17 citations · 28 across the 5 of their papers we have counts for
7 papers
Documenting use cases in the affective computing domain using Unified Modeling Language
Isabelle Hupont, Emilia Gomez
The study of the ethical impact of AI and the design of trustworthy systems needs the analysis of the scenarios where AI systems are used, which is related to the software engineer…
Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project
Isabelle Hupont, Emilia Gomez, Songul Tolan +2
DivinAI is an open and collaborative initiative promoted by the European Commission's Joint Research Centre to measure and monitor diversity indicators related to AI conferences, w…
How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research
Isabelle Hupont, Songül Tolan, Ana Freire +3
ACII is the premier international forum for presenting the latest research on affective computing. In this work, we monitor, quantify and reflect on the diversity in ACII conferenc…
Rank-based verification for long-term face tracking in crowded scenes
Germán Barquero, Isabelle Hupont, Carles Fernández
Most current multi-object trackers focus on short-term tracking, and are based on deep and complex systems that often cannot operate in real-time, making them impractical for video…
Hierarchical Residual Attention Network for Single Image Super-Resolution
Parichehr Behjati, Pau Rodriguez, Armin Mehri +3
Convolutional neural networks are the most successful models in single image super-resolution. Deeper networks, residual connections, and attention mechanisms have further improved…
Long-Term Face Tracking for Crowded Video-Surveillance Scenarios
Germán Barquero, Carles Fernández, Isabelle Hupont
Most current multi-object trackers focus on short-term tracking, and are based on deep and complex systems that do not operate in real-time, often making them impractical for video…