Search Results for author: JongYoon Lim

Found 7 papers, 1 papers with code

A Sign Language Recognition System with Pepper, Lightweight-Transformer, and LLM

no code implementations28 Sep 2023 JongYoon Lim, Inkyu Sa, Bruce MacDonald, Ho Seok Ahn

This research explores using lightweight deep neural network architectures to enable the humanoid robot Pepper to understand American Sign Language (ASL) and facilitate non-verbal human-robot interaction.

Prompt Engineering Sign Language Recognition

Look how they have grown: Non-destructive Leaf Detection and Size Estimation of Tomato Plants for 3D Growth Monitoring

no code implementations7 Apr 2023 Yuning Xing, Dexter Pham, Henry Williams, David Smith, Ho Seok Ahn, JongYoon Lim, Bruce A. MacDonald, Mahla Nejati

The overall measurement system (leaf detection and size estimation algorithms combine) delivers an RMSE value of 8. 13mm and an R^2 value of 0. 899.

Seeing the Fruit for the Leaves: Towards Automated Apple Fruitlet Thinning

no code implementations20 Feb 2023 Ans Qureshi, Neville Loh, Young Min Kwon, David Smith, Trevor Gee, Oliver Bachelor, Josh McCulloch, Mahla Nejati, JongYoon Lim, Richard Green, Ho Seok Ahn, Bruce MacDonald, Henry Williams

Following a global trend, the lack of reliable access to skilled labour is causing critical issues for the effective management of apple orchards.

Management

Subsentence Extraction from Text Using Coverage-Based Deep Learning Language Models

1 code implementation20 Apr 2021 JongYoon Lim, Inkyu Sa, Ho Seok Ahn, Norina Gasteiger, Sanghyub John Lee, Bruce MacDonald

Drawing inspiration from this, we propose a coverage-based sentiment and subsentence extraction system that estimates a span of input text and recursively feeds this information back to the networks.

Kiwifruit detection in challenging conditions

no code implementations21 Jun 2020 Mahla Nejati, Nicky Penhall, Henry Williams, Jamie Bell, JongYoon Lim, Ho Seok Ahn, Bruce MacDonald

Alone the semantic segmentation approach achieves an F1_score of 0. 82 on the typical lighting image set, but struggles with harsh lighting with an F1_score of 0. 13.

Segmentation Semantic Segmentation

Deep Neural Network Based Real-time Kiwi Fruit Flower Detection in an Orchard Environment

no code implementations8 Jun 2020 JongYoon Lim, Ho Seok Ahn, Mahla Nejati, Jamie Bell, Henry Williams, Bruce A. MacDonald

In this paper, we present a novel approach to kiwi fruit flower detection using Deep Neural Networks (DNNs) to build an accurate, fast, and robust autonomous pollination robot system.

object-detection Object Detection

Cannot find the paper you are looking for? You can Submit a new open access paper.