin Liong
Qiang Xu
Anush Krishnan
Yuxin Pan
G. Baldan
Oscar Beijbom
3DPC
78
5,601
0
26 Mar 2019
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking
  in Crowded Urban Scenes
The H3D Dataset for Full-Surround 3D Multi-Object Detection and Tracking in Crowded Urban Scenes
Abhishek Patil
Srikanth Malla
Haiming Gang
Yi-Ting Chen
3DPC
3DV
30
221
0
04 Mar 2019
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
19
17
0
07 Feb 2019
Boosting Standard Classification Architectures Through a Ranking
  Regularizer
Boosting Standard Classification Architectures Through a Ranking Regularizer
Ahmed Taha
Yi-Ting Chen
Teruhisa Misu
Abhinav Shrivastava
L. Davis
12
17
0
24 Jan 2019
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Exploring Uncertainty in Conditional Multi-Modal Retrieval Systems
Ahmed Taha
Yi-Ting Chen
Xitong Yang
Teruhisa Misu
L. Davis
UQCV
28
9
0
23 Jan 2019
Exploring applications of deep reinforcement learning for real-world
  autonomous driving systems
Exploring applications of deep reinforcement learning for real-world autonomous driving systems
V. Talpaert
Ibrahim Sobh
Ravi Kiran
Patrick Mannion
S. Yogamani
Ahmad El-Sallab
P. Pérez
26
74
0
06 Jan 2019
Temporal Recurrent Networks for Online Action Detection
Temporal Recurrent Networks for Online Action Detection
Mingze Xu
M. Gao
Yi-Ting Chen
L. Davis
David J. Crandall
OffRL
31
163
0
18 Nov 2018
Secure Deep Learning Engineering: A Software Quality Assurance
  Perspective
Secure Deep Learning Engineering: A Software Quality Assurance Perspective
Lei Ma
Felix Juefei Xu
Minhui Xue
Q. Hu
Sen Chen
Bo-wen Li
Yang Liu
Jianjun Zhao
Jianxiong Yin
Simon See
AAML
27
35
0
10 Oct 2018
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras
Real-Time Dense Mapping for Self-driving Vehicles using Fisheye Cameras
Zhaopeng Cui
Lionel Heng
Y. Yeo
Andreas Geiger
Marc Pollefeys
Torsten Sattler
MDE
32
38
0
17 Sep 2018
Action Detection from a Robot-Car Perspective
Action Detection from a Robot-Car Perspective
Valentina Fontana
Gurkirt Singh
Stephen Akrigg
Manuele Di Maio
Suman Saha
Fabio Cuzzolin
17
7
0
30 Jul 2018
Two Stream Self-Supervised Learning for Action Recognition
Two Stream Self-Supervised Learning for Action Recognition
Ahmed Taha
Moustafa Meshry
Xitong Yang
Yi-Ting Chen
L. Davis
SSL
16
10
0
16 Jun 2018
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