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1608.01230
Cited By
Learning a Driving Simulator
3 August 2016
Eder Santana
George Hotz
GAN
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Papers citing
"Learning a Driving Simulator"
27 / 27 papers shown
Title
T2VPhysBench: A First-Principles Benchmark for Physical Consistency in Text-to-Video Generation
Xuyang Guo
Jiayan Huo
Zhenmei Shi
Zhao-quan Song
Jiahao Zhang
Jiale Zhao
EGVM
VGen
PINN
82
1
0
01 May 2025
A Survey of Interactive Generative Video
Jiwen Yu
Yiran Qin
Haoxuan Che
Quande Liu
X. Wang
Pengfei Wan
Di Zhang
Kun Gai
Hao Chen
Xihui Liu
VGen
63
0
0
30 Apr 2025
Learning to Drive from a World Model
Mitchell Goff
Greg Hogan
George Hotz
Armand du Parc Locmaria
Kacper Raczy
Harald Schäfer
Adeeb Shihadeh
Weixing Zhang
Yassine Yousfi
39
0
0
27 Apr 2025
Vista: A Generalizable Driving World Model with High Fidelity and Versatile Controllability
Shenyuan Gao
Jiazhi Yang
Li Chen
Kashyap Chitta
Yihang Qiu
Andreas Geiger
Jun Zhang
Hongyang Li
65
75
0
27 May 2024
LaksNet: an end-to-end deep learning model for self-driving cars in Udacity simulator
Lakshmikar R. Polamreddy
Youshan Zhang
15
3
0
24 Oct 2023
Motion Planning for Autonomous Driving: The State of the Art and Future Perspectives
Siyu Teng
Xuemin Hu
Peng Deng
Bai Li
Yuchen Li
...
Yunfeng Ai
Lingxi Li
Zhe Xuanyuan
F. Zhu
Long Chen
29
336
0
17 Mar 2023
Adversarial Attack with Raindrops
Jiyuan Liu
Bingyi Lu
Mingkang Xiong
Tao Zhang
Huilin Xiong
13
18
0
28 Feb 2023
Sim2Air - Synthetic aerial dataset for UAV monitoring
A. Barišić
Frano Petrić
Stjepan Bogdan
31
21
0
11 Oct 2021
Improving Robustness of Learning-based Autonomous Steering Using Adversarial Images
Yu-cui Shen
L. Zheng
Manli Shu
Weizi Li
Tom Goldstein
Ming Lin
AAML
34
6
0
26 Feb 2021
Autonomous Driving with Deep Learning: A Survey of State-of-Art Technologies
Yu Huang
Yue Chen
3DPC
41
82
0
10 Jun 2020
A Survey on Generative Adversarial Networks: Variants, Applications, and Training
Abdul Jabbar
Xi Li
Bourahla Omar
25
266
0
09 Jun 2020
DDD20 End-to-End Event Camera Driving Dataset: Fusing Frames and Events with Deep Learning for Improved Steering Prediction
Yuhuang Hu
Jonathan Binas
Daniel Neil
Shih-Chii Liu
T. Delbruck
3DV
6
79
0
18 May 2020
A Survey of End-to-End Driving: Architectures and Training Methods
Ardi Tampuu
Maksym Semikin
Naveed Muhammad
D. Fishman
Tambet Matiisen
3DV
18
228
0
13 Mar 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications
Jie Gui
Zhenan Sun
Yonggang Wen
Dacheng Tao
Jieping Ye
EGVM
26
817
0
20 Jan 2020
SAM: Squeeze-and-Mimic Networks for Conditional Visual Driving Policy Learning
Albert Zhao
Tong He
Yitao Liang
Haibin Huang
Guy Van den Broeck
Stefano Soatto
9
16
0
06 Dec 2019
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
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
17
11
0
16 Sep 2019
Entropic GANs meet VAEs: A Statistical Approach to Compute Sample Likelihoods in GANs
Yogesh Balaji
Hamed Hassani
Rama Chellappa
S. Feizi
GAN
DRL
41
20
0
09 Oct 2018
On Offline Evaluation of Vision-based Driving Models
Felipe Codevilla
Antonio M. López
V. Koltun
Alexey Dosovitskiy
OffRL
20
102
0
13 Sep 2018
Experimental Resilience Assessment of An Open-Source Driving Agent
A. Rubaiyat
Yongming Qin
H. Alemzadeh
11
44
0
17 Jul 2018
CIRL: Controllable Imitative Reinforcement Learning for Vision-based Self-driving
Xiaodan Liang
Tairui Wang
Luona Yang
Eric P. Xing
19
266
0
10 Jul 2018
Aggregated Sparse Attention for Steering Angle Prediction
Sen He
D. Kangin
Yang Mi
N. Pugeault
LLMSV
14
5
0
15 Mar 2018
Long-Term On-Board Prediction of People in Traffic Scenes under Uncertainty
Apratim Bhattacharyya
Mario Fritz
Bernt Schiele
23
201
0
24 Nov 2017
Predicting Scene Parsing and Motion Dynamics in the Future
Xiaojie Jin
Huaxin Xiao
Xiaohui Shen
Jimei Yang
Zhe-nan Lin
Yunpeng Chen
Zequn Jie
Jiashi Feng
Shuicheng Yan
20
76
0
09 Nov 2017
End-to-end Learning of Driving Models from Large-scale Video Datasets
Huazhe Xu
Yang Gao
F. I. F. Richard Yu
Trevor Darrell
44
821
0
04 Dec 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning
William Lotter
Gabriel Kreiman
David D. Cox
SSL
35
927
0
25 May 2016
Discriminative Regularization for Generative Models
Alex Lamb
Vincent Dumoulin
Aaron Courville
DRL
32
65
0
09 Feb 2016
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