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of 4
pro vyhledávání: '"Zhukov, Dimitri"'
Autor:
Zhukov, Dimitri, Rocco, Ignacio, Laptev, Ivan, Sivic, Josef, Schönberger, Johannes L., Tekin, Bugra, Pollefeys, Marc
Narrated instructional videos often show and describe manipulations of similar objects, e.g., repairing a particular model of a car or laptop. In this work we aim to reconstruct such objects and to localize associated narrations in 3D. Contrary to th
Externí odkaz:
http://arxiv.org/abs/2109.04409
Autor:
Miech, Antoine, Zhukov, Dimitri, Alayrac, Jean-Baptiste, Tapaswi, Makarand, Laptev, Ivan, Sivic, Josef
Learning text-video embeddings usually requires a dataset of video clips with manually provided captions. However, such datasets are expensive and time consuming to create and therefore difficult to obtain on a large scale. In this work, we propose i
Externí odkaz:
http://arxiv.org/abs/1906.03327
Autor:
Zhukov, Dimitri, Alayrac, Jean-Baptiste, Cinbis, Ramazan Gokberk, Fouhey, David, Laptev, Ivan, Sivic, Josef
In this paper we investigate learning visual models for the steps of ordinary tasks using weak supervision via instructional narrations and an ordered list of steps instead of strong supervision via temporal annotations. At the heart of our approach
Externí odkaz:
http://arxiv.org/abs/1903.08225
Autor:
Zhukov, Dimitri
Publikováno v:
Computer Vision and Pattern Recognition [cs.CV]. PSL University, 2021. English. ⟨NNT : ⟩
Computer Vision and Pattern Recognition [cs.CV]. PSL University, 2021. English
Computer Vision and Pattern Recognition [cs.CV]. PSL University, 2021. English
The goal of this thesis is to develop methods for automatic understanding of video content. We focus on instructional videos that demonstrate how to perform complex tasks, such as making an omelette or hanging a picture. First, we investigate learnin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::444aa118a15f10a9c92504ffa57b87b4
https://hal.inria.fr/tel-03518272
https://hal.inria.fr/tel-03518272