Mehmet Aygün

I am a PhD candidate at The University of Edinburgh under supervision of Oisin Mac Aodha. I obtained my MSc degree from TU Munich in the Informatics Department, worked closely with Laura Leal-Taixé and Aljosa Osep. Before that, I received my bachelor's degree in computer science at Istanbul Technical University.

Email  /  CV  /  Google Scholar  /  GitHub /  LinkedIn

• Feb 2021, Our paper titled 4D Panoptic Lidar Segmentation is accepted to CVPR, 2021.
• Oct 2020, Our paper about 3D shape correspondence is accepted to 3DV, 2020.
• Jun 2018, I received DAAD scholarship for studying my master in Germany.
• Oct 2017, at ICCV 2017, our paper received Honorable Mention Award from TASK-CV workshop.

I'm interested in computer vision and machine learning.

A new method and evaluation metric for the task of 4D panoptic segmentation.

An emprical study showing that Heat Kernels can replace Geodesic Matrices for unsupervised dense shape correnspondence problem

Comparision of different fusion methods for multi modal tumor segmentation using 3D Convolutional Neural Networks.

A new regularization method for Convolutional Neural Networks which tries to transfer statistical regularities between CNN architectures for transfer learning using Gausian Mixture Models.

An ensemble method for predicting apparent age using deep learning models.

This ubiquitous CS researcher website template spawned from here.
Last updated: January 2018