Temporal action segmentation (TAS) in videos aims at densely identifying video frames in
minutes-long videos with multiple action classes. As a long-range video understanding task …

We address the problem of online action segmentation for egocentric procedural task
videos. While previous studies have mostly focused on offline action segmentation where …

Sequential Cross-Domain Recommendation (CDR) has been popularly studied to utilize
different domain knowledge and users' historical behaviors for the next-item prediction. In …

Sequential video understanding, as an emerging video understanding task, has driven lots
of researchers' attention because of its goal-oriented nature. This paper studies weakly …

We present a novel self-supervised approach for hierarchical representation learning and
segmentation of perceptual inputs in a streaming fashion. Our research addresses how to …

We present a novel method for few-shot video classification, which performs appearance
and temporal alignments. In particular, given a pair of query and support videos, we conduct …

Although existing methods for action anticipation have shown considerably improved
performance on the predictability of future events in videos, the way they exploit information …

This paper addresses a new problem of weakly-supervised online action segmentation in
instructional videos. We present a framework to segment streaming videos online at test time …

Self-supervised representation learning has proven constructive for skeleton-based action
recognition. For better performance, existing methods mainly focus on 1) multi-modal data …

Paired video and language data is naturally temporal concurrency, which requires the
modeling of the temporal dynamics within each modality and the temporal alignment across …