DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving

1 May 2015

Papers citing "DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving"

50 / 265 papers shown

Title
Regularizing Neural Networks via Adversarial Model Perturbation Yaowei Zheng Richong Zhang Yongyi Mao AAML 30 95 0 10 Oct 2020
Targeted Physical-World Attention Attack on Deep Learning Models in Road Sign Recognition Xinghao Yang Weifeng Liu Shengli Zhang Wei Liu Dacheng Tao AAML 27 28 0 09 Oct 2020
MADRaS : Multi Agent Driving Simulator Anirban Santara S. Rudra Sree Aditya Buridi Meha Kaushik A. Naik Bharat Kaul Balaraman Ravindran 39 30 0 02 Oct 2020
Computing Systems for Autonomous Driving: State-of-the-Art and Challenges Liangkai Liu Sidi Lu Ren Zhong Baofu Wu Yongtao Yao Qingyan Zhang Weisong Shi 27 268 0 30 Sep 2020
Multi-modal Experts Network for Autonomous Driving Shihong Fang A. Choromańska MoE 28 5 0 18 Sep 2020
Feature Space Augmentation for Long-Tailed Data Peng Chu Xiao Bian Shaopeng Liu Haibin Ling 41 238 0 09 Aug 2020
Learning Object-conditioned Exploration using Distributed Soft Actor Critic Ayzaan Wahid Austin Stone Kevin Chen Brian Ichter Alexander Toshev 27 22 0 29 Jul 2020
Quantum-soft QUBO Suppression for Accurate Object Detection Junde Li Swaroop Ghosh 34 22 0 28 Jul 2020
Decoding CNN based Object Classifier Using Visualization Abhishek Mukhopadhyay Imon Mukherjee P. Biswas 24 3 0 15 Jul 2020
Machine learning for electronically excited states of molecules Julia Westermayr P. Marquetand 35 258 0 10 Jul 2020
PathGAN: Local Path Planning with Attentive Generative Adversarial Networks Dooseop Choi Seung-Jun Han Kyoung‐Wook Min Jeongdan Choi GAN 19 5 0 08 Jul 2020
Reinforcement Learning based Control of Imitative Policies for Near-Accident Driving Zhangjie Cao Erdem Biyik Woodrow Z. Wang Allan Raventos Adrien Gaidon Guy Rosman Dorsa Sadigh 34 65 0 01 Jul 2020
Modeling Generalization in Machine Learning: A Methodological and Computational Study Pietro Barbiero Giovanni Squillero Alberto Tonda 18 35 0 28 Jun 2020
Learning predictive representations in autonomous driving to improve deep reinforcement learning D. Graves Nhat M. Nguyen Kimia Hassanzadeh Jun Jin SSL 24 12 0 26 Jun 2020
PCW-Net: Pyramid Combination and Warping Cost Volume for Stereo Matching Zhelun Shen Yuchao Dai Xibin Song Zhibo Rao Dingfu Zhou Liangjun Zhang 45 70 0 23 Jun 2020
Calibration of Model Uncertainty for Dropout Variational Inference M. Laves Sontje Ihler Karl-Philipp Kortmann T. Ortmaier BDL UQCV 32 18 0 20 Jun 2020
An Embarrassingly Simple Approach for Trojan Attack in Deep Neural Networks Ruixiang Tang Mengnan Du Ninghao Liu Fan Yang Xia Hu AAML 23 184 0 15 Jun 2020
Deep Reinforcement Learning for Human-Like Driving Policies in Collision Avoidance Tasks of Self-Driving Cars Ran Emuna A. Borowsky Armin Biess 42 22 0 07 Jun 2020
QEBA: Query-Efficient Boundary-Based Blackbox Attack Huichen Li Xiaojun Xu Xiaolu Zhang Shuang Yang Yue Liu AAML 21 178 0 28 May 2020
Deep Learning-Based Automated Image Segmentation for Concrete Petrographic Analysis Yu Song Zilong Huang Chuanyue Shen Humphrey Shi D. Lange SSeg 29 80 0 21 May 2020
SINVAD: Search-based Image Space Navigation for DNN Image Classifier Test Input Generation Sungmin Kang R. Feldt S. Yoo AAML 26 32 0 19 May 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 16 79 0 18 May 2020
Attentional Bottleneck: Towards an Interpretable Deep Driving Network Jinkyu Kim Mayank Bansal 27 13 0 08 May 2020
LGSVL Simulator: A High Fidelity Simulator for Autonomous Driving Guodong Rong B. Shin Hadi Tabatabaee Q. Lu Steve Lemke ... Eric Sterner Keunhae Ushiroda Michael Reyes Dmitry Zelenkovsky Seonman Kim 26 389 0 07 May 2020
DeepRacing: Parameterized Trajectories for Autonomous Racing Trent Weiss Madhur Behl 27 15 0 06 May 2020
Bullseye Polytope: A Scalable Clean-Label Poisoning Attack with Improved Transferability H. Aghakhani Dongyu Meng Yu-Xiang Wang Christopher Kruegel Giovanni Vigna AAML 31 105 0 01 May 2020
Towards Robust Classification with Image Quality Assessment Yeli Feng Yiyu Cai 19 0 0 14 Apr 2020
NNV: The Neural Network Verification Tool for Deep Neural Networks and Learning-Enabled Cyber-Physical Systems Hoang-Dung Tran Xiaodong Yang Diego Manzanas Lopez Patrick Musau L. V. Nguyen Weiming Xiang Stanley Bak Taylor T. Johnson 34 239 0 12 Apr 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao Adnan Siraj Rakin Deliang Fan AAML 18 155 0 30 Mar 2020
Pedestrian Models for Autonomous Driving Part II: High-Level Models of Human Behavior F. Camara Nicola Bellotto S. Coşar Florian Weber Dimitris Nathanael ... Gustav Markkula Anna Schieben F. Tango N. Merat Charles W. Fox 21 105 0 26 Mar 2020
PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks Junfeng Guo Zelun Kong Cong Liu AAML 35 1 0 24 Mar 2020
Mix-n-Match: Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning Jize Zhang B. Kailkhura T. Y. Han UQCV 30 219 0 16 Mar 2020
Learning hierarchical relationships for object-goal navigation Yiding Qiu Anwesan Pal H. Christensen 38 8 0 15 Mar 2020
A Survey of End-to-End Driving: Architectures and Training Methods Ardi Tampuu Maksym Semikin Naveed Muhammad D. Fishman Tambet Matiisen 3DV 23 229 0 13 Mar 2020
Off-Road Drivable Area Extraction Using 3D LiDAR Data Biao Gao A. Xu Yancheng Pan Xijun Zhao W. Yao Huijing Zhao 3DPC 36 25 0 10 Mar 2020
On the Road with 16 Neurons: Mental Imagery with Bio-inspired Deep Neural Networks Alice Plebe M. Lio 17 2 0 09 Mar 2020
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 167 224 0 08 Mar 2020
Communication optimization strategies for distributed deep neural network training: A survey Shuo Ouyang Dezun Dong Yemao Xu Liquan Xiao 32 12 0 06 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 72 63 0 02 Mar 2020
BADGR: An Autonomous Self-Supervised Learning-Based Navigation System G. Kahn Pieter Abbeel Sergey Levine SSL 19 262 0 13 Feb 2020
Arachne: Search Based Repair of Deep Neural Networks Jeongju Sohn Sungmin Kang S. Yoo KELM 32 46 0 28 Dec 2019
Reinforcement Learning-based Visual Navigation with Information-Theoretic Regularization Qiaoyun Wu Kai Xu Jun Wang Mingliang Xu Xiaoxi Gong Tianyi Zhou 19 30 0 09 Dec 2019
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 17 16 0 06 Dec 2019
DeepGoal: Learning to Drive with driving intention from Human Control Demonstration Huifang Ma Yue Wang R. Xiong S. Kodagoda Li Tang 26 6 0 28 Nov 2019
End-to-End Model-Free Reinforcement Learning for Urban Driving using Implicit Affordances Marin Toromanoff É. Wirbel Fabien Moutarde OffRL 44 205 0 25 Nov 2019
Universal adversarial examples in speech command classification Jon Vadillo Roberto Santana AAML 34 29 0 22 Nov 2019
Where is the Bottleneck of Adversarial Learning with Unlabeled Data? Jingfeng Zhang Bo Han Gang Niu Tongliang Liu Masashi Sugiyama 30 6 0 20 Nov 2019
NeuronInspect: Detecting Backdoors in Neural Networks via Output Explanations Xijie Huang M. Alzantot Mani B. Srivastava AAML 22 103 0 18 Nov 2019
CSPN++: Learning Context and Resource Aware Convolutional Spatial Propagation Networks for Depth Completion Xinjing Cheng Peng Wang Chenye Guan Ruigang Yang 20 222 0 13 Nov 2019
Argoverse: 3D Tracking and Forecasting with Rich Maps Ming-Fang Chang John Lambert Patsorn Sangkloy Jagjeet Singh Sławomir Bąk ... De Wang Peter Carr Simon Lucey Deva Ramanan James Hays 3DPC 67 1,279 0 06 Nov 2019