Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Estefania Talavera"'
Autor:
Jonathan Omara, Estefania Talavera, Daniel Otim, Dan Turcza, Emmanuel Ofumbi, Godliver Owomugisha
Publikováno v:
Frontiers in Artificial Intelligence, Vol 6 (2023)
This study investigates crop disease monitoring with real-time information feedback to smallholder farmers. Proper crop disease diagnosis tools and information about agricultural practices are key to growth and development in the agricultural sector.
Externí odkaz:
https://doaj.org/article/9e83b1d4593b47ec9f7574537325cddd
Publikováno v:
IEEE Access, Vol 9, Pp 17495-17506 (2021)
Eating habits are learned throughout the early stages of our lives. However, it is not easy to be aware of how our food-related routine affects our healthy living. In this work, we address the unsupervised discovery of nutritional habits from egocent
Externí odkaz:
https://doaj.org/article/d0f7740fefdf415aab366696ec96a4c2
The classification of indoor scenes is a critical component in various applications, such as intelligent robotics for assistive living. While deep learning has significantly advanced this field, models often suffer from reduced performance due to ima
Externí odkaz:
http://arxiv.org/abs/2408.13029
Autor:
Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Farhan Akram, Estefania Talavera, Syeda Furruka Banu, Petia Radeva, Domenec Puig
Publikováno v:
IEEE Access, Vol 7, Pp 39069-39082 (2019)
Wearable sensors (e.g., lifelogging cameras) represent very useful tools to monitor people's daily habits and lifestyle. Wearable cameras are able to continuously capture different moments of the day of their wearers, their environment, and interacti
Externí odkaz:
https://doaj.org/article/9123dc28b54940d4a3d62cbde83622b3
Emotion recognition is relevant for human behaviour understanding, where facial expression and speech recognition have been widely explored by the computer vision community. Literature in the field of behavioural psychology indicates that gait, descr
Externí odkaz:
http://arxiv.org/abs/2405.13903
Autor:
Costa, Willams de Lima, Martinez, Estefania Talavera, Figueiredo, Lucas Silva, Teichrieb, Veronica
Emotion recognition is the task of classifying perceived emotions in people. Previous works have utilized various nonverbal cues to extract features from images and correlate them to emotions. Of these cues, situational context is particularly crucia
Externí odkaz:
http://arxiv.org/abs/2305.03500
Publikováno v:
Neural Computing and Applications. 34(8):6571-6574
(Neural Computing and Applications, (2021), 33, 24, (16937-16949), 10.1007/s00521-021-06282-2)Unfortunately, the article was published with some errors in Tables 1, 3, 5, and 7 and in the captions of Figures 1, 2, and 3 in the online version of the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdc53552e73db48cecc5690aa8c4a951
https://hdl.handle.net/11370/eaacb86a-1a5a-4290-91ab-99559734e740
https://hdl.handle.net/11370/eaacb86a-1a5a-4290-91ab-99559734e740
Autor:
Kayleigh Boekhoudt, Estefania Talavera
Publikováno v:
AVSS 2022-18th IEEE International Conference on Advanced Video and Signal-Based Surveillance
Human-related crime recognition from surveillance videos becomes an even more challenging task when dealing with relatively similar human actions. We propose a transformer-based model that relies on the spatial-temporal representation of extracted sk
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d46da8e3e849f6b08e9a8ddcd544faa
https://doi.org/10.1109/avss56176.2022.9959414
https://doi.org/10.1109/avss56176.2022.9959414
Publikováno v:
IEEE Access, Vol 9, Pp 17495-17506 (2021)
IEEE Access, 9, 17495-17506. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Dipòsit Digital de la UB
Universidad de Barcelona
IEEE Access, 9, 17495-17506. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Dipòsit Digital de la UB
Universidad de Barcelona
Eating habits are learned throughout the early stages of our lives. However, it is not easy to be aware of how our food-related routine affects our healthy living. In this work, we address the unsupervised discovery of nutritional habits from egocent
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::011ce71177f88568731b9e7425607f43
https://doi.org/10.1109/ACCESS.2021.3053175
https://doi.org/10.1109/ACCESS.2021.3053175
Autor:
Petia Radeva, Farhan Akram, Md. Mostafa Kamal Sarker, Hatem A. Rashwan, Syeda Furruka Banu, Estefania Talavera, Domenec Puig
Publikováno v:
IEEE Access, 7, 39069-39082. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
IEEE Access, Vol 7, Pp 39069-39082 (2019)
IEEE Access, Vol 7, Pp 39069-39082 (2019)
Wearable sensors (e.g., lifelogging cameras) represent very useful tools to monitor people's daily habits and lifestyle. Wearable cameras are able to continuously capture different moments of the day of their wearers, their environment, and interacti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39dffcade7dd81f8cbeeab975c158995
https://doi.org/10.1109/access.2019.2902225
https://doi.org/10.1109/access.2019.2902225