5 papers
Real-time Motion Segmentation with Event-based Normal Flow
Sheng Zhong, Zhongyang Ren, Xiya Zhu +3
Event-based cameras are bio-inspired sensors with pixels that independently and asynchronously respond to brightness changes at microsecond resolution, offering the potential to ha…
NeuroAI and Beyond
Jean-Marc Fellous, Gert Cauwenberghs, Cornelia Fermüller +2
Neuroscience and Artificial Intelligence (AI) have made significant progress in the past few years but have only been loosely inter-connected. Based on a workshop held in August 20…
Object Pose Estimation through Dexterous Touch
Amir-Hossein Shahidzadeh, Jiyue Zhu, Kezhou Chen +4
Robust object pose estimation is essential for manipulation and interaction tasks in robotics, particularly in scenarios where visual data is limited or sensitive to lighting, occl…
ControlTac: Force- and Position-Controlled Tactile Data Augmentation with a Single Reference Image
Dongyu Luo, Kelin Yu, Amir-Hossein Shahidzadeh +3
Vision-based tactile sensing has been widely used in perception, reconstruction, and robotic manipulation. However, collecting large-scale tactile data remains costly due to the lo…
A Real-Time Event-Based Normal Flow Estimator
Dehao Yuan, Cornelia Fermüller
This paper presents a real-time, asynchronous, event-based normal flow estimator. It follows the same algorithm as Learning Normal Flow Directly From Event Neighborhoods, but with…