Neural Radiance Fields (NeRF) are at the forefront of view synthesis technology, renowned for their versatility and ease of implementation across various applications. However, their integration into multimedia environments faces challenges: ...

Monocular 3D object detection has been an important part of autonomous driving support systems. In recent years, we have seen enormous improvement in both detection quality and runtime performance. This work presents MonoDSSM, the first to utilize ...

NeRF provides high reconstruction accuracy but is slow for dynamic scenes. Editable NeRF speeds up dynamics by editing static scenes, reducing retraining and succeeding in autonomous driving simulation. However, the lack of depth cameras and the ...

Domain generalization (DG) remains a significant challenge for perception based on deep neural networks (DNNs), where domain shifts occur due to synthetic data, lighting, weather, or location changes. Vision-language models (VLMs) marked a large ...$$

Vision Transformers with various attention modules have demonstrated superior performance on vision tasks. While using sparsity-adaptive attention, such as in DAT, has yielded strong results in image classification, the key-value pairs selected by ...

In the field of autonomous driving, Bird’s-Eye-View (BEV) perception has attracted increasing attention in the community since it provides more comprehensive information compared with pinhole front-view images and panoramas. Traditional BEV ...$\mathrm{}$$\mathrm{}$

Integrating diverse representations from complementary sensing modalities is essential for robust scene interpretation in autonomous driving. Deep learning architectures that fuse vision and range data have advanced 2D and 3D object detection in ...${\mathrm{}}^{\mathit{}}$

The objective of this paper is motion segmentation – discovering and segmenting the moving objects in a video. This is a much studied area with numerous careful, and sometimes complex, approaches and training schemes including: self-supervised ...

3D occupancy prediction based on multi-sensor fusion, crucial for a reliable autonomous driving system, enables fine-grained under- standing of 3D scenes. Previous fusion-based 3D occupancy predictions relied on depth estimation for processing 2D ...

Robust point features are essential when registering point cloud scenes with numerous instances. To enhance the point features, we propose KPConvFormer module. It leverages the advantages of attention mechanisms to focus on important features, ...

A spike camera is a specialized high-speed visual sensor that offers advantages such as high temporal resolution and high dynamic range compared to conventional frame cameras. These features provide the camera with significant advantages in many ...

Active 3D measurement, especially structured light (SL) has been widely used in various fields for its robustness against textureless or equivalent surfaces by low light illumination.In addition, reconstruction of large scenes by moving the SL ...