Introduction

I am currently working as a computer vision and machine learning researcher at Huawei Technologies, Zurich. Before joining Huawei, I receieved my PhD from ETH Zurich under the supervision of Prof. Dr. Luc Van Gool. During my PhD, I explored various topics under data-efficient LiDAR semantic segmentation, including and not limited to weakly-, semi-supervised semantic segmentation, multi-modal, multi-task training and active learning. After joining the TRACE-Zurich project, my focus shifted towards the interaction of 3D vision with natural language, working more specifically on dense 3D visual grounding. Before starting my PhD, I received a BSc and MSc from the Department of Electrical Engineering and Information Technology at ETH Zurich.

News

2024-07   2 papers accepted to ECCV 2024!
2024-05   DiAL receives Best Paper Award - Honorable Mention from IEEE RA-L 2023!
2023-10   ConcreteNet wins the ICCV 2023 Object Localization Challenge!
2022-03   ScribbleKITTI is accepted to CVPR 2022 as an ORAL paper!
2021-10   Our work in MedIA 2021 receives the Runner-up Best Paper Award!

Selected Publications

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Scribble-Supervised LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Luc Van Gool

Conference on Computer Vision and Pattern Recognition (CVPR) 2022, ORAL

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Discwise Active Learning for LiDAR Semantic Segmentation
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool

IEEE Robotics and Automation Letters 2023, Best Paper Award - Honorable Mention

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Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding
Ozan Unal, Christos Sakaridis, Suman Saha, Luc Van Gool

European Conference on Computer Vision (ECCV) 2024

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Bayesian Self-Training for Semi-Supervised 3D Segmentation
Ozan Unal, Christos Sakaridis, Luc Van Gool

European Conference on Computer Vision (ECCV) 2024