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End-to-end Learning of Driving Models from Large-scale Video Datasets
v1v2 (latest)

End-to-end Learning of Driving Models from Large-scale Video Datasets

4 December 2016
Huazhe Xu
Yang Gao
Feng Yu
Trevor Darrell
ArXiv (abs)PDFHTML

Papers citing "End-to-end Learning of Driving Models from Large-scale Video Datasets"

25 / 25 papers shown
Title
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation
Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation
Zilin Huang
Zihao Sheng
Zhengyang Wan
Yansong Qu
Yuhao Luo
...
Jiancong Chen
Keke Long
Jiayi Meng
Yue Leng
Sikai Chen
123
0
0
25 Apr 2025
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Human Insights Driven Latent Space for Different Driving Perspectives: A Unified Encoder for Efficient Multi-Task Inference
Huy-Dung Nguyen
Anass Bairouk
Mirjana Maras
Wei Xiao
Tsun-Hsuan Wang
Patrick Chareyre
Ramin Hasani
Marc Blanchon
Daniela Rus
103
1
0
16 Sep 2024
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Proto-OOD: Enhancing OOD Object Detection with Prototype Feature Similarity
Junkun Chen
Jilin Mei
Liang Chen
Fangzhou Zhao
Yu Hu
Yu Hu
ObjD
106
0
0
09 Sep 2024
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models
Decentralized Vehicle Coordination: The Berkeley DeepDrive Drone Dataset and Consensus-Based Models
Fangyu Wu
Dequan Wang
Minjune Hwang
Chenhui Hao
Jiawei Lu
Jiamu Zhang
Christopher Chou
Trevor Darrell
Alexandre M. Bayen
85
5
0
19 Sep 2022
Feudal Steering: Hierarchical Learning for Steering Angle Prediction
Feudal Steering: Hierarchical Learning for Steering Angle Prediction
Faith Johnson
Kristin J. Dana
LLMSV
57
11
0
11 Jun 2020
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Sim-to-Real Robot Learning from Pixels with Progressive Nets
Andrei A. Rusu
Matej Vecerík
Thomas Rothörl
N. Heess
Razvan Pascanu
R. Hadsell
85
533
0
13 Oct 2016
Learning a Driving Simulator
Learning a Driving Simulator
Eder Santana
George Hotz
GAN
80
226
0
03 Aug 2016
Learning Transferable Policies for Monocular Reactive MAV Control
Learning Transferable Policies for Monocular Reactive MAV Control
S. Daftry
J. Andrew Bagnell
Martial Hebert
65
85
0
01 Aug 2016
A Systematic Evaluation and Benchmark for Person Re-Identification:
  Features, Metrics, and Datasets
A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets
Srikrishna Karanam
Mengran Gou
Ziyan Wu
Angels Rates-Borras
Mario Sznaier
Richard J. Radke
92
58
0
31 May 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised
  Learning
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
94
935
0
25 May 2016
Unsupervised Learning for Physical Interaction through Video Prediction
Unsupervised Learning for Physical Interaction through Video Prediction
Chelsea Finn
Ian Goodfellow
Sergey Levine
76
1,044
0
23 May 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
100
4,170
0
25 Apr 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,623
0
06 Apr 2016
Colorful Image Colorization
Colorful Image Colorization
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
133
3,530
0
28 Mar 2016
Multi-Scale Context Aggregation by Dilated Convolutions
Multi-Scale Context Aggregation by Dilated Convolutions
Feng Yu
V. Koltun
SSeg
268
8,446
0
23 Nov 2015
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Adapting Deep Visuomotor Representations with Weak Pairwise Constraints
Eric Tzeng
Coline Devin
Judy Hoffman
Chelsea Finn
Pieter Abbeel
Sergey Levine
Kate Saenko
Trevor Darrell
OOD
85
140
0
23 Nov 2015
Action-Conditional Video Prediction using Deep Networks in Atari Games
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh
Xiaoxiao Guo
Honglak Lee
Richard L. Lewis
Satinder Singh
103
853
0
31 Jul 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
566
7,992
0
13 Jun 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
99
1,765
0
01 May 2015
An Empirical Evaluation of Deep Learning on Highway Driving
An Empirical Evaluation of Deep Learning on Highway Driving
Brody Huval
Tao Wang
S. Tandon
Jeff Kiske
W. Song
...
Toki Migimatsu
Royce Cheng-Yue
Fernando A. Mujica
Adam Coates
A. Ng
91
604
0
07 Apr 2015
Long-term Recurrent Convolutional Networks for Visual Recognition and
  Description
Long-term Recurrent Convolutional Networks for Visual Recognition and Description
Jeff Donahue
Lisa Anne Hendricks
Marcus Rohrbach
Subhashini Venugopalan
S. Guadarrama
Kate Saenko
Trevor Darrell
VLM
162
6,053
0
17 Nov 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,547
0
01 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
452
16,929
0
20 Dec 2013
A Reduction of Imitation Learning and Structured Prediction to No-Regret
  Online Learning
A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning
Stéphane Ross
Geoffrey J. Gordon
J. Andrew Bagnell
OffRL
227
3,221
0
02 Nov 2010
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