I’m very enthusiastic about deep learning applied to computer vision. Right now, my focus is on 3D reasoning with Graph Neural Networks. Previously, I worked on human trajectory forecasting and Object Navigation.
I enjoy listening to EDM, reading fiction, and playing tabletop Role-Playing Games in my free time.
To contact me, you can write me an email or write me on Twitter, using the links below!
|Mar 1, 2023||Our new work Positional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic Models is on ArXiv. We use Diffusion Probabilistic Models to generate the position of input elements in the continuous domain. We use it to solve Puzzles 🖼️ and order sentences ✍️.|
|Mar 1, 2022||Our newest work Spatial Commonsense Graph for Object localisation in partial Scenes has been accepted to CVPR 2022! 🥳 🥳|
ArXivPositional Diffusion: Ordering Unordered Sets with Diffusion Probabilistic ModelsIn ArXiv 2023
CVPRSpatial Commonsense Graph for Object localisation in Partial ScenesIn CVPR 2022
IROSPOMP++: Pomcp-based Active Visual Search in unknown indoor environmentsIn 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021
ICPRTransformer networks for trajectory forecastingIn 2020 25th International Conference on Pattern Recognition (ICPR) 2020