9 citations · 17 across the 9 of their papers we have counts for
11 papers
ViPo-MLLM: Visual-Pose Multimodal LLM for Gloss-Free Sign Language Translation
Ahmed Abul Hasanaath, Bicheng Xu, Mir Rayat Imtiaz Hossain +2
Gloss-free Sign Language Translation (SLT) translates sign language videos into spoken-language sentences without gloss annotations, avoiding costly labeling but requiring fine-gra…
USTM: Unified Spatial and Temporal Modeling for Continuous Sign Language Recognition
Ahmed Abul Hasanaath, Hamzah Luqman
Continuous sign language recognition (CSLR) requires precise spatio-temporal modeling to accurately recognize sequences of gestures in videos. Existing frameworks often rely on CNN…
Isharah: A Large-Scale Multi-Scene Dataset for Continuous Sign Language Recognition
Sarah Alyami, Hamzah Luqman, Sadam Al-Azani +3
Current benchmarks for sign language recognition (SLR) focus mainly on isolated SLR, while there are limited datasets for continuous SLR (CSLR), which recognizes sequences of signs…
SSLR: A Semi-Supervised Learning Method for Isolated Sign Language Recognition
Hasan Algafri, Hamzah Luqman, Sarah Alyami +1
Sign language is the primary communication language for people with disabling hearing loss. Sign language recognition (SLR) systems aim to recognize sign gestures and translate the…
CLIP-SLA: Parameter-Efficient CLIP Adaptation for Continuous Sign Language Recognition
Sarah Alyami, Hamzah Luqman
Continuous sign language recognition (CSLR) focuses on interpreting and transcribing sequences of sign language gestures in videos. In this work, we propose CLIP sign language adap…
FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images
Ahmed Abul Hasanaath, Hamzah Luqman, Raed Katib +1
Advances in deepfake research have led to the creation of almost perfect manipulations undetectable by human eyes and some deepfakes detection tools. Recently, several techniques h…
A Comparative Study of Continuous Sign Language Recognition Techniques
Sarah Alyami, Hamzah Luqman
Continuous Sign Language Recognition (CSLR) focuses on the interpretation of a sequence of sign language gestures performed continually without pauses. In this study, we conduct an…
Taqyim: Evaluating Arabic NLP Tasks Using ChatGPT Models
Zaid Alyafeai, Maged S. Alshaibani, Badr AlKhamissi +3
Large language models (LLMs) have demonstrated impressive performance on various downstream tasks without requiring fine-tuning, including ChatGPT, a chat-based model built on top…
Recursions Are All You Need: Towards Efficient Deep Unfolding Networks
Rawwad Alhejaili, Motaz Alfarraj, Hamzah Luqman +1
The use of deep unfolding networks in compressive sensing (CS) has seen wide success as they provide both simplicity and interpretability. However, since most deep unfolding networ…
Ensemble Learning using Transformers and Convolutional Networks for Masked Face Recognition
Mohammed R. Al-Sinan, Aseel F. Haneef, Hamzah Luqman
Wearing a face mask is one of the adjustments we had to follow to reduce the spread of the coronavirus. Having our faces covered by masks constantly has driven the need to understa…
ArabSign: A Multi-modality Dataset and Benchmark for Continuous Arabic Sign Language Recognition
Hamzah Luqman
Sign language recognition has attracted the interest of researchers in recent years. While numerous approaches have been proposed for European and Asian sign languages recognition,…