activity
20152023
most citedEnd-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data

46 citations · 141 across the 13 of their papers we have counts for

collaborators

14 papers

cs.LG2023★ 1 cited

Analyzing the contribution of different passively collected data to predict Stress and Depression

Irene Bonafonte, Cristina Bustos, Abraham Larrazolo +6

The possibility of recognizing diverse aspects of human behavior and environmental context from passively captured data motivates its use for mental health assessment. In this pape…

cs.CV2021★ 4 cited

ChaLearn Looking at People: Inpainting and Denoising challenges

Sergio Escalera, Marti Soler, Stephane Ayache +6

Dealing with incomplete information is a well studied problem in the context of machine learning and computational intelligence. However, in the context of computer vision, the pro…

cs.CV2020★ 2 cited

Person Perception Biases Exposed: Revisiting the First Impressions Dataset

Julio C. S. Jacques Junior, Agata Lapedriza, Cristina Palmero +2

This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. We analyse for the first time the ori…

cs.CV2019

Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation

Daniel Sánchez, Marc Oliu, Meysam Madadi +2

While many individual tasks in the domain of human analysis have recently received an accuracy boost from deep learning approaches, multi-task learning has mostly been ignored due…

cs.CV2019★ 5 cited

On the effect of age perception biases for real age regression

Julio C. S. Jacques Junior, Cagri Ozcinar, Marina Marjanovic +3

Automatic age estimation from facial images represents an important task in computer vision. This paper analyses the effect of gender, age, ethnic, makeup and expression attributes…

cs.CV2018

From 2D to 3D Geodesic-based Garment Matching

Meysam Madadi, Egils Avots, Sergio Escalera +3

A new approach for 2D to 3D garment retexturing is proposed based on Gaussian mixture models and thin plate splines (TPS). An automatically segmented garment of an individual is ma…

cs.CV2018

Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification

Julio C. S. Jacques Junior, Xavier Baró, Sergio Escalera

Person re-identification has received special attention by the human analysis community in the last few years. To address the challenges in this field, many researchers have propos…

cs.CV2018★ 34 cited

Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos

Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah +14

Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analy…

stat.ML2017★ 29 cited

Learning Functional Causal Models with Generative Neural Networks

Olivier Goudet, Diviyan Kalainathan, Philippe Caillou +3

We introduce a new approach to functional causal modeling from observational data, called Causal Generative Neural Networks (CGNN). CGNN leverages the power of neural networks to l…

cs.CV2017

Automatic Recognition of Facial Displays of Unfelt Emotions

Kaustubh Kulkarni, Ciprian Adrian Corneanu, Ikechukwu Ofodile +5

Humans modify their facial expressions in order to communicate their internal states and sometimes to mislead observers regarding their true emotional states. Evidence in experimen…

cs.CV2017★ 46 cited

End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data

Meysam Madadi, Sergio Escalera, Xavier Baro +1

Despite recent advances in 3D pose estimation of human hands, especially thanks to the advent of CNNs and depth cameras, this task is still far from being solved. This is mainly du…

cs.CV2017★ 18 cited

End-to-end semantic face segmentation with conditional random fields as convolutional, recurrent and adversarial networks

Umut Güçlü, Yağmur Güçlütürk, Meysam Madadi +5

Recent years have seen a sharp increase in the number of related yet distinct advances in semantic segmentation. Here, we tackle this problem by leveraging the respective strengths…

cs.CV2017★ 2 cited

ChaLearn Looking at People: A Review of Events and Resources

Sergio Escalera, Xavier Baró, Hugo Jair Escalante +1

This paper reviews the historic of ChaLearn Looking at People (LAP) events. We started in 2011 (with the release of the first Kinect device) to run challenges related to human acti…

cs.HC2015

Non-Verbal Communication Analysis in Victim-Offender Mediations

Víctor Ponce-López, Sergio Escalera, Marc Pérez +2

In this paper we present a non-invasive ambient intelligence framework for the semi-automatic analysis of non-verbal communication applied to the restorative justice field. In part…