激光雷达感知论文趋势 2023–2026
点云检测
统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 360 篇被归入该主题的论文。
主要结论
- 激光雷达感知论文从 2023 年的 84 篇增长到 2026 年的 100 篇，三年间扩大到约 1.2 倍。
- CVPR 是发激光雷达感知论文最多的会议，2023–2026 年共 242 篇，占四个会议总量的 67%。
- 交叉方向里涨得最快的是多模态大模型：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 17 篇。
- 在「自动驾驶」的 5 个主题里，它的 2026 年论文数排第 3；同组增长最快的运动规划是 2.4 倍，激光雷达感知是 1.2 倍。
各会议论文数
按年份和会议统计
| 年份 | NeurIPS | ICLR | ICML | CVPR | 合计 |
|---|---|---|---|---|---|
| 2023 | 10 | 5 | 2 | 67 | 84 |
| 2024 | 19 | 5 | 4 | 62 | 90 |
| 2025 | 21 | 5 | 7 | 53 | 86 |
| 2026 | 25 | 5 | 10 | 60 | 100 |
代表论文
按年份和会议均匀挑选，方便快速看到每一届的样貌
- NeurIPS 2026BiLi: Bridging the Last Mile in LiDAR Localization
- ICML 2026PACE: Post-Causal Entropy Modeling for Learned LiDAR Point Cloud Compression
- ICLR 2026GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
- CVPR 2026Adaptive 3D Perception for Small Aerial Targets Under Sparse Sampling
- NeurIPS 2025Optimal Neural Compressors for the Rate-Distortion-Perception Tradeoff
- ICML 2025Towards Learning to Complete Anything in Lidar
- ICLR 2025Point Cluster: A Compact Message Unit for Communication-Efficient Collaborative Perception
- CVPR 2025DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region
- NeurIPS 2024Inference on the Change Point under a High Dimensional Covariance Shift
- ICML 2024How Learning by Reconstruction Produces Uninformative Features For Perception
- ICLR 2024CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
- CVPR 2024GLiDR: Topologically Regularized Graph Generative Network for Sparse LiDAR Point Clouds
- NeurIPS 2023Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
- ICML 2023Robust Perception through Equivariance
- ICLR 2023LiftedCL: Lifting Contrastive Learning for Human-Centric Perception
- CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
- NeurIPS 2026CMI-Trans: Cross Modal Inconsistency-aware Transport for HSI-LiDAR Classification
- ICML 2026OBJVanish: Prompt-Driven Generation of Physically Realizable 3D LiDAR-Invisible Objects
- ICLR 2026Point-Focused Attention Meets Context-Scan State Space: Robust Biological Visual Perception for Point Cloud Representation
- CVPR 2026Bezier Degradation Modeling for LiDAR-based Human Motion Capture
全部激光雷达感知论文
共 75 篇，第 2 / 2 页
- NeurIPS 2024Inference on the Change Point under a High Dimensional Covariance Shift
- NeurIPS 2024Just Add $100 More: Augmenting Pseudo-LiDAR Point Cloud for Resolving Class-imbalance Problem
- NeurIPS 2024LION: Linear Group RNN for 3D Object Detection in Point Clouds
- NeurIPS 2024LiT: Unifying LiDAR "Languages" with LiDAR Translator
- NeurIPS 2024Nonparametric Regression for 3D Point Cloud Learning
- NeurIPS 2024One for All: Multi-Domain Joint Training for Point Cloud Based 3D Object Detection
- NeurIPS 2024Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning
- NeurIPS 2024Real-time Stereo-based 3D Object Detection for Streaming Perception
- NeurIPS 2024RETR: Multi-View Radar Detection Transformer for Indoor Perception
- NeurIPS 2024SE(3)-bi-equivariant Transformers for Point Cloud Assembly
- NeurIPS 2024Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation
- NeurIPS 2024TAPTRv2: Attention-based Position Update Improves Tracking Any Point
- NeurIPS 2024Towards Flexible 3D Perception: Object-Centric Occupancy Completion Augments 3D Object Detection
- NeurIPS 2024UAV3D: A Large-scale 3D Perception Benchmark for Unmanned Aerial Vehicles
- NeurIPS 2024Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
- NeurIPS 2023Asynchrony-Robust Collaborative Perception via Bird's Eye View Flow
- NeurIPS 2023CluB: Cluster Meets BEV for LiDAR-Based 3D Object Detection
- NeurIPS 2023ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
- NeurIPS 2023E2PNet: Event to Point Cloud Registration with Spatio-Temporal Representation Learning
- NeurIPS 2023InfoCD: A Contrastive Chamfer Distance Loss for Point Cloud Completion
- NeurIPS 2023PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds
- NeurIPS 2023PromptRestorer: A Prompting Image Restoration Method with Degradation Perception
- NeurIPS 2023Real3D-AD: A Dataset of Point Cloud Anomaly Detection
- NeurIPS 2023Uni3DETR: Unified 3D Detection Transformer
- NeurIPS 2023Unleash the Potential of Image Branch for Cross-modal 3D Object Detection
在 Claude、Cursor 里直接问这个趋势
接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。
可以直接复制这句话问 AI
用 paperlist 查激光雷达感知在 CVPR 2023–2026 的论文趋势，哪一年涨得最快？
AI 会调用的工具：get_topic_stats {"topic": "lidar-perception"}
常见问题
- 2023–2026 年四大会议一共有多少篇激光雷达感知论文？
- 共 360 篇，按年份分别是 2023 年 84 篇、2024 年 90 篇、2025 年 86 篇、2026 年 100 篇。
- NeurIPS 2026 有多少篇激光雷达感知论文？
- NeurIPS 2026 有 25 篇激光雷达感知论文，上一届是 21 篇。
- ICLR 2026 有多少篇激光雷达感知论文？
- ICLR 2026 有 5 篇激光雷达感知论文，上一届是 5 篇。
- ICML 2026 有多少篇激光雷达感知论文？
- ICML 2026 有 10 篇激光雷达感知论文，上一届是 7 篇。
- CVPR 2026 有多少篇激光雷达感知论文？
- CVPR 2026 有 60 篇激光雷达感知论文，上一届是 53 篇。
- 哪个会议的激光雷达感知论文最多？
- CVPR，2023–2026 年共 242 篇。