Sarah Ibrahimi
PhD candidate
University of Amsterdam
I am a PhD candidate in Computer Vision at the University of Amsterdam, supervised by Marcel Worring. My main areas of interests are Multimodal Learning, Visual Retrieval tasks, AI & Creativity and more recently Hyperbolic Learning.
My background is in Computer Science with a specialization in Cyber Security (MSc 2014, Eindhoven University of Technology) and Mathematics (BSc 2012, Utrecht University). Besides, I have a background in Theater and Dance Studies (BA 2012, Utrecht University).
News
- 08/2023: I started as an Applied Scientist Intern in the New Initiatives team of Amazon Just Walk Out, where I'm working with Greg Hager and Austin Reiter. During this internship, I will work on uncertainty quantification on vision-language models.
- 07/2023: Our work Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment has been accepted as an oral at ICCV 2023. This work is the result of my internship at Amazon Prime Video.
- 08/2022: I started as an Applied Scientist Intern in the Multimodal Video Understanding team of Amazon Prime Video, led by Mohamed Omar. During this internship, I will work on audio-enhanced text-video retrieval.
- 10/2021: Our work Learning with Label Noise for Image Retrieval by Selecting Interactions has been accepted at WACV 2022. This work is the result of my internship at Naver Labs Europe.
- 10/2021: Our work Inside Out Visual Place Recognition has been accepted at BMVC 2021. In this work we present the new task Inside Out Visual Place Recognition where the goal is to localize indoor images together with a new dataset.
- 10/2021: Our work Instance-level Recognition for Artworks: The Met Dataset has been accepted at NeurIPS 2021, Datasets and Benchmark Track.
- 09/2021: My work Composition, Performance and Evaluation: A Dance Education Framework for AI Systems has been accepted at the International Conference on Computational Creativity 2021.
- 07/2021: I finished my internship at Naver Labs Europe which resulted in two papers that are currently under submission.
- 06/2021: My work 'A Comparison between Dance Generation Algorithms and Choreographers' has been accepted at the CVPR Workshop on Ethical Considerations in Creative applications of Computer Vision 2021.
- 01/2021: I started as a Research Intern at Naver Labs Europe in the Machine Learning and Optimization team where I'll be working on optimizing interaction losses and learning with noisy labels.
- 05/2020: Our work on Detecting CNN-Generated Facial Images in Real-World Scenarios has been accepted at the CVPR Workshop on Media Forensics 2020.
- 05/2020: Our work Conditional Image Generation and Manipulation for User-Specified Content has been accepted at the CVPR AI for Content Creation Workshop 2020.
- 10/2019: I presented our work on Deep Metric Learning for Cross-Domain Fashion Instance Retrieval at the ICCV Workshop on Computer Vision for Fashion, Art and Design.
- 07/2019: Our work on Multimodal Semantic Matching has been accepted at ACM Multimedia 2019 as a demo paper.
