LiDAR Perception papers, 2023–2026
Point cloud detection
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 360 papers are tagged with this topic.
Key findings
- LiDAR Perception went from 84 papers in 2023 to 100 in 2026, roughly 1.2x in three years.
- CVPR publishes the most LiDAR Perception work: 242 papers from 2023 to 2026, 67% of the four-venue total.
- The fastest-growing overlap is with Multimodal LLMs: papers tagged with both rose from 1 in 2023 to 17 in 2026.
- Among the 5 topics under Autonomous Driving, it ranks #3 by 2026 paper count; the fastest grower in the group, Motion Planning, is up 2.4x versus 1.2x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 10 | 5 | 2 | 67 | 84 |
| 2024 | 19 | 5 | 4 | 62 | 90 |
| 2025 | 21 | 5 | 7 | 53 | 86 |
| 2026 | 25 | 5 | 10 | 60 | 100 |
Representative papers
Spread across years and venues so every edition shows up
- 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
All LiDAR Perception papers
67 papers, page 1 of 2
- CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
- CVPR 2023AnchorFormer: Point Cloud Completion From Discriminative Nodes
- CVPR 2023Attention-Based Point Cloud Edge Sampling
- CVPR 2023BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks
- CVPR 2023Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
- CVPR 2023Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
- CVPR 2023Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds
- CVPR 2023Collaboration Helps Camera Overtake LiDAR in 3D Detection
- CVPR 2023CP3: Channel Pruning Plug-In for Point-Based Networks
- CVPR 2023Curricular Object Manipulation in LiDAR-Based Object Detection
- CVPR 2023CXTrack: Improving 3D Point Cloud Tracking With Contextual Information
- CVPR 2023E2PN: Efficient SE(3)-Equivariant Point Network
- CVPR 2023Efficient Hierarchical Entropy Model for Learned Point Cloud Compression
- CVPR 2023FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
- CVPR 2023Frequency-Modulated Point Cloud Rendering With Easy Editing
- CVPR 2023GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
- CVPR 2023Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions
- CVPR 2023GraVoS: Voxel Selection for 3D Point-Cloud Detection
- CVPR 2023Hyperspherical Embedding for Point Cloud Completion
- CVPR 2023HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
- CVPR 2023Implicit Surface Contrastive Clustering for LiDAR Point Clouds
- CVPR 2023Instant Domain Augmentation for LiDAR Semantic Segmentation
- CVPR 2023IterativePFN: True Iterative Point Cloud Filtering
- CVPR 2023LaserMix for Semi-Supervised LiDAR Semantic Segmentation
- CVPR 2023Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space
- CVPR 2023LiDAR-in-the-Loop Hyperparameter Optimization
- CVPR 2023LiDAR2Map: In Defense of LiDAR-Based Semantic Map Construction Using Online Camera Distillation
- CVPR 2023LinK: Linear Kernel for LiDAR-Based 3D Perception
- CVPR 2023Mapping Degeneration Meets Label Evolution: Learning Infrared Small Target Detection With Single Point Supervision
- CVPR 2023Meta Architecture for Point Cloud Analysis
- CVPR 2023MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
- CVPR 2023MSF: Motion-Guided Sequential Fusion for Efficient 3D Object Detection From Point Cloud Sequences
- CVPR 2023MSMDFusion: Fusing LiDAR and Camera at Multiple Scales With Multi-Depth Seeds for 3D Object Detection
- CVPR 2023MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training
- CVPR 2023NerVE: Neural Volumetric Edges for Parametric Curve Extraction From Point Cloud
- CVPR 2023Neural Intrinsic Embedding for Non-Rigid Point Cloud Matching
- CVPR 2023NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds
- CVPR 2023OcTr: Octree-Based Transformer for 3D Object Detection
- CVPR 2023PEAL: Prior-Embedded Explicit Attention Learning for Low-Overlap Point Cloud Registration
- CVPR 2023Perception-Oriented Single Image Super-Resolution Using Optimal Objective Estimation
- CVPR 2023PillarNeXt: Rethinking Network Designs for 3D Object Detection in LiDAR Point Clouds
- CVPR 2023Point Cloud Forecasting as a Proxy for 4D Occupancy Forecasting
- CVPR 2023Point2Pix: Photo-Realistic Point Cloud Rendering via Neural Radiance Fields
- CVPR 2023PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees
- CVPR 2023PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering
- CVPR 2023PointConvFormer: Revenge of the Point-Based Convolution
- CVPR 2023Pointersect: Neural Rendering With Cloud-Ray Intersection
- CVPR 2023PointListNet: Deep Learning on 3D Point Lists
- CVPR 2023PointVector: A Vector Representation in Point Cloud Analysis
- CVPR 2023Poly-PC: A Polyhedral Network for Multiple Point Cloud Tasks at Once
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FAQ
- How many LiDAR Perception papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 360 in total: 84 in 2023, 90 in 2024, 86 in 2025, 100 in 2026.
- How many LiDAR Perception papers are at NeurIPS 2026?
- NeurIPS 2026 has 25 LiDAR Perception papers, versus 21 the year before.
- How many LiDAR Perception papers are at ICLR 2026?
- ICLR 2026 has 5 LiDAR Perception papers, versus 5 the year before.
- How many LiDAR Perception papers are at ICML 2026?
- ICML 2026 has 10 LiDAR Perception papers, versus 7 the year before.
- How many LiDAR Perception papers are at CVPR 2026?
- CVPR 2026 has 60 LiDAR Perception papers, versus 53 the year before.
- Which conference publishes the most LiDAR Perception papers?
- CVPR, with 242 papers from 2023 to 2026.