7 citations · 7 across the 4 of their papers we have counts for
9 papers · 1 filter
Topology-Aware Non-Rigid Point Cloud Registration
Konstantinos Zampogiannis, Cornelia Fermuller, Yiannis Aloimonos
In this paper, we introduce a non-rigid registration pipeline for pairs of unorganized point clouds that may be topologically different. Standard warp field estimation algorithms,…
Unsupervised Learning of Dense Optical Flow, Depth and Egomotion from Sparse Event Data
Chengxi Ye, Anton Mitrokhin, Cornelia Fermüller +2
In this work we present a lightweight, unsupervised learning pipeline for \textit{dense} depth, optical flow and egomotion estimation from sparse event output of the Dynamic Vision…
Evenly Cascaded Convolutional Networks
Chengxi Ye, Chinmaya Devaraj, Michael Maynord +2
We introduce Evenly Cascaded convolutional Network (ECN), a neural network taking inspiration from the cascade algorithm of wavelet analysis. ECN employs two feature streams - a lo…
Real-time clustering and multi-target tracking using event-based sensors
Francisco Barranco, Cornelia Fermuller, Eduardo Ros
Clustering is crucial for many computer vision applications such as robust tracking, object detection and segmentation. This work presents a real-time clustering technique that tak…
Extracting Contact and Motion from Manipulation Videos
Konstantinos Zampogiannis, Kanishka Ganguly, Cornelia Fermuller +1
When we physically interact with our environment using our hands, we touch objects and force them to move: contact and motion are defining properties of manipulation. In this paper…
cilantro: A Lean, Versatile, and Efficient Library for Point Cloud Data Processing
Konstantinos Zampogiannis, Cornelia Fermuller, Yiannis Aloimonos
We introduce cilantro, an open-source C++ library for geometric and general-purpose point cloud data processing. The library provides functionality that covers low-level point clou…