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 359 篇，第 5 / 8 页
- CVPR 2024ICP-Flow: LiDAR Scene Flow Estimation with ICP
- CVPR 2024Improving Distant 3D Object Detection Using 2D Box Supervision
- CVPR 2024Inlier Confidence Calibration for Point Cloud Registration
- CVPR 2024Instantaneous Perception of Moving Objects in 3D
- CVPR 2024KPConvX: Modernizing Kernel Point Convolution with Kernel Attention
- CVPR 2024LiDAR-based Person Re-identification
- CVPR 2024LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes
- CVPR 2024LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis
- CVPR 2024LidaRF: Delving into Lidar for Neural Radiance Field on Street Scenes
- CVPR 2024LiSA: LiDAR Localization with Semantic Awareness
- CVPR 2024Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
- CVPR 2024LSK3DNet: Towards Effective and Efficient 3D Perception with Large Sparse Kernels
- CVPR 2024MCD: Diverse Large-Scale Multi-Campus Dataset for Robot Perception
- CVPR 2024Memory-based Adapters for Online 3D Scene Perception
- CVPR 2024Multi-Space Alignments Towards Universal LiDAR Segmentation
- CVPR 2024Multiview Aerial Visual RECognition (MAVREC): Can Multi-view Improve Aerial Visual Perception?
- CVPR 2024OneFormer3D: One Transformer for Unified Point Cloud Segmentation
- CVPR 2024PAPR in Motion: Seamless Point-level 3D Scene Interpolation
- CVPR 2024PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds
- CVPR 2024Perception-Oriented Video Frame Interpolation via Asymmetric Blending
- CVPR 2024PerceptionGPT: Effectively Fusing Visual Perception into LLM
- CVPR 2024PixelRNN: In-pixel Recurrent Neural Networks for End-to-end-optimized Perception with Neural Sensors
- CVPR 2024PlatoNeRF: 3D Reconstruction in Plato's Cave via Single-View Two-Bounce Lidar
- CVPR 2024Point Cloud Pre-training with Diffusion Models
- CVPR 2024Point Transformer V3: Simpler Faster Stronger
- CVPR 2024PointInfinity: Resolution-Invariant Point Diffusion Models
- CVPR 2024PointOBB: Learning Oriented Object Detection via Single Point Supervision
- CVPR 2024Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts
- CVPR 2024PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
- CVPR 2024RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
- CVPR 2024Resolution Limit of Single-Photon LiDAR
- CVPR 2024Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
- CVPR 2024SeMoLi: What Moves Together Belongs Together
- CVPR 2024Single-View Scene Point Cloud Human Grasp Generation
- CVPR 2024SIRA: Scalable Inter-frame Relation and Association for Radar Perception
- CVPR 2024Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
- CVPR 2024Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
- CVPR 2024StraightPCF: Straight Point Cloud Filtering
- CVPR 2024TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
- CVPR 2024TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
- CVPR 2024Text2Loc: 3D Point Cloud Localization from Natural Language
- CVPR 2024Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions
- CVPR 2024TULIP: Transformer for Upsampling of LiDAR Point Clouds
- CVPR 2024TUMTraf V2X Cooperative Perception Dataset
- CVPR 2024Unsupervised Template-assisted Point Cloud Shape Correspondence Network
- CVPR 2024Visual Point Cloud Forecasting enables Scalable Autonomous Driving
- CVPR 2024Weak-to-Strong 3D Object Detection with X-Ray Distillation
- ICLR 2024CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
- ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
- ICLR 2024LiDAR-PTQ: Post-Training Quantization for Point Cloud 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。