DeepMapping2: Self-Supervised Large-Scale LiDAR Map Optimization
Multi-Robot Scene Completion: Towards Task-Agnostic Collaborative Perception
Self-Supervised Visual Place Recognition by Mining Temporal and Feature Neighborhoods
V2X-Sim: Multi-Agent Collaborative Perception Dataset and Benchmark for Autonomous Driving
Learning Distilled Collaboration Graph for Multi-Agent Perception
Fooling LiDAR Perception via Adversarial Trajectory Perturbation
3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception
Deep unsupervised learning of 3D point clouds via graph topology inference and filtering
Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling
FoldingNet: Point cloud auto-encoder via deep grid deformation