[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