Publications

Acoustic Rendering Based on Geometry Reduction and Acoustic Material Classification

Published in 2022 IEEE Conference on Games (CoG), 2022

Overview of The thesis work

Recommended citation: Colombo, M., Dolhasz, A., Hockman, J. and Harvey, C., 2022, August. Acoustic Rendering Based on Geometry Reduction and Acoustic Material Classification. In 2022 IEEE Conference on Games (CoG) (pp. 409-416). IEEE. https://www.researchgate.net/publication/363713882_Acoustic_Rendering_Based_on_Geometry_Reduction_and_Acoustic_Material_Classification

Vision-based Acoustic Information Retrieval for Interactive Sound Rendering

Published in 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2021

Overview of The thesis work

Recommended citation: Colombo, M., 2021, October. Vision-based Acoustic Information Retrieval for Interactive Sound Rendering. In 2021 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct) (pp. 487-490). IEEE. https://www.researchgate.net/publication/354661690_Vision-based_Acoustic_Information_Retrieval_for_Interactive_Sound_Rendering

Psychometric Mapping of Audio Features to Perceived Physical Characteristics of Virtual Objects

Published in IEEE Conference on Games (CoG), 2021

System overview

Recommended citation: Colombo, M., Dolhasz, A., Hockman, J. and Harvey, C., 2021, August. Psychometric Mapping of Audio Features to Perceived Physical Characteristics of Virtual Objects. In 2021 IEEE Conference on Games (CoG) (pp. 1-4). IEEE. https://www.researchgate.net/publication/354178279_Psychometric_Mapping_of_Audio_Features_to_Perceived_Physical_Characteristics_of_Virtual_Objects

A Texture Superpixel Approach to Semantic Material Classification for Acoustic Geometry Tagging

Published in CHI Conference on Human Factors in Computing Systems, 2021

System overview

Recommended citation: Colombo, M., Dolhasz, A. and Harvey, C., 2021, May. A texture superpixel approach to semantic material classification for acoustic geometry tagging. In Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-7). https://dl.acm.org/doi/abs/10.1145/3411763.3451657?casa_token=a1DLazhLXDYAAAAA:Ua0q94a0bikPZoeVdyfdcLKuazS4H4ET9Tl-pEXV0IVoA12vvQNslYl-cRJREQE_PQoUEVvLcSG-

A Computer Vision-Inspired Automatic Acoustic Material Tagging System for Virtual Environments

Published in IEEE Conference on Games (CoG), 2020

Pipeline Overview

Recommended citation: Colombo, M., Dolhasz, A. and Harvey, C., 2020, August. A computer vision inspired automatic acoustic material tagging system for virtual environments. In 2020 IEEE Conference on Games (CoG) (pp. 736-739). IEEE. https://www.researchgate.net/publication/344471209_A_Computer_Vision_Inspired_Automatic_Acoustic_Material_Tagging_System_for_Virtual_Environments

You can also find my articles on my Google Scholar profile.