We observe a common characteristic between the classical propagation-based image
matting and the Gaussian process (GP)-based regression. The former produces closer …

Although deep learning has achieved great success in many computer vision tasks, its
performance relies on the availability of large datasets with densely annotated samples …

This paper presents a cognition-inspired agnostic framework for building a map for Visual
Place Recognition. This framework draws inspiration from human-memorability, utilizes the …

Remote sensing image has been widely used in many fields such as military
reconnaissance and earthquake relief. However, the complexity and diversity of the scene …

The scribble-and example-based colorization methods have fastidious requirements for
users, and the training process of deep neural networks for colorization is quite time …

This paper conducts a thorough examination of the 12th Video Browser Showdown (VBS)
competition, a well-established international benchmarking campaign for interactive video …

Surveillance cameras are everywhere, keeping an eye on pedestrians as they navigate
through a scene. With this context, our paper addresses the problem of pedestrian attribute …

Scene classification has established itself as a challenging research problem. Compared to
images of individual objects, scene images could be much more semantically complex and …

Currently, micro-videos are becoming one of the most representative products in the new
media age. Although the length of micro-videos is limited to cater to the fast pace of life and …

This research aimed to 1) measure Thai tourists' levels of perceived value of an authenticity
management of a Chiang Mai International Airport, Thailand, and 2) construct a model of an …