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M. Pardàs

4 papers hereh-index 242.1k citations118 works total

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

author position
  • middle author1
  • last author3

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

fields
  • cs.CV3
  • eess.IV1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedHybridnet for depth estimation and semantic segmentation

11 citations · 11 across the 2 of their papers we have counts for

collaborators
Showing cs.CVShow all

3 papers · 1 filter

cs.CV2026

Diffusion-Based Synthesis of Complete 3D Biparametric Prostate MRI

Claudia Giardina, Montse Pardàs, Verónica Vilaplana

Synthetic biparametric MRI (bpMRI) may help alleviate the limited availability of large and representative prostate MRI datasets for deep learning applications. In this work, we pr…

cs.CV2024★ 11 cited

Hybridnet for depth estimation and semantic segmentation

Dalila Sánchez-Escobedo, Xiao Lin, Josep R. Casas +1

Semantic segmentation and depth estimation are two important tasks in the area of image processing. Traditionally, these two tasks are addressed in an independent manner. However,…

cs.CV2019

Graph based Dynamic Segmentation of Generic Objects in 3D

Xiao Lin, Josep R. Casas, Montse Pardàs

We propose a novel 3D segmentation method for RBGD stream data to deal with 3D object segmentation task in a generic scenario with frequent object interactions. It mainly contribut…

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