Xavier Baró
YOU?
Author Swipe
View article: AI Competitions and Benchmarks: Dataset Development
AI Competitions and Benchmarks: Dataset Development Open
Machine learning is now used in many applications thanks to its ability to predict, generate, or discover patterns from large quantities of data. However, the process of collecting and transforming data for practical use is intricate. Even…
View article: Analyzing the contribution of different passively collected data to predict Stress and Depression
Analyzing the contribution of different passively collected data to predict Stress and Depression Open
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 paper, we analyze the contribution of different passively colle…
View article: CodaLab Competitions An Open Source Platform to Organize Scientific Challenges
CodaLab Competitions An Open Source Platform to Organize Scientific Challenges Open
CodaLab Competitions is an open source web platform designed to help data scientists and research teams to crowd-source the resolution of machine learning problems through the organization of competitions, also called challenges or contest…
View article: End‐to‐end global to local convolutional neural network learning for hand pose recovery in depth data
End‐to‐end global to local convolutional neural network learning for hand pose recovery in depth data Open
Despite recent advances in 3‐D pose estimation of human hands, thanks to the advent of convolutional neural networks (CNNs) and depth cameras, this task is still far from being solved in uncontrolled setups. This is mainly due to the highl…
View article: ChaLearn Looking at People: Inpainting and Denoising challenges
ChaLearn Looking at People: Inpainting and Denoising challenges Open
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 problem has only been studied in specific scenarios (e.g., cer…
View article: Person Perception Biases Exposed: Revisiting the First Impressions Dataset
Person Perception Biases Exposed: Revisiting the First Impressions Dataset Open
This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. We analyse for the first time the original pairwise annotations, and reveal existing person perc…
View article: Guest Editorial: Image and Video Inpainting and Denoising
Guest Editorial: Image and Video Inpainting and Denoising Open
\n Contains fulltext :\n 217792.pdf (Publisher’s version ) (Open Access)\n
View article: Modeling, Recognizing, and Explaining Apparent Personality From Videos
Modeling, Recognizing, and Explaining Apparent Personality From Videos Open
Explainability and interpretability are two critical aspects of decision support systems. Despite their importance, it is only recently that researchers are starting to explore these aspects. This paper provides an introduction to explaina…
View article: First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis Open
Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point …
View article: Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation
Multi-task human analysis in still images: 2D/3D pose, depth map, and multi-part segmentation Open
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 to a lack of data. New synthetic datasets are being release…
View article: Multi-task human analysis in still images: 2D/3D pose, depth map, and\n multi-part segmentation
Multi-task human analysis in still images: 2D/3D pose, depth map, and\n multi-part segmentation Open
While many individual tasks in the domain of human analysis have recently\nreceived an accuracy boost from deep learning approaches, multi-task learning\nhas mostly been ignored due to a lack of data. New synthetic datasets are being\nrele…
View article: On the effect of age perception biases for real age regression
On the effect of age perception biases for real age regression Open
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 of faces as sources of bias to improve deep apparent age p…
View article: Automatic Recognition of Facial Displays of Unfelt Emotions
Automatic Recognition of Facial Displays of Unfelt Emotions Open
Humans modify their facial expressions in order to communicate their internal states and sometimes to mislead observers regarding their true emotional states. Evidence in experimental psychology shows that discriminative facial responses a…
View article: Guest Editorial: The Computational Face
Guest Editorial: The Computational Face Open
International audience
View article: From 2D to 3D Geodesic-based Garment Matching
From 2D to 3D Geodesic-based Garment Matching Open
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 matched to a new source garment and rendered, resulting in au…
View article: First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis Open
Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point …
View article: First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis
First Impressions: A Survey on Computer Vision-Based Apparent Personality Trait Analysis Open
Personality analysis has been widely studied in psychology, neuropsychology, and signal processing fields, among others. From the past few years, it also became an attractive research area in visual computing. From the computational point …
View article: Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification
Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification Open
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 proposed different strategies, which basically exploit either cro…
View article: Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos
Explaining First Impressions: Modeling, Recognizing, and Explaining Apparent Personality from Videos Open
Explainability and interpretability are two critical aspects of decision support systems. Within computer vision, they are critical in certain tasks related to human behavior analysis such as in health care applications. Despite their impo…
View article: Dominant and Complementary Emotion Recognition From Still Images of Faces
Dominant and Complementary Emotion Recognition From Still Images of Faces Open
Emotion recognition has a key role in affective computing. Recently, fine-grained emotion analysis, such as compound facial expression of emotions, has attracted high interest of researchers working on affective computing. A compound facia…
View article: Automatic Recognition of Deceptive Facial Expressions of Emotion.
Automatic Recognition of Deceptive Facial Expressions of Emotion. Open
Humans modify facial expressions in order to mislead observers regarding their true emotional states. Being able to recognize the authenticity of emotional displays is notoriously difficult for human observers. Evidence in experimental psy…
View article: Visualizing apparent personality analysis with deep residual networks
Visualizing apparent personality analysis with deep residual networks Open
Automatic prediction of personality traits is a subjective task that has recently received much attention. Specifically, automatic apparent personality trait prediction from multimodal data has emerged as a hot topic within the filed of co…
View article: End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data
End-to-end Global to Local CNN Learning for Hand Pose Recovery in Depth Data Open
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 due to the highly non-linear dynamics of fingers, which make …