Ngoc Dung Huynh

According to our database, Ngoc Dung Huynh authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Falcon Perception.

Aviraj Bevli, Sofian Chaybouti, Yasser Dahou, Hakim Hacid, Ngoc Dung Huynh, Phuc H. Le-Khac, Sanath Narayan, Wamiq Reyaz Para, Ankit Singh

CoRR, March, 2026

2025

VisRes Bench: On Evaluating the Visual Reasoning Capabilities of VLMs.

Brigitta Malagurski Törtei, Yasser Dahou, Ngoc Dung Huynh, Wamiq Reyaz Para, Phuc H. Le-Khac, Ankit Singh, Sofian Chaybouti, Sanath Narayan

CoRR, December, 2025

AMoE: Agglomerative Mixture-of-Experts Vision Foundation Model.

Sofian Chaybouti, Sanath Narayan, Yasser Dahou, Phuc H. Le-Khac, Ankit Singh, Ngoc Dung Huynh, Wamiq Reyaz Para, Hilde Kuehne, Hakim Hacid

CoRR, December, 2025

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

Jingwei Zuo, Maksim Velikanov, Ilyas Chahed, Younes Belkada, Dhia Eddine Rhayem, Guillaume Kunsch, Hakim Hacid, Hamza Yous, Brahim Farhat, Ibrahim Khadraoui, Mugariya Farooq, Giulia Campesan, Ruxandra Cojocaru, Yasser Dahou, Shi Hu, Iheb Chaabane, Puneesh Khanna, Mohamed El Amine Seddik, Ngoc Dung Huynh, Phuc H. Le-Khac, Leen Al Qadi, Billel Mokeddem, Mohamed Chami, Abdalgader Abubaker, Mikhail Lubinets, Kacper Piskorski, Slim Frikha

CoRR, July, 2025

SVLA: A Unified Speech-Vision-Language Assistant with Multimodal Reasoning and Speech Generation.

Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Hakim Hacid, Sunil Aryal

CoRR, March, 2025

Visual question answering: from early developments to recent advances - a survey.

Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal, Imran Razzak, Hakim Hacid

CoRR, January, 2025

Vision-Language Models Can't See the Obvious.

Yasser Dahou, Ngoc Dung Huynh, Phuc H. Le-Khac, Wamiq Reyaz Para, Ankit Singh, Sanath Narayan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

The STOIC2021 COVID-19 AI challenge: Applying reusable training methodologies to private data.

Luuk H. Boulogne, Julian Lorenz, Daniel Kienzle, Robin Schön, Katja Ludwig, Rainer Lienhart, Simon Jégou, Guang Li, Cong Chen, Qi Wang, Derik Shi, Mayug Maniparambil, Dominik Müller, Silvan Mertes, Niklas Schröter, Fabio Hellmann, Miriam Elia, Ine Dirks, Matías Nicolás Bossa, Abel Díaz Berenguer, Tanmoy Mukherjee, Jef Vandemeulebroucke, Hichem Sahli, Nikos Deligiannis, Panagiotis Gonidakis, Ngoc Dung Huynh, Imran Razzak, Mohamed Reda Bouadjenek, Mario Verdicchio, Pasquale Borrelli, Marco Aiello, James A. Meakin, Alexander Lemm, Christoph Russ, Razvan Ionasec, Nikos Paragios, Bram van Ginneken, Marie-Pierre Revel

Medical Image Anal., 2024

SimpsonsVQA: Enhancing Inquiry-Based Learning with a Tailored Dataset.

Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal, Imran Razzak, Hakim Hacid

CoRR, 2024

2023

HUMS2023 Data Challenge Result Submission.

Dhiraj Neupane, Lakpa Dorje Tamang, Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Sunil Aryal

CoRR, 2023

2022

Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey.

Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Imran Razzak, Kevin Lee, Chetan Arora, Ali Hassani, Arkady B. Zaslavsky

CoRR, 2022

Jarvis: A Voice-based Context-as-a-Service Mobile Tool for a Smart Home Environment.

Ngoc Dung Huynh, Mohamed Reda Bouadjenek, Ali Hassani, Imran Razzak, Kevin Lee, Chetan Arora, Arkady B. Zaslavsky

Proceedings of the 23rd IEEE International Conference on Mobile Data Management, 2022