German I. Parisi | DeepAI

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∙ 05/10/2023

Continual Facial Expression Recognition: A Benchmark

Understanding human affective behaviour, especially in the dynamics of r...

0 Nikhil Churamani, et al. ∙

∙ 09/14/2020

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

In the last few years, we have witnessed a renewed and fast-growing inte...

75 Vincenzo Lomonaco, et al. ∙

∙ 04/26/2020

IROS 2019 Lifelong Robotic Vision Challenge – Lifelong Object Recognition Report

This report summarizes IROS 2019-Lifelong Robotic Vision Competition (Li...

30 Qi She, et al. ∙

∙ 03/20/2020

Online Continual Learning on Sequences

Online continual learning (OCL) refers to the ability of a system to lea...

48 German I. Parisi, et al. ∙

∙ 01/04/2020

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

The robust recognition and assessment of human actions are crucial in hu...

0 German I. Parisi, et al. ∙

∙ 07/02/2019

Rethinking Continual Learning for Autonomous Agents and Robots

Continual learning refers to the ability of a biological or artificial s...

4 German I. Parisi, et al. ∙

∙ 04/23/2019

A Personalized Affective Memory Neural Model for Improving Emotion Recognition

Recent models of emotion recognition strongly rely on supervised deep le...

26 Pablo Barros, et al. ∙

∙ 11/06/2018

On the role of neurogenesis in overcoming catastrophic forgetting

Lifelong learning capabilities are crucial for artificial autonomous age...

2 German I. Parisi, et al. ∙

∙ 10/15/2018

Assessing the Contribution of Semantic Congruency to Multisensory Integration and Conflict Resolution

The efficient integration of multisensory observations is a key property...

0 Di Fu, et al. ∙

∙ 07/26/2018

Multi-modal Feedback for Affordance-driven Interactive Reinforcement Learning

Interactive reinforcement learning (IRL) extends traditional reinforceme...

0 Francisco Cruz, et al. ∙

∙ 07/13/2018

Towards Modeling the Interaction of Spatial-Associative Neural Network Representations for Multisensory Perception

Our daily perceptual experience is driven by different neural mechanisms...

0 German I. Parisi, et al. ∙

∙ 05/28/2018

Lifelong Learning of Spatiotemporal Representations with Dual-Memory Recurrent Self-Organization

Humans excel at continually acquiring and fine-tuning knowledge over sus...

0 German I. Parisi, et al. ∙

∙ 02/28/2018

A Neurorobotic Experiment for Crossmodal Conflict Resolution in Complex Environments

Crossmodal conflict resolution is a crucial component of robot sensorimo...

0 German I. Parisi, et al. ∙

∙ 02/21/2018

Continual Lifelong Learning with Neural Networks: A Review

Humans and animals have the ability to continually acquire and fine-tune...

1 German I. Parisi, et al. ∙

∙ 02/19/2018

Closing the loop on multisensory interactions: A neural architecture for multisensory causal inference and recalibration

When the brain receives input from multiple sensory systems, it is faced...

0 Jonathan Tong, et al. ∙

∙ 01/23/2018

Expectation Learning for Adaptive Crossmodal Stimuli Association

The human brain is able to learn, generalize, and predict crossmodal sti...

0 Pablo Barros, et al. ∙

∙ 12/22/2017

An Incremental Self-Organizing Architecture for Sensorimotor Learning and Prediction

During visuomotor tasks, robots have to compensate for the temporal dela...

0 Luiza Mici, et al. ∙

∙ 10/05/2017

A self-organizing neural network architecture for learning human-object interactions

The visual recognition of transitive actions comprising human-object int...

0 Luiza Mici, et al. ∙

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