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 target at the task of weakly-supervised action localization (WSAL), where only video-
level action labels are available during model training. Despite the recent progress, existing …

Seizure events can manifest as transient disruptions in the control of movements which may
be organized in distinct behavioral sequences, accompanied or not by other observable …

We present a novel method for weakly-supervised action segmentation and unseen error
detection in anomalous instructional videos. In the absence of an appropriate dataset for this …

Instructional videos are an important resource to learn procedural tasks from human
demonstrations. However, the instruction steps in such videos are typically short and sparse …

In this work, we consider the problem of sequence-to-sequence alignment for signals
containing outliers. Assuming the absence of outliers, the standard Dynamic Time Warping …

Learning generic joint representations for video and text by a supervised method requires a
prohibitively substantial amount of manually annotated video datasets. As a practical …

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 …

In this work, we consider the problem of weakly-supervised multi-step localization in
instructional videos. An established approach to this problem is to rely on a given list of …

We address the problem of action segmentation in instructional task videos with a small
number of weakly-labeled training videos and a large number of unlabeled videos, which …