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autonomous driving

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Papers

Feedback from Pixels: Output Regulation via Learning-based Scene View Synthesis L4DC 2021 FOVEA: Foveated Image Magnification for Autonomous Navigation ICCV 2021 Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues ICCV 2021 Generalizable Pedestrian Detection: The Elephant in the Room CVPR 2021 Generalized Object Detection on Fisheye Cameras for Autonomous Driving: Dataset, Representations and Baseline WACV 2021 Geometry-Based Distance Decomposition for Monocular 3D Object Detection ICCV 2021 Geometry Uncertainty Projection Network for Monocular 3D Object Detection ICCV 2021 HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents ICLR 2021 HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps CVPR 2021 Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection WACV 2021 Influencing Towards Stable Multi-Agent Interactions CoRL 2021 Just Label What You Need: Fine-Grained Active Selection for P&P through Partially Labeled Scenes CoRL 2021 Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection CVPR 2021 LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents CVPR 2021 Large Scale Interactive Motion Forecasting for Autonomous Driving: The Waymo Open Motion Dataset ICCV 2021 Learning by Watching CVPR 2021 Learning To Drive From a World on Rails ICCV 2021 Learning without Knowing: Unobserved Context in Continuous Transfer Reinforcement Learning L4DC 2021 Let's Get Dirty: GAN Based Data Augmentation for Camera Lens Soiling Detection in Autonomous Driving WACV 2021 Leveraging on Deep Reinforcement Learning for Autonomous Safe Decision-Making in Highway On-ramp Merging (Student Abstract) AAAI 2021 LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network CVPR 2021 LiDAR R-CNN: An Efficient and Universal 3D Object Detector CVPR 2021 Local to Global: Efficient Visual Localization for a Monocular Camera WACV 2021 LOKI: Long Term and Key Intentions for Trajectory Prediction ICCV 2021 MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning ICCV 2021