Výsledky vyhledávání - "Zhang, Taiyu"

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Focus Agent: LLM-Powered Virtual Focus Group

Autor: Zhang, Taiyu, Zhang, Xuesong, Cools, Robbe, Simeone, Adalberto L.

Publikováno v: Taiyu Zhang, Xuesong Zhang, Robbe Cools, and Adalberto Simeone. 2024. Focus Agent: LLM-Powered Virtual Focus Group. In ACM International Conference on Intelligent Virtual Agents (IVA '24), September 16--19, 2024, GLASGOW, United Kingdom

In the domain of Human-Computer Interaction, focus groups represent a widely utilised yet resource-intensive methodology, often demanding the expertise of skilled moderators and meticulous preparatory efforts. This study introduces the ``Focus Agent,

Externí odkaz: http://arxiv.org/abs/2409.01907

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Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study

Autor: Dhar, Mrinal Kanti, Wang, Chuanbo, Patel, Yash, Zhang, Taiyu, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Chen, Keke, Yu, Zeyun

Identifying individual tissues, so-called tissue segmentation, in diabetic foot ulcer (DFU) images is a challenging task and little work has been published, largely due to the limited availability of a clinical image dataset. To address this gap, we

Externí odkaz: http://arxiv.org/abs/2406.16012

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Integrated Image and Location Analysis for Wound Classification: A Deep Learning Approach

Autor: Patel, Yash, Shah, Tirth, Dhar, Mrinal Kanti, Zhang, Taiyu, Niezgoda, Jeffrey, Gopalakrishnan, Sandeep, Yu, Zeyun

The global burden of acute and chronic wounds presents a compelling case for enhancing wound classification methods, a vital step in diagnosing and determining optimal treatments. Recognizing this need, we introduce an innovative multi-modal network

Externí odkaz: http://arxiv.org/abs/2308.11877

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FUSegNet: A Deep Convolutional Neural Network for Foot Ulcer Segmentation

Autor: Dhar, Mrinal Kanti, Zhang, Taiyu, Patel, Yash, Gopalakrishnan, Sandeep, Yu, Zeyun

This paper presents FUSegNet, a new model for foot ulcer segmentation in diabetes patients, which uses the pre-trained EfficientNet-b7 as a backbone to address the issue of limited training samples. A modified spatial and channel squeeze-and-excitati

Externí odkaz: http://arxiv.org/abs/2305.02961

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Constructing unextendible product bases from multiqubit ones

Autor: Zhang, Taiyu, Chen, Lin

The construction of multipartite unextendible product bases (UPBs) is a basic problem in quantum information. We respectively construct two families of $2\times2\times4$ and $2\times2\times2\times4$ UPBs of size eight by using the existing four-qubit

Externí odkaz: http://arxiv.org/abs/2203.08397

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