Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Ali Diba"'
Autor:
Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Publikováno v:
CVPR
Action segmentation refers to inferring boundaries of semantically consistent visual concepts in videos and is an important requirement for many video understanding tasks. For this and other video understanding tasks, supervised approaches have achie
Autor:
Tinne Tuytelaars, Hugo Van hamme, Timothy Callemein, Toon Goedemé, Luc Van Gool, Ali Diba, Luc Van Eycken, Tom Roussel, Wim Boes, Floris De Feyter
Reality TV shows have gained popularity, motivating many production houses to bring new variants for us to watch. Compared to traditional TV shows, reality TV shows have spontaneous unscripted footage. Computer vision techniques could partially repla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7452356bf718230c029f1962e4d97cb8
https://lirias.kuleuven.be/handle/123456789/660407
https://lirias.kuleuven.be/handle/123456789/660407
Autor:
Mehdi Noroozi, Juergen Gall, Mohsen Fayyaz, Ehsan Adeli, Luc Van Gool, Ali Diba, Emad Bahrami
Publikováno v:
CVPR
While state-of-the-art 3D Convolutional Neural Networks (CNN) achieve very good results on action recognition datasets, they are computationally very expensive and require many GFLOPs. While the GFLOPs of a 3D CNN can be decreased by reducing the tem
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94731cf9b54ec2221cb6c4dc80f760a2
http://arxiv.org/abs/2011.08652
http://arxiv.org/abs/2011.08652
Autor:
Jürgen Gall, Manohar Paluri, Vivek Sharma, Luc Van Gool, Mohsen Fayyaz, Rainer Stiefelhagen, Ali Diba
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585570
ECCV (5)
Computer Vision – ECCV 2020-16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
ECCV (5)
Computer Vision – ECCV 2020-16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part V
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Computer Vision – ECCV 2020
Video recognition has been advanced in recent years by benchmarks with rich annotations. However, research is still mainly limited to human action or sports recognition - focusing on a highly specific video understanding task and thus leaving a signi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c8ae495a519c2fe9f2f1d120e6bb6b7e
https://doi.org/10.1007/978-3-030-58558-7_35
https://doi.org/10.1007/978-3-030-58558-7_35
Publikováno v:
International Journal of Computer Vision, 124(2), 115-131. Springer Netherlands
In this paper, a new method for generating object and action proposals in images and videos is proposed. It builds on activations of different convolutional layers of a pretrained CNN, combining the localization accuracy of the early layers with the
Publikováno v:
ICCV
In this paper, we are interested in self-supervised learning the motion cues in videos using dynamic motion filters for a better motion representation to finally boost human action recognition in particular. Thus far, the vision community has focused
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aea643579b3b170ae9eb56108ef55f47
Autor:
Ali Diba, Kevin Campanella, Kurt Vause, Jeffrey Leighton, Christian Andreasen, Heather Himmelberger, Jennifer Santini
Publikováno v:
Proceedings of the Water Environment Federation. 2016:462-490
Publikováno v:
CVPR
Convolutional neural networks rely on image texture and structure to serve as discriminative features to classify the image content. Image enhancement techniques can be used as preprocessing steps to help improve the overall image quality and in turn
Autor:
Dries Hulens, Tinne Tuytelaars, Luc Van Gool, Toon Goedemé, Joost Vennekens, Bram Aerts, Luc Van Eycken, Hugo Van hamme, Tom Roussel, Ali Diba, Punarjay Chakravarty, Jeroen Zegers
Publikováno v:
MultiMedia Modeling ISBN: 9783319736020
MMM (1)
MMM (1)
In this paper, we demonstrate a system that automates the process of recording video lectures in classrooms. Through special hard-ware (lecturer and audience facing cameras and microphone arrays), we record multiple points of view of the lecture. Per
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::858d44e1b2ab8243e75b98b4d2c560ad
https://doi.org/10.1007/978-3-319-73603-7_42
https://doi.org/10.1007/978-3-319-73603-7_42