23 citations · 57 across the 37 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…
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…
GazeHTA: End-to-end Gaze Target Detection with Head-Target Association
Zhi-Yi Lin, Jouh Yeong Chew, Jan van Gemert +1
Precisely detecting which object a person is paying attention to is critical for human-robot interaction since it provides important cues for the next action from the human user. W…
Deep Continuous Networks
Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
CNNs and computational models of biological vision share some fundamental principles, which opened new avenues of research. However, fruitful cross-field research is hampered by co…