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Kun Hu
Kun Hu
Dirección de correo verificada de ecu.edu.au
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Citado por
Citado por
Año
Graph weeds net: A graph-based deep learning method for weed recognition
K Hu, G Coleman, S Zeng, Z Wang, M Walsh
Computers and electronics in agriculture 174, 105520, 2020
1182020
Multi-scale features extraction from baseline structure MRI for MCI patient classification and AD early diagnosis
K Hu, Y Wang, K Chen, L Hou, X Zhang
Neurocomputing 175, 132-145, 2016
912016
Graph sequence recurrent neural network for vision-based freezing of gait detection
K Hu, Z Wang, W Wang, KAE Martens, L Wang, T Tan, SJG Lewis, ...
IEEE Transactions on Image Processing 29, 1890-1901, 2019
732019
Vision-based freezing of gait detection with anatomic directed graph representation
K Hu, Z Wang, S Mei, KAE Martens, T Yao, SJG Lewis, DD Feng
IEEE journal of biomedical and health informatics 24 (4), 1215-1225, 2019
712019
Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review
K Hu, Z Wang, G Coleman, A Bender, T Yao, S Zeng, D Song, ...
Precision Agriculture 25 (1), 1-29, 2024
562024
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
W Yue, J Zhang, K Hu, Y Xia, J Luo, Z Wang
AAAI Conference on Artificial Intelligence, 2024
552024
Sign language translation with hierarchical spatio-temporal graph neural network
J Kan, K Hu, M Hagenbuchner, AC Tsoi, M Bennamoun, Z Wang
IEEE/CVF Winter Conference on Applications of Computer Vision, 3367-3376, 2022
442022
Weed detection to weed recognition: reviewing 50 years of research to identify constraints and opportunities for large-scale cropping systems
GRY Coleman, A Bender, K Hu, SM Sharpe, AW Schumann, Z Wang, ...
Weed Technology 36 (6), 741-757, 2022
342022
Graph fusion network-based multimodal learning for freezing of gait detection
K Hu, Z Wang, KAE Martens, M Hagenbuchner, M Bennamoun, AC Tsoi, ...
IEEE Transactions on Neural Networks and Learning Systems 34 (3), 1588-1600, 2021
322021
Keyframe extraction from motion capture sequences with graph based deep reinforcement learning
C Mo, K Hu, S Mei, Z Chen, Z Wang
ACM International Conference on Multimedia, 5194-5202, 2021
212021
Adversarial evolving neural network for longitudinal knee osteoarthritis prediction
K Hu, W Wu, W Li, M Simic, A Zomaya, Z Wang
IEEE Transactions on Medical Imaging 41 (11), 3207-3217, 2022
182022
OTExtSum: Extractive Text Summarisation with Optimal Transport
P Tang, K Hu, R Yan, L Zhang, J Gao, Z Wang
NAACL Findings, 2022
182022
Higher order polynomial transformer for fine-grained freezing of gait detection
R Sun, K Hu, KAE Martens, M Hagenbuchner, AC Tsoi, M Bennamoun, ...
IEEE Transactions on Neural Networks and Learning Systems, 2023
162023
TLDW: Extreme multimodal summarisation of news videos
P Tang, K Hu, L Zhang, J Luo, Z Wang
IEEE Transactions on Circuits and Systems for Video Technology, 2023
152023
Vision-based freezing of gait detection with anatomic patch based representation
K Hu, Z Wang, K Ehgoetz Martens, S Lewis
Asian Conference on Computer Vision, 564-576, 2019
132019
Robust Audio Anti-Spoofing with Fusion-Reconstruction Learning on Multi-Order Spectrograms
P Wen, K Hu, W Yue, Z Sen, W Zhou, Z Wang
INTERSPEECH, 2023
112023
Continuous intermediate token learning with implicit motion manifold for keyframe based motion interpolation
C Mo, K Hu, C Long, Z Wang
IEEE / CVF Conference on Computer Vision and Pattern Recognition, 2023
102023
Multi-level adversarial spatio-temporal learning for footstep pressure based FoG detection
K Hu, S Mei, W Wang, KAE Martens, L Wang, SJG Lewis, DD Feng, ...
IEEE Journal of Biomedical and Health Informatics 27 (8), 4166-4177, 2023
92023
Autoregressive Omni-Aware Outpainting for Open-Vocabulary 360-Degree Image Generation
Z Lu, K Hu, C Wang, L Bai, Z Wang
AAAI Conference on Artificial Intelligence, 2024
82024
Part to whole: Collaborative prompting for surgical instrument segmentation
W Yue, J Zhang, K Hu, Q Wu, Z Ge, Y Xia, J Luo, Z Wang
arXiv preprint arXiv:2312.14481, 2023
82023
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Artículos 1–20