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1505.00256
Cited By
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
1 May 2015
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
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Papers citing
"DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving"
50 / 265 papers shown
Title
Learning from All Vehicles
Dian Chen
Philipp Krahenbuhl
53
178
0
22 Mar 2022
ViKiNG: Vision-Based Kilometer-Scale Navigation with Geographic Hints
Dhruv Shah
Sergey Levine
132
66
0
23 Feb 2022
Multi-Task Conditional Imitation Learning for Autonomous Navigation at Crowded Intersections
Zeyu Zhu
Huijing Zhao
29
8
0
21 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
45
14
0
31 Jan 2022
Boundary Defense Against Black-box Adversarial Attacks
Manjushree B. Aithal
Xiaohua Li
AAML
28
6
0
31 Jan 2022
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
Mingfu Xue
S. Ni
Ying-Chang Wu
Yushu Zhang
Jian Wang
Weiqiang Liu
AAML
39
13
0
31 Jan 2022
Object Detection in Autonomous Vehicles: Status and Open Challenges
Abhishek Balasubramaniam
S. Pasricha
47
54
0
19 Jan 2022
On the Convergence and Robustness of Adversarial Training
Yisen Wang
Xingjun Ma
James Bailey
Jinfeng Yi
Bowen Zhou
Quanquan Gu
AAML
215
345
0
15 Dec 2021
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
24
57
0
13 Dec 2021
RamBoAttack: A Robust Query Efficient Deep Neural Network Decision Exploit
Viet Vo
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
30
9
0
10 Dec 2021
Causal Imitative Model for Autonomous Driving
Mohammad Reza Samsami
Mohammadhossein Bahari
Saber Salehkaleybar
Alexandre Alahi
CML
21
12
0
07 Dec 2021
A Survey on Scenario-Based Testing for Automated Driving Systems in High-Fidelity Simulation
Ziyuan Zhong
Yun Tang
Yuan Zhou
V. Neves
Yang Liu
Baishakhi Ray
50
61
0
02 Dec 2021
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems
Bao Gia Doan
Minhui Xue
Shiqing Ma
Ehsan Abbasnejad
Damith C. Ranasinghe
AAML
41
54
0
19 Nov 2021
Complex Terrain Navigation via Model Error Prediction
A. Polevoy
Craig Knuth
K. Popek
Kapil D. Katyal
11
16
0
18 Nov 2021
Single Image Deraining Network with Rain Embedding Consistency and Layered LSTM
Yizhou Li
Yusuke Monno
Masatoshi Okutomi
34
30
0
05 Nov 2021
Safe Autonomous Racing via Approximate Reachability on Ego-vision
Bingqing Chen
Jonathan M Francis
Jean Oh
Eric Nyberg
Sylvia Herbert
59
14
0
14 Oct 2021
Marginally calibrated response distributions for end-to-end learning in autonomous driving
Clara Hoffmann
Nadja Klein
21
2
0
03 Oct 2021
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
Galadrielle Humblot-Renaux
Letizia Marchegiani
T. Moeslund
Rikke Gade
SSeg
EgoV
39
15
0
15 Sep 2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
Arnav V. Malawade
S. Yu
Brandon Hsu
Harsimrat Kaeley
Anurag Karra
Mohammad Abdullah Al Faruque
GNN
29
26
0
02 Sep 2021
Exploring Structure Consistency for Deep Model Watermarking
Jie Zhang
Dongdong Chen
Jing Liao
Han Fang
Zehua Ma
Weiming Zhang
G. Hua
Nenghai Yu
AAML
24
4
0
05 Aug 2021
Imbalanced Adversarial Training with Reweighting
Wentao Wang
Han Xu
Xiaorui Liu
Yaxin Li
B. Thuraisingham
Jiliang Tang
37
16
0
28 Jul 2021
Training Energy-Efficient Deep Spiking Neural Networks with Single-Spike Hybrid Input Encoding
Gourav Datta
Souvik Kundu
Peter A. Beerel
55
27
0
26 Jul 2021
Learned Visual Navigation for Under-Canopy Agricultural Robots
A. N. Sivakumar
Sahil Modi
M. V. Gasparino
Che Ellis
A. E. B. Velasquez
Girish Chowdhary
Saurabh Gupta
30
49
0
06 Jul 2021
Learning by Watching
Jimuyang Zhang
Eshed Ohn-Bar
EgoV
41
33
0
10 Jun 2021
Fixed-Dimensional and Permutation Invariant State Representation of Autonomous Driving
Jingliang Duan
Dongjie Yu
Shengbo Eben Li
Wenxuan Wang
Yangang Ren
Ziyu Lin
B. Cheng
35
10
0
24 May 2021
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma
Matthew B. Blaschko
28
34
0
10 May 2021
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Kaihao Zhang
Wenhan Luo
Yanjiang Yu
Wenqi Ren
Fang Zhao
Changsheng Li
Lin Ma
Wei Liu
Hongdong Li
35
59
0
09 May 2021
Quality Assurance Challenges for Machine Learning Software Applications During Software Development Life Cycle Phases
Md. Abdullah Al Alamin
Gias Uddin
37
11
0
03 May 2021
Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference
Xiaocong Chen
Lina Yao
Xianzhi Wang
Aixin Sun
Wenjie Zhang
Quan Z. Sheng
22
8
0
03 May 2021
Deep Neural Networks Based Weight Approximation and Computation Reuse for 2-D Image Classification
M. Tolba
H. Tesfai
H. Saleh
B. Mohammad
Mahmoud Al-Qutayri
29
4
0
28 Apr 2021
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Adrian Remonda
Sarah Krebs
Eduardo E. Veas
Granit Luzhnica
Roman Kern
OffRL
37
23
0
22 Apr 2021
Dynamic Fusion Network For Light Field Depth Estimation
Yongri Piao
Yukun Zhang
Miao Zhang
Xinxin Ji
MDE
38
8
0
13 Apr 2021
Incorporating Orientations into End-to-end Driving Model for Steering Control
Peng Wan
Zhenbo Song
Jianfeng Lu
LLMSV
23
0
0
10 Mar 2021
Consistency Regularization for Adversarial Robustness
Jihoon Tack
Sihyun Yu
Jongheon Jeong
Minseon Kim
Sung Ju Hwang
Jinwoo Shin
AAML
41
57
0
08 Mar 2021
Deep Learning for Scene Classification: A Survey
Delu Zeng
Minyu Liao
M. Tavakolian
Yulan Guo
Bolei Zhou
D. Hu
M. Pietikäinen
Li Liu
VLM
38
27
0
26 Jan 2021
Deep Compression of Neural Networks for Fault Detection on Tennessee Eastman Chemical Processes
Mingxuan Li
Yuanxun Shao
9
2
0
18 Jan 2021
End-to-end Interpretable Neural Motion Planner
Wenyuan Zeng
Wenjie Luo
Simon Suo
Abbas Sadat
Binh Yang
Sergio Casas
R. Urtasun
3DV
25
402
0
17 Jan 2021
NetCut: Real-Time DNN Inference Using Layer Removal
Mehrshad Zandigohar
Deniz Erdogmus
G. Schirner
17
5
0
13 Jan 2021
Explainability of deep vision-based autonomous driving systems: Review and challenges
Éloi Zablocki
H. Ben-younes
P. Pérez
Matthieu Cord
XAI
53
170
0
13 Jan 2021
DeepiSign: Invisible Fragile Watermark to Protect the Integrityand Authenticity of CNN
A. Abuadbba
Hyoungshick Kim
Surya Nepal
30
16
0
12 Jan 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
61
19
0
04 Jan 2021
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks
Chenchen Zhao
Hao Li
AAML
30
0
0
21 Dec 2020
Mobile Robot Planner with Low-cost Cameras Using Deep Reinforcement Learning
M. Tran
N. Ly
18
1
0
21 Dec 2020
CARLA Real Traffic Scenarios -- novel training ground and benchmark for autonomous driving
B. Osinski
Piotr Milos
Adam Jakubowski
Pawel Ziecina
Michal Martyniak
Christopher Galias
Antonia Breuer
S. Homoceanu
Henryk Michalewski
25
20
0
16 Dec 2020
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges
G. Giray
38
121
0
14 Dec 2020
Empowering Things with Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things
Jing Zhang
Dacheng Tao
45
463
0
17 Nov 2020
Reactive motion planning with probabilistic safety guarantees
Yuxiao Chen
Ugo Rosolia
Chuchu Fan
Aaron D. Ames
R. Murray
32
32
0
06 Nov 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
25
49
0
05 Nov 2020
Detecting Backdoors in Neural Networks Using Novel Feature-Based Anomaly Detection
Hao Fu
A. Veldanda
Prashanth Krishnamurthy
S. Garg
Farshad Khorrami
AAML
38
14
0
04 Nov 2020
Learning Black-Box Attackers with Transferable Priors and Query Feedback
Jiancheng Yang
Yangzhou Jiang
Xiaoyang Huang
Bingbing Ni
Chenglong Zhao
AAML
18
81
0
21 Oct 2020
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