Search Results for author: Guillem Alenyà

Found 8 papers, 3 papers with code

Learned Vertex Descent: A New Direction for 3D Human Model Fitting

no code implementations12 May 2022 Enric Corona, Gerard Pons-Moll, Guillem Alenyà, Francesc Moreno-Noguer

An exhaustive evaluation demonstrates that our approach is able to capture the underlying body of clothed people with very different body shapes, achieving a significant improvement compared to state-of-the-art.

Semantic State Estimation in Cloth Manipulation Tasks

1 code implementation22 Mar 2022 Georgies Tzelepis, Eren Erdal Aksoy, Júlia Borràs, Guillem Alenyà

Understanding of deformable object manipulations such as textiles is a challenge due to the complexity and high dimensionality of the problem.

SMPLicit: Topology-aware Generative Model for Clothed People

1 code implementation CVPR 2021 Enric Corona, Albert Pumarola, Guillem Alenyà, Gerard Pons-Moll, Francesc Moreno-Noguer

In this paper we introduce SMPLicit, a novel generative model to jointly represent body pose, shape and clothing geometry.

3D Reconstruction

Online Action Recognition

no code implementations14 Dec 2020 Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà

It consists in recognizing, in an open world, the planning action that best explains a partially observable state transition from a knowledge library of first-order STRIPS actions, which is initially empty.

Action Recognition

Encoding cloth manipulations using a graph of states and transitions

no code implementations30 Sep 2020 Júlia Borràs, Guillem Alenyà, Carme Torras

Cloth manipulation is very relevant for domestic robotic tasks, but it presents many challenges due to the complexity of representing, recognizing and predicting the behaviour of cloth under manipulation.

Self-Supervised Policy Adaptation during Deployment

2 code implementations ICLR 2021 Nicklas Hansen, Rishabh Jangir, Yu Sun, Guillem Alenyà, Pieter Abbeel, Alexei A. Efros, Lerrel Pinto, Xiaolong Wang

A natural solution would be to keep training after deployment in the new environment, but this cannot be done if the new environment offers no reward signal.

STRIPS Action Discovery

no code implementations30 Jan 2020 Alejandro Suárez-Hernández, Javier Segovia-Aguas, Carme Torras, Guillem Alenyà

This knowledge is usually handcrafted and is hard to keep updated, even for system experts.

Context-aware Human Motion Prediction

no code implementations CVPR 2020 Enric Corona, Albert Pumarola, Guillem Alenyà, Francesc Moreno-Noguer

The problem of predicting human motion given a sequence of past observations is at the core of many applications in robotics and computer vision.

Graph Attention Human motion prediction +1

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