I am a Research Scientist at Meta AI working on on-device ML and GenAI for photo and video edits.
Before that I was a Deep Learning Engineer at Apple,
and completed my PhD at TU Munich
in the group of Daniel Cremers.
My research interests span depth estimation, RGB-D scene understanding, visual representation learning, responsible AI, and on-device machine learning.
Datasets
Responsible AI
Casual Conversations v1
Meta AI · 2021
A dataset of 45,186 videos featuring paid participants to help researchers evaluate AI models for fairness across age, gender, and skin tone attributes.
Responsible AI
Casual Conversations v2
Meta AI · 2023
A dataset of 26,467 videos with broader fairness coverage — including age, gender, and physical attributes — for more robust AI model evaluation.
Focal Stack
DDFF 12-Scene
TU Munich · 2017
Large-scale focal stack benchmark with 12 indoor scenes and dense depth ground truth — 25× larger than prior benchmarks, enabling ML-based depth-from-focus research.
RGB-D
TUM-LSI
TU Munich · 2017
Large-scale indoor RGB-D dataset for scene understanding and semantic segmentation research, captured across real-world environments at TU Munich.
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Deep Depth From Focus
C. Hazirbas, S. G. Soyer, M. C. Staab, L. Leal-Taixé, D. Cremers
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Image-based Localization Using LSTMs for Structured Feature Correlation
F. Walch, C. Hazirbas, L. Leal-Taixé, T. Sattler, S. Hilsenbeck, D. Cremers
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Learning Proximal Operators: Using Denoising Networks for Regularizing Inverse Imaging Problems
T. Meinhardt, M. Moller, C. Hazirbas, D. Cremers
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FuseNet: Incorporating Depth into Semantic Segmentation via Fusion-based CNN Architecture
C. Hazirbas†, L. Ma†, C. Domokos, D. Cremers
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FlowNet: Learning Optical Flow with Convolutional Networks
A. Dosovitskiy, P. Fischer, E. Ilg, P. Häusser, C. Hazirbas, et al.
News
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Aug 2020
Joined Meta AI as Research Scientist.
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Jan 2019
Joined Apple as Deep Learning Engineer.
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Sep 2018
DDFF accepted to ACCV 2018, Perth, Australia.
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Jul 2018
Talk at ACM Munich ML Meetup #1 — Delving Deep into Computer Vision. Slides
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May 2018
Invited talk at ML Meetup #1, Munich.
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Feb 2018
Visiting Prof. Ian Reid's lab at ACVT, University of Adelaide.
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Oct 2017
ICCV paper featured in ICCV Daily.
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Sep 2017
Two papers at ICCV 2017. DDFF 12-Scene Benchmark released publicly.
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Apr 2017
Research internship at Disney Research Zurich.
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Jul 2016
Talk at DL Workshop, MPI-ETH — FlowNet.
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Nov 2015
Talk at CIS @LMU — CNNs for Computer Vision.
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Sep 2015
FlowNet accepted to ICCV 2015. Talk at MLSS'15 Kyoto.
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Jul 2015
Talk at Kleine Bayessche AG, Augsburg — CNNs for Computer Vision. Slides
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Jun 2015
Talk at ACM Munich Tech Talk — Deep Learning in Action. Slides