Rembert Daems

According to our database, Rembert Daems authored at least 8 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

CCPose: high-precision six-dimensional pose estimation for industrial objects.

Peter De Roovere, Rembert Daems, Jonathan Croenen, Francis Wyffels

Mach. Vis. Appl., January, 2026

2025

Fractional Diffusion Bridge Models.

Gabriel Nobis, Maximilian Springenberg, Arina Belova, Rembert Daems, Christoph Knochenhauer, Manfred Opper, Tolga Birdal, Wojciech Samek

CoRR, November, 2025

Efficient Training of Neural SDEs Using Stochastic Optimal Control.

Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal

CoRR, May, 2025

Improved Allergy Wheal Detection for the Skin Prick Automated Test Device.

Rembert Daems, Sven Seys, Valérie Hox, Adam Chaker, Glynnis De Greve, Winde Lemmens, Anne-Lise Poirrier, Eline Beckers, Zuzana Diamant, Carmen Dierickx, Peter W. Hellings, Caroline Huart, Claudia Jerin, Mark Jorissen, Hanne Oscé, Karolien Roux, Mark Thompson, Sophie Tombu, Saartje Uyttebroek, Andrzej Zarowski, Senne Gorris, Laura Van Gerven, Dirk Loeckx, Thomas Demeester

Proceedings of the Artificial Intelligence in Medicine - 23rd International Conference, 2025

2024

KeyCLD: Learning constrained Lagrangian dynamics in keypoint coordinates from images.

Rembert Daems, Jeroen Taets, Francis Wyffels, Guillaume Crevecoeur

Neurocomputing, March, 2024

Generative Fractional Diffusion Models.

Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Variational Inference for SDEs Driven by Fractional Noise.

Rembert Daems, Manfred Opper, Guillaume Crevecoeur, Tolga Birdal

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2022

CenDerNet: Center and Curvature Representations for Render-and-Compare 6D Pose Estimation.

Peter De Roovere, Rembert Daems, Jonathan Croenen, Taoufik Bourgana, Joris de Hoog, Francis Wyffels

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022