334 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Pontifícia Universidade Católica de São PauloBR10 papers
- Istituto Nazionale di Fisica Nucleare, Sezione di GenovaIT8 papers
- Universidade Federal do Rio Grande do SulBR7 papers
- Universidade SalvadorBR6 papers
- University of OuluFI5 papers
- Blekinge Institute of TechnologySE4 papers
- Hanyang UniversityKR4 papers
- Jožef Stefan InstituteSI4 papers
- Max Planck Institute for Extraterrestrial PhysicsDE4 papers
- Technical University of MunichDE4 papers
- Universidade Federal da BahiaBR4 papers
- Universität InnsbruckAT4 papers
5 papers · 1 filter
Explainable Adversarial Attacks on Coarse-to-Fine Classifiers
Akram Heidarizadeh, Connor Hatfield, Lorenzo Lazzarotto +2
Traditional adversarial attacks typically aim to alter the predicted labels of input images by generating perturbations that are imperceptible to the human eye. However, these appr…
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…
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…
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…
Order embeddings and character-level convolutions for multimodal alignment
Jônatas Wehrmann, Anderson Mattjie, Rodrigo C. Barros
With the novel and fast advances in the area of deep neural networks, several challenging image-based tasks have been recently approached by researchers in pattern recognition and…