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ORCIDXiaohan Yu 0001
Person information
- affiliation: Griffith University, School of Engineering, School of Engineering and Built Environment, Australia
- affiliation: Wuhan University of Technology, Department of computer science and technology, China
Other persons with the same name
- Xiaohan Yu — disambiguation page
- Xiaohan Yu 0002
![[0000-0001-8448-6287]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-8448-6287")
— Zhejiang Gongshang University, School of Information and Electronic Engineering, Department of Computer and Communications, China (and 2 more) - Xiaohan Yu 0003 — Naval Aviation University, NAU, Radar Target Detection Research Group, Yantai, China
- Xiaohan Yu 0004 — Army Engineering University of PLA, College of Command and Control Engineering, Nanjing, China
- Xiaohan Yu 0005 — Peking University, MOE Key Laboratory of Computational Linguistics, Institute of Computer Science and Technology, China
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2020 – today
- 2024
[j19]Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Chen Wang, Jin Zheng, Xin Ning:
Joint discriminative representation learning for end-to-end person search. Pattern Recognit. 147: 110053 (2024)- [j18]Xian Zhong, Xiyu Han, Xuemei Jia, Wenxin Huang, Wenxuan Liu, Shuaipeng Su, Xiaohan Yu, Mang Ye:
ICLR: Instance Credibility-Based Label Refinement for label noisy person re-identification. Pattern Recognit. 148: 110168 (2024) - [i9]Jiawei Zhang, Jiahe Li, Lei Huang, Xiaohan Yu, Lin Gu, Jin Zheng, Xiao Bai:
Robust Synthetic-to-Real Transfer for Stereo Matching. CoRR abs/2403.07705 (2024) - 2023
- [j17]Tao Yu, Xiaohan Yu, WenLi Liu, Shengwu Xiong:
Scale-aware stereo direct visual odometry with online photometric calibration for agricultural environment. Adv. Robotics 37(6): 433-446 (2023) - [j16]Yin Ye, Qiangqiang Huang, Yi Rong, Xiaohan Yu, Weiji Liang, Yaxiong Chen, Shengwu Xiong:
Field detection of small pests through stochastic gradient descent with genetic algorithm. Comput. Electron. Agric. 206: 107694 (2023) - [j15]Xiaohan Yu, Yongsheng Gao, Mohammed Bennamoun, Shengwu Xiong:
A Lie algebra representation for efficient 2D shape classification. Pattern Recognit. 134: 109078 (2023) - [j14]Xiaohan Yu, Jun Wang, Yang Zhao, Yongsheng Gao:
Mix-ViT: Mixing attentive vision transformer for ultra-fine-grained visual categorization. Pattern Recognit. 135: 109131 (2023) - [j13]Jinze Huang, Xiaohan Yu, Dong An, Yaoguang Wei, Xiao Bai, Jin Zheng, Chen Wang, Jun Zhou:
Learning consistent region features for lifelong person re-identification. Pattern Recognit. 144: 109837 (2023) - [j12]Lei Zhou, Yang Liu, Xiao Bai, Na Li, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Attribute subspaces for zero-shot learning. Pattern Recognit. 144: 109869 (2023) - [j11]Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong:
Learning Deep Asymmetric Tolerant Part Representation. IEEE Trans. Artif. Intell. 4(6): 1789-1801 (2023) - [j10]Yang Zhao, Xinlong Wang, Xiaohan Yu, Chunlei Liu, Yongsheng Gao:
Gait-Assisted Video Person Retrieval. IEEE Trans. Circuits Syst. Video Technol. 33(2): 897-908 (2023) - [c22]Pengcheng Zhang, Xiaohan Yu, Xiao Bai, Jin Zheng, Xiaoyu Wu, Yongsheng Gao:
Diving into Continual Ultra-fine-grained Visual Categorization. DICTA 2023: 113-120 - [c21]Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao:
What EXACTLY are We Looking at?: Investigating for Discriminance in Ultra-Fine-Grained Visual Categorization Tasks. DICTA 2023: 129-136 - [c20]Xiaowei Lu, Xiaohan Yu, Kanqi Wang, Ying Wang, Peiyu Wang, Gang Liu, Yang Zhao, Yunhui Xiang, Yongsheng Gao, Xiaoyu Wu:
SupCon-ViT: Supervised contrastive learning for ultra-fine-grained visual categorization. DICTA 2023: 281-288 - [c19]Li Wei, Barton Wixted, Caitlin Day, Xiaohan Yu, Andrew Busch:
A Novel Quality Control System of Sugarcane Billet Using Machine Vision. DICTA 2023: 471-477 - [c18]Xiaohan Yu, Jun Wang, Yongsheng Gao:
CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization. IJCAI 2023: 4531-4539 - [c17]Ugochukwu Ejike Akpudo, Xiaohan Yu, Jun Zhou, Yongsheng Gao:
NCAF: NTD-based Concept Activation Factorisation Framework for CNN Explainability. IVCNZ 2023: 1-6 - [c16]Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao:
SSFE-Net: Self-Supervised Feature Enhancement for Ultra-Fine-Grained Few-Shot Class Incremental Learning. WACV 2023: 6264-6273 - 2022
- [j9]Yang Zhao, Xiaohan Yu, Yongsheng Gao, Chunhua Shen:
Learning discriminative region representation for person retrieval. Pattern Recognit. 121: 108229 (2022) - [j8]Xiaohan Yu, Yang Zhao, Yongsheng Gao:
SPARE: Self-supervised part erasing for ultra-fine-grained visual categorization. Pattern Recognit. 128: 108691 (2022) - [c15]Yang Liu, Lei Zhou, Pengcheng Zhang, Xiao Bai, Lin Gu, Xiaohan Yu, Jun Zhou, Edwin R. Hancock:
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification. ECCV (24) 2022: 57-73 - [c14]Jun Wang, Hefeng Zhou, Xiaohan Yu:
PGTRNET: Two-Phase Weakly Supervised Object Detection with Pseudo Ground Truth Refinement. ICASSP 2022: 2245-2249 - [c13]Yi Liao, Weichuan Zhang, Yongsheng Gao, Changming Sun, Xiaohan Yu:
ASRSNet: Automatic Salient Region Selection Network for Few-Shot Fine-Grained Image Classification. ICPRAI (1) 2022: 627-638 - 2021
- [j7]Yang Zhao, Chunhua Shen, Xiaohan Yu, Hao Chen, Yongsheng Gao, Shengwu Xiong:
Learning deep part-aware embedding for person retrieval. Pattern Recognit. 116: 107938 (2021) - [j6]Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong:
MaskCOV: A random mask covariance network for ultra-fine-grained visual categorization. Pattern Recognit. 119: 108067 (2021) - [c12]Jun Wang, Xiaohan Yu, Yongsheng Gao:
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization. BMVC 2021: 170 - [c11]Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao:
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. DICTA 2021: 1-8 - [c10]Yajie Sun, Miaohua Zhang, Xiaohan Yu, Yi Liao, Yongsheng Gao:
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. DICTA 2021: 1-8 - [c9]Jun Wang, Yang Zhao, Linglong Qian, Xiaohan Yu, Yongsheng Gao:
EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. DICTA 2021: 1-7 - [c8]Xiaohan Yu, Yang Zhao, Yongsheng Gao, Xiaohui Yuan, Shengwu Xiong:
Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance. ICCV 2021: 10265-10275 - [c7]Jun Wang, Xiaohan Yu, Yongsheng Gao:
Mask Guided Attention For Fine-Grained Patchy Image Classification. ICIP 2021: 1044-1048 - [i8]Jun Wang, Xiaohan Yu, Yongsheng Gao:
Mask guided attention for fine-grained patchy image classification. CoRR abs/2102.02771 (2021) - [i7]Jun Wang, Xiaohan Yu, Yongsheng Gao:
EAR-NET: Error Attention Refining Network For Retinal Vessel Segmentation. CoRR abs/2107.01351 (2021) - [i6]Jun Wang, Xiaohan Yu, Yongsheng Gao:
Feature Fusion Vision Transformer for Fine-Grained Visual Categorization. CoRR abs/2107.02341 (2021) - [i5]Jun Wang, Hefeng Zhou, Xiaohan Yu:
PGTRNet: Two-phase Weakly Supervised Object Detection with Pseudo Ground Truth Refining. CoRR abs/2108.11439 (2021) - [i4]Zicheng Pan, Xiaohan Yu, Miaohua Zhang, Yongsheng Gao:
Mask-Guided Feature Extraction and Augmentation for Ultra-Fine-Grained Visual Categorization. CoRR abs/2109.07755 (2021) - [i3]Yajie Sun, Miaohua Zhang, Xiaohan Yu, Yi Liao, Yongsheng Gao:
A Compositional Feature Embedding and Similarity Metric for Ultra-Fine-Grained Visual Categorization. CoRR abs/2109.12380 (2021) - 2020
- [c6]Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan:
Patchy Image Structure Classification Using Multi-Orientation Region Transform. AAAI 2020: 12741-12748
2010 – 2019
- 2019
- [j5]Xiaohan Yu, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan:
Multiscale Contour Steered Region Integral and Its Application for Cultivar Classification. IEEE Access 7: 69087-69100 (2019) - [j4]Yangjing Gan, Yi Rong, Fei Huang, Lun Hu, Xiaohan Yu, Pengfei Duan, Shengwu Xiong, Haiping Liu, Jing Peng, Xiaohui Yuan:
Automatic hierarchy classification in venation networks using directional morphological filtering for hierarchical structure traits extraction. Comput. Biol. Chem. 80: 187-194 (2019) - [c5]Xiaohan Yu, Shengwu Xiong, Yongsheng Gao, Xiaohui Yuan:
Contour Covariance: A Fast Descriptor for Classification. ICIP 2019: 569-573 - [i2]Bin Wang, Yongsheng Gao, Xiaohan Yu, Xiaohui Yuan, Shengwu Xiong, Xianzhong Feng:
From Species to Cultivar: Soybean Cultivar Recognition using Multiscale Sliding Chord Matching of Leaf Images. CoRR abs/1910.04919 (2019) - [i1]Xiaohan Yu, Yang Zhao, Yongsheng Gao, Shengwu Xiong, Xiaohui Yuan:
Patchy Image Structure Classification Using Multi-Orientation Region Transform. CoRR abs/1912.00622 (2019) - 2017
- [c4]Ying He, Xiaohan Yu, Yangjing Gan, Tujin Zhu, Shengwu Xiong, Jing Peng, Lun Hu, Guang Xu, Xiaohui Yuan:
Bar charts detection and analysis in biomedical literature of PubMed Central. AMIA 2017 - 2016
- [j3]Xiaohan Yu, Shengwu Xiong, Ying He, W. Eric Wong, Yang Zhao:
Research on campus traffic congestion detection using BP neural network and Markov model. J. Inf. Secur. Appl. 31: 54-60 (2016) - [c3]Xiaohan Yu, Shengwu Xiong, Yongsheng Gao, Yang Zhao, Xiaohui Yuan:
Multiscale Crossing Representation Using Combined Feature of Contour and Venation for Leaf Image Identification. DICTA 2016: 1-6 - 2015
- [j2]Zhong Chen, Shengwu Xiong, Qingzhou Mao, Zhixiang Fang, Xiaohan Yu:
An Improved Saliency Detection Approach for Flying Apsaras in the Dunhuang Grotto Murals, China. Adv. Multim. 2015: 625915:1-625915:11 (2015) - [j1]Xinyi Shi, Jing Peng, Xiaohan Yu, Xiaohong Zhang, Dongye Li, Baohui Liu, Fanjiang Kong, Xiaohui Yuan:
PopGeV: a web-based large-scale population genome browser. Bioinform. 31(18): 3048-3050 (2015) - [c2]Xiaohan Yu, Shengwu Xiong, Yongsheng Gao:
Leaf image retrieval using combined feature of vein and contour. IVCNZ 2015: 1-6 - 2014
- [c1]Mianfang Liu, Shengwu Xiong, Xiaohan Yu, Pengfeng Duan, Jun Wang:
Behavior characteristics of mixed traffic flow on campus. CIVTS 2014: 140-147
Coauthor Index
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last updated on 2024-05-08 03:58 CEST by the dblp team
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