{"total":35,"rows":[{"id":"2301.00493","title":"Argoverse 2: Next Generation Datasets for Self-Driving Perception and Forecasting","created":"2023-01-02","cited_by_count":707,"area":null},{"id":"2203.10642","title":"FUTR3D: A Unified Sensor Fusion Framework for 3D Detection","created":"2022-03-20","cited_by_count":194,"area":null},{"id":"2112.06375","title":"Embracing Single Stride 3D Object Detector with Sparse Transformer","created":"2021-12-13","cited_by_count":193,"area":null},{"id":"2206.09474","title":"3D Object Detection for Autonomous Driving: A Comprehensive Survey","created":"2022-06-19","cited_by_count":132,"area":null},{"id":"2208.11112","title":"DeepInteraction: 3D Object Detection via Modality Interaction","created":"2022-08-23","cited_by_count":125,"area":null},{"id":"2203.10314","title":"Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds","created":"2022-03-19","cited_by_count":102,"area":null},{"id":"2210.07372","title":"SWFormer: Sparse Window Transformer for 3D Object Detection in Point Clouds","created":"2022-10-13","cited_by_count":92,"area":null},{"id":"2112.09205","title":"AFDetV2: Rethinking the Necessity of the Second Stage for Object Detection from Point Clouds","created":"2021-12-16","cited_by_count":88,"area":null},{"id":"2203.09780","title":"Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion","created":"2022-03-18","cited_by_count":82,"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":"2207.08531","title":"DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection","created":"2022-07-18","cited_by_count":39,"area":null},{"id":"2305.15694","title":"Learning Occupancy for Monocular 3D Object Detection","created":"2023-05-25","cited_by_count":36,"area":null},{"id":"2305.06621","title":"PVT-SSD: Single-Stage 3D Object Detector with Point-Voxel Transformer","created":"2023-05-11","cited_by_count":21,"area":null},{"id":"2308.04383","title":"DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds","created":"2023-08-08","cited_by_count":14,"area":null},{"id":"2505.10685","title":"GaussianFormer3D: Multi-Modal Gaussian-based Semantic Occupancy Prediction with 3D Deformable Attention","created":"2025-05-15","cited_by_count":14,"area":null},{"id":"2304.04248","title":"Curricular Object Manipulation in LiDAR-based Object Detection","created":"2023-04-09","cited_by_count":12,"area":null},{"id":"2210.15365","title":"Li3DeTr: A LiDAR based 3D Detection Transformer","created":"2022-10-27","cited_by_count":11,"area":null},{"id":"2308.03982","title":"PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection","created":"2023-08-08","cited_by_count":9,"area":null},{"id":"2308.04054","title":"An Empirical Analysis of Range for 3D Object Detection","created":"2023-08-08","cited_by_count":9,"area":null},{"id":"2406.08152","title":"CT3D++: Improving 3D Object Detection with Keypoint-induced Channel-wise Transformer","created":"2024-06-12","cited_by_count":7,"area":null},{"id":"2407.04305","title":"Towards Stable 3D Object Detection","created":"2024-07-05","cited_by_count":7,"area":null},{"id":"2403.09230","title":"Improving Distant 3D Object Detection Using 2D Box Supervision","created":"2024-03-14","cited_by_count":6,"area":null},{"id":"2203.12944","title":"Transformers Meet Visual Learning Understanding: A Comprehensive Review","created":"2022-03-24","cited_by_count":5,"area":null},{"id":"2211.10850","title":"Context-Aware Data Augmentation for LIDAR 3D Object Detection","created":"2022-11-20","cited_by_count":5,"area":null},{"id":"2210.05018","title":"LidarNAS: Unifying and Searching Neural Architectures for 3D Point Clouds","created":"2022-10-10","cited_by_count":4,"area":null},{"id":"2403.00325","title":"Small, Versatile and Mighty: A Range-View Perception Framework","created":"2024-03-01","cited_by_count":4,"area":null},{"id":"2205.01142","title":"Cost-Aware Evaluation and Model Scaling for LiDAR-Based 3D Object Detection","created":"2022-05-02","cited_by_count":3,"area":null},{"id":"2303.05078","title":"Efficient Transformer-based 3D Object Detection with Dynamic Token Halting","created":"2023-03-09","cited_by_count":3,"area":null},{"id":"2303.14501","title":"Link Prediction for Flow-Driven Spatial Networks","created":"2023-03-25","cited_by_count":3,"area":null},{"id":"2405.02811","title":"PVTransformer: Point-to-Voxel Transformer for Scalable 3D Object Detection","created":"2024-05-05","cited_by_count":3,"area":null},{"id":"2309.16870","title":"LEF: Late-to-Early Temporal Fusion for LiDAR 3D Object Detection","created":"2023-09-28","cited_by_count":2,"area":null},{"id":"2310.10353","title":"Multimodal Object Query Initialization for 3D Object Detection","created":"2023-10-16","cited_by_count":2,"area":null},{"id":"2312.00068","title":"GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds","created":"2023-11-29","cited_by_count":2,"area":null},{"id":"2112.04421","title":"SoK: Vehicle Orientation Representations for Deep Rotation Estimation","created":"2021-12-08","cited_by_count":1,"area":null},{"id":"2407.16789","title":"What Matters in Range View 3D Object Detection","created":"2024-07-23","cited_by_count":0,"area":null}],"next_cursor":null}