activity
20142026
most citedUnsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception

196 citations · 266 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Event-based Gaze Control System for Accurate Real-time Spin Estimation in Professional Ball Games

Yunpu Hu, Fabian Schilling, Valentina Cavinato +6

Spin plays a crucial role in many ball sports due to its effect on the trajectory of the ball. Vision-based estimation of the ball's spin during a game with conventional cameras is…

cs.CV2025

Realizing Fully-Integrated, Low-Power, Event-Based Pupil Tracking with Neuromorphic Hardware

Federico Paredes-Valles, Yoshitaka Miyatani, Kirk Y. W. Scheper

Eye tracking is fundamental to numerous applications, yet achieving robust, high-frequency tracking with ultra-low power consumption remains challenging for wearable platforms. Whi…

cs.CV2023★ 2 cited

Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow

Federico Paredes-Vallés, Kirk Y. W. Scheper, Christophe De Wagter +1

Event cameras have recently gained significant traction since they open up new avenues for low-latency and low-power solutions to complex computer vision problems. To unlock these…

cs.RO2019★ 17 cited

Evolution of Robust High Speed Optical-Flow-Based Landing for Autonomous MAVs

Kirk Y. W. Scheper, Guido C. H. E. de Croon

Automatic optimization of robotic behavior has been the long-standing goal of Evolutionary Robotics. Allowing the problem at hand to be solved by automation often leads to novel ap…

cs.CV2018★ 196 cited

Unsupervised Learning of a Hierarchical Spiking Neural Network for Optical Flow Estimation: From Events to Global Motion Perception

Federico Paredes-Vallés, Kirk Y. W. Scheper, Guido C. H. E. de Croon

The combination of spiking neural networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This paper presents th…

cs.CV2017★ 48 cited

Vertical Landing for Micro Air Vehicles using Event-Based Optical Flow

Bas J. Pijnacker Hordijk, Kirk Y. W. Scheper, Guido C. H. E. de Croon

Small flying robots can perform landing maneuvers using bio-inspired optical flow by maintaining a constant divergence. However, optical flow is typically estimated from frame sequ…

cs.RO2016★ 1 cited

On-board Communication-based Relative Localization for Collision Avoidance in Micro Air Vehicle teams

Mario Coppola, Kimberly McGuire, Kirk Y. W. Scheper +1

Micro Air Vehicles (MAVs) will unlock their true potential once they can operate in groups. To this end, it is essential for them to estimate on-board the relative location of thei…

cs.RO2014★ 2 cited

Behaviour Trees for Evolutionary Robotics

Kirk Y. W. Scheper, Sjoerd Tijmons, Coen C. de Visser +1

Evolutionary Robotics allows robots with limited sensors and processing to tackle complex tasks by means of sensory-motor coordination. In this paper we show the first application…