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Jesus Bermudez-Cameo

3 accepted papers

2026

Multimodal Knowledge Distillation for Egocentric Action Recognition Robust to Missing Modalities

ICRA 2026poster

Egocentric action recognition enables robots to facilitate human-robot interactions and monitor task progress. Existing methods often rely solely on RGB videos, although additional modalities, such as audio, can improve accuracy under challenging conditions. However, most multimodal approaches assum…

2025

O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views

ICCV 2025poster

Understanding the world from multiple perspectives is essential for intelligent systems operating together, where segmenting common objects across different views remains an open problem. We introduce a new approach that re-defines cross-image segmentation by treating it as a mask matching task. Our…

2023

FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions from Single Panoramas

ICRA 2023poster

In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. Omnidirectional images reveal task-specific advantages when addressing scene understanding problems due to the 360-degree contextual information about the…

Cited by 21SourcecodeScholar