LiDAR Perception papers, 2023–2026

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.

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

241 papers, page 4 of 5

151. CVPR 2024Point Cloud Pre-training with Diffusion Models
152. CVPR 2024Point Transformer V3: Simpler Faster Stronger
153. CVPR 2024PointInfinity: Resolution-Invariant Point Diffusion Models
154. CVPR 2024PointOBB: Learning Oriented Object Detection via Single Point Supervision
155. CVPR 2024Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts
156. CVPR 2024PTT: Point-Trajectory Transformer for Efficient Temporal 3D Object Detection
157. CVPR 2024RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR Features
158. CVPR 2024Resolution Limit of Single-Photon LiDAR
159. CVPR 2024Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion
160. CVPR 2024SeMoLi: What Moves Together Belongs Together
161. CVPR 2024Single-View Scene Point Cloud Human Grasp Generation
162. CVPR 2024SIRA: Scalable Inter-frame Relation and Association for Radar Perception
163. CVPR 2024Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
164. CVPR 2024Spherical Mask: Coarse-to-Fine 3D Point Cloud Instance Segmentation with Spherical Representation
165. CVPR 2024StraightPCF: Straight Point Cloud Filtering
166. CVPR 2024TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation
167. CVPR 2024TetraSphere: A Neural Descriptor for O(3)-Invariant Point Cloud Analysis
168. CVPR 2024Text2Loc: 3D Point Cloud Localization from Natural Language
169. CVPR 2024Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions
170. CVPR 2024TULIP: Transformer for Upsampling of LiDAR Point Clouds
171. CVPR 2024TUMTraf V2X Cooperative Perception Dataset
172. CVPR 2024Unsupervised Template-assisted Point Cloud Shape Correspondence Network
173. CVPR 2024Visual Point Cloud Forecasting enables Scalable Autonomous Driving
174. CVPR 2024Weak-to-Strong 3D Object Detection with X-Ray Distillation
175. CVPR 2023ALSO: Automotive Lidar Self-Supervision by Occupancy Estimation
176. CVPR 2023AnchorFormer: Point Cloud Completion From Discriminative Nodes
177. CVPR 2023Attention-Based Point Cloud Edge Sampling
178. CVPR 2023BEV-SAN: Accurate BEV 3D Object Detection via Slice Attention Networks
179. CVPR 2023Bi-LRFusion: Bi-Directional LiDAR-Radar Fusion for 3D Dynamic Object Detection
180. CVPR 2023Binarizing Sparse Convolutional Networks for Efficient Point Cloud Analysis
181. CVPR 2023Building Rearticulable Models for Arbitrary 3D Objects From 4D Point Clouds
182. CVPR 2023Collaboration Helps Camera Overtake LiDAR in 3D Detection
183. CVPR 2023CP3: Channel Pruning Plug-In for Point-Based Networks
184. CVPR 2023Curricular Object Manipulation in LiDAR-Based Object Detection
185. CVPR 2023CXTrack: Improving 3D Point Cloud Tracking With Contextual Information
186. CVPR 2023E2PN: Efficient SE(3)-Equivariant Point Network
187. CVPR 2023Efficient Hierarchical Entropy Model for Learned Point Cloud Compression
188. CVPR 2023FlatFormer: Flattened Window Attention for Efficient Point Cloud Transformer
189. CVPR 2023Frequency-Modulated Point Cloud Rendering With Easy Editing
190. CVPR 2023GD-MAE: Generative Decoder for MAE Pre-Training on LiDAR Point Clouds
191. CVPR 2023Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent With Learned Distance Functions
192. CVPR 2023GraVoS: Voxel Selection for 3D Point-Cloud Detection
193. CVPR 2023Hyperspherical Embedding for Point Cloud Completion
194. CVPR 2023HypLiLoc: Towards Effective LiDAR Pose Regression With Hyperbolic Fusion
195. CVPR 2023Implicit Surface Contrastive Clustering for LiDAR Point Clouds
196. CVPR 2023Instant Domain Augmentation for LiDAR Semantic Segmentation
197. CVPR 2023IterativePFN: True Iterative Point Cloud Filtering
198. CVPR 2023LaserMix for Semi-Supervised LiDAR Semantic Segmentation
199. CVPR 2023Learning To Measure the Point Cloud Reconstruction Loss in a Representation Space
200. CVPR 2023LiDAR-in-the-Loop Hyperparameter Optimization

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.