‪Jordan Shipard‬ - ‪Google Acadèmic‬

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Coautors

Arnold WiliemPrincipal Engineer in Deep Learning, Sentient Vision Systems; Adjunct A/Professor QUTCorreu electrònic verificat a uq.edu.au
Clinton FookesQueensland University of TechnologyCorreu electrònic verificat a qut.edu.au
Kien Nguyen ThanhQueensland University of TechnologyCorreu electrònic verificat a qut.edu.au
Wei XiangCisco Chair Professor of AI and Internet of Things, La Trobe UniversityCorreu electrònic verificat a latrobe.edu.au

Jordan Shipard

Jordan Shipard

Queensland University of Technology

Correu electrònic verificat a hdr.qut.edu.au

Artificial Intelligence Deep Learning Computer Vision


Títol Ordena per cites Ordena per any Ordena per títol	Citada per Citada per	Any
Diversity is Definitely Needed: Improving Model-Agnostic Zero-shot Classification via Stable Diffusion J Shipard, A Wiliem, KN Thanh, W Xiang, C Fookes arXiv preprint arXiv:2302.03298, 2023	33*	2023
Does Interference Exist When Training a Once-For-All Network? J Shipard, A Wiliem, C Fookes Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022	1	2022
Zoom-shot: Fast and Efficient Unsupervised Zero-Shot Transfer of CLIP to Vision Encoders with Multimodal Loss J Shipard, A Wiliem, KN Thanh, W Xiang, C Fookes arXiv preprint arXiv:2401.11633, 2024		2024
SafeSea: Synthetic Data Generation for Adverse & Low Probability Maritime Conditions M Tran, J Shipard, H Mulyono, A Wiliem, C Fookes Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024		2024
Supplementary Material for the Paper: Does Interference Exist When Training a Once-For-All Network? J Shipard, A Wiliem, C Fookes

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