Search Results - "Proceedings - Brazilian Symposium on Computer Graphics and Image Processing"

BoWFire: Detection of Fire in Still Images by Integrating Pixel Color and Texture Analysis by Chino, Daniel Y. T., Avalhais, Letricia P. S., Rodrigues, Jose F., Traina, Agma J. M.

“…Emergency events involving fire are potentially harmful, demanding a fast and precise decision making. The use of crowd sourcing image and videos on crisis…”
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From explanations to feature selection: assessing SHAP values as feature selection mechanism by Marcilio, Wilson E., Eler, Danilo M.

“…Explainability has become one of the most discussed topics in machine learning research in recent years, and although a lot of methodologies that try to…”
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Enhancing Brazilian Sign Language Recognition Through Skeleton Image Representation by Alves, Carlos Eduardo G. R., De A. Boldt, Francisco, Paixao, Thiago M.

“…Effective communication is paramount for the inclusion of deaf individuals in society. However, persistent communication barriers due to limited Sign Language…”
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Deep Learning-Aided Parkinson's Disease Diagnosis from Handwritten Dynamics by Pereira, Clayton R., Weber, Silke A. T., Hook, Christian, Rosa, Gustavo H., Papa, Joao P.

“…Parkinson's Disease (PD) automatic identification in early stages is one of the most challenging medicine-related tasks to date, since a patient may have a…”
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Skeleton Image Representation for 3D Action Recognition Based on Tree Structure and Reference Joints by Caetano, Carlos, Bremond, Francois, Schwartz, William Robson

“…In the last years, the computer vision research community has studied on how to model temporal dynamics in videos to employ 3D human action recognition. To…”
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Graph Convolutional Networks Based on Aggregated Multilevel kNN Graph for Image Classification by Leticio, Gustavo Rosseto, Kawai, Vinicius Atsushi Sato, Valem, Lucas Pascotti, Pedronette, Daniel Carlos Guimaraes

“…Graph Convolutional Networks (GCNs) rely heavily on the quality of the input graph, which is often defined by a fixed neighborhood size. This work explores two…”
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RuleText-AD: Logical Anomaly Detection via Textual Rule Engines Generated by MLLMs by da Silva, Leandro Souza, Schiezaro, Mauricio, Oliveira, Diulhio

“…Visual anomaly detection is an important tool in industrial quality control that may impact production efficiency and product quality. Traditional supervised…”
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Exploring Urban Factors with Autoencoders: Relationship Between Static and Dynamic Features by Pocco, Ximena, Hassan, Waqar, Salinas, Karelia, Molchanov, Vladimir, Nonato, Luis G.

“…Urban analytics utilizes extensive datasets with diverse urban information to simulate, predict trends, and uncover complex patterns within cities. While these…”
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Memory-Augmented Long Short-Term Memory for Dynamic Video Summarization by Cardoso, Leonardo Vilela, Soraggi, Barbara H. P., Guimaraes, Silvio Jamil F., Patrocinio, Zenilton K. G.

“…Capturing relevant content from videos while preserving temporal coherence remains a central challenge in video skimming. The prevalence of redundant…”
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Interactive Exploration and Explanation of Spatio-Temporal Anomalies with Graph-LLM Integration by Heredia, Juanpablo, Estrada-Rayme, Leighton, Matos-Cangalaya, Jeremy, Poco, Jorge

“…Understanding spatiotemporal anomalies is critical in domains such as urban safety, mobility, and environmental monitoring. These scenarios involve complex…”
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Quo Vadis Pathology? Advancing Glomerular Lesion Classification with Foundation Models by Lima, David, Oliveira, Grinaldo, Duarte, Angelo, Santos, Washington, Oliveira, Luciano

“…Computational pathology is undergoing a significant transformation with the emergence of foundation models (FMs). These models leverage self-supervised…”
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Uncertainty-Aware Chemical Analyses via Monte Carlo Deep Model Inference by Bernardo, Leandro Pereira, Pereira, Andre Luiz da S., Dias, David Neves, Vieira, Helida, Malbar, Renato, de Azevedo Novaes, Aline Machado, de Faria, Rafaella Magliano Balbi, de Carvalho, Rogerio Mesquita, Goncalves, Maria Luisa Aleixo, Mehl, Ana, Fernandes, Leandro A. F.

“…We present a computer vision-based solution for estimating Chloride concentration and pH in water samples. The proposed chemical methodology produces samples…”
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Mobile Solution for Alkalinity Estimation from Colorimetric Analysis via CNNs by da S. Pereira, Andre Luiz, Silva, Gustavo L., Bernardo, Leandro P., Mendonca, Luca M., Lopes, Paulo H. B., dos S. Evangelista, Raphael, dos S. Silva, Caroline, Vieira, Helida, Dias, Mariana, Recker, Renata, Malbar, Renato, Teixeira, Bruna N., Correia, Thiago G., de Azevedo Novaes, Aline Machado, de Faria, Rafaella Magliano Balbi, de Carvalho, Rogerio Mesquita, Leitao, Helena C. G., Thire, Rossana Mara S. M., Goncalves, Maria Luisa A., Mehl, Ana, Teixeira, Marco Antonio Gomes, Fernandes, Leandro A. F.

“…We present a computer vision-based solution for estimating alkalinity from images of water samples. Applications include verification of product conformity,…”
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A Deep Metric Learning Approach for Content Based Image Retrieval in Rock Tomography: A Triplet Loss Study by Silva, Anderson, Farias, Marcos, Souza, Joao, Pinto, Daniel, Belfort, Filipe, Freitas, Mario, Araujo, Alexandre, Pessoa, Alexandre, Silva, Aristofanes, Rodrigues, Andrey, Albuquerque, Marcelo

“…The automatic analysis of images in rock tomography datasets still is an unexplored task despite its high relevance in geological studies and characterization…”
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A Study of Synthetic and Cross-Domain Real-Data Pre-Training for Aerial Farm Monitoring by Ferreira, Juliana, Silva, Lucas, Gomes, Antonio, Rodrigues, Larissa, Gomes, Thiago, Silva, Michel

“…The use of Unmanned Aerial Vehicles (UAVs) for monitoring farms has increased in recent years. Consequently, it is essential to enhance Artificial Intelligence…”
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PSHDR: HDR Image Reconstruction from a Single-Exposure LDR Using Residual Features by Carvalho, Lucas Hildelbrano Costa, Leher, Quefren, Lopez-Cabrejos, Josue, Ferreti, Gustavo, Alvarez, Ana Beatriz, Paixao, Thuanne, Junior, Olacir Rodrigues Castro

“…Recent advances in deep learning techniques have led to the development of new approaches for reconstructing high dynamic range (HDR) images from a single low…”
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A Novel Method for Detecting 3D Steel Structures in As-Built Point Clouds by de Souza, Rogerio Pinheiro, Hurtado, Jan, Sierra-Franco, Cesar A., Oliveira, Romeu, Raposo, Alberto

“…Building Information Modeling (BIM) integrates engineering data with 3D geometry, spatial relationships, and other properties to support construction projects…”
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A Parameter Estimation-Inspired Convolutional Block for SAR Data by Goldberg, Cassandra, Neto, Jeova Farias Sales Rocha

“…Convolutional neural networks (CNNs) have been widely used in the context of SAR imagery analysis. However, most of the architectural choices involved in…”
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A U-Net-Based Approach for Histological Tissue Segmentation Using RCAug Data Augmentation by de Oliveira, Domingos L. L., Tosta, Thaina A. A., Neves, Leandro A., Silva, Adriano B., Martins, Alessandro S., de Fariall, Paulo R., do Nascimento, Marcelo Z.

“…Histopathological analysis of tissue samples remains the gold standard for cancer diagnosis; however, the process is time-consuming and subject to inter- and…”
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Adapting Synthetic Eyes: A Study of Pixel and Feature-Level UDA for Traffic Object Detection by Medeiros, Andre N., Silva, Renato M., Almeida, Jurandy, Almeida, Tiago A.

“…Training robust object detectors for autonomous driving requires vast amounts of annotated data, making the use of synthetic datasets an attractive…”
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