{"total":34,"rows":[{"id":"2407.07995","title":"Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation","created":"2024-07-10","cited_by_count":23,"area":null},{"id":"2501.10357","title":"Zero-Shot Monocular Scene Flow Estimation in the Wild","created":"2025-01-17","cited_by_count":22,"area":null},{"id":"2410.02031","title":"Neural Eulerian Scene Flow Fields","created":"2024-10-02","cited_by_count":15,"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":"2412.11682","title":"NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving","created":"2024-12-16","cited_by_count":12,"area":null},{"id":"2503.00803","title":"HiMo: High-Speed Objects Motion Compensation in Point Clouds","created":"2025-03-02","cited_by_count":12,"area":null},{"id":"2503.22328","title":"VoteFlow: Enforcing Local Rigidity in Self-Supervised Scene Flow","created":"2025-03-28","cited_by_count":11,"area":null},{"id":"2503.04718","title":"Floxels: Fast Unsupervised Voxel Based Scene Flow Estimation","created":"2025-03-06","cited_by_count":10,"area":null},{"id":"2504.10117","title":"AGO: Adaptive Grounding for Open World 3D Occupancy Prediction","created":"2025-04-14","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":"2505.09368","title":"RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo","created":"2025-05-14","cited_by_count":7,"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":"2504.03258","title":"TQD-Track: Temporal Query Denoising for 3D Multi-Object Tracking","created":"2025-04-04","cited_by_count":4,"area":null},{"id":"2507.01801","title":"AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction","created":"2025-07-02","cited_by_count":4,"area":null},{"id":"2508.18506","title":"DoGFlow: Self-Supervised LiDAR Scene Flow via Cross-Modal Doppler Guidance","created":"2025-08-25","cited_by_count":4,"area":null},{"id":"2503.14837","title":"SemanticFlow: A Self-Supervised Framework for Joint Scene Flow Prediction and Instance Segmentation in Dynamic Environments","created":"2025-03-19","cited_by_count":3,"area":null},{"id":"2512.10376","title":"RaLiFlow: Scene Flow Estimation with 4D Radar and LiDAR Point Clouds","created":"2025-12-11","cited_by_count":3,"area":null},{"id":"2603.14290","title":"RegFormer++: An Efficient Large-Scale 3D LiDAR Point Registration Network with Projection-Aware 2D Transformer","created":"2026-03-15","cited_by_count":3,"area":null},{"id":"2412.03054","title":"TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception","created":"2024-12-04","cited_by_count":2,"area":null},{"id":"2501.16754","title":"SSF-PAN: Semantic Scene Flow-Based Perception for Autonomous Navigation in Traffic Scenarios","created":"2025-01-28","cited_by_count":2,"area":null},{"id":"2511.12117","title":"RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving","created":"2025-11-15","cited_by_count":2,"area":null},{"id":"2601.12994","title":"AsyncBEV: Cross-modal Flow Alignment in Asynchronous 3D Object Detection","created":"2026-01-19","cited_by_count":2,"area":null},{"id":"2604.09411","title":"SynFlow: Scaling Up LiDAR Scene Flow Estimation with Synthetic Data","created":"2026-04-10","cited_by_count":2,"area":null},{"id":"2407.13337","title":"Long-Term 3D Point Tracking By Cost Volume Fusion","created":"2024-07-18","cited_by_count":0,"area":null},{"id":"2503.07167","title":"Temporal Overlapping Prediction: A Self-supervised Pre-training Method for LiDAR Moving Object Segmentation","created":"2025-03-10","cited_by_count":0,"area":null},{"id":"2511.18254","title":"UniFlow: Zero-Shot LiDAR Scene Flow for Autonomous Vehicles","created":"2025-11-23","cited_by_count":0,"area":null},{"id":"2604.04573","title":"SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2605.16922","title":"Motion Cues from Image-based Point Tracking for LiDAR Scene Flow Estimation","created":"2026-05-16","cited_by_count":0,"area":null},{"id":"2605.18507","title":"Weakly Supervised Cross-Modal Learning for 4D Radar Scene Flow Estimation","created":"2026-05-18","cited_by_count":0,"area":null},{"id":"2607.09741","title":"SWIFT: A Small-World Interaction Framework for Flow-Aware Trajectory Prediction in Autonomous Driving","created":"2026-07-03","cited_by_count":0,"area":null},{"id":"2607.29237","title":"CorrelationFlow: A Training-Free Geometric Approach for LiDAR Scene Flow Estimation","created":"2026-07-31","cited_by_count":0,"area":null},{"id":"2608.18864","title":"RVLoss: Runoff Vote Loss for Self-Supervised LiDAR Scene Flow Estimation","created":"2026-08-19","cited_by_count":0,"area":null},{"id":"2609.32596","title":"GAUGE: Group-Wise View-Inconsistency Rectification for Feed-Forward 4D Tracking","created":"2026-09-26","cited_by_count":0,"area":null},{"id":"2610.12895","title":"MeshBind: Point-to-Mesh Binding for Non-Rigid Scene Flow Automatic Annotation","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}