{"total":21,"rows":[{"id":"2405.15688","title":"UNION: Unsupervised 3D Object Detection using Object Appearance-based Pseudo-Classes","created":"2024-05-24","cited_by_count":22,"area":null},{"id":"2501.17821","title":"SSF: Sparse Long-Range Scene Flow for Autonomous Driving","created":"2025-01-29","cited_by_count":13,"area":null},{"id":"2511.01755","title":"3EED: Ground Everything Everywhere in 3D","created":"2025-11-03","cited_by_count":12,"area":null},{"id":"2406.10115","title":"Shelf-Supervised Cross-Modal Pre-Training for 3D Object Detection","created":"2024-06-14","cited_by_count":9,"area":null},{"id":"2508.17054","title":"DeltaFlow: An Efficient Multi-frame Scene Flow Estimation Method","created":"2025-08-23","cited_by_count":8,"area":null},{"id":"2503.08421","title":"Learning to Detect Objects from Multi-Agent LiDAR Scans without Manual Labels","created":"2025-03-11","cited_by_count":7,"area":null},{"id":"2512.01352","title":"OpenBox: Annotate Any Bounding Boxes in 3D","created":"2025-12-01","cited_by_count":6,"area":null},{"id":"2602.19053","title":"TeFlow: Enabling Multi-frame Supervision for Self-Supervised Feed-forward Scene Flow Estimation","created":"2026-02-22","cited_by_count":6,"area":null},{"id":"2409.07887","title":"UNIT: Unsupervised Online Instance Segmentation through Time","created":"2024-09-12","cited_by_count":5,"area":null},{"id":"2410.02646","title":"Learning 3D Perception from Others' Predictions","created":"2024-10-03","cited_by_count":4,"area":null},{"id":"2410.23085","title":"S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving","created":"2024-10-30","cited_by_count":4,"area":null},{"id":"2408.03790","title":"Vision-Language Guidance for LiDAR-based Unsupervised 3D Object Detection","created":"2024-08-07","cited_by_count":3,"area":null},{"id":"2501.09481","title":"MonoSOWA: Scalable monocular 3D Object detector Without human Annotations","created":"2025-01-16","cited_by_count":2,"area":null},{"id":"2407.14306","title":"Label-Free Model Failure Detection for Lidar-based Point Cloud Segmentation","created":"2024-07-19","cited_by_count":1,"area":null},{"id":"2601.05105","title":"UniLiPs: Unified LiDAR Pseudo-Labeling with Geometry-Grounded Dynamic Scene Decomposition","created":"2026-01-08","cited_by_count":1,"area":null},{"id":"2506.02914","title":"AutoExpert: Automating 3D LiDAR Annotation from Expert-Crafted Guidelines","created":"2025-06-03","cited_by_count":0,"area":null},{"id":"2509.23194","title":"Unsupervised Online 3D Instance Segmentation with Synthetic Sequences and Dynamic Loss","created":"2025-09-27","cited_by_count":0,"area":null},{"id":"2510.11632","title":"NV3D: Leveraging Spatial Shape Through Normal Vector-based 3D Object Detection","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2602.21484","title":"Unified Unsupervised and Sparsely-Supervised 3D Object Detection by Semantic Pseudo-Labeling and Prototype Learning","created":"2026-02-25","cited_by_count":0,"area":null},{"id":"2603.16742","title":"When the City Teaches the Car: Label-Free 3D Perception from Infrastructure","created":"2026-03-17","cited_by_count":0,"area":null},{"id":"2608.15796","title":"Emergent 3D Instance Segmentation from Self-Supervised Point Transformers","created":"2026-08-16","cited_by_count":0,"area":null}],"next_cursor":null}