Giulia Pasquale

University of Genoa, Vassar College, Italian Institute of Technology, Ingegneria dei Sistemi (Italy), Massachusetts Institute of Technology

Papers

13

Total Citations

258

H-Index

9

About

No biography available yet.

Research Focus

Robot13 · 258 citations
Computer science13 · 258 citations
Artificial intelligence13 · 258 citations
Computer vision10 · 224 citations
Deep learning10 · 220 citations
Machine learning10 · 214 citations
iCub9 · 192 citations
Humanoid robot9 · 192 citations
Robotics9 · 178 citations
Object (grammar)8 · 169 citations
Cognitive neuroscience of visual object recognition6 · 151 citations
Human–computer interaction4 · 112 citations

Key Achievements

9
H-Index
13
Papers
258
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network
50 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Genoa, Vassar College, Italian Institute of Technology, Ingegneria dei Sistemi (Italy), Massachusetts Institute of Technology

Top Papers

  1. 1
    Object identification from few examples by improving the invariance of a Deep Convolutional Neural Network
    50 citations · 2016
  2. 2
    Are we done with object recognition? The iCub robot’s perspective
    46 citations · 2018
  3. 3
    Teaching iCub to recognize objects using deep convolutional neural networks
    35 citations · 2015
  4. 4
    Interactive data collection for deep learning object detectors on humanoid robots
    28 citations · 2017
  5. 5
    On-line object detection: a robotics challenge
    26 citations · 2019
  6. 6
    Enabling Depth-Driven Visual Attention on the iCub Humanoid Robot: Instructions for Use and New Perspectives
    22 citations · 2016
  7. 7
    Improving Superquadric Modeling and Grasping with Prior on Object Shapes
    13 citations · 2018
  8. 8
    A Weakly Supervised Strategy for Learning Object Detection on a Humanoid Robot
    10 citations · 2019
  9. 9
    Real-world Object Recognition with Off-the-shelf Deep Conv Nets: How Many Objects can iCub Learn?
    9 citations · 2015
  10. 10
    Fast Object Segmentation Learning with Kernel-based Methods for Robotics
    8 citations · 2021

Key Collaborators

LNLorenzo Natale13 shared papersLRLorenzo Rosasco12 shared papersEMElisa Maiettini7 shared papersCCCarlo Ciliberto5 shared papersFCFederico Ceola3 shared papersFOFrancesca Odone3 shared papersVTVadim Tikhanoff2 shared papersTMTanis Mar1 shared papersGMGiacomo Meanti1 shared papersRCRaffaello Camoriano1 shared papersUPUgo Pattacini1 shared papersGVGiulia Vezzani1 shared papers
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