Antigoni Tsiami — accepted AI-conference papers

2023

Convolutional Recurrent Neural Networks for the Classification of Cetacean Bioacoustic Patterns

Dimitris N. Makropoulos, Antigoni Tsiami, Aristides Prospathopoulos, Dimitris Kassis, Alexandros Frantzis, Emmanuel K. Skarsoulis +2

ICASSP 2023accepted

In this paper we focus on the development of a convolutional recurrent neural network (CRNN) to categorize biosignals collected in the Hellenic Trench, generated by two cetacean species, sperm whales (Physeter macrocephalus) and striped dolphins (Stenella coeruleoalba). We convert audio signals into…

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2020

STAViS: Spatio-Temporal AudioVisual Saliency Network

Antigoni Tsiami, Petros Koutras, Petros Maragos

CVPR 2020poster

We introduce STAViS, a spatio-temporal audiovisual saliency network that combines spatio-temporal visual and auditory information in order to efficiently address the problem of saliency estimation in videos. Our approach employs a single network that combines visual saliency and auditory features an…

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2018

Far-Field Audio-Visual Scene Perception of Multi-Party Human-Robot Interaction for Children and Adults

Antigoni Tsiami, Panagiotis Paraskevas Filntisis, Niki Efthymiou, Petros Koutras, Gerasimos Potamianos, Petros Maragos

ICASSP 2018accepted

Human-robot interaction (HRI) is a research area of growing interest with a multitude of applications for both children and adult user groups, as, for example, in edutainment and social robotics. Crucial, however, to its wider adoption remains the robust perception of HRI scenes in natural, untether…

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2018

Multi3: Multi-Sensory Perception System for Multi-Modal Child Interaction with Multiple Robots

Antigoni Tsiami, Petros Koutras, Niki Efthymiou, Panagiotis Paraskevas Filntisis, Gerasimos Potamianos, Petros Maragos

ICRA 2018poster

Child-robot interaction is an interdisciplinary research area that has been attracting growing interest, primarily focusing on edutainment applications. A crucial factor to the successful deployment and wide adoption of such applications remains the robust perception of the child's multi-modal actio…

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2016

Multimodal human action recognition in assistive human-robot interaction

Isidoros Rodomagoulakis, Nikolaos Kardaris, Vassilis Pitsikalis, E. Mavroudi, Athanasios Katsamanis, Antigoni Tsiami +1

ICASSP 2016accepted

Within the context of assistive robotics we develop an intelligent interface that provides multimodal sensory processing capabilities for human action recognition. Human action is considered in multimodal terms, containing inputs such as audio from microphone arrays, and visual inputs from high defi…

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2016

Towards a behaviorally-validated computational audiovisual saliency model

Antigoni Tsiami, Athanasios Katsamanis, Petros Maragos, Argiro Vatakis

ICASSP 2016accepted

Computational saliency models aim at predicting, in a bottom-up fashion, where human attention is drawn in the presented (visual, auditory or audiovisual) scene and have been proven useful in applications like robotic navigation, image compression and movie summarization. Despite the fact that well-…

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2015

Multichannel speech enhancement using MEMS microphones

Z.-I. Skordilis, Antigoni Tsiami, Petros Maragos, Gerasimos Potamianos, Luca Spelgatti, Roberto Sannino

ICASSP 2015accepted

In this work, we investigate the efficacy of Micro Electro-Mechanical System (MEMS) microphones, a newly developed technology of very compact sensors, for multichannel speech enhancement. Experiments are conducted on real speech data collected using a MEMS microphone array. First, the effectiveness…

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