Video-language pre-training (VLP) has become increasingly important due to its ability to
generalize to various vision and language tasks. However, existing egocentric VLP …

The introduction of wearable video cameras (eg, GoPro) in the consumer market has
promoted video life-logging, motivating users to generate large amounts of video data. This …

The exponential growth of technology has resulted in a profusion of advanced imaging
devices and eases internet accessibility, leading to an increase in the creation and use of …

Video summarization has unprecedented importance to help us digest, browse, and search
today's ever-growing video collections. We propose a novel subset selection technique that …

In this manuscript, we offer a gentle review of submodularity and supermodularity and their
properties. We offer a plethora of submodular definitions; a full description of a number of …

What will the future be? We wonder! In this survey, we explore the gap between current
research in egocentric vision and the ever-anticipated future, where wearable computing …

We present a new computational model for gaze prediction in egocentric videos by
exploring patterns in temporal shift of gaze fixations (attention transition) that are dependent …

Highlight detection has the potential to significantly ease video browsing, but existing
methods often suffer from expensive supervision requirements, where human viewers must …

Abstract Information-theoretic quantities like entropy and mutual information have found
numerous uses in machine learning. It is well known that there is a strong connection …

Recent years have witnessed a resurgence of interest in video summarization. However,
one of the main obstacles to the research on video summarization is the user subjectivity …