Hugo S. Oliveira

Orcid: 0000-0002-4948-550X

According to our database1, Hugo S. Oliveira authored at least 13 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
A survey on multi-modal and weakly supervised approaches for robust anomaly detection in video data.
Inf. Fusion, 2026

Robust Cell Segmentation in Urine Cytology Images for Bladder Cancer Diagnosis.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

2025
Optimizing crowd evacuation: evaluation of strategies for safety and efficiency.
J. Reliab. Intell. Environ., March, 2025

A Unified Approach to Video Anomaly Detection: Advancements in Feature Extraction, Weak Supervision, and Strategies for Class Imbalance.
IEEE Access, 2025

Optimizing Medical Image Captioning with Conditional Prompt Encoding.
Proceedings of the Pattern Recognition and Image Analysis - 12th Iberian Conference, 2025

2023
Transformers for Energy Forecast.
Sensors, August, 2023

A Hierarchical modified AV1 codec for compression cartesian form of holograms in holo and object planes.
Multim. Tools Appl., March, 2023

Evaluation of Regularization Techniques for Transformers-Based Models.
Proceedings of the Pattern Recognition and Image Analysis - 11th Iberian Conference, 2023

2022
Transformers for Urban Sound Classification - A Comprehensive Performance Evaluation.
Sensors, 2022

Sound Classification and Processing of Urban Environments: A Systematic Literature Review.
Sensors, 2022

2021
Urban Safety: An Image-Processing and Deep-Learning-Based Intelligent Traffic Management and Control System.
Sensors, 2021

Novel Time-Frequency Based Scheme for Detecting Sound Events from Sound Background in Audio Segments.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

2019
Lightweight Deep Learning Pipeline for Detection, Segmentation and Classification of Breast Cancer Anomalies.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019


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