Shakib Yazdani

According to our database, Shakib Yazdani authored at least 9 papers between 2020 and 2025.

Collaborative distances:

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

2025

A Critical Study of Automatic Evaluation in Sign Language Translation.

Shakib Yazdani, Yasser Hamidullah, Cristina España-Bonet, Eleftherios Avramidis, Josef van Genabith

CoRR, October, 2025

Seeing, Signing, and Saying: A Vision-Language Model-Assisted Pipeline for Sign Language Data Acquisition and Curation from Social Media.

Shakib Yazdani, Yasser Hamidullah, Cristina España-Bonet, Josef van Genabith

CoRR, October, 2025

SONAR-SLT: Multilingual Sign Language Translation via Language-Agnostic Sentence Embedding Supervision.

Yasser Hamidullah, Shakib Yazdani, Cennet Oguz, Josef van Genabith, Cristina España-Bonet

CoRR, October, 2025

Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation.

Yasser Hamidullah, Koel Dutta Chowdury, Yusser Al Ghussin, Shakib Yazdani, Cennet Oguz, Josef van Genabith, Cristina España-Bonet

CoRR, October, 2025

Parameter Efficient Continual Learning with Dynamic Low-Rank Adaptation.

Prashant Shivaram Bhat, Shakib Yazdani, Elahe Arani, Bahram Zonooz

CoRR, May, 2025

Continual Learning in Multilingual Sign Language Translation.

Shakib Yazdani, Josef van Genabith, Cristina España-Bonet

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2020

Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning.

Shervin Minaee, Rahele Kafieh, Milan Sonka, Shakib Yazdani, Ghazaleh Jamalipour Soufi

Medical Image Anal., 2020

COVID CT-Net: Predicting Covid-19 From Chest CT Images Using Attentional Convolutional Network.

Shakib Yazdani, Shervin Minaee, Rahele Kafieh, Narges Saeedizadeh, Milan Sonka

CoRR, 2020

COVID TV-UNet: Segmenting COVID-19 Chest CT Images Using Connectivity Imposed U-Net.

Narges Saeedizadeh, Shervin Minaee, Rahele Kafieh, Shakib Yazdani, Milan Sonka

CoRR, 2020