1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.CV2023
DiffuGen: Adaptable Approach for Generating Labeled Image Datasets using Stable Diffusion Models
Michael Shenoda, Edward Kim
Generating high-quality labeled image datasets is crucial for training accurate and robust machine learning models in the field of computer vision. However, the process of manually…
cs.CV2023★ 1 cited
Real-time Object Detection: YOLOv1 Re-Implementation in PyTorch
Michael Shenoda
Real-time object detection is a crucial problem to solve when in comes to computer vision systems that needs to make appropriate decision based on detection in a timely manner. I h…
cs.CV2023★ 1 cited
Lighting and Rotation Invariant Real-time Vehicle Wheel Detector based on YOLOv5
Michael Shenoda
Creating an object detector, in computer vision, has some common challenges when initially developed based on Convolutional Neural Network (CNN) architecture. These challenges are…