no code implementations • 11 Apr 2023 • Amelie Royer, Ilia Karmanov, Andrii Skliar, Babak Ehteshami Bejnordi, Tijmen Blankevoort
Mixture of Experts (MoE) are rising in popularity as a means to train extremely large-scale models, yet allowing for a reasonable computational cost at inference time.
no code implementations • 14 Nov 2022 • Yuwei Ren, Jiuyuan Lu, Andrian Beletchi, Yin Huang, Ilia Karmanov, Daniel Fontijne, Chirag Patel, Hao Xu
Range-Doppler information (RDI) is obtained by using pulse Doppler radar for gesture recognition.
no code implementations • NeurIPS 2021 • Farhad Ghazvinian Zanjani, Ilia Karmanov, Hanno Ackermann, Daniel Dijkman, Simone Merlin, Max Welling, Fatih Porikli
This work presents a data-driven approach for the indoor localization of an observer on a 2D topological map of the environment.
1 code implementation • 31 May 2021 • Ilia Karmanov, Farhad G. Zanjani, Simone Merlin, Ishaque Kadampot, Daniel Dijkman
Our second contribution is two weakly supervised losses that map this latent space into a Cartesian map, resulting in meter-accuracy position results.
no code implementations • ICCV 2021 • Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek
With the motion model we generate pseudo-labels for a large unlabeled video collection, which enables us to transfer knowledge by learning to predict these pseudo-labels with an appearance model.