5 papers
Cooking beyond Frames: A Stereo Event Camera Dataset in the Kitchen
Chengming Feng, Hesam Araghi, Liming Zheng +4
Event cameras, also known as neuromorphic cameras, have gained significant attention in recent years due to their high temporal resolution, high dynamic range, and low power consum…
Rare-Aware Autoencoding: Reconstructing Spatially Imbalanced Data
Alejandro Castañeda Garcia, Jan van Gemert, Daan Brinks +1
Autoencoders can be challenged by spatially non-uniform sampling of image content. This is common in medical imaging, biology, and physics, where informative patterns occur rarely…
Deep activity propagation via weight initialization in spiking neural networks
Aurora Micheli, Olaf Booij, Jan van Gemert +1
Spiking Neural Networks (SNNs) and neuromorphic computing offer bio-inspired advantages such as sparsity and ultra-low power consumption, providing a promising alternative to conve…
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems
Alejandro Castañeda Garcia, Jan van Gemert, Daan Brinks +1
Extracting physical dynamical system parameters from recorded observations is key in natural science. Current methods for automatic parameter estimation from video train supervised…
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…