DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
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Why your 3D models look flat, and how to fix it
MY easy way to colour 3D objects that actually works.
Want to take your digital art to the next level by blending 3D objects seamlessly into 2D environments using Photoshop? This step-by-step tutorial will teach you exactly how to import, position, and ...
With up to six fingers that can bend in multiple directions, the innovative tool could one day be used to carry out tasks in tight spaces ...
Why today’s AI systems struggle with consistency and how emerging world models aim to give machines a steady grasp of space ...
Abstract: Accurate 3D multi-object tracking (MOT) is crucial for autonomous driving, as it enables robust perception, navigation, and planning in complex environments. While deep learning-based ...
Abstract: In the advancing domain of autonomous driving, this research focuses on enhancing 3D Multi-Object Tracking (3D-MOT). Pedestrians are particularly vulnerable in urban environments, and robust ...
├── configs/ │ └── pointpillars.yaml │ ├── datasets/ │ └── nuscenes_dataset.py │ ├── models/ │ ├── pointpillars.py │ ├── pillar_encoder.py │ └── losses.py │ ├── utils ...
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