Aug 14, 2022 · We propose an instructional video summarization network that combines a context-aware temporal video encoder and a segment scoring transformer.
Fig. 1: Summarizing Instructional Videos We introduce an approach for creating short visual summaries comprising steps that are most relevant to the task, ...
Oct 22, 2022 · We introduce an approach for creating short visual summaries comprising steps that are most relevant to the task, as well as salient in the video.
This is the official pytorch implementation of "TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency" ECCV 2022.
We propose an instructional video summarization network that combines a context-aware temporal video encoder and a segment scoring transformer. Using pseudo ...
TL;DW? Summarizing Instructional Videos with Task Relevance and Cross-Modal Saliency. https://doi.org/10.1007/978-3-031-19830-4_31 ·. Journal: Lecture Notes ...
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency. M. Narasimhan, A. Nagrani, C. Sun, M. Rubinstein, T. Darrell, A ...
Video Summarization aims to generate a short synopsis that summarizes the video content by selecting its most informative and important parts.
TL;DW? Summarizing Instructional Videos with Task Relevance & Cross-Modal Saliency ... Speech2Action:Cross-modal Supervision for Action Recognition · Arsha ...
My research focuses on self-supervised and multi-modal machine learning techniques for video recognition, including the use of sound and text to learn better ...