Juliette Bertrand


I recently joined the Thoth team as a research engineer, collaborating with Professor Julien Mairal and Dr. Sophie Giffard-Roisin . Previously, I was a researcher at the Czech Technical University in Prague, member of the VRG group and collaborating with Professor Giorgos Tolias and Dr Yannis Kalantidis at Naverlabs Europe . During my time with them, I focused on the challenging task of representation learning and matching for video understanding, particularly when dealing with limited annotated data. Before that, I actively contributed to various applied research projects in the field of machine learning, spanning a wide range of tasks, including re-identifying soccer players through jersey number recognition, real-time ball tracking in low-resolution sports videos, even in the presence of frequent occlusion, predicting the primary topic of webpages with sparse annotated data, forecasting webpage view counts over a 6-month period using historical data, and inferring disparity maps around individuals' faces to match their size and orientation. In 2013, I successfully completed my master's degree at Ecole Centrale Lyon, and I also graduated with distinction in Image and Signal Processing from the University of Lyon.

Outside of work, I enjoy hiking, dancing, acting, traveling, and embracing new cultures. I have a deep interest for cinema and the performing arts, to the extent that I even collaborated with a group of musical aficionados to create a musical entirely from scratch.

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profile photo


  • [2023-09] - Our paper got accepted at NeurIPS.
  • [2023-05] - Our paper got accepted at the L3D-IVU workshop paper at CVPR.
  • [2023-02] - Our paper got accepted at SCIA.
  • [2022-07] - Our team won the essay competition award at ICVSS.


Test-time Training for Matching-based Video Object Segmentation
Juliette Bertrand*, Giorgos Kordopatis-Zilos*, Yannis Kalantidis, Giorgos Tolias
NeurIPS, 2023
open review


Rethinking matching-based few-shot action recognition
Juliette Bertrand, Yannis Kalantidis, Giorgos Tolias
SCIA, 2023 (Oral Presentation) L3D-IVU@CVPR, 2023
project page / arXiv / code

Many thanks to Jon Barron for providing the template for this page.