3 citations · 4 across the 3 of their papers we have counts for
4 papers
Alleviating Over-segmentation Errors by Detecting Action Boundaries
Yuchi Ishikawa, Seito Kasai, Yoshimitsu Aoki +1
We propose an effective framework for the temporal action segmentation task, namely an Action Segment Refinement Framework (ASRF). Our model architecture consists of a long-term fe…
Retrieving and Highlighting Action with Spatiotemporal Reference
Seito Kasai, Yuchi Ishikawa, Masaki Hayashi +3
In this paper, we present a framework that jointly retrieves and spatiotemporally highlights actions in videos by enhancing current deep cross-modal retrieval methods. Our work tak…
Fast Soft Color Segmentation
Naofumi Akimoto, Huachun Zhu, Yanghua Jin +1
We address the problem of soft color segmentation, defined as decomposing a given image into several RGBA layers, each containing only homogeneous color regions. The resulting laye…
Dominant Codewords Selection with Topic Model for Action Recognition
Hirokatsu Kataoka, Masaki Hayashi, Kenji Iwata +3
In this paper, we propose a framework for recognizing human activities that uses only in-topic dominant codewords and a mixture of intertopic vectors. Latent Dirichlet allocation (…