34 citations · 45 across the 8 of their papers we have counts for
10 papers
Are we making progress in unlearning? Findings from the first NeurIPS unlearning competition
Eleni Triantafillou, Peter Kairouz, Fabian Pedregosa +12
We present the findings of the first NeurIPS competition on unlearning, which sought to stimulate the development of novel algorithms and initiate discussions on formal and robust…
AI Competitions and Benchmarks: Dataset Development
Romain Egele, Julio C. S. Jacques Junior, Jan N. van Rijn +7
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…
Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions
David Curto, Albert Clapés, Javier Selva +8
Personality computing has become an emerging topic in computer vision, due to the wide range of applications it can be used for. However, most works on the topic have focused on an…
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research
Ozge Mercanoglu Sincan, Julio C. S. Jacques Junior, Sergio Escalera +1
The performances of Sign Language Recognition (SLR) systems have improved considerably in recent years. However, several open challenges still need to be solved to allow SLR to be…
Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
Cristina Palmero, Javier Selva, Sorina Smeureanu +8
This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions, where interlocutors perform competitive and collaborative tasks with different behavior el…
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…
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition
Tomáš Sixta, Julio C. S. Jacques Junior, Pau Buch-Cardona +3
This work summarizes the 2020 ChaLearn Looking at People Fair Face Recognition and Analysis Challenge and provides a description of the top-winning solutions and analysis of the re…
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…
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…
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…