3 papers
cs.CV2025
End-to-End Implicit Neural Representations for Classification
Alexander Gielisse, Jan van Gemert
Implicit neural representations (INRs) such as NeRF and SIREN encode a signal in neural network parameters and show excellent results for signal reconstruction. Using INRs for down…
cs.CV2025
ARC: Anchored Representation Clouds for High-Resolution INR Classification
Joost Luijmes, Alexander Gielisse, Roman Knyazhitskiy +1
Implicit neural representations (INRs) encode signals in neural network weights as a memory-efficient representation, decoupling sampling resolution from the associated resource co…
cs.CV2024
Local Attention Transformers for High-Detail Optical Flow Upsampling
Alexander Gielisse, Nergis Tömen, Jan van Gemert
Most recent works on optical flow use convex upsampling as the last step to obtain high-resolution flow. In this work, we show and discuss several issues and limitations of this cu…