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researcher

G. Roig

4 papers hereh-index 242.7k citations66 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4

identity via Semantic Scholar / OpenAlex

most citedDo Deep Neural Networks Suffer from Crowding?

1 citations · 2 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2019★ 1 cited

The Algonauts Project: A Platform for Communication between the Sciences of Biological and Artificial Intelligence

Radoslaw Martin Cichy, Gemma Roig, Alex Andonian +6

In the last decade, artificial intelligence (AI) models inspired by the brain have made unprecedented progress in performing real-world perceptual tasks like object classification…

cs.CV2019

Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

Kshitij Dwivedi, Gemma Roig

Transfer learning is widely used in deep neural network models when there are few labeled examples available. The common approach is to take a pre-trained network in a similar task…

cs.CV2019

Deep Anchored Convolutional Neural Networks

Jiahui Huang, Kshitij Dwivedi, Gemma Roig

Convolutional Neural Networks (CNNs) have been proven to be extremely successful at solving computer vision tasks. State-of-the-art methods favor such deep network architectures fo…

cs.CV2017★ 1 cited

Do Deep Neural Networks Suffer from Crowding?

Anna Volokitin, Gemma Roig, Tomaso Poggio

Crowding is a visual effect suffered by humans, in which an object that can be recognized in isolation can no longer be recognized when other objects, called flankers, are placed c…

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