3 accepted papers
Large Vision-Language Models (LVLMs) and Multimodal Large Language Models (MLLMs) have demonstrated outstanding performance in various general multimodal applications and have shown increasing promise in specialized domains. However, their potential in the insurance domain--characterized by diverse…
3D Gaussian Splatting (3DGS) has become one of the most promising 3D reconstruction technologies. However, label noise in real-world scenarios--such as moving objects, non-Lambertian surfaces, and shadows--often leads to reconstruction errors. Existing 3DGS-Bsed anti-noise reconstruction methods eit…
A significant challenge facing current optical flow methods is the difficulty in generalizing them well to the real world. This is mainly due to the lack of large-scale real-world datasets and existing self-supervised methods are limited by indirect loss and occlusions resulting in fuzzy outcomes. T…