[BMVC'2024] Official code for PEEKABOO: Hiding Parts of an Image for Unsupervised Object Localization.

Repo for my portfolio website: http://hasibzunair.github.io/

[BMVC'2022] Demo code for Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On

A list to all my projects done during and for my PhD.

A template README/workflow for any ML based research project.

[WACV'2024] Official code for paper Learning to Recognize Occluded and Small Objects with Partial Inputs.

Code and notes I am writing while learning MLOps.

Leveraging vector databases with embeddings for fast image search and retrieval, Towards AI, 2024.

Tutorial materials for Ericsson AI & ML Upskill Program 2023-2024.

Stuff I find useful, mostly on AI research and computer vision.

[ICIP'2024] Official code for paper RSUD20K: A Dataset for Road Scene Understanding In Autonomous Driving

Tutorial materials for Ericsson AI & ML Upskill Program 2021. See also https://github.com/myconcordia/A2I2

Repo for code snippets that are reused in my projects.

Github Actions workflow files.

Some neural nets written while learning PyTorch.

Repo for the material of the Programming with Python workshop at NSU

Tutorial materials for Part of NSU Intro to Deep Learning with PyTorch.

Tutorials on deep learning in computer vision with PyTorch.

[PMB'2020] Melanoma Detection using Adversarial Training and Deep Transfer Learning

[BMVC'2022] Fill in Fabrics: Body-Aware Self-Supervised Inpainting for Image-Based Virtual Try-On

Build and Deploy Custom Docker Images for Object Recognition, Towards AI, 2023.

Code I am writing while learning Docker, mostly for my reference.

Some code written while learning JAX. Mostly neural nets.

[BMVC'2022 Oral] Official code for Masked Supervised Learning for Semantic Segmentation.

A list to all my projects done during and for my Masters.

Last place solutioin to fastMRI Image Reconstruction Challenge 2019 (Single coil track).

Generate visually similar synthetic images.