activity
20202025
most citedATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos

8 citations · 12 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CL2025

Falcon-H1: A Family of Hybrid-Head Language Models Redefining Efficiency and Performance

Jingwei Zuo, Maksim Velikanov, Ilyas Chahed +24

In this report, we introduce Falcon-H1, a new series of large language models (LLMs) featuring hybrid architecture designs optimized for both high performance and efficiency across…

cs.CV2024★ 1 cited

Harnessing Frozen Unimodal Encoders for Flexible Multimodal Alignment

Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali +3

Recent contrastive multimodal vision-language models like CLIP have demonstrated robust open-world semantic understanding, becoming the standard image backbones for vision-language…

cs.CL2024★ 2 cited

Falcon2-11B Technical Report

Quentin Malartic, Nilabhra Roy Chowdhury, Ruxandra Cojocaru +14

We introduce Falcon2-11B, a foundation model trained on over five trillion tokens, and its multimodal counterpart, Falcon2-11B-vlm, which is a vision-to-text model. We report our f…

cs.CL2024

ViSpeR: Multilingual Audio-Visual Speech Recognition

Sanath Narayan, Yasser Abdelaziz Dahou Djilali, Ankit Singh +2

This work presents an extensive and detailed study on Audio-Visual Speech Recognition (AVSR) for five widely spoken languages: Chinese, Spanish, English, Arabic, and French. We hav…

cs.CV2024

Do Vision and Language Encoders Represent the World Similarly?

Mayug Maniparambil, Raiymbek Akshulakov, Yasser Abdelaziz Dahou Djilali +4

Aligned text-image encoders such as CLIP have become the de facto model for vision-language tasks. Furthermore, modality-specific encoders achieve impressive performances in their…

cs.CV2023

Learning Saliency From Fixations

Yasser Abdelaziz Dahou Djilali, Kevin McGuiness, Noel O'Connor

We present a novel approach for saliency prediction in images, leveraging parallel decoding in transformers to learn saliency solely from fixation maps. Models typically rely on co…

cs.CV2023

Do VSR Models Generalize Beyond LRS3?

Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Eustache Le Bihan +3

The Lip Reading Sentences-3 (LRS3) benchmark has primarily been the focus of intense research in visual speech recognition (VSR) during the last few years. As a result, there is an…

cs.LG2023

One-Step Distributional Reinforcement Learning

Mastane Achab, Reda Alami, Yasser Abdelaziz Dahou Djilali +2

Reinforcement learning (RL) allows an agent interacting sequentially with an environment to maximize its long-term expected return. In the distributional RL (DistrRL) paradigm, the…

cs.CV2022★ 1 cited

Dynamic Channel Selection in Self-Supervised Learning

Tarun Krishna, Ayush K. Rai, Yasser A. D. Djilali +3

Whilst computer vision models built using self-supervised approaches are now commonplace, some important questions remain. Do self-supervised models learn highly redundant channel…

cs.CV2020★ 8 cited

ATSal: An Attention Based Architecture for Saliency Prediction in 360 Videos

Yasser Dahou, Marouane Tliba, Kevin McGuinness +1

The spherical domain representation of 360 video/image presents many challenges related to the storage, processing, transmission and rendering of omnidirectional videos (ODV). Mode…