Artur A. M. Oliveira

Affiliations:
  • University of São Paulo, Institute of Mathematics and Statistics, Brazil


According to our database1, Artur A. M. Oliveira authored at least 13 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Efficient Video Segmentation with Differential Networks.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

Graph Memory: A Structured and Interpretable Framework for Modality-Agnostic Embedding-Based Inference.
Proceedings of the 21st International Conference on Computer Vision Theory and Applications, 2026

Towards Interpretable Multimodal Embeddings: A QR-Based Prototype Projection Approach.
Proceedings of the 21st International Conference on Computer Graphics, 2026

2025
Knowledge Graphs as Structured Memory for Embedding Spaces: From Training Clusters to Explainable Inference.
CoRR, November, 2025

Creating User-steerable Projections with Interactive Semantic Mapping.
CoRR, June, 2025

Deep learning and data integration for detecting trees entangled with utility lines.
CLEI Electron. J., 2025

Improving Image Classification Tasks Using Fused Embeddings and Multimodal Models.
Proceedings of the 20th International Joint Conference on Computer Vision, 2025

2023
Stability Analysis of Supervised Decision Boundary Maps.
SN Comput. Sci., May, 2023

2022
SDBM: Supervised Decision Boundary Maps for Machine Learning Classifiers.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Locating Urban Trees near Electric Wires using Google Street View Photos: A New Dataset and A Semi-Supervised Learning Approach in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
INACITY - INvestigate and Analyze a CITY.
SoftwareX, 2021

Improving Self-supervised Dimensionality Reduction: Exploring Hyperparameters and Pseudo-Labeling Strategies.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2021

2019
Greenery Segmentation In Urban Images By Deep Learning.
CoRR, 2019


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