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20212026
most citedPermutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment

1 citations · 1 across the 4 of their papers we have counts for

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cs.CV2025

Joint Self-Supervised Video Alignment and Action Segmentation

Ali Shah Ali, Syed Ahmed Mahmood, Mubin Saeed +3

We introduce a novel approach for simultaneous self-supervised video alignment and action segmentation based on a unified optimal transport framework. In particular, we first tackl…

cs.CV2023

Action Segmentation Using 2D Skeleton Heatmaps and Multi-Modality Fusion

Syed Waleed Hyder, Muhammad Usama, Anas Zafar +5

This paper presents a 2D skeleton-based action segmentation method with applications in fine-grained human activity recognition. In contrast with state-of-the-art methods which dir…

cs.CV2023★ 1 cited

Permutation-Aware Action Segmentation via Unsupervised Frame-to-Segment Alignment

Quoc-Huy Tran, Ahmed Mehmood, Muhammad Ahmed +4

This paper presents an unsupervised transformer-based framework for temporal activity segmentation which leverages not only frame-level cues but also segment-level cues. This is in…

cs.CV2022

Timestamp-Supervised Action Segmentation with Graph Convolutional Networks

Hamza Khan, Sanjay Haresh, Awais Ahmed +4

We introduce a novel approach for temporal activity segmentation with timestamp supervision. Our main contribution is a graph convolutional network, which is learned in an end-to-e…

cs.CV2021

Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering

Sateesh Kumar, Sanjay Haresh, Awais Ahmed +3

We present a novel approach for unsupervised activity segmentation which uses video frame clustering as a pretext task and simultaneously performs representation learning and onlin…

cs.CV2021

Learning by Aligning Videos in Time

Sanjay Haresh, Sateesh Kumar, Huseyin Coskun +4

We present a self-supervised approach for learning video representations using temporal video alignment as a pretext task, while exploiting both frame-level and video-level informa…