About

I am a PhD student at the University of Würzburg, Germany, working under the supervision of Radu Timofte (University of Würzburg, ETH Zurich). My research interests include Deep Learning, Computer Vision, Spoken Language Processing, Natural Language Processing and Reinforcement Learning.

I am currently working on Multimodal Learning and Model-based Reinforcement Learning. More specifically, the learning of predictive world models and controllable generative models from videos, allowing reinforcement learning agents to learn from imaginary situations without interacting with the real environment.

Before my PhD, I graduated from l'ESIEE Paris where I received a Master of Engineering degree and completed a graduation internship at Orange where I proposed an efficient solution for large vocabulary Automatic Speech Recognition.


News

  • 12 / 2023 One paper accepted at ICASSP 2024
  • 09 / 2023 Completed a 6-month research internship at Nvidia in Paris
  • 10 / 2022 One paper accepted at WACV 2023
  • 03 / 2022 Started my PhD and joined the Computer Vision Laboratory at the University of Würzburg
  • 09 / 2021 One paper accepted at ASRU 2021
  • 08 / 2021 Completed a 6-month research internship at Orange in Rennes

Publications

Multilingual Audio-Visual Speech Recognition with Hybrid CTC/RNN-T Fast Conformer
Maxime Burchi, Krishna C. Puvvada, Jagadeesh Balam, Boris Ginsburg, Radu Timofte
ICASSP 2024
Audio-Visual Efficient Conformer for Robust Speech Recognition
Maxime Burchi, Radu Timofte
WACV 2023
Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognition
Maxime Burchi, Valentin Vielzeuf
ASRU 2021