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researcher

Daniel V. Ruiz

9 papers hereh-index 441 citations9 works total

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

author position
  • first author5
  • middle author4

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • cs.CV6
  • eess.IV2
  • eess.SP1

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedIDA: Improved Data Augmentation Applied to Salient Object Detection

9 citations · 12 across the 9 of their papers we have counts for

collaborators
Showing 2019Show all

2 papers · 1 filter

cs.CV2019

ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection

Daniel V. Ruiz, Bruno A. Krinski, Eduardo Todt

In this paper, we propose a novel data augmentation technique (ANDA) applied to the Salient Object Detection (SOD) context. Standard data augmentation techniques proposed in the li…

cs.CV2019

Masking Salient Object Detection, a Mask Region-based Convolutional Neural Network Analysis for Segmentation of Salient Objects

Bruno A. Krinski, Daniel V. Ruiz, Guilherme Z. Machado +1

In this paper, we propose a broad comparison between Fully Convolutional Networks (FCNs) and Mask Region-based Convolutional Neural Networks (Mask-RCNNs) applied in the Salient Obj…

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