Search Results for author: Leonardo Chang

Found 4 papers, 1 papers with code

TYolov5: A Temporal Yolov5 Detector Based on Quasi-Recurrent Neural Networks for Real-Time Handgun Detection in Video

1 code implementation17 Nov 2021 Mario Alberto Duran-Vega, Miguel Gonzalez-Mendoza, Leonardo Chang, Cuauhtemoc Daniel Suarez-Ramirez

Much of the previous research on handgun detection is based on static image detectors, leaving aside valuable temporal information that could be used to improve object detection in videos.

Image Augmentation object-detection +1

Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion

no code implementations9 Nov 2021 Juan Carlos Angeles-Ceron, Gilberto Ochoa-Ruiz, Leonardo Chang, Sharib Ali

While accurate tracking of surgical instruments in real-time plays a crucial role in minimally invasive computer-assisted surgeries, it is a challenging task to achieve, mainly due to 1) complex surgical environment, and 2) model design with both optimal accuracy and speed.

Data Augmentation Navigate +3

Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures

no code implementations30 Mar 2021 Juan Carlos Angeles Ceron, Leonardo Chang, Gilberto Ochoa-Ruiz, Sharib Ali

Image-based tracking of laparoscopic instruments plays a fundamental role in computer and robotic-assisted surgeries by aiding surgeons and increasing patient safety.

Real-time Instance Segmentation Segmentation +1

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