Hi! I am Lili and I am a postdoctoral researcher under the supervision of Prof. Dr. Zeynep Akata. I obtained by Ph.D in Computer Vision from the University of Bucharest under the supervision of Prof. Dr. Radu Ionescu. I previously worked on video anomaly detection and medical image analysis. My current research interests are self-supervision and multi-modal learning.
Education
- Feb 2024 - TBA - Postdoc, Helmholtz Munich, Germany.
- Oct 2019 - Sep 2023 - PhD in Computer Science, Faculty of Mathematics and Computer Science, University of Bucharest, Romania.
- Oct 2017 - Jun 2019 - MsC in Artificial Intelligence, Faculty of Mathematics and Computer Science, University of Bucharest, Romania.
- Oct 2014 - Jun 2017 - BsC in Computer Science, Faculty of Mathematics and Computer Science, University of Bucharest, Romania.
Internships
- Aug 2022 - Nov 2022 - Research Intern, Google, France.
- Nov 2020 - Feb 2021 - Applied Scientist Intern, Amazon, Germany.
Awards
- Awarded the third prize in the „Young Researchers in Science and Engineering Contest 2023” organized by the Cluj-Napoca City Hall, Romania.
- Participant of the CVPR Doctoral Consortium 2023 (13% acceptance rate), Canada.
- Awarded the first prize in the „Student Scientific Communications Session 2022” organized by the Faculty of Mathematics and Computer Science, University of Bucharest, Romania.
Selected Publications
Audiovisual Masked Autoencoders
Mariana-Iuliana Georgescu*, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab*, *equal contribution
ICCV, 2023
[Paper]
ICCV, 2023
[Paper]
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Multimodal Multi-Head Convolutional Attention with Various Kernel Sizes for Medical Image Super-Resolution
Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Andreea-Iuliana Miron, Olivian Savencu, Nicolae-Catalin Ristea, Nicolae Verga, Fahad Shahbaz Khan
WACV, 2023
[Paper] [Code]
WACV, 2023
[Paper] [Code]
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UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection
Andra Acsintoae*, Andrei Florescu*, Mariana-Iuliana Georgescu*, Tudor Mare*, Paul Sumedrea*, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah,
*equal contribution
CVPR, 2022
[Paper] [Code]
CVPR, 2022
[Paper] [Code]
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A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu and Mubarak Shah
TPAMI, 2022
[Paper] [Code]
TPAMI, 2022
[Paper] [Code]
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Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah
CVPR, 2021
[Paper] [Code]
CVPR, 2021
[Paper] [Code]
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