Establishing precise semantic correspondence across object instances in different images is
a fundamental and challenging task in computer vision. In this task difficulty arises often due …

Abstract Category-Agnostic Pose Estimation (CAPE) aims to localize keypoints on an object
of any category given few exemplars in an in-context manner. Prior arts involve …

Establishing semantic correspondence between pairs of images within the same category or
similar scenes is challenging due to large intra-class variations. In this paper, we introduce a …

Remarkable strides have been made in Enhanced-resolution image reconstruction in recent
times. In this research, we propose EDSR, a novel algorithm leveraging high-quality DIV2K …

Local feature detectors and descriptors serve various computer vision tasks, such as image
matching, visual localization, and 3D reconstruction. To address the extreme variations of …

In the majority of cases, the paired dataset is not easy to obtain, which makes it difficult to
train a supervised point cloud upsampling network directly. Therefore, we propose a novel …

Semantic correspondence remains a challenging task for establishing correspondences
between a pair of images with the same category or similar scenes due to the large intra …

We clarify that region-based position embedding (PE) is the 2D relative positional encoding
[14], in which region base is explained as the procedure to separate the source and target …