A Survey of Deep Learning Techniques for Autonomous Driving

17 October 2019

Papers citing "A Survey of Deep Learning Techniques for Autonomous Driving"

50 / 121 papers shown

Title
Enhancing Quantum Adversarial Robustness by Randomized Encodings Weiyuan Gong D. Yuan Weikang Li D. Deng AAML 19 19 0 05 Dec 2022
VeriX: Towards Verified Explainability of Deep Neural Networks Min Wu Haoze Wu Clark W. Barrett AAML 38 10 0 02 Dec 2022
Attribution-based XAI Methods in Computer Vision: A Review Kumar Abhishek Deeksha Kamath 27 18 0 27 Nov 2022
Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis Kaustav Chakraborty Somil Bansal 28 11 0 04 Nov 2022
Verifying And Interpreting Neural Networks using Finite Automata Marco Salzer Eric Alsmann Florian Bruse M. Lange AAML 25 3 0 02 Nov 2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving L. Yu Yifan Zhang Lanqing Hong Fei Chen Zhenguo Li 35 3 0 17 Oct 2022
Wheel Impact Test by Deep Learning: Prediction of Location and Magnitude of Maximum Stress S. Shin Ah-hyeon Jin Soyoung Yoo Sunghee Lee Chang-Gone Kim S. Heo Namwoo Kang 19 11 0 03 Oct 2022
Adversarial Attacks on Transformers-Based Malware Detectors Yash Jakhotiya Heramb Patil Jugal Rawlani Dr. Sunil B. Mane AAML 15 4 0 01 Oct 2022
Feature-based model selection for object detection from point cloud data Kairi Tokuda R. Shinkuma Takehiro Sato E. Oki 3DPC 26 1 0 26 Sep 2022
Partially Observable Markov Decision Processes in Robotics: A Survey M. Lauri David Hsu J. Pajarinen 55 95 0 21 Sep 2022
Towards Improving Calibration in Object Detection Under Domain Shift Muhammad Akhtar Munir M. H. Khan M. Sarfraz Mohsen Ali 19 22 0 15 Sep 2022
Understanding Time Variations of DNN Inference in Autonomous Driving Liangkai Liu Yanzhi Wang Weisong Shi AI4TS AI4CE 23 6 0 12 Sep 2022
A New Approach to Training Multiple Cooperative Agents for Autonomous Driving Ruiyang Yang Siheng Li Beihong Jin 21 0 0 05 Sep 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries Dongbin Na Sangwoo Ji Jong Kim AAML 27 17 0 24 Aug 2022
Design of secure and robust cognitive system for malware detection Sanket Shukla AAML 19 2 0 03 Aug 2022
OLLIE: Derivation-based Tensor Program Optimizer Liyan Zheng Haojie Wang Jidong Zhai Muyan Hu Zixuan Ma Tuowei Wang Shizhi Tang Lei Xie Kezhao Huang Zhihao Jia 40 3 0 02 Aug 2022
Towards Efficient Communications in Federated Learning: A Contemporary Survey Zihao Zhao Yuzhu Mao Yang Liu Linqi Song Ouyang Ye Xinlei Chen Wenbo Ding FedML 51 59 0 02 Aug 2022
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel Shubhi Shukla Manaar Alam Sarani Bhattacharya Debdeep Mukhopadhyay Pabitra Mitra AAML 17 2 0 01 Aug 2022
Statistical Hypothesis Testing Based on Machine Learning: Large Deviations Analysis P. Braca L. Millefiori A. Aubry S. Maranò A. De Maio P. Willett 29 12 0 22 Jul 2022
AugRmixAT: A Data Processing and Training Method for Improving Multiple Robustness and Generalization Performance Xiaoliang Liu S. Furao Jian Zhao Changhai Nie AAML 13 1 0 21 Jul 2022
GAMa: Cross-view Video Geo-localization Shruti Vyas C. L. P. Chen M. Shah AI4TS 9 16 0 06 Jul 2022
Incorporating Voice Instructions in Model-Based Reinforcement Learning for Self-Driving Cars Mingze Wang Ziyang Zhang Grace Hui Yang 21 1 0 21 Jun 2022
Density Regression and Uncertainty Quantification with Bayesian Deep Noise Neural Networks Daiwei Zhang Tianci Liu Jian Kang BDL UQCV 32 2 0 12 Jun 2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning Bat-Sheva Einbinder Yaniv Romano Matteo Sesia Yanfei Zhou UQCV 23 47 0 12 May 2022
Object Level Depth Reconstruction for Category Level 6D Object Pose Estimation From Monocular RGB Image Zhaoxin Fan Zhenbo Song Jian Xu Zhicheng Wang Kejian Wu Hongyan Liu Jun He 31 31 0 04 Apr 2022
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems Ruwan Wickramarachchi C. Henson A. Sheth 17 12 0 30 Mar 2022
A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration R. Hebbalaguppe Jatin Prakash Neelabh Madan Chetan Arora UQCV 17 42 0 25 Mar 2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support Seock-Hwan Noh Jahyun Koo Seunghyun Lee Jongse Park Jaeha Kung AI4CE 26 17 0 13 Mar 2022
Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks Nicola Garau N. Bisagno Zeno Sambugaro Nicola Conci 18 21 0 07 Mar 2022
Evaluating Object (mis)Detection from a Safety and Reliability Perspective: Discussion and Measures Andrea Ceccarelli Leonardo Montecchi 21 10 0 04 Mar 2022
Attacks and Faults Injection in Self-Driving Agents on the Carla Simulator -- Experience Report Niccolò Piazzesi Massimo Hong Andrea Ceccarelli AAML 16 5 0 25 Feb 2022
Estimation of Looming from LiDAR J. Yepes D. Raviv 18 0 0 22 Feb 2022
Calibrated Learning to Defer with One-vs-All Classifiers Rajeev Verma Eric Nalisnick 21 42 0 08 Feb 2022
Towards Training Reproducible Deep Learning Models Boyuan Chen Mingzhi Wen Yong Shi Dayi Lin Gopi Krishnan Rajbahadur Zhen Ming Z. Jiang SyDa 15 37 0 04 Feb 2022
A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops Simone Cerrato Vittorio Mazzia Francesco Salvetti Mauro Martini Simone Angarano Alessandro Navone Marcello Chiaberge 31 14 0 07 Dec 2021
Image prediction of disease progression by style-based manifold extrapolation T. Han Jakob Nikolas Kather F. Pedersoli M. Zimmermann S. Keil ... Fabian Kiessling Volkmar Schulz Christiane Kuhl S. Nebelung Daniel Truhn MedIm 19 3 0 22 Nov 2021
Yaw-Guided Imitation Learning for Autonomous Driving in Urban Environments Yandong Liu Chengzhong Xu Hui Kong 16 0 0 11 Nov 2021
Using Graph-Theoretic Machine Learning to Predict Human Driver Behavior Rohan Chandra Aniket Bera Dinesh Manocha 46 22 0 04 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training Erh-Chung Chen Che-Rung Lee AAML 24 26 0 03 Nov 2021
Improving Robustness of Deep Neural Networks for Aerial Navigation by Incorporating Input Uncertainty F. Arnez H. Espinoza A. Radermacher F. Terrier UQCV 19 7 0 26 Oct 2021
PropMix: Hard Sample Filtering and Proportional MixUp for Learning with Noisy Labels F. Cordeiro Vasileios Belagiannis Ian Reid G. Carneiro NoLa 22 18 0 22 Oct 2021
Safe Autonomous Racing via Approximate Reachability on Ego-vision Bingqing Chen Jonathan M Francis Jean Oh Eric Nyberg Sylvia L. Herbert 46 14 0 14 Oct 2021
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection Bo Sun Jiaxu Xing Hermann Blum Roland Siegwart César Cadena 36 12 0 06 Oct 2021
Theory of overparametrization in quantum neural networks Martín Larocca Nathan Ju Diego García-Martín Patrick J. Coles M. Cerezo 32 188 0 23 Sep 2021
Improving the Robustness of Adversarial Attacks Using an Affine-Invariant Gradient Estimator Wenzhao Xiang Hang Su Chang-rui Liu Yandong Guo Shibao Zheng AAML 27 5 0 13 Sep 2021
Reachability Is NP-Complete Even for the Simplest Neural Networks Marco Salzer M. Lange 17 25 0 30 Aug 2021
Advances in adversarial attacks and defenses in computer vision: A survey Naveed Akhtar Ajmal Saeed Mian Navid Kardan M. Shah AAML 26 235 0 01 Aug 2021
4C: A Computation, Communication, and Control Co-Design Framework for CAVs Liangkai Liu Shaoshan Liu Weisong Shi 19 6 0 02 Jul 2021
A Comparison for Patch-level Classification of Deep Learning Methods on Transparent Environmental Microorganism Images: from Convolutional Neural Networks to Visual Transformers Hechen Yang Chen Li Jinghua Zhang Penghui Zhao Ao Chen Xin Zhao Tao Jiang M. Grzegorzek 17 1 0 22 Jun 2021
Offline Reinforcement Learning as Anti-Exploration Shideh Rezaeifar Robert Dadashi Nino Vieillard Léonard Hussenot Olivier Bachem Olivier Pietquin M. Geist OffRL 32 51 0 11 Jun 2021