49 citations · 217 across the 32 of their papers we have counts for
5 papers · 1 filter
Knowledge is Never Enough: Towards Web Aided Deep Open World Recognition
Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci +2
While today's robots are able to perform sophisticated tasks, they can only act on objects they have been trained to recognize. This is a severe limitation: any robot will inevitab…
The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots
Fabio Cermelli, Massimiliano Mancini, Elisa Ricci +1
Deep networks have brought significant advances in robot perception, enabling to improve the capabilities of robots in several visual tasks, ranging from object detection and recog…
Kitting in the Wild through Online Domain Adaptation
Massimiliano Mancini, Hakan Karaoguz, Elisa Ricci +2
Technological developments call for increasing perception and action capabilities of robots. Among other skills, vision systems that can adapt to any possible change in the working…
Robust Place Categorization with Deep Domain Generalization
Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo +1
Traditional place categorization approaches in robot vision assume that training and test images have similar visual appearance. Therefore, any seasonal, illumination and environme…
Learning Deep NBNN Representations for Robust Place Categorization
Massimiliano Mancini, Samuel Rota Bulò, Elisa Ricci +1
This paper presents an approach for semantic place categorization using data obtained from RGB cameras. Previous studies on visual place recognition and classification have shown t…