{"total":25,"rows":[{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"area":null},{"id":"2110.02210","title":"Mix3D: Out-of-Context Data Augmentation for 3D Scenes","created":"2021-10-05","cited_by_count":126,"area":null},{"id":"2103.06422","title":"Holistic 3D Scene Understanding from a Single Image with Implicit Representation","created":"2021-03-11","cited_by_count":94,"area":null},{"id":"2212.05867","title":"ALSO: Automotive Lidar Self-supervision by Occupancy estimation","created":"2022-12-12","cited_by_count":68,"area":null},{"id":"2210.08061","title":"Motion Inspired Unsupervised Perception and Prediction in Autonomous Driving","created":"2022-10-14","cited_by_count":59,"area":null},{"id":"2110.06923","title":"Object DGCNN: 3D Object Detection using Dynamic Graphs","created":"2021-10-13","cited_by_count":58,"area":null},{"id":"2112.02205","title":"Behind the Curtain: Learning Occluded Shapes for 3D Object Detection","created":"2021-12-04","cited_by_count":58,"area":null},{"id":"2101.06784","title":"Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving","created":"2021-01-17","cited_by_count":45,"area":null},{"id":"2208.03624","title":"Graph R-CNN: Towards Accurate 3D Object Detection with Semantic-Decorated Local Graph","created":"2022-08-07","cited_by_count":42,"area":null},{"id":"2206.08355","title":"FWD: Real-time Novel View Synthesis with Forward Warping and Depth","created":"2022-06-16","cited_by_count":39,"area":null},{"id":"2108.09481","title":"DSP-SLAM: Object Oriented SLAM with Deep Shape Priors","created":"2021-08-21","cited_by_count":30,"area":null},{"id":"2207.02466","title":"GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation","created":"2022-07-06","cited_by_count":24,"area":null},{"id":"2101.06860","title":"Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild","created":"2021-01-18","cited_by_count":19,"area":null},{"id":"2112.07787","title":"Revisiting 3D Object Detection From an Egocentric Perspective","created":"2021-12-14","cited_by_count":18,"area":null},{"id":"2110.00273","title":"From SLAM to Situational Awareness: Challenges and Survey","created":"2021-10-01","cited_by_count":15,"area":null},{"id":"2204.05599","title":"HyperDet3D: Learning a Scene-conditioned 3D Object Detector","created":"2022-04-12","cited_by_count":14,"area":null},{"id":"2209.04061","title":"im2nerf: Image to Neural Radiance Field in the Wild","created":"2022-09-08","cited_by_count":11,"area":null},{"id":"2208.08621","title":"Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes","created":"2022-08-18","cited_by_count":8,"area":null},{"id":"2209.05222","title":"A Review on Visual-SLAM: Advancements from Geometric Modelling to Learning-based Semantic Scene Understanding","created":"2022-09-12","cited_by_count":8,"area":null},{"id":"2308.05478","title":"Reviewing 3D Object Detectors in the Context of High-Resolution 3+1D Radar","created":"2023-08-10","cited_by_count":8,"area":null},{"id":"2111.12728","title":"Online Adaptation for Implicit Object Tracking and Shape Reconstruction in the Wild","created":"2021-11-24","cited_by_count":6,"area":null},{"id":"2404.04118","title":"GNNBENCH: Fair and Productive Benchmarking for Single-GPU GNN System","created":"2024-04-05","cited_by_count":3,"area":null},{"id":"2107.10898","title":"Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior","created":"2021-07-22","cited_by_count":1,"area":null},{"id":"2208.14796","title":"3DLG-Detector: 3D Object Detection via Simultaneous Local-Global Feature Learning","created":"2022-08-31","cited_by_count":0,"area":null},{"id":"2303.01804","title":"Are All Point Clouds Suitable for Completion? Weakly Supervised Quality Evaluation Network for Point Cloud Completion","created":"2023-03-03","cited_by_count":0,"area":null}],"next_cursor":null}