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Shiqi Huang
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2020 – today
- 2024
- [j11]Shiqi Huang, Jianan Li, Ning Shen, Tingfa Xu:
Meta-tubular-net: A robust topology-aware re-weighting network for retinal vessel segmentation. Biomed. Signal Process. Control. 91: 106060 (2024) - [j10]Lili Pan, Weizhi Shao, Siyu Xiong, Qianhui Lei, Shiqi Huang, Eric Beckman, Qinghua Hu:
SSER: Semi-Supervised Emotion Recognition based on Triplet Loss and pseudo label. Knowl. Based Syst. 292: 111595 (2024) - [c6]Shiqi Huang, Tingfa Xu, Ziyi Shen, Shaheer Ullah Saeed, Wen Yan, Dean C. Barratt, Yipeng Hu:
One Registration is Worth Two Segmentations. MICCAI (12) 2024: 665-675 - [i4]Shiqi Huang, Tingfa Xu, Ziyi Shen, Shaheer Ullah Saeed, Wen Yan, Dean C. Barratt, Yipeng Hu:
One registration is worth two segmentations. CoRR abs/2405.10879 (2024) - [i3]Shaheer U. Saeed, Shiqi Huang, João Ramalhinho, Iani J. M. B. Gayo, Nina Montaña Brown, Ester Bonmati, Stephen P. Pereira, Brian R. Davidson, Dean C. Barratt, Matthew J. Clarkson, Yipeng Hu:
Competing for pixels: a self-play algorithm for weakly-supervised segmentation. CoRR abs/2405.16628 (2024) - 2023
- [j9]Shiqi Huang, Ouya Zhang, Qilong Chen:
Ship Target Detection Method in Synthetic Aperture Radar Images Based on Block Thumbnail Particle Swarm Optimization Clustering. Remote. Sens. 15(20): 4972 (2023) - [j8]Ning Shen, Tingfa Xu, Shiqi Huang, Feng Mu, Jianan Li:
Expert-Guided Knowledge Distillation for Semi-Supervised Vessel Segmentation. IEEE J. Biomed. Health Informatics 27(11): 5542-5553 (2023) - [j7]Ning Shen, Tingfa Xu, Ziyang Bian, Shiqi Huang, Feng Mu, Bo Huang, Yuze Xiao, Jianan Li:
SCANet: A Unified Semi-Supervised Learning Framework for Vessel Segmentation. IEEE Trans. Medical Imaging 42(9): 2476-2489 (2023) - [c5]Shiqi Huang, Tingfa Xu, Ning Shen, Feng Mu, Jianan Li:
Rethinking Few-Shot Medical Segmentation: A Vector Quantization View. CVPR 2023: 3072-3081 - [i2]Yuheng Fan, Hanxi Liao, Shiqi Huang, Yimin Luo, Huazhu Fu, Haikun Qi:
A Survey of Emerging Applications of Diffusion Probabilistic Models in MRI. CoRR abs/2311.11383 (2023) - 2022
- [j6]Shiqi Huang, Jie Xu, Zhigang Liu, Ke Sun, Ying Lu:
Image haze removal based on rolling deep learning and Retinex theory. IET Image Process. 16(2): 485-498 (2022) - [j5]Feng Mu, Jianan Li, Ning Shen, Shiqi Huang, Yongzhuo Pan, Tingfa Xu:
Pixel-Adaptive Field-of-View for Remote Sensing Image Segmentation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j4]Shiqi Huang, Jianan Li, Yuze Xiao, Ning Shen, Tingfa Xu:
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-Lesion Segmentation. IEEE Trans. Medical Imaging 41(6): 1596-1607 (2022) - [i1]Shiqi Huang, Jianan Li, Yuze Xiao, Ning Shen, Tingfa Xu:
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation. CoRR abs/2201.11037 (2022) - 2021
- [c4]Zhangru Lin, Shiqi Huang, Lei Cheng:
Summary of Change Detection of High-resolution Remote Sensing Image Based on Random Forest. ICCAIS 2021: 685-689 - [c3]Shiqi Huang, Jie Xu, Zhangru Lin:
Fast Hyperspectral Image Classification Method Combining PCA and LDA. ICCAIS 2021: 700-704 - 2020
- [j3]Shiqi Huang, Yang Liu, Yiting Wang, Zuliang Wang, Jinku Guo:
A New Haze Removal Algorithm for Single Urban Remote Sensing Image. IEEE Access 8: 100870-100889 (2020)
2010 – 2019
- 2019
- [j2]Shiqi Huang, Dan Li, Weiwei Zhao, Yang Liu:
Haze Removal Algorithm for Optical Remote Sensing Image Based on Multi-Scale Model and Histogram Characteristic. IEEE Access 7: 104179-104196 (2019) - 2018
- [c2]Shiqi Huang, Xiangyang Duan, Wensheng Wu:
Measurement and Application of Hyperspectral Characteristics of Boiled Egg Yolk. ICBET 2018: 27-30 - 2015
- [c1]Yiting Wang, Shiqi Huang, Hongxia Wang, Daizhi Liu, Zhigang Liu:
Dimensionality Reduction for Hyperspectral Image Based on Manifold Learning. ICIG (2) 2015: 164-172 - 2011
- [j1]Shiqi Huang, Xinhua Cai, Shunxiang Chen, Daizhi Liu:
Change detection method based on fractal model and wavelet transform for multitemporal SAR images. Int. J. Appl. Earth Obs. Geoinformation 13(6): 863-872 (2011)
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last updated on 2024-10-31 20:15 CET by the dblp team
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