activity
20172023
most citedLifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization

94 citations · 163 across the 15 of their papers we have counts for

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Showing cs.CVShow all

6 papers · 1 filter

cs.CV2023★ 1 cited

Continual Facial Expression Recognition: A Benchmark

Nikhil Churamani, Tolga Dimlioglu, German I. Parisi +1

Understanding human affective behaviour, especially in the dynamics of real-world settings, requires Facial Expression Recognition (FER) models to continuously adapt to individual…

cs.CV2020

CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions

Vincenzo Lomonaco, Lorenzo Pellegrini, Pau Rodriguez +12

In the last few years, we have witnessed a renewed and fast-growing interest in continual learning with deep neural networks with the shared objective of making current AI systems…

cs.CV2020★ 2 cited

IROS 2019 Lifelong Robotic Vision Challenge -- Lifelong Object Recognition Report

Qi She, Fan Feng, Qi Liu +33

This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Lifelong Object Recognition Challenge) with methods and results from the top finalists (out of over~…

cs.CV2020

Human Action Recognition and Assessment via Deep Neural Network Self-Organization

German I. Parisi

The robust recognition and assessment of human actions are crucial in human-robot interaction (HRI) domains. While state-of-the-art models of action perception show remarkable resu…

cs.CV2019★ 4 cited

A Personalized Affective Memory Neural Model for Improving Emotion Recognition

Pablo Barros, German I. Parisi, Stefan Wermter

Recent models of emotion recognition strongly rely on supervised deep learning solutions for the distinction of general emotion expressions. However, they are not reliable when rec…

cs.CV2017

An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction

Luiza Mici, German I. Parisi, Stefan Wermter

During visuomotor tasks, robots must compensate for temporal delays inherent in their sensorimotor processing systems. Delay compensation becomes crucial in a dynamic environment w…