Nazir Nayal
Docotoral Researcher @ Max Planck Institute for Informatics
E1 4 - Room 624
Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4 66123 Saarbrücken, Germany
I am a doctoral researcher at Computer Vision and Machine Learning Department (D2) at the Max Planck Institute for Informatics in Saarbrücken, Germany, and a PhD student at Saarland University as part of the CS@Max Planck Doctoral Program.
I obtained my Computer Sciences and Engineering MSc degree from Koç University in Istanbul, Turkey, where I was a research fellow at the Koç University & İş Bankası Artificial Intelligence Center (KUIS AI), working under the supervision of Fatma Güney and João F. Henriques from VGG-Oxford.
I graduated with a BSc from Koç University Computer Engineering Department and was a recipient of Abdulla Al Ghurair Foundation for Education (AGFE) STEM Scholarship.
Research
My previous work was mainly on open-world segmentation and uncertainty estimation. Broadly interested in deep learning, computer vision, generative models, 3D Reconstruction, multi-modality, open-world learning, uncertainty.
news
Sep 15, 2024 | Joined the Computer Vision and Machine Learning department at the Max Planck Institute for Informatics (MPI-INF) as a PhD student through the CS@Max Planck Doctoral Program. |
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Sep 10, 2024 | Our new paper “A Likelihood Ratio-Based Approach to Segmenting Unknown Objects” is out! |
Sep 24, 2023 | Started as a Graduate Student Visitor at VGG Oxford. |
Sep 04, 2023 | Defended by MSc Thesis titled “RbA: Segmenting Unknown Regions Rejected by All using Mask Classifiers” |
Jul 15, 2023 | Our paper “ RbA: Segmenting Unknown Regions Rejected by All” was accepted at ICCV 2023! |
latest posts
Oct 09, 2024 | A Dive into 3D Reconstruction Literature |
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Oct 04, 2024 | Road to 3D Gaussian Splatting |
Dec 11, 2020 | Bayesian Networks |