Hasib Zunair

According to our database, Hasib Zunair authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

PEEKABOO: Hiding parts of an image for unsupervised object localization.

Hasib Zunair, A. Ben Hamza

CoRR, 2024

RSUD20K: A Dataset for Road Scene Understanding In Autonomous Driving.

Hasib Zunair, Md. Shakib Khan, A. Ben Hamza

CoRR, 2024

CosSIF: Cosine similarity-based image filtering to overcome low inter-class variation in synthetic medical image datasets.

Mominul Islam, Hasib Zunair, Nabeel Mohammed

Comput. Biol. Medicine, 2024

Learning to Recognize Occluded and Small Objects with Partial Inputs.

Hasib Zunair, A. Ben Hamza

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023

Quantifying imbalanced classification methods for leukemia detection.

Deponker Sarker Depto, Md. Mashfiq Rizvee, Aimon Rahman, Hasib Zunair, M. Sohel Rahman, M. R. C. Mahdy

Comput. Biol. Medicine, 2023

2022

Knowledge distillation approach towards melanoma detection.

Md Shakib Khan, Kazi Nabiul Alam, Abdur Rab Dhruba, Hasib Zunair, Nabeel Mohammed

Comput. Biol. Medicine, 2022

VISTA: Vision Transformer enhanced by U-Net and Image Colorfulness Frame Filtration for Automatic Retail Checkout.

Md. Istiak Hossain Shihab, Nazia Tasnim, Hasib Zunair, Labiba Kanij Rupty, Nabeel Mohammed

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Masked Supervised Learning for Semantic Segmentation.

Hasib Zunair, Abdessamad Ben Hamza

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On.

Hasib Zunair, Yan Gobeil, Samuel Mercier, Abdessamad Ben Hamza

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

MoNuSAC2020: A Multi-Organ Nuclei Segmentation and Classification Challenge.

Ruchika Verma, Neeraj Kumar, Abhijeet Patil, Nikhil Cherian Kurian, Swapnil Rane, Simon Graham, Quoc Dang Vu, Mieke Zwager, Shan-E-Ahmed Raza, Nasir M. Rajpoot, Xiyi Wu, Huai Chen, Yijie Huang, Lisheng Wang, Hyun Jung, G. Thomas Brown, Yanling Liu, Shuolin Liu, Seyed Alireza Fatemi Jahromi, Ali Asghar Khani, Ehsan Montahaei, Mahdieh Soleymani Baghshah, Hamid Behroozi, Pavel Semkin, Alexandr Rassadin, Prasad Dutande, Romil Lodaya, Ujjwal Baid, Bhakti Baheti, Sanjay N. Talbar, Amirreza Mahbod, Rupert Ecker, Isabella Ellinger, Zhipeng Luo, Bin Dong, Zhengyu Xu, Yuehan Yao, Shuai Lv, Ming Feng, Kele Xu, Hasib Zunair, Abdessamad Ben Hamza, Steven M. Smiley, Tang-Kai Yin, Qi-Rui Fang, Shikhar Srivastava, Dwarikanath Mahapatra, Lubomira Trnavska, Hanyun Zhang, Priya Lakshmi Narayanan, Justin Law, Yinyin Yuan, Abhiroop Tejomay, Aditya Mitkari, Dinesh Koka, Vikas Ramachandra, Lata Kini, Amit Sethi

IEEE Trans. Medical Imaging, 2021

Synthesis of COVID-19 chest X-rays using unpaired image-to-image translation.

Hasib Zunair, A. Ben Hamza

Soc. Netw. Anal. Min., 2021

Synthetic COVID-19 Chest X-ray Dataset for Computer-Aided Diagnosis.

Hasib Zunair, A. Ben Hamza

CoRR, 2021

Sharp U-Net: Depthwise convolutional network for biomedical image segmentation.

Hasib Zunair, A. Ben Hamza

Comput. Biol. Medicine, 2021

STAR: Noisy Semi-Supervised Transfer Learning for Visual Classification.

Hasib Zunair, Yan Gobeil, Samuel Mercier, Abdessamad Ben Hamza

Proceedings of the MMSports@MM 2021: Proceedings of the 4th International Workshop on Multimedia Content Analysis in Sports, 2021

ViPTT-Net: Video pretraining of spatio-temporal model for tuberculosis type classification from chest CT scans.

Hasib Zunair, Aimon Rahman, Nabeel Mohammed

Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

2020

Melanoma Detection using Adversarial Training and Deep Transfer Learning.

Hasib Zunair, A. Ben Hamza

CoRR, 2020

Uniformizing Techniques to Process CT Scans with 3D CNNs for Tuberculosis Prediction.

Hasib Zunair, Aimon Rahman, Nabeel Mohammed, Joseph Paul Cohen

Proceedings of the Predictive Intelligence in Medicine - Third International Workshop, 2020

2019

Improving Malaria Parasite Detection from Red Blood Cell using Deep Convolutional Neural Networks.

Aimon Rahman, Hasib Zunair, M. Sohel Rahman, Jesia Quader Yuki, Sabyasachi Biswas, Md. Ashraful Alam, Nabila Binte Alam, M. R. C. Mahdy

CoRR, 2019

Estimating Severity from CT Scans of Tuberculosis Patients using 3D Convolutional Nets and Slice Selection.

Hasib Zunair, Aimon Rahman, Nabeel Mohammed

Proceedings of the Working Notes of CLEF 2019, 2019