Author Archives: alptekin temizel

Our Vision Package SAHI has Reached Over 2 Million Downloads

SAHI (Slicing Aided Hyper Inference) exceeded 2,000,000 total downloads and going strong with  ~100,000 monthly downloads!

Total downloads for the project Last 30 days downloads for the project

Many thanks for all the support coming from the vision/deep learning community

GitHubhttps://lnkd.in/dXXjZsH
Medium post: https://lnkd.in/dfvcUZV
ICIP 2022 paper: https://lnkd.in/gR2aTKNE
Hugging Face demo: https://lnkd.in/dKETU5nB
Google Colab demo: https://lnkd.in/eVjs-gjM
Amazon Web Services (AWS) Studiolab demo: https://lnkd.in/gd3-hYE7
Ultralytics YOLOv5 demo: https://lnkd.in/dNvZZqpG
Kaggle notebook: https://lnkd.in/eWNPTSZr

Labeled Images for Ulcerative Colitis (LIMUC) Dataset

Our dataset, Labeled Images for Ulcerative Colitis (LIMUC), which is the largest publicly available labeled dataset for endoscopic Ulcerative Colitis (UC) severity assessment, is out.

You can find more details in the accompanying paper.
Dataset: https://lnkd.in/d-DH226a
Paper: https://lnkd.in/djHb3nmT
Github repo – scripts for preprocessing, splitting, training, and validating the dataset: https://lnkd.in/dgArEk9z

Our Team Ranked Third in Federated Brain Tumor Segmentation (FeTS) Challenge at MICCAI2021

Our team ranked 3rd in the Federated Brain Tumor Segmentation (FeTS) Challenge at MICCAI2021.  FeTS Challenge is the first computational competition on Federated Learning lead by UPenn and sponsored by Intel. Team Members: Ece Işık Polat, Görkem Polat and supervisors Altan Koçyiğit and Alptekin Temizel.

Derin Öğrenme Sistemleri Geliştirme/Konuşlandırma Platformları ve Model Optimizasyonu

Sabancı Üniversitesi-Bilim Akademisi tarafından düzenlenmiş olan Yapay Öğrenme Yaz Okulu 2021’de yapmış olduğum konuşmayı buradan izleyebilirsiniz.

Vulnerabilities of Deep Networks and Adversarial Attacks

My talk on “Vulnerabilities of Deep Networks and Adversarial Attacks” is available online:

https://youtu.be/pv96cUaNBhk

Our Team Received the First Place Award in Endoscopic Artefact Detection Challenge at IEEE ISBI 2020

We are officially the winner of the Endoscopic Artefact Detection Challenge (EAD2020) – Detection Task, which is organized in conjunction with the 17th IEEE International Symposium on Biomedical Imaging (ISBI2020). Congratulations to the team: Görkem Polat, Alperen İnci, and Deniz Şen.

Deep Learning for Computer Vision Hands-on Workshop – 23 February 2020

I’ll be holding a hands-on NVIDIA Deep Learning Institute workshop on 23 February 2020 Sunday. Click here for more information and registration details.

 

Deep Learning for Computer Vision Workshop – National Taiwan University, Taipei

I’ll be holding a workshop with the title “Fundamentals of Deep Learning for Computer Vision” on 17th September 2019 in National Taiwan University, Taipei.