3 citations · 6 across the 4 of their papers we have counts for
4 papers
Temporal Transformer Networks with Self-Supervision for Action Recognition
Yongkang Zhang, Jun Li, Guoming Wu +4
In recent years, 2D Convolutional Networks-based video action recognition has encouragingly gained wide popularity; However, constrained by the lack of long-range non-linear tempor…
Action Shuffle Alternating Learning for Unsupervised Action Segmentation
Jun Li, Sinisa Todorovic
This paper addresses unsupervised action segmentation. Prior work captures the frame-level temporal structure of videos by a feature embedding that encodes time locations of frames…
Anchor-Constrained Viterbi for Set-Supervised Action Segmentation
Jun Li, Sinisa Todorovic
This paper is about action segmentation under weak supervision in training, where the ground truth provides only a set of actions present, but neither their temporal ordering nor w…
Set-Constrained Viterbi for Set-Supervised Action Segmentation
Jun Li, Sinisa Todorovic
This paper is about weakly supervised action segmentation, where the ground truth specifies only a set of actions present in a training video, but not their true temporal ordering.…