A list of research publications in machine learning, focusing on self-supervised learning, computer vision, and remote sensing. For a complete list of citations and h-index metrics, please visit Google Scholar.

2025

Semantically-Aware Contrastive Learning for Multispectral Remote Sensing Images

ISPRS Journal of Photogrammetry and Remote Sensing, May 2025

L. Stival, R. da Silva Torres, H. Pedrini

Introduces a semantically-aware contrastive learning approach that improves representation learning for multispectral satellite data by incorporating domain-specific heuristics.

CVC: Contrastive Autoencoders for Video Colorization

Intelligent Systems and Applications: Proceedings of the 2025 Intelligent Systems Conference (IntelliSys)

L. Stival, R. da Silva Torres, H. Pedrini

Proposes a novel contrastive autoencoder framework to enhance temporal consistency and spectral accuracy in self-supervised video colorization.

2024

CAVC: Cosine Attention Video Colorization

Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP)

L. Stival, R. S. da Torres, H. Pedrini

Investigates the use of shared-weight cosine attention mechanisms for efficient and coherent video colourization.

Enhancing Video Colorization with Deep Learning: Analysis of Loss Functions

Intelligent Systems and Applications (IntelliSys 2024)

L. Stival, R. da Silva Torres, H. Pedrini

A systematic evaluation of different objective functions and their impact on the perceptual quality of deep learning-based video colorization.

Video Colorization Based on a Diffusion Model Implementation

Intelligent Systems and Applications (IntelliSys 2024)

L. Stival, R. da Silva Torres, H. Pedrini

Adapts diffusion-based generative models for the task of video colorization, emphasizing the maintenance of temporal continuity across frames.

2023

SwinFVC: A Swin Flow Video Colorization Example-Based Method

Proceedings of the 22nd IEEE International Conference on Machine Learning and Applications (ICMLA)

L. Stival, R. D. S. Torres, H. Pedrini

Presents an example-based colorization method combining Swin Transformers and optical flow for improved feature matching and color propagation.

Survey on Video Colorization: Concepts, Methods and Applications

Journal of Signal Processing Systems, May 2023

L. Stival, H. Pedrini

A comprehensive review of the evolution of video colorization techniques, categorization of modern methods, and future research directions.

Using machine learning pipeline to predict entry into the attack zone in football

PLOS ONE, January 2023

L. Stival, A. Pinto, et al.

Applies machine learning to spatiotemporal tracking data to predict strategic transitions in professional soccer matches.

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Last updated: January 2026