23 citations · 57 across the 37 of their papers we have counts for
41 papers
The RNN Homunculus: Learning to Gate Long-Term Memory
Zeyu Fan, Alexandru-Dragos Manolache, Jan van Gemert
Learning long-range dependencies with recurrent neural networks (RNNs) is difficult because of the vanishing gradient problem. Gated recurrent neural networks like GRUs and LSTMs a…
On Hyperparameter Tuning on the Test Set
Matteo Fregonara, Tom Viering, Jan van Gemert
"Don't tune hyperparameters on the test set" is often stated in machine learning textbooks. Violating it is considered a cardinal sin that produces misleadingly optimistic results,…
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…
Identifying Ethical Biases in Action Recognition Models
Ana Baltaretu, Pascal Benschop, Jan van Gemert
Human Action Recognition (HAR) models are increasingly deployed in high-stakes environments, yet their fairness across different human appearances has not been analyzed. We introdu…
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…
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…