no code implementations • 28 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.
no code implementations • 12 Apr 2023 • Andy Kweon, Vishnu Hu, Jong Yoon Lim, Trevor Gee, Edmond Liu, Henry Williams, Bruce A. MacDonald, Mahla Nejati, Inkyu Sa, Ho Seok Ahn
As technology progresses, smart automated systems will serve an increasingly important role in the agricultural industry.
no code implementations • 7 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.
no code implementations • 20 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.
no code implementations • 17 Mar 2022 • Inkyu Sa, JongYoon Lim, Ho Seok Ahn, Bruce MacDonald
The total number of bounding box instances of the dataset is 162k and it is ready to use from cloud service.
1 code implementation • 20 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.
no code implementations • 21 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.
no code implementations • 8 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.