Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Ameni Trabelsi"'
Publikováno v:
WACV
Accurately estimating the position of static objects, such as traffic lights, from the moving camera of a self-driving car is a challenging problem. In this work, we present a system that improves the localization of static objects by jointly-optimiz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::300148817f3fdfb17e6f109aa328fdd9
https://doi.org/10.1109/wacv48630.2021.00211
https://doi.org/10.1109/wacv48630.2021.00211
Publikováno v:
WACV
In this paper, we present a novel, end-to-end 6D object pose estimation method that operates on RGB inputs. Our approach is composed of 2 main components: the first component classifies the objects in the input image and proposes an initial 6D pose e
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c9a2d2023cc11bc7d4e5520313549c3c
https://doi.org/10.1109/wacv48630.2021.00243
https://doi.org/10.1109/wacv48630.2021.00243
Publikováno v:
WACV
In this paper, we present an end-to-end future-prediction model that focuses on pedestrian safety. Specifically, our model uses previous video frames, recorded from the perspective of the vehicle, to predict if a pedestrian will cross in front of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e923f4c82e360b8fecebccf9213e2634
http://arxiv.org/abs/1910.09077
http://arxiv.org/abs/1910.09077
Autor:
Craig J. McClain, Ameni Trabelsi, Aliasghar Shahrajooihaghighi, Xiaoli Wei, Xiang Zhang, Biyun Shi, Hichem Frigui
Publikováno v:
SAC
The paper proposes a molecule specific normalization algorithm, called MSN, which adopts a robust surface fitting strategy to minimize the molecular profile difference of a group of house-keeping molecules across samples. The house-keeping molecules
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::50b7b46641150173001afe1700448c47
https://doi.org/10.1145/3297280.3297284
https://doi.org/10.1145/3297280.3297284
Autor:
Hichem Frigui, Xiang Zhang, Biyun Shi, Aliasghar Shahrjooihaghighi, Ameni Trabelsi, Xiaoli Wei
Publikováno v:
ISSPIT
Feature selection in Liquid Chromatography-Mass Spectrometry (LC-MS)-based metabolomics data (biomarker discovery) have become an important topic for machine learning researchers. High dimensionality and small sample size of LC-MS data make feature s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9127d6303061220d978d0c8521da3aba
https://pubmed.ncbi.nlm.nih.gov/30887013
https://pubmed.ncbi.nlm.nih.gov/30887013
Publikováno v:
Bioinformatics
Motivation Deep learning architectures have recently demonstrated their power in predicting DNA- and RNA-binding specificity. Existing methods fall into three classes: Some are based on convolutional neural networks (CNNs), others use recurrent neura
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8fb8ff4670e7562e17500f9788130f32
http://arxiv.org/abs/1901.10526
http://arxiv.org/abs/1901.10526