25 citations · 114 across the 33 of their papers we have counts for
11 papers · 1 filter
Emotion Intensity Matters: Generating Realistic Expressions in Virtual Humans with CVAEs
Vitor Miguel Xavier Peres, Lara Volpato, Gabriel Ferri Scnheider +1
Generating expressive facial behavior in virtual humans (VHs) remains a central challenge in affective computing and character animation. This paper presents a novel approach based…
Computer Vision for Wildlife Monitoring: Detecting Brown Howler Monkeys using YOLO
Gabriel Ferri Schneider, Guido Luis Glufke Mainardi, Paulo Ricardo Knob +4
Urban expansion threatens global biodiversity, especially affecting arboreal species due to the fragmentation of forest habitats. The movement of arboreal species across disjointed…
True to Tone? Quantifying Skin Tone Fidelity and Bias in Photographic-to-Virtual Human Pipelines
Gabriel Ferri Schneider, Erick Menezes, Rafael Mecenas +3
Accurate reproduction of facial skin tone is essential for realism, identity preservation, and fairness in Virtual Human (VH) rendering. However, most accessible avatar creation pi…
Detecting Events in Crowds Through Changes in Geometrical Dimensions of Pedestrians
Matheus Schreiner Homrich da Silva, Paulo Brossard de Souza Pinto Neto, Rodolfo Migon Favaretto +1
Security is an important topic in our contemporary world, and the ability to automate the detection of any events of interest that can take place in a crowd is of great interest to…
Can we truly transfer an actor's genuine happiness to avatars? An investigation into virtual, real, posed and spontaneous faces
Vitor Miguel Xavier Peres, Greice Pinho Dal Molin, Soraia Raupp Musse
A look is worth a thousand words is a popular phrase. And why is a simple look enough to portray our feelings about something or someone? Behind this question are the theoretical f…
Mitigating Bias in Facial Analysis Systems by Incorporating Label Diversity
Camila Kolling, Victor Araujo, Adriano Veloso +1
Facial analysis models are increasingly applied in real-world applications that have significant impact on peoples' lives. However, as literature has shown, models that automatical…
Detecting Personality and Emotion Traits in Crowds from Video Sequences
Rodolfo Migon Favaretto, Paulo Knob, Soraia Raupp Musse +2
This paper presents a methodology to detect personality and basic emotion characteristics of crowds in video sequences. Firstly, individuals are detected and tracked, then groups a…
A Software to Detect OCC Emotion, Big-Five Personality and Hofstede Cultural Dimensions of Pedestrians from Video Sequences
Rodolfo Migon Favaretto, Victor Araujo, Soraia Raupp Musse +2
This paper presents a video analysis application to detect personality, emotion and cultural aspects from pedestrians in video sequences, along with a visualizer of features. The p…
Automatic Dataset Augmentation Using Virtual Human Simulation
Marcelo C. Ghilardi, Leandro Dihl, Estevão Testa +4
Virtual Human Simulation has been widely used for different purposes, such as comfort or accessibility analysis. In this paper, we investigate the possibility of using this type of…
Predicting Future Pedestrian Motion in Video Sequences using Crowd Simulation
Cliceres dal Bianco, Soraia Raupp Musse
While human and group analysis have become an important area in last decades, some current and relevant applications involve to estimate future motion of pedestrians in real video…
Using Big Five Personality Model to Detect Cultural Aspects in Crowds
Rodolfo Migon Favaretto, Leandro Dihl, Soraia Raupp Musse +2
The use of information technology in the study of human behavior is a subject of great scientific interest. Cultural and personality aspects are factors that influence how people i…