An Open Source Tesseract Based Optical Character Recognizer for Bangla Script. - Abul Hasnat 001; Muttakinur Rahman Chowdhury; Mumit Khan (ICDAR, 2009)

Analysis and Representation of Character Images for Extracting Shape based Features Towards Building an OCR for Bangla Script. - M. A. Naser; Abul Hasnat 001; Tahmid Latif; S. M. Nizamuddin; Tanzinul Islam (ICDIP, 2009)

Unsupervised RGB-D image segmentation using joint clustering and region merging. - Abul Hasnat 001; Olivier Alata; Alain Trémeau (BMVC, 2014)

Model based clustering for 3D directional features: Application to depth image analysis. - Abul Hasnat 001; Olivier Alata; Alain Trémeau (ICIP, 2014)

Unsupervised Clustering of Depth Images Using Watson Mixture Model. - Abul Hasnat 001; Olivier Alata; Alain Trémeau (ICPR, 2014)

Color and flow based superpixels for 3D geometry respecting meshing. - Mohamad Motasem Nawaf; Abul Hasnat 001; Desire Sidibé; Alain Trémeau (WACV, 2014)

Collection, Analysis and Representation of Memory Color Information. - G. M. Atiqur Rahaman; Abul Hasnat 001; Rahul Mourya (CCIW, 2015)

Simultaneous Clustering and Model Selection for Multinomial Distribution: A Comparative Study. - Abul Hasnat 001; Julien Velcin; Stéphane Bonnevay; Julien Jacques (IDA, 2015)

A Comparative Study of Clustering Methods with Multinomial Distribution. - Abul Hasnat 001; Julien Velcin; Stéphane Bonnevay; Julien Jacques (CoRR, 2015)

Opinion mining from twitter data using evolutionary multinomial mixture models. - Abul Hasnat 001; Julien Velcin; Stéphane Bonnevay; Julien Jacques (CoRR, 2015)

Spectral video construction from RGB video: Application to Image Guided Neurosurgery. - Abul Hasnat 001; Jussi Parkkinen; Markku Hauta-Kasari (CoRR, 2016)

Joint Color-Spatial-Directional Clustering and Region Merging (JCSD-RM) for Unsupervised RGB-D Image Segmentation. - Abul Hasnat 001; Olivier Alata; Alain Trémeau (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

Model-based hierarchical clustering with Bregman divergences and Fishers mixture model: application to depth image analysis. - Abul Hasnat 001; Olivier Alata; Alain Trémeau (Stat. Comput., 2016)

DeepVisage: Making Face Recognition Simple Yet With Powerful Generalization Skills. - Abul Hasnat 001; Julien Bohné; Jonathan Milgram; Stéphane Gentric; Liming Chen 002 (ICCV Workshops, 2017)

DeepVisage: Making face recognition simple yet with powerful generalization skills. - Abul Hasnat 001; Julien Bohné; Stéphane Gentric; Liming Chen 002 (CoRR, 2017)

von Mises-Fisher Mixture Model-based Deep learning: Application to Face Verification. - Abul Hasnat 001; Julien Bohné; Jonathan Milgram; Stéphane Gentric; Liming Chen 002 (CoRR, 2017)

Optimal Ensemble Classifiers Based Classification for Automatic Vehicle Type Recognition. - Nadiya Shvai; Antoine Meicler; Abul Hasnat 001; Edouard Machover; Paul Maarek; Stephane Loquet; Amir Nakib (CEC, 2018)

New Vehicle Classification Method Based on Hybrid Classifiers. - Abul Hasnat 001; Nadiya Shvai; Antoine Meicler; Paul Maarek; Amir Nakib (ICIP, 2018)

Application Guided Image Quality Estimation Based on Classification. - Abul Hasnat 001; Nadiya Shvai; Assan Sanogo; Marouan Khata; Arcadi Llanza; Antoine Meicler; Amir Nakib (ICIP, 2019)

Novel Context-aware Classification for Highly Accurate Automatic Toll Collection. - Marouan Khata; Nadiya Shvai; Abul Hasnat 001; Arcadi Llanza; Assan Sanogo; Antoine Meicler; Amir Nakib (IV, 2019)

Real Time Automatic Urban Traffic Management Framework Based on Convolutional Neural Network Under Limited Resources Constraint. - Antoine Meicler; Assan Sanogo; Nadiya Shvai; Arcadi Llanza; Abul Hasnat 001; Marouan Khata; Ed-Doughmi Younes; Alami Khalil; Yazid Lachachi; Amir Nakib (ICIAR (1), 2020)

Accurate Classification for Automatic Vehicle-Type Recognition Based on Ensemble Classifiers. - Nadiya Shvai; Abul Hasnat 001; Antoine Meicler; Amir Nakib (IEEE Trans. Intell. Transp. Syst., 2020)

CNN Classifier's Robustness Enhancement when Preserving Privacy. - Abul Hasnat 001; Nadiya Shvai; Amir Nakib (ICIP, 2021)

Robust license plate signatures matching based on multi-task learning approach. - Abul Hasnat 001; Amir Nakib (Neurocomputing, 2021)

DEvS: data distillation algorithm based on evolution strategy. - Nadiya Shvai; Arcadi Llanza; Abul Hasnat 001; Amir Nakib (GECCO Companion, 2022)

SMIFD-1000: Social media image forgery detection database. - Md. Mehedi Rahman Rana; Abul Hasnat 001; G. M. Atiqur Rahaman (Digit. Investig., 2022)

A Temporal Graph Neural Network for Cyber Attack Detection and Localization in Smart Grids. - Seyed Hamed Haghshenas; Abul Hasnat 001; Mia Naeini (ISGT, 2023)

Efficient Meta label correction based on Meta Learning and bi-level optimization. - Soufiane Mallem; Abul Hasnat 001; Amir Nakib (Eng. Appl. Artif. Intell., 2023)

MEDIC: a multi-task learning dataset for disaster image classification. - Firoj Alam; Tanvirul Alam; Md. Arid Hasan; Abul Hasnat 001; Muhammad Imran 002; Ferda Ofli (Neural Comput. Appl., 2023)

ArMeme: Propagandistic Content in Arabic Memes. - Firoj Alam; Abul Hasnat 001; Fatema Ahmad; Md. Arid Hasan; Maram Hasanain (EMNLP, 2024)

SemEval-2024 Task 4: Multilingual Detection of Persuasion Techniques in Memes. - Dimitar Dimitrov 003; Firoj Alam; Maram Hasanain; Abul Hasnat 001; Fabrizio Silvestri; Preslav Nakov; Giovanni Da San Martino (SemEval@NAACL, 2024)

ArMeme: Propagandistic Content in Arabic Memes. - Firoj Alam; Abul Hasnat 001; Fatema Ahmed; Md. Arid Hasan; Maram Hasanain (CoRR, 2024)

MemeIntel: Explainable Detection of Propagandistic and Hateful Memes. - Mohamed Bayan Kmainasi; Abul Hasnat 001; Md. Arid Hasan; Ali Ezzat Shahroor; Firoj Alam (CoRR, 2025)