Hossein (Hoss) Shakibania

I received my BSc in Computer Engineering from Bu-Ali Sina University. During my undergraduate studies, I was supervised by Prof. Hassan Khotanlou (RIV Lab) and Prof. Muharram Mansoorizadeh.

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headshot
Research

I'm interested in computer vision and deep learning. My long-term goal is to build multimodal, efficient, and responsible AI to better recognize, understand, and interact with our world, mainly using less data-hungry methods. I am also interested in contributing to generative AI, especially for creative art, visual editing, and restoration.

News
  • [April 2024]: I am Admitted to the MS in CS (On Campus) program at Geogia Tech for Fall 2024! 🥳
  • [February 2024]: Our Paper on Detection and Grading Diabetic Retinopathy is Accepted to BSPC! 🥂
  • [February 2024]: Graduated from Bu-Ali Sina University with a Bachelor's in Computer Engineering! 🎓
Publications & Preprints
CDAN: Convolutional Dense Attention-guided Network for Low-light Image Enhancement
Hossein Shakibania, Sina Raoufi, Hassan Khotanlou
arXiv, 2023
arXiv / code / cite

An autoencoder-based model for enhancing low-light images across challenging lighting conditions.

Dual Branch Deep Learning Network for Detection and Stage Grading of Diabetic Retinopathy
Hossein Shakibania, Sina Raoufi, Behnam Pourafkham, Hassan Khotanlou, Muharram Mansoorizadeh
Biomedical Signal Processing and Control, 2024
arXiv / cite

A deep learning approach to diabetic retinopathy detection and grading.

Honors & Awards
  • [January 2024]: Distinguished Undergraduate Student for Academic Excellence (1st Rank), Bu-Ali Sina University
  • [May 2023]: 2nd Place in the Data-Driven Decision Making Competition, Bu-Ali Sina University

Design and source code from Jon Barron's website.