ICML 2025 accepted papers on Point clouds
19 of the 3,342 papers accepted at ICML 2025 (0.6%) are on Point clouds, compared with 0.5% at ICML 2024. They fall into 4 topics.
See ICML 2025 in the interactive map
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Topics and papers
Point cloud classification · 15 papers
- An in depth look at the Procrustes-Wasserstein distance: properties and barycenters (1 citation)
- BiAssemble: Learning Collaborative Affordance for Bimanual Geometric Assembly
- Efficient LiDAR Reflectance Compression via Scanning Serialization
- GAPrompt: Geometry-Aware Point Cloud Prompt for 3D Vision Model
- HybridGS: High-Efficiency Gaussian Splatting Data Compression using Dual-Channel Sparse Representation and Point Cloud Encoder
- InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory
- INRFlow: Flow Matching for INRs in Ambient Space
- SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds
- Exploring Vision Semantic Prompt for Efficient Point Cloud Understanding
- Floating-Point Neural Networks Can Represent Almost All Floating-Point Functions
- Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
- Point Cloud Dataset Distillation
and 3 more in the interactive map.
