5 papers
Spiking Patches: Asynchronous, Sparse, and Efficient Tokens for Event Cameras
Christoffer Koo Øhrstrøm, Ronja Güldenring, Lazaros Nalpantidis
We propose tokenization of events and present a tokenizer, Spiking Patches, specifically designed for event cameras. Given a stream of asynchronous and spatially sparse events, our…
ClustViT: Clustering-based Token Merging for Semantic Segmentation
Fabio Montello, Ronja Güldenring, Lazaros Nalpantidis
Vision Transformers can achieve high accuracy and strong generalization across various contexts, but their practical applicability on real-world robotic systems is limited due to t…
From Web Data to Real Fields: Low-Cost Unsupervised Domain Adaptation for Agricultural Robots
Vasileios Tzouras, Lazaros Nalpantidis, Ronja Güldenring
In precision agriculture, vision models often struggle with new, unseen fields where crops and weeds have been influenced by external factors, resulting in compositions and appeara…
Vision-based robot manipulation of transparent liquid containers in a laboratory setting
Daniel Schober, Ronja Güldenring, James Love +1
Laboratory processes involving small volumes of solutions and active ingredients are often performed manually due to challenges in automation, such as high initial costs, semi-stru…
Zoom in on the Plant: Fine-grained Analysis of Leaf, Stem and Vein Instances
Ronja Güldenring, Rasmus Eckholdt Andersen, Lazaros Nalpantidis
Robot perception is far from what humans are capable of. Humans do not only have a complex semantic scene understanding but also extract fine-grained intra-object properties for th…