◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Marc Masana

icg.tugraz.at

21 papers hereh-index 174.8k citations39 works total

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

author position
  • first author6
  • middle author10
  • last author4

Across the 20 of 21 papers where every author was matched, so the position is known.

fields
  • cs.CV11
  • cs.LG7
  • cs.CL3
affiliations
  • icg.tugraz.at
  • cvc.uab.cat;cvc.uab.es
HomepageORCID 0000-0003-3254-3096
same name
  • Marc Masana — 6 papers, h 1

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
20162026
most citedA continual learning survey: Defying forgetting in classification tasks

1.7k citations · 1.9k across the 16 of their papers we have counts for

collaborators
Showing 2018Show all

4 papers · 1 filter

cs.CL2018

LIUM-CVC Submissions for WMT18 Multimodal Translation Task

Ozan Caglayan, Adrien Bardet, Fethi Bougares +5

This paper describes the multimodal Neural Machine Translation systems developed by LIUM and CVC for WMT18 Shared Task on Multimodal Translation. This year we propose several modif…

cs.CV2018★ 63 cited

Metric Learning for Novelty and Anomaly Detection

Marc Masana, Idoia Ruiz, Joan Serrat +2

When neural networks process images which do not resemble the distribution seen during training, so called out-of-distribution images, they often make wrong predictions, and do so…

cs.CV2018★ 11 cited

Context Proposals for Saliency Detection

Aymen Azaza, Joost van de Weijer, Ali Douik +1

One of the fundamental properties of a salient object region is its contrast with the immediate context. The problem is that numerous object regions exist which potentially can all…

cs.CV2018★ 35 cited

Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting

Xialei Liu, Marc Masana, Luis Herranz +3

In this paper we propose an approach to avoiding catastrophic forgetting in sequential task learning scenarios. Our technique is based on a network reparameterization that approxim…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.