WACV-2024-Papers Application Navigation and Autonomous Driving Title Repo Paper Video 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation ➖ Driving through the Concept Gridlock: Unraveling Explainability Bottlenecks in Automated Driving StreamMapNet: Streaming Mapping Network for Vectorized Online HD Map Construction RGB-X Object Detection via Scene-Specific Fusion Modules NVAutoNet: Fast and Accurate 360° 3D Visual Perception for Self Driving ➖ MagneticPillars: Efficient Point Cloud Registration through Hierarchized Birds-Eye-View Cell Correspondence Refinement ➖ ➖ Have we Ever Encountered this Before? Retrieving Out-of-Distribution Road Obstacles from Driving Scenes ➖ ➖ OVeNet: Offset Vector Network for Semantic Segmentation BEVMap: Map-Aware BEV Modeling for 3D Perception ➖ Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition ➖ ➖ LidarCLIP or: How I Learned to Talk to Point Clouds Self-Supervised Learning for Place Representation Generalization Across Appearance Changes ➖ PAIR: Perception Aided Image Restoration for Natural Driving Conditions ➖ Lightweight Thermal Super-Resolution and Object Detection for Robust Perception in Adverse Weather Conditions ➖ ➖ Concurrent Band Selection and Traversability Estimation from Long-Wave Hyperspectral Imagery in Off-Road Settings ➖ ➖ RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding ➖ Re-VoxelDet: Rethinking Neck and Head Architectures for High-Performance Voxel-based 3D Detection Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning ➖ Robust Object Detection in Challenging Weather Conditions ➖ Graph(Graph): A Nested Graph-based Framework for Early Accident Anticipation Alleviating Foreground Sparsity for Semi-Supervised Monocular 3D Object Detection
