Impressive performance on point cloud semantic segmentation has been ach...
In recent years, cross-modal domain adaptation has been studied on the p...
Relying on large-scale training data with pixel-level labels, previous e...
Pseudo-labels are widely employed in weakly supervised 3D segmentation t...
In this study, we investigate the task of few-shot Generative Domain
Ada...
Recent years have witnessed the great success of deep learning on variou...
Relying on deep supervised or self-supervised learning, previous methods...
Quantum computers are next-generation devices that hold promise to perfo...
Currently, single image inpainting has achieved promising results based ...
We review the AIM 2020 challenge on virtual image relighting and illumin...
This paper introduces the real image Super-Resolution (SR) challenge tha...
This paper reviews the AIM 2020 challenge on efficient single image
supe...
This paper reviews the video extreme super-resolution challenge associat...
Depth completion aims to recover a dense depth map from the sparse depth...
This paper is the report of the first Under-Display Camera (UDC) image
r...
Supervised depth estimation has achieved high accuracy due to the advanc...
In this paper, we propose an end-to-end group-wise deep co-saliency dete...
As an important and challenging problem in computer vision, learning bas...