activity
20202025
most citedBenchmarking the Sim-to-Real Gap in Cloth Manipulation

29 citations · 33 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2025

Beyond Static Perception: Integrating Temporal Context into VLMs for Cloth Folding

Oriol Barbany, Adrià Colomé, Carme Torras

Manipulating clothes is challenging due to their complex dynamics, high deformability, and frequent self-occlusions. Garments exhibit a nearly infinite number of configurations, ma…

cs.RO2025

BiFold: Bimanual Cloth Folding with Language Guidance

Oriol Barbany, Adrià Colomé, Carme Torras

Cloth folding is a complex task due to the inevitable self-occlusions of clothes, their complicated dynamics, and the disparate materials, geometries, and textures that garments ca…

cs.RO2023★ 29 cited

Benchmarking the Sim-to-Real Gap in Cloth Manipulation

David Blanco-Mulero, Oriol Barbany, Gokhan Alcan +3

Realistic physics engines play a crucial role for learning to manipulate deformable objects such as garments in simulation. By doing so, researchers can circumvent challenges such…

cs.CV2022

Deformable Surface Reconstruction via Riemannian Metric Preservation

Oriol Barbany, Adrià Colomé, Carme Torras

Estimating the pose of an object from a monocular image is an inverse problem fundamental in computer vision. The ill-posed nature of this problem requires incorporating deformatio…

cs.IR2021

Ranker-agnostic Contextual Position Bias Estimation

Oriol Barbany Mayor, Vito Bellini, Alexander Buchholz +4

Learning-to-rank (LTR) algorithms are ubiquitous and necessary to explore the extensive catalogs of media providers. To avoid the user examining all the results, its preferences ar…

cs.LG2020

Affine-Invariant Robust Training

Oriol Barbany Mayor

The field of adversarial robustness has attracted significant attention in machine learning. Contrary to the common approach of training models that are accurate in average case, i…

eess.AS2020★ 4 cited

FastVC: Fast Voice Conversion with non-parallel data

Oriol Barbany Mayor, Milos Cernak

This paper introduces FastVC, an end-to-end model for fast Voice Conversion (VC). The proposed model can convert speech of arbitrary length from multiple source speakers to multipl…