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 53 篇,第 1 / 2 页
- CVPR 20253D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation
- CVPR 2025Adapting Pre-trained 3D Models for Point Cloud Video Understanding via Cross-frame Spatio-temporal Perception
- CVPR 2025BIP3D: Bridging 2D Images and 3D Perception for Embodied Intelligence
- CVPR 2025BWFormer: Building Wireframe Reconstruction from Airborne LiDAR Point Cloud with Transformer
- CVPR 2025CamPoint: Boosting Point Cloud Segmentation with Virtual Camera
- CVPR 2025ColabSfM: Collaborative Structure-from-Motion by Point Cloud Registration
- CVPR 2025Continuous 3D Perception Model with Persistent State
- CVPR 2025DeepLA-Net: Very Deep Local Aggregation Networks for Point Cloud Analysis
- CVPR 2025DiffLO: Semantic-Aware LiDAR Odometry with Diffusion-Based Refinement
- CVPR 2025DiskVPS: Vanishing Point Detector via Hough Transform in a Disk Region
- CVPR 2025Distilling Spatially-Heterogeneous Distortion Perception for Blind Image Quality Assessment
- CVPR 2025DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering
- CVPR 2025Dual Focus-Attention Transformer for Robust Point Cloud Registration
- CVPR 2025DV-Matcher: Deformation-based Non-rigid Point Cloud Matching Guided by Pre-trained Visual Features
- CVPR 2025EdgeMovingNet: Edge-preserving Point Cloud Reconstruction via Joint Geometry Features
- CVPR 2025Evaluating Model Perception of Color Illusions in Photorealistic Scenes
- CVPR 2025EventFly: Event Camera Perception from Ground to the Sky
- CVPR 2025Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
- CVPR 2025ForestLPR: LiDAR Place Recognition in Forests Attentioning Multiple BEV Density Images
- CVPR 2025GBlobs: Explicit Local Structure via Gaussian Blobs for Improved Cross-Domain LiDAR-based 3D Object Detection
- CVPR 2025Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals
- CVPR 2025GraphI2P: Image-to-Point Cloud Registration with Exploring Pattern of Correspondence via Graph Learning
- CVPR 2025High-Fidelity Lightweight Mesh Reconstruction from Point Clouds
- CVPR 2025High-quality Point Cloud Oriented Normal Estimation via Hybrid Angular and Euclidean Distance Encoding
- CVPR 2025HOTFormerLoc: Hierarchical Octree Transformer for Versatile Lidar Place Recognition Across Ground and Aerial Views
- CVPR 2025Hyperdimensional Uncertainty Quantification for Multimodal Uncertainty Fusion in Autonomous Vehicles Perception
- CVPR 2025Implicit Correspondence Learning for Image-to-Point Cloud Registration
- CVPR 2025KVQ: Boosting Video Quality Assessment via Saliency-guided Local Perception
- CVPR 2025LidarGait++: Learning Local Features and Size Awareness from LiDAR Point Clouds for 3D Gait Recognition
- CVPR 2025LightLoc: Learning Outdoor LiDAR Localization at Light Speed
- CVPR 2025LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
- CVPR 2025Multi-Scale Neighborhood Occupancy Masked Autoencoder for Self-Supervised Learning in LiDAR Point Clouds
- CVPR 2025Neural Inverse Rendering from Propagating Light
- CVPR 2025NoPain: No-box Point Cloud Attack via Optimal Transport Singular Boundary
- CVPR 2025One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception
- CVPR 2025Parametric Point Cloud Completion for Polygonal Surface Reconstruction
- CVPR 2025Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception
- CVPR 2025PMA: Towards Parameter-Efficient Point Cloud Understanding via Point Mamba Adapter
- CVPR 2025PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection
- CVPR 2025PointSR: Self-Regularized Point Supervision for Drone-View Object Detection
- CVPR 2025PSA-SSL: Pose and Size-aware Self-Supervised Learning on LiDAR Point Clouds
- CVPR 2025RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions
- CVPR 2025RENO: Real-Time Neural Compression for 3D LiDAR Point Clouds
- CVPR 2025Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians
- CVPR 2025Spectral Informed Mamba for Robust Point Cloud Processing
- CVPR 2025SphereUFormer: A U-Shaped Transformer for Spherical 360 Perception
- CVPR 2025Toward Robust Neural Reconstruction from Sparse Point Sets
- CVPR 2025UniMamba: Unified Spatial-Channel Representation Learning with Group-Efficient Mamba for LiDAR-based 3D Object Detection
- CVPR 2025Unlocking Generalization Power in LiDAR Point Cloud Registration
- CVPR 2025Unveiling Visual Perception in Language Models: An Attention Head Analysis Approach
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。