Submissions from 2022
BeeCast: A Device-to-Device Collaborative Video Streaming System, Asaad Alghamdi, Younes Balah, Mohammad Albejadi, and Muhamad Felemban
Survey on Self-supervised Representation Learning Using Image Transformations, Muhammad Ali and Sayed Hashim
Color Space-based HoVer-Net for Nuclei Instance Segmentation and Classification, Hussam Azzuni, Muhammad Ridzuan, Min Xu, and Mohammad Yaqub
The Power Of First-Order Smooth Optimization for Black-Box Non-Smooth Problems, Alexander V. Gasnikov., Anton Novitskii, Vasilii Novitskii, Farshed Abdukhakimov, Dmitry Kamzolov, Aleksandr Beznosikov, Martin Takáč, Pavel Dvurechensky, and Bin Gu
Hyperparameter Optimization for COVID-19 Chest X-Ray Classification, Ibraheem Hamdi, Muhammad Ridzuan, and Mohammad Yaqub
SubOmiEmbed: Self-supervised representation learning of multi-omics data for cancer type classification, Sayed Hashim, Muhammad Ali, Karthik Nandakumar, and Mohammad Yaqub
Contrastive Self-Supervised Learning: A Survey on Different Architectures, Adnan Khan, Sarah Al Barri, and Muhammad Arslan Manzoor
Challenges in COVID-19 Chest X-Ray Classification: Problematic Data or Ineffective Approaches?, Muhammad Ridzuan, Ameera Ali Bawazir, Ivo Gollini Navarrete, Ibrahim Almakky, and Mohammad Yaqub
Is Contrastive Learning Suitable for Left Ventricular Segmentation in Echocardiographic Images?, Mohamed Saeed, Rand Muhtaseb, and Mohammad Yaqub
An Ensemble Approach for Patient Prognosis of Head and Neck Tumor Using Multimodal Data, Numan Saeed, Roba Al Majzoub, Ikboljon Sobirov, and Mohammad Yaqub
Is it Possible to Predict MGMT Promoter Methylation from Brain Tumor MRI Scans using Deep Learning Models?, Numan Saeed, Shahad Hardan, Kudaibergen Abutalip, and Mohammad Yaqub
TransformNet: Self-supervised representation learning through predicting geometric transformations, Hashim Sayed and Muhammad Ali
Automatic Segmentation of Head and Neck Tumor: How Powerful Transformers Are?, Ikboljon Sobirov, Otabek Nazarov, Hussain Alasmawi, and Mohammad Yaqub
Submissions from 2021
Self-supervised learning for fine-grained visual categorization, Muhammad Maaz, Hanoona Abdul Rasheed, and Dhanalaxmi Gaddam
Multi-modal Transformers Excel at Class-agnostic Object Detection, Muhammad Maaz, Hanoona Bangalath Rasheed, Salman Hameed Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, and Ming-Hsuan Yang