{"total":18,"rows":[{"id":"2409.07414","title":"NVRC: Neural Video Representation Compression","created":"2024-09-11","cited_by_count":29,"area":null},{"id":"2304.03834","title":"WOMD-LiDAR: Raw Sensor Dataset Benchmark for Motion Forecasting","created":"2023-04-07","cited_by_count":28,"area":null},{"id":"2503.12382","title":"RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds","created":"2025-03-16","cited_by_count":12,"area":null},{"id":"2209.12512","title":"Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression","created":"2022-09-26","cited_by_count":9,"area":null},{"id":"2211.10916","title":"ECM-OPCC: Efficient Context Model for Octree-based Point Cloud Compression","created":"2022-11-20","cited_by_count":8,"area":null},{"id":"2402.02192","title":"RecNet: An Invertible Point Cloud Encoding through Range Image Embeddings for Multi-Robot Map Sharing and Reconstruction","created":"2024-02-03","cited_by_count":6,"area":null},{"id":"2406.00791","title":"Towards Point Cloud Compression for Machine Perception: A Simple and Strong Baseline by Learning the Octree Depth Level Predictor","created":"2024-06-02","cited_by_count":4,"area":null},{"id":"2405.01750","title":"PointCompress3D: A Point Cloud Compression Framework for Roadside LiDARs in Intelligent Transportation Systems","created":"2024-05-02","cited_by_count":2,"area":null},{"id":"2508.20466","title":"Re-Densification Meets Cross-Scale Propagation: Real-Time Neural Compression of LiDAR Point Clouds","created":"2025-08-28","cited_by_count":2,"area":null},{"id":"2504.17229","title":"Range Image-Based Implicit Neural Compression for LiDAR Point Clouds","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2510.08512","title":"Have We Scene It All? Scene Graph-Aware Deep Point Cloud Compression","created":"2025-10-09","cited_by_count":1,"area":null},{"id":"2601.12261","title":"DALD-PCAC: Density-Adaptive Learning Descriptor for Point Cloud Lossless Attribute Compression","created":"2026-01-18","cited_by_count":1,"area":null},{"id":"2603.25260","title":"Towards Practical Lossless Neural Compression for LiDAR Point Clouds","created":"2026-03-26","cited_by_count":1,"area":null},{"id":"2412.07302","title":"Compression of Large-Scale 3D Point Clouds Based on Joint Optimization of Point Sampling and Feature Extraction","created":"2024-12-10","cited_by_count":0,"area":null},{"id":"2508.01980","title":"On-the-Fly Object-aware Representative Point Selection in Point Cloud","created":"2025-08-04","cited_by_count":0,"area":null},{"id":"2510.20708","title":"ALICE-LRI: A General Method for Lossless Range Image Generation for Spinning LiDAR Sensors without Calibration Metadata","created":"2025-10-23","cited_by_count":0,"area":null},{"id":"2511.14070","title":"ELiC: Efficient LiDAR Geometry Compression via Cross-Bit-depth Feature Propagation and Bag-of-Encoders","created":"2025-11-18","cited_by_count":0,"area":null},{"id":"2608.00687","title":"Proteus: A Truncation-Robust Entropy Model for Progressive LiDAR Compression","created":"2026-08-01","cited_by_count":0,"area":null}],"next_cursor":null}