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Found 11 papers, 1 papers with code
AI Competitions and Benchmarks: Dataset Development
Initially, we develop the tasks involved in dataset development and offer insights into their effective management (including requirements, design, implementation, evaluation, distribution, and maintenance).
Winning solutions and post-challenge analyses of the ChaLearn AutoDL challenge 2019
Code submissions were executed on hidden tasks, with limited time and computational resources, pushing solutions that get results quickly.
Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions
Personality computing has become an emerging topic in computer vision, due to the wide range of applications it can be used for.
ChaLearn LAP Large Scale Signer Independent Isolated Sign Language Recognition Challenge: Design, Results and Future Research
However, several open challenges still need to be solved to allow SLR to be useful in practice.
Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
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 elicitation and cognitive workload.
Person Perception Biases Exposed: Revisiting the First Impressions Dataset
This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing.
FairFace Challenge at ECCV 2020: Analyzing Bias in Face Recognition
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 results.
On the Effect of Observed Subject Biases in Apparent Personality Analysis from Audio-visual Signals
Furthermore, given the interpretability nature of our network design, we provide an incremental analysis on the impact of each possible source of bias on final network predictions.
On the effect of age perception biases for real age regression
Our model outperformed a state-of-the-art architecture proposed to separately address apparent and real age regression.
First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
However, recently there has been an increasing interest from the computer vision community in analyzing personality from visual data.
Exploiting feature representations through similarity learning, post-ranking and ranking aggregation for person re-identification
In this work, we propose to exploit a post-ranking approach and combine different feature representations through ranking aggregation.
