3 accepted papers
Affordance refers to the interactable functional properties of an object, and affordance segmentation aims to pixel-level segment the object functional parts in a given image, which is crucial for various interactive vision tasks. Existing methods address the affordance segmentation problem by utili…
Deep learning-based methods have achieved remarkable success in low-light image enhancement (LLIE). But most existing works are based on sRGB data and do not focus on the light effects in bright regions when enhancing low-light regions. This inevitably leads to excessive enhancement and saturation o…
With the rapid development of AI hardware accelerators, applying deep learning-based algorithms to solve various low-level vision tasks on mobile devices has gradually become possible. However, two main problems still need to be solved. Firstly, most low-level vision algorithms are task-specific and…