Md. Rezwanul Haque

According to our database, Md. Rezwanul Haque authored at least 15 papers between 2020 and 2026.

Collaborative distances:

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

2026

CAST: Channel-Aware Spatial Transfer Learning with Pseudo-Image Radar for Sign Language Recognition.

Md. Shakhoyat Rahman Shujon, Sheikh Md. Galib Mahim, Md. Milon Islam, Md. Rezwanul Haque, Md. Rabiul Islam, Hamdi Altaheri, Fakhri Karray

CoRR, May, 2026

2025

FusionEnsemble-Net: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition.

Md. Milon Islam, Md. Rezwanul Haque, S. M. Taslim Uddin Raju, Fakhri Karray

CoRR, August, 2025

MDD-Net: Multimodal Depression Detection through Mutual Transformer.

Md. Rezwanul Haque, Md. Milon Islam, S. M. Taslim Uddin Raju, Hamdi Altaheri, Lobna Nassar, Fakhri Karray

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

MMFformer: Multimodal Fusion Transformer Network for Depression Detection.

Md. Rezwanul Haque, Md. Milon Islam, S. M. Taslim Uddin Raju, Hamdi Altaheri, Lobna Nassar, Fakhri Karray

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2025

GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning.

S. M. Taslim Uddin Raju, Md. Milon Islam, Md. Rezwanul Haque, Hamdi Altaheri, Fakhri Karray

Proceedings of the International Joint Conference on Neural Networks, 2025

FusionEnsembleNet: An Attention-Based Ensemble of Spatiotemporal Networks for Multimodal Sign Language Recognition.

Md. Milon Islam, Md. Rezwanul Haque, S. M. Taslim Uddin Raju, Fakhri Karray

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

A Signer-Invariant Conformer and Multi-Scale Fusion Transformer for Continuous Sign Language Recognition.

Md. Rezwanul Haque, Md. Milon Islam, S. M. Taslim Uddin Raju, Fakhri Karray

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

2023

BaDLAD: A Large Multi-Domain Bengali Document Layout Analysis Dataset.

Md. Istiak Hossain Shihab, Md. Rakibul Hasan, Mahfuzur Rahman Emon, Syed Mobassir Hossen, Md. Nazmuddoha Ansary, Intesur Ahmed, Fazle Rabbi Rakib, Shahriar Elahi Dhruvo, Souhardya Saha Dip, Akib Hasan Pavel, Marsia Haque Meghla, Md. Rezwanul Haque, Sayma Sultana Chowdhury, Farig Sadeque, Tahsin Reasat, Ahmed Imtiaz Humayun, Asif Shahriyar Sushmit

Proceedings of the Document Analysis and Recognition - ICDAR 2023, 2023

2021

Scalable Telehealth Services to Combat Novel Coronavirus (COVID-19) Pandemic.

Shah Muhammad Azmat Ullah, Md. Milon Islam, Saifuddin Mahmud, Sheikh Nooruddin, S. M. Taslim Uddin Raju, Md. Rezwanul Haque

SN Comput. Sci., 2021

Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques.

Laboni Akter, Ferdib-Al-Islam, Md. Milon Islam, Mabrook S. Al-Rakhami, Md. Rezwanul Haque

SN Comput. Sci., 2021

Hemoglobin and glucose level estimation from PPG characteristics features of fingertip video using MGGP-based model.

Md. Asaf-Uddowla Golap, S. M. Taslim Uddin Raju, Md. Rezwanul Haque, M. M. A. Hashem

Biomed. Signal Process. Control., 2021

Corrections to "A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models".

Md. Rezwanul Haque, S. M. Taslim Uddin Raju, Md. Asaf-Uddowla Golap, M. M. A. Hashem

IEEE Access, 2021

A Novel Technique for Non-Invasive Measurement of Human Blood Component Levels From Fingertip Video Using DNN Based Models.

Md. Rezwanul Haque, S. M. Taslim Uddin Raju, Md. Asaf-Uddowla Golap, M. M. A. Hashem

IEEE Access, 2021

2020

Breast Cancer Prediction: A Comparative Study Using Machine Learning Techniques.

Md. Milon Islam, Md. Rezwanul Haque, Hasib Iqbal, Md. Munirul Hasan, Mahmudul Hasan, Muhammad Nomani Kabir

SN Comput. Sci., 2020

Deep Learning Applications to Combat Novel Coronavirus (COVID-19) Pandemic.

Amanullah Asraf, Md. Zabirul Islam, Md. Rezwanul Haque, Md. Milon Islam

SN Comput. Sci., 2020