Talking Papers Podcast
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Are you ready to explore the fascinating world of cutting-edge research in computer vision, machine learning, artificial intelligence, graphics, and beyond? Join us on this podcast by researchers, for researchers, as we venture into the heart of groundbreaking academic papers.
At Talking Papers, we've reimagined the way research is shared. In each episode, we engage in insightful discussions with the main authors of academic papers, offering you a unique opportunity to dive deep into the minds behind the innovation.
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Just like a well-structured research paper, each episode takes you on a journey through the academic landscape. We provide a concise TL;DR (abstract) to set the stage, followed by a thorough exploration of related work, approach, results, conclusions, and a peek into future work.
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Talking Papers Podcast
Cristian Rodriguez-Opazo - DORi
Paper title:
"DORi: Discovering Object Relationships for Moment Localization of a Natural Language Query in a Video"
Authors: Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, Stephen Gould
Abstract:
This paper studies the task of temporal moment localization in a long untrimmed video using natural language query. Given a query sentence, the goal is to determine the start and end of the relevant segment within the video. Our key innovation is to learn a video feature embedding through a language-conditioned message-passing algorithm suitable for temporal moment localization which captures the relationships between humans, objects and activities in the video. These relationships are obtained by a spatial subgraph that contextualized the scene representation using detected objects and human features. Moreover, a temporal sub-graph captures the activities within the video through time. Our method is evaluated on three standard benchmark datasets, and we also introduce YouCook II as a new benchmark for this task. Experiments show our method outperforms state-of-the-art methods on these datasets, confirming the effectiveness of our approach
RESOURCES
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Cristian's page: https://crodriguezo.github.io/
Code:
https://github.com/crodriguezo/DORi
Related papers:
"Proposal free temporal moment localization" : https://bit.ly/3EX1qCM
"Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs" : https://bit.ly/3zt4aXA
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Recorded on March, 26th 2021.
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