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20182026
most citedDeep Unsupervised Image Hashing by Maximizing Bit Entropy

3 citations · 4 across the 12 of their papers we have counts for

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17 papers · 1 filter

cs.CV2026

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…

cs.CV2026

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…

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…

cs.CV2024

HAVANA: Hierarchical stochastic neighbor embedding for Accelerated Video ANnotAtions

Alexandru Bobe, Jan C. van Gemert

Video annotation is a critical and time-consuming task in computer vision research and applications. This paper presents a novel annotation pipeline that uses pre-extracted feature…

cs.CV2024

Pushing the boundaries of event subsampling in event-based video classification using CNNs

Hesam Araghi, Jan van Gemert, Nergis Tomen

Event cameras offer low-power visual sensing capabilities ideal for edge-device applications. However, their high event rate, driven by high temporal details, can be restrictive in…

cs.CV2024

Aligning Object Detector Bounding Boxes with Human Preference

Ombretta Strafforello, Osman S. Kayhan, Oana Inel +2

Previous work shows that humans tend to prefer large bounding boxes over small bounding boxes with the same IoU. However, we show here that commonly used object detectors predict l…