8 papers · 1 filter
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…
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…
Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion
Tianyi Xiong, Jiayi Wu, Botao He +4
By combining differentiable rendering with explicit point-based scene representations, 3D Gaussian Splatting (3DGS) has demonstrated breakthrough 3D reconstruction capabilities. Ho…
MARVIS: Motion & Geometry Aware Real and Virtual Image Segmentation
Jiayi Wu, Xiaomin Lin, Shahriar Negahdaripour +2
Tasks such as autonomous navigation, 3D reconstruction, and object recognition near the water surfaces are crucial in marine robotics applications. However, challenges arise due to…
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
Dehao Yuan, Cornelia Fermüller, Tahseen Rabbani +2
We propose VecKM, a local point cloud geometry encoder that is descriptive and efficient to compute. VecKM leverages a unique approach by vectorizing a kernel mixture to represent…