24 citations · 32 across the 4 of their papers we have counts for
5 papers
TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video
Mario Alberto Duran-Vega, Miguel Gonzalez-Mendoza, Leonardo Chang +1
Timely handgun detection is a crucial problem to improve public safety; nevertheless, the effectiveness of many surveillance systems still depends of finite human attention. Much o…
Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion
Juan Carlos Angeles-Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang +1
Precise instrument segmentation aid surgeons to navigate the body more easily and increase patient safety. While accurate tracking of surgical instruments in real-time plays a cruc…
Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures
Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz +1
Image-based tracking of laparoscopic instruments plays a fundamental role in computer and robotic-assisted surgeries by aiding surgeons and increasing patient safety. Computer visi…
A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks
Cuauhtemoc Daniel Suarez-Ramirez, Miguel Gonzalez-Mendoza, Leonardo Chang-Fernandez +2
The optimization of Binary Neural Networks (BNNs) relies on approximating the real-valued weights with their binarized representations. Current techniques for weight-updating use t…
Fingerprint Presentation Attack Detection Based on Local Features Encoding for Unknown Attacks
Lázaro J. González-Soler, Marta Gomez-Barrero, Leonardo Chang +2
Fingerprint-based biometric systems have experienced a large development in the last years. Despite their many advantages, they are still vulnerable to presentation attacks (PAs).…