3d object detection
The task of identifying and localizing objects within three-dimensional space utilizing data from sources like stereo cameras or LiDAR, often critical in applications such as autonomous driving and robotics.
- CodeMerge: Codebook-Guided Model Merging for Robust Test-Time Adaptation in Autonomous Driving
- Object Concepts Emerge from Motion
- OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection
- OpenBox: Annotate Any Bounding Boxes in 3D
- RLGF: Reinforcement Learning with Geometric Feedback for Autonomous Driving Video Generation
- RayFusion: Ray Fusion Enhanced Collaborative Visual Perception
- Rooms from Motion: Un-posed Indoor 3D Object Detection as Localization and Mapping
- SQS: Enhancing Sparse Perception Models via Query-based Splatting in Autonomous Driving
- SpatialLM: Training Large Language Models for Structured Indoor Modeling
- TREND: Unsupervised 3D Representation Learning via Temporal Forecasting for LiDAR Perception
- Towards 3D Objectness Learning in an Open World