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about me
- Passionate about Open-Source, Machine Learning/Deep Learning, Computer Vision
- BSc and Msc. on Engineering (with deep learning/computer vision focus), PhD cand. on Informatics (with multi-modal video-transformers focus)
some of my opensource packages:
A lightweight vision library for performing large scale object detection/ instance segmentation:
Packaged version of ultralytics/yolov5 + many extra utilities:
Easy-to-use, class-balanced, cross-entropy and focal loss implementation for Pytorch:
A simple Streamlit Component to compare images with a slider in Streamlit apps:
Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector:
Make your own dataset for object detection and transform the format to coco json format:
Download and convert MIDV-500 annotations to COCO instance segmentation format:
some of my published/submitted papers:
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Sequence Models for Drone vs Bird Classification (Submitted to AVSS 2022)
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Slicing Aided Hyper Inference and Fine-tuning for Small Object Detection (Accepted at ICIP 2022) (11+ citations)
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DroBoost: An Intelligent Score and Model Boosting Method for Drone Detection (Published at ICIAP 2022)
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Automated question generation and question answering from Turkish texts (Published at SCI Journal, 2022)
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Drone-vs-Bird Detection Challenge at IEEE AVSS2021 (Published at AVSS 2021) (89+ citations)
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Track Boosting and Synthetic Data Aided Drone Detection (Published at AVSS 2021) (3+ citations)
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Instagram Fake and Automated Account Detection (Published at INISTA 2019) (36+ citations)
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Classification of Intra-Pulse Modulation of Radar Signals by Feature Fusion Based Convolutional Neural Networks (Published at EUSIPCO 2018) (10+ citations)