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autonomous driving

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Papers

The Devil Is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection ICCV 2021 The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021 TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving ICCV 2021 To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels CVPR 2021 Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation NeurIPS 2021 TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors CVPR 2021 Transfer Learning for Efficient Iterative Safety Validation AAAI 2021 VIL-100: A New Dataset and a Baseline Model for Video Instance Lane Detection ICCV 2021 Weakly Supervised Learning of Rigid 3D Scene Flow CVPR 2021 3D Packing for Self-Supervised Monocular Depth Estimation CVPR 2020 3D Part Guided Image Editing for Fine-Grained Object Understanding CVPR 2020 3DSSD: Point-Based 3D Single Stage Object Detector CVPR 2020 Action-based Representation Learning for Autonomous Driving CoRL 2020 ALGAMES: A Fast Solver for Constrained Dynamic Games RSS 2020 A Novel Learning Framework for Sampling-Based Motion Planning in Autonomous Driving AAAI 2020 Automatic Building and Labeling of HD Maps with Deep Learning AAAI 2020 AutoRemover: Automatic Object Removal for Autonomous Driving Videos AAAI 2020 BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning CVPR 2020 Benchmarking the Robustness of Semantic Segmentation Models CVPR 2020 ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings CVPR 2020 CoverNet: Multimodal Behavior Prediction Using Trajectory Sets CVPR 2020 Deep Imitative Models for Flexible Inference, Planning, and Control ICLR 2020 Deep Inverse Q-learning with Constraints NeurIPS 2020 Depth Sensing Beyond LiDAR Range CVPR 2020 Efficient Attention Calibration Network for Real-Time Semantic Segmentation ACML 2020