[March 2024] Winter School Amsterdam
Participant at the Winter School on Foundation Models 2024. Including poster presentation of our ICLR 2024 spotlight work on general knowledge transfer.
Amsterdam, Netherlands
[Oct 2023] New preprint on Arxiv
We reveal the existence of complementary knowledge between arbitrary models pretrained on the same data, and investigate general tools to transfer this context between pretrained models while retaining base knowledge. Link.
[Oct 2023] New preprint on Arxiv
Achieving training-free and interpretable compositional image retrieval. Link.
[Oct 2023] Presented @ ICCV 2023
Presented our work on the shortcomings of LLM descriptions for open-vocabulary classifications, and simple ways to improve performance instead.
Paris, France
[July 2023] One paper accepted to ICCV 2023
WaffleCLIP, our study on improving open-vocabulary image classification with large language model descriptions versus randomized ones has been accepted to ICCV 2023 in Paris. Link.
[July 2023] Recipient of the Qualcomm Innovation Fellowship 2023
Received the Europe Qualcomm Innovation Fellowship 2023. Link.
Remote
[June 2023] New preprint on Arxiv
A Study on Improving Open-Vocabulary Image Classification with Large Language Model Descriptions versus Randomized Ones. Link.
[June 2023] New preprint on Arxiv
Improving text-to-image generation faithfulness through automated candidate selection. Link.
[May 2023] Finalist Qualcomm Innovation Fellowship
Finalist for the Qualcomm Innovation PhD Fellowship award 2023.
Remote
[May 2023] Presented @ ICLR 2023
Presented our work on disentanglement under correlations.
Kigali, Rwanda
[Jan 2023] IMPRS-IS Interview Symposium
Talk: Presented my research on representation learning under distribution shifts to PhD applicants at the IMPRS-IS PhD Interview Symposium.
Remote
[Oct 2022] Presented @ ECCV 2022
Presented our work on probabilistic prototypical constrastive learning.
Tel Aviv, Israel
[Oct 2022] ELLIS
Talked about my ELLIS PhD as part of the official ELLIS PhD Program trailer.
Germany
[June 2022] Finalist Qualcomm Innovation Fellowship
Finalist for the Qualcomm Innovation PhD Fellowship award 2022.
Amsterdam, Netherlands
[May 2022] Pioneer AI Center
Talk: Presentation of CVPR 2022 publications on language guidance and normalizing flows for deep metric learning.
Copenhagen, Danemark
[May 2022] EMVA Young Professional Award
Recipient of the Young Professional Award 2022 endowed by the European Machine Vision Association to honor the outstanding and innovative work of a student or a young professional in the field of machine vision or image processing.
Brussels, Belgium
[March 2022] G-Research
Talk: Introduction to Deep Metric Learning and presentation of interesting research directions in this field.
Remote
[Jan 2022] Ruhr University Bochum
Talk: On Out-of-Distribution Generalization in zero-shot Deep Metric Learning.
Remote
[Oct 2021] Bright Machines
Talk: Autonomous Industrial Anomaly Detection using PatchCore.
Remote
[Jul 2021] Chaudhari Group, Stanford University
Talk: Addressing the shortcomings in Deep Metric Learning research.
Remote
[Jun/Jul 2020] MLSS Tuebingen
Participant at the Machine Learning Summer School in Tuebingen, Germany.
Remote