We present a self-calibrating polarising radiometric calibration method. From a set of images
taken from a single viewpoint under different unknown polarising angles, we recover the …

Wearable cognitive assistance (WCA) is an important emerging class of applications that are
both bandwidth intensive and latency sensitive. This well published genre of edge native …

Wearable Cognitive Assistance (WCA) is a rapidly evolving application that relies on
accurate computer vision models for optimal performance and user experience. However …

Existing fine-grained object recognition methods often require high-resolution images to
better discriminate the subordinate classes. However, this assumption does not always hold …

Deep learning has advanced through the combination of large datasets and computational
power, leading to the development of extensive pre-trained models like Vision Transformers …

An image is worth a thousand words, conveying information that goes beyond the visual
content therein. Traditional computer vision tasks focus on the recognition of tangible …

With the rapid growth in the scale of pre-trained foundation models, parameter-efficient fine-
tuning techniques have gained significant attention, among which Adapter Tuning is the …

In several practical supervised learning problems where we have a large amount of data
from distributed cameras or sensors, we can use domain knowledge to identify subsets of …

Computer vision based fine-grained recognition has received great attention in recent years.
Existing works focus on discriminative part localization and feature learning. In this paper, to …

In today's digital landscape, the staggering growth of video resources has resulted in a
wealth of visual, auditory, and textual information readily available on the internet. To fully …