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E. Ricci

55 papers hereh-index 5616.9k citations199 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author27
  • last author26

Across the 53 of 55 papers where every author was matched, so the position is known.

fields
  • cs.CV48
  • cs.RO4
  • cs.GR1
  • math.AP1
  • stat.ML1
same name
  • E. Ricci — 19 papers
  • E. Ricci — 2 papers
  • E. Ricci — 1 paper, h 7

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20152023
most citedLearning Deep Structured Multi-Scale Features using Attention-Gated CRFs for Contour Prediction

103 citations · 309 across the 21 of their papers we have counts for

collaborators
Showing cs.ROShow all

4 papers · 1 filter

cs.RO2019

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…

cs.RO2019

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…

cs.RO2018

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…

cs.RO2018

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.