5 accepted papers
The remarkable interaction and reasoning capabilities of Large Language Models (LLMs) make them promising in collaborative Embodied AI tasks, particularly for Object-goal Navigation (ObjNav) tasks that require both decision-making and transparent explanation. However, existing work mainly uses LLMs …
Gaussian Splatting has significantly improved the quality of novel view synthesis with explicit Gaussian representation. However, we observed that existing 3D Gaussian Splatting methods (3DGS) often suffer from surface collapse issues on reflective regions, and thus produce inferior geometry and low…
We tackle the challenge of concurrent reconstruction at the part level with the RGB appearance and estimation of motion parameters for building digital twins of articulated objects using the 3D Gaussian Splatting (3D-GS) method. With two distinct sets of multi-view imagery, each depicting an object…
Embedded flight devices with visual capabilities have become essential for a wide range of applications. In aerial image detection, while many existing methods have partially addressed the issue of small target detection, challenges remain in optimizing small target detection and balancing detectio…
Re-identification (Re-ID) technology is important for wildlife conservation and intelligent farm management. With the development of deep learning, the performance of animal ReID based on computer vision has been improved. However, variations in animal pose push a negative impact on recognition perf…