Publications
Quantitative Imaging
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Publications of year 2024
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D. Acharya,
M. Farazi,
V. Rolland,
L. Petersson,
U. Rosebrock,
D. Smith,
J. Ford,
D. Wang,
G. Tuck,
R. Little,
and C. Wilcox.
Towards automatic anomaly detection in fisheries using electronic monitoring and automatic identification system.
Fisheries Research,
272(106939),
April 2024.
[DOI] [bibtex-entry]
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Q. Jin,
H. Cui,
C. Sun,
Y. Song,
J. Zheng,
L. Cao,
L. Wei,
and R. Su.
Inter- and intra-uncertainty based feature aggregation model for semi-supervised histopathology image segmentation.
Expert Systems with Applications,
238(D):122093,
March 2024.
[DOI] [bibtex-entry]
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X. Li,
T. Zhang,
Z. Liu,
B. Liu,
S. u. Rehman,
B. Rehman,
and C. Sun.
Saliency Guided Siamese Attention Network for Infrared Ship Target Tracking.
IEEE Transactions on Intelligent Vehicles,
2024.
[DOI] [bibtex-entry]
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Z. Liu,
X. Li,
T. Zhang,
X. Zhang,
C. Sun,
S. u. Rehman,
and J. Ahmad.
A Two-branch Edge Guided Lightweight Network for Infrared Image Saliency Detection.
Computers and Electrical Engineering,
118(A):109296,
August 2024.
[DOI] [bibtex-entry]
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J. Ren,
C. Li,
Y. An,
W. Zhang,
and C. Sun.
Few-Shot Fine-Grained Image Classification: A Comprehensive Review.
AI,
5(1):405--425,
6 March 2024.
[DOI] [bibtex-entry]
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J. Song,
A. Sowmya,
and C. Sun.
Efficient Hybrid Feature Interaction Network for Stereo Image Super-Resolution.
IEEE Transactions on Multimedia,
2024.
[DOI] [bibtex-entry]
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R. Su,
J. Han,
C. Sun,
D. Zhang,
J. Geng,
P. Wang,
and X. Zeng.
Prediction of anti-cancer drug synergy based on cross-matching network and cancer molecular subtypes.
Computers in Biology and Medicine,
175:108441,
June 2024.
[DOI] [bibtex-entry]
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R. Wu,
M. Wang,
Z. Li,
J. Zhou,
F. Chen,
X. Wang,
and C. Sun.
Few-shot Stereo Matching with High Domain Adaptability Based on Adaptive Recursive Network.
International Journal of Computer Vision,
132(5):1484--1501,
May 2024.
[DOI] [bibtex-entry]
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W. Zhang,
Y. Zhao,
Y. Gao,
and C. Sun.
Re-abstraction and Perturbing Support Pair Network for Few-Shot Fine-Grained Image Classification.
Pattern Recognition,
148:110158,
April 2024.
[DOI] [bibtex-entry]
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Q. Jin,
J. Huang,
C. Sun,
H. Cui,
P. Xuan,
R. Su,
L. Wei,
Y.-J. Wu,
C.-A. Wu,
B.-L. Duh,
and Y.-H. Lu.
Location embedding based pairwise distance learning for fine-grained diagnosis of urinary stones.
In International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI),
Marrakesh, Morocco,
6-10 October 2024.
[bibtex-entry]
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