Publication

Journal

  1. Mintsu M. Hung, Renam Castro da Silva, Andrey O. O. dos Reis, Darlington Akogo. Image Downsizing and Compression Impacts on AI-based Medical Image Classification. Journal of Communication and Information Systems, January 2026. ISSN: 1980-6604, DOI: 10.14209/jcis.2026.2, [link]

  2. Renam Silva, Ulisses S. Guimarães, Diogo C. Garcia, Hélcio Vieira Jr., Edson M. Hung. Deep-learning deforestation detection in the Legal Amazon area based on Sentinel-1 data. Remote Sensing Applications: Society and Environment, October 2025. Volume 40, ISSN: 2352-9385, DOI: 10.1016/j.rsase.2025.101747, [link]

  3. Nilson D.Guerin Jr., Renam Castro da Silva, Bruno Macchiavello. Learning-Based Image Compression with Parameter Adaptive Rate-Constrained Loss. IEEE Signal Processing Letters, April 2025. [link]

  4. Nilson D.Guerin Jr., Renam Castro da Silva, Matheus C. de Oliveira, Henrique C. Jung, Luiz Gustavo R. Martins, Eduardo Peixoto, Bruno Macchiavello, Edson M. Hung, Vanessa Testoni, Pedro Garcia Freitas. Rate-constrained learning-based image compression. Signal Processing: Image Communication, November 2021. [link]

  5. Renam C. da Silva, Fernando Pereira, Eduardo A. B. da Silva. Towards Visualization and Searching: a Dual-Purpose Video Coding Framework. IEEE Access, vol. 8, no 1, January 2020. [link]

Conference

  1. Matheus C. de Oliveira, Luiz G. R. Martins, Henrique Costa Jung, Nilson Donizete Guerin Jr, Renam Castro da Silva, Eduardo Peixoto, Bruno Macchiavello, Edson M. Hung, Vanessa Testoni, and Pedro Garcia Freitas. Learning-based End-to-End Video CompressionUsing Predictive Coding. Conference on Graphics, Patterns and Images (SIBGRAPI), accepted, 2021 (To appear)

  2. Henrique C. Jung, Nilson D. Guerin Jr. , Raphael S. Ramos, Bruno Macchiavello, Eduardo Peixoto, Edson M. Hung, Teofilo de Campos, Renam C. da Silva, Vanessa Testoni, Pedro G. Freitas. Multi-mode Intra Prediction for Learning-based Image Compression. International Conference on Image Processing (ICIP), accepted, 2020. [draft] [link]

  3. Renam C. da Silva, Nilson D. Guerin, Pedro Sanches, Henrique C. Jung, Eduardo Peixoto, Bruno Macchiavello, Edson M. Hung, Vanessa Testoni, Pedro G. Freitas. Joint Motion and Residual Information Latent Representation for P-frame coding. Computer Vision and Pattern Recognition (CVPR) Workshops, Online, June 2020. [draft][link]

  4. Renam C. da Silva, Vanessa Testoni. Distortion Scalable Learned Image Compression. International Workshop on Multimedia Signal Processing (MMSP), Kuala Lumpur, Malaysia, September 2019. [draft][link]

  5. Renam C. da Silva, Fernando Pereira, Eduardo A. B. da Silva. Feature-based Video Coding: Designing an RD Efficient and Search Friendly Framework. Picture Coding Symposium (PCS), Nuremberg, Germany, December 2016. [draft][link]

  6. Renam C. da Silva, Fernando Pereira, Eduardo A. B. da Silva. Studying the Compression Performance of Video Descriptors.
    Simpósio Brasileiro de Telecomunicações (SBrT), Juiz de Fora, Brasil, September 2015. Best paper award. [draft][link]

  7. Renam C. da Silva, Luı́s F. R. Lucas, Eduardo A. B. da Silva, Carla L. Pagliari, Nuno M. M. Rodrigues, Sérgio M. M. Faria. Compressão de Mapas de Profundidade usando Predição e Aproximações Polinomiais. Simpósio Brasileiro de Telecomunicações (SBrT), Juiz de Fora, Brasil, September 2013. [draft][link]

  8. Detecção de Falhas em Cabos e Análise de Qualidade de Conexão em Circuitos de Comunicação. Congresso Brasileiro de Automática (CBA), Bonito, Brasil, September 2010.

Thesis

Towards Visualization and Searching: A Dual-purpose Video Coding Approach. In english [thesis]

Dissertation

Compressão de Imagens Usando Predição e Aproximações Polinomiais. In portuguese [dissertation]

Patents

  1. User-adaptive multisource retrieval augmented generation - (Filed November/2025)

  2. Lightweight distributed causal fine-tuning for large language models - (Filed August/2025)

  3. An Active On-device Learning Approach for Extreme Resource-constrained Devices

  4. Text Chunking using Context Disruption - (Filed February/2025)

  5. An Entropy-based Drift-aware Federated Learning Solution Robust Against Environment with Heterogeneous Data - (Filed Jul/2024)

  6. Lossless and Lossy Large Language Model-based Text Compression via Arithmetic Encoding - (Filed Dez/2023) [link]

  7. Entropy-based Online Learning with Active Sparse Layer Update for On-device Training with Resource-constrained Devices - (Filed Nov/2023) [link]

  8. Method for Training a Single Non-Symmetric Decoder for Learning-based Codecs (Filed 2021) [link]

  9. Method for Compressing Light-field Data (Filed in 2021 - Granted in 2022). [link]