Junya Morioka

profile image

Junya Morioka

Tokyo, Japan

Ph.D. student in Computer Science (3rd year)

Interest

Education

Work Experience

Publication

Award

Skills

Projects

Small Object Detection using Deep Learning

Various methods for object detection based on deep learning have been proposed, but there is still much room for improvement in the accuracy of small object detection. This research aims to improve the detection accuracy of small objects by examining what processing is important for improving accuracy. Based on the results of this examination, we propose a new method to improve the accuracy of small object detection.
small object detection
3d room reconstruction

3D Room Structure Reconstruction using Monocular Camera

In recent years, with the spread of VR devices and technological improvements, the demand for technology that reflects real space in virtual space has increased. In particular, technology that reflects indoor environments in virtual space is used in various fields such as architecture, interior design, and robotics. To reflect real space in virtual space, it is necessary to estimate the 3D structure of real space, but expensive equipment is required, and there are problems in terms of computational complexity and ease of measurement. Therefore, in this research, we limit the estimation target to indoor environments and propose a 3D structure estimation method using a single image.

6DoF Pose Estimation using Deep Learning Models

This research aims to devise a high-precision 3D object position estimation method. High-precision 3D object position estimation has various challenges such as datasets for training, handling occlusions, and camera calibration. This research aims to achieve everything from dataset creation to practical application of models.
6DoF pose_estimation
qvsbase

Video Streaming Service Development

Developed a video streaming service for iOS/Android. Used Ruby's Sinatra for the server side and AWS for infrastructure. Used Firebase Authentication for authentication. I was responsible for backend API development, Firebase Authentication implementation, iOS app implementation with SwiftUI, and CI/CD construction using Xcode Cloud and GitHub. In particular, I implemented the entire iOS app migration from UIKit to SwiftUI from scratch by myself.

Search System Development using NLP Embedding Models

Developing a search system using embedding models with BERT and Faiss used in natural language processing. Used FastAPI for the server side and both AWS and on-premises for infrastructure. The search target data is 60TB in PDF format, and high-speed search is required for these documents. Creating HuggingFace Datasets, training tokenizers and models, and building custom models.
huggingface
spic

SPIC Inc. Internal System Development

Building internal systems for SPIC Inc., which develops and sells health-related products including Lypo-C, beauty-related products, and original brand products.

Contact

mjun __at__ mjunya.com