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Y. A. Dahou Djilali
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2020 – today
- 2024
- [c10]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Learning Saliency From Fixations. WACV 2024: 382-392 - [c9]Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Eustache Le Bihan, Haithem Boussaid, Ebtesam Almazrouei, Mérouane Debbah:
Do VSR Models Generalize Beyond LRS3? WACV 2024: 6621-6630 - [i9]Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Mohamed El Amine Seddik, Karttikeya Mangalam, Noel E. O'Connor:
Do Vision and Language Encoders Represent the World Similarly? CoRR abs/2401.05224 (2024) - [i8]Sanath Narayan, Yasser Abdelaziz Dahou Djilali, Ankit Singh, Eustache Le Bihan, Hakim Hacid:
ViSpeR: Multilingual Audio-Visual Speech Recognition. CoRR abs/2406.00038 (2024) - [i7]Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru, Mugariya Farooq, Giulia Campesan, Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Ankit Singh, Maksim Velikanov, Basma El Amel Boussaha, Mohammed Al-Yafeai, Hamza Alobeidli, Leen Al Qadi, Mohamed El Amine Seddik, Kirill Fedyanin, Réda Alami, Hakim Hacid:
Falcon2-11B Technical Report. CoRR abs/2407.14885 (2024) - 2023
- [j1]Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines:
One-Step Distributional Reinforcement Learning. Trans. Mach. Learn. Res. 2023 (2023) - [c8]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Vision Transformers are Inherently Saliency Learners. BMVC 2023: 771-774 - [c7]Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Haithem Boussaid, Ebtesam Almazrouei, Mérouane Debbah:
Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping. ICCV 2023: 13744-13755 - [i6]Mastane Achab, Réda Alami, Yasser Abdelaziz Dahou Djilali, Kirill Fedyanin, Eric Moulines:
One-Step Distributional Reinforcement Learning. CoRR abs/2304.14421 (2023) - [i5]Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Haithem Boussaid, Ebtesam Almazrouei, Mérouane Debbah:
Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping. CoRR abs/2308.06112 (2023) - [i4]Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Eustache Le Bihan, Haithem Boussaid, Ebtesam Almazrouei, Mérouane Debbah:
Do VSR Models Generalize Beyond LRS3? CoRR abs/2311.14063 (2023) - [i3]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness, Noel E. O'Connor:
Learning Saliency From Fixations. CoRR abs/2311.14073 (2023) - 2022
- [i2]Tarun Krishna, Ayush K. Rai, Yasser Abdelaziz Dahou Djilali, Alan F. Smeaton, Kevin McGuinness, Noel E. O'Connor:
Dynamic Channel Selection in Self-Supervised Learning. CoRR abs/2207.12065 (2022) - 2021
- [c6]Yasser Abdelaziz Dahou Djilali, Tarun Krishna, Kevin McGuinness, Noel E. O'Connor:
Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning. ICCV 2021: 15394-15404 - [c5]Yasser Abdelaziz Dahou Djilali, Kevin McGuinness
, Noel E. O'Connor:
Simple baselines can fool 360° saliency metrics. ICCVW 2021: 3743-3749 - 2020
- [c4]Yasser Abdelaziz Dahou Djilali, Mohamed Sayah, Kevin McGuinness
, Noel E. O'Connor:
On the Use of 3D CNNs for Video Saliency Modeling. VISIGRAPP (Revised Selected Papers) 2020: 453-476 - [c3]Yasser Dahou, Marouane Tliba, Kevin McGuinness
, Noel E. O'Connor:
ATSal: An Attention Based Architecture for Saliency Prediction in 360$^\circ $ Videos. ICPR Workshops (3) 2020: 305-320 - [c2]Yasser Abdelaziz Dahou Djilali, Mohamed Sayah, Kevin McGuinness, Noel E. O'Connor:
3DSAL: An Efficient 3D-CNN Architecture for Video Saliency Prediction. VISIGRAPP (4: VISAPP) 2020: 27-36 - [i1]Yasser Abdelaziz Dahou Djilali, Marouane Tliba, Kevin McGuinness, Noel E. O'Connor:
ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos. CoRR abs/2011.10600 (2020)
2010 – 2019
- 2018
- [c1]Y. A. Dahou Djilali, Y. Bakhtil, B. Kouninef, B. Senouci:
Performances Evaluation Study of VANET Communication Technologies for Smart and Autonomous Vehicles. ICUFN 2018: 79-84
Coauthor Index
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last updated on 2024-08-23 19:22 CEST by the dblp team
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