20 citations · 28 across the 4 of their papers we have counts for
4 papers
CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
Alexandre Lopes, Roberto Souza, Helio Pedrini
Depth Estimation plays a crucial role in recent applications in robotics, autonomous vehicles, and augmented reality. These scenarios commonly operate under constraints imposed by…
Computer Vision Model Compression Techniques for Embedded Systems: A Survey
Alexandre Lopes, Fernando Pereira dos Santos, Diulhio de Oliveira +2
Deep neural networks have consistently represented the state of the art in most computer vision problems. In these scenarios, larger and more complex models have demonstrated super…
Global Semantic Descriptors for Zero-Shot Action Recognition
Valter Estevam, Rayson Laroca, Helio Pedrini +1
The success of Zero-shot Action Recognition (ZSAR) methods is intrinsically related to the nature of semantic side information used to transfer knowledge, although this aspect has…
Lite Training Strategies for Portuguese-English and English-Portuguese Translation
Alexandre Lopes, Rodrigo Nogueira, Roberto Lotufo +1
Despite the widespread adoption of deep learning for machine translation, it is still expensive to develop high-quality translation models. In this work, we investigate the use of…