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2020 – today
- 2024
[j132]Xuechen Zhang, Isaac Cheng
, Yingzhao Jin, Jiandong Shi, Chenrui Li, Jing-Hao Xue, Lai-Shan Tam, Weichuan Yu:
DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images. Comput. Biol. Medicine 175: 108533 (2024)- [j131]Weihao Xia, Jing-Hao Xue:
A Survey on Deep Generative 3D-aware Image Synthesis. ACM Comput. Surv. 56(4): 90:1-90:34 (2024) - [j130]Pengyang Zhao, Yizhuo Song, Siqi Wang, Jing-Hao Xue, Shuping Zhao, Qingmin Liao, Wenming Yang:
VPCFormer: A transformer-based multi-view finger vein recognition model and a new benchmark. Pattern Recognit. 148: 110170 (2024) - [j129]Wenxiao Wu, Yuanjie Shao, Changxin Gao, Jing-Hao Xue, Nong Sang:
Query-centric distance modulator for few-shot classification. Pattern Recognit. 151: 110380 (2024) - [j128]Xiaoxu Li, Zhen Li, Jiyang Xie, Xiaochen Yang, Jing-Hao Xue, Zhanyu Ma:
Self-reconstruction network for fine-grained few-shot classification. Pattern Recognit. 153: 110485 (2024) - [j127]Xiaoxu Li, Zijie Guo, Rui Zhu, Zhanyu Ma, Jun Guo, Jing-Hao Xue:
A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification. Pattern Recognit. 156: 110736 (2024) - [j126]Shumin An, Qingmin Liao, Zongqing Lu, Jing-Hao Xue:
Dual Correlation Network for Efficient Video Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1572-1585 (2024) - [j125]Fenghong Yang, Runqing Jiang, Yan Yan, Jing-Hao Xue, Biao Wang, Hanzi Wang:
Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection. IEEE Trans. Inf. Forensics Secur. 19: 3510-3524 (2024) - [j124]Yuanling Lv, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition. IEEE Trans. Image Process. 33: 2293-2304 (2024) - [j123]Woomin Myung, Nan Su, Jing-Hao Xue, Guijin Wang:
DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition. IEEE Trans. Image Process. 33: 2477-2490 (2024) - [j122]Juncheng Zhang, Qingmin Liao, Haoyu Ma, Jing-Hao Xue, Wenming Yang, Shaojun Liu:
Exploit the Best of Both End-to-End and Map-Based Methods for Multi-Focus Image Fusion. IEEE Trans. Multim. 26: 6411-6423 (2024) - [j121]Yuanling Lv, Guangyu Huang, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition. IEEE Trans. Multim. 26: 8038-8051 (2024) - [j120]Runqing Jiang, Yan Yan, Jing-Hao Xue, Biao Wang, Hanzi Wang:
When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2208-2222 (2024) - [j119]Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue:
Toward Certified Robustness of Distance Metric Learning. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3834-3844 (2024) - [j118]Yurong Ling, Zijing Liu, Jing-Hao Xue:
Survival Analysis of High-Dimensional Data With Graph Convolutional Networks and Geometric Graphs. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4876-4886 (2024) - [c47]Liuxiang Qiu, Si Chen, Yan Yan, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu:
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification. AAAI 2024: 4596-4604 - [c46]Ziqiang Zhang, Yan Yan, Jing-Hao Xue, Hanzi Wang:
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion. AAAI 2024: 7432-7440 - [c45]Weihao Xia, Raoul de Charette, A. Cengiz Öztireli, Jing-Hao Xue:
UMBRAE: Unified Multimodal Brain Decoding. ECCV (7) 2024: 242-259 - [c44]Shiyue Yan, Xiaoshi Qiu, Qingmin Liao, Jing-Hao Xue, Shaojun Liu:
Reschedule Diffusion-based Bokeh Rendering. IJCAI 2024: 1543-1551 - [c43]Hai Wang, Xiaoyu Xiang, Yuchen Fan, Jing-Hao Xue:
Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models. WACV 2024: 4921-4931 - [c42]Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue:
DREAM: Visual Decoding from REversing HumAn Visual SysteM. WACV 2024: 8211-8220 - [i45]Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue:
UMBRAE: Unified Multimodal Decoding of Brain Signals. CoRR abs/2404.07202 (2024) - [i44]Zongkai Zhang, Zidong Xu, Wenming Yang, Qingmin Liao, Jing-Hao Xue:
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network. CoRR abs/2405.17037 (2024) - [i43]Xiaoke Wang, Xiaochen Yang, Rui Zhu, Jing-Hao Xue:
PUAL: A Classifier on Trifurcate Positive-Unlabeled Data. CoRR abs/2405.20970 (2024) - [i42]Hai Wang, Jing-Hao Xue:
360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation. CoRR abs/2409.08397 (2024) - 2023
- [j117]Xuechen Zhang, Isaac Cheng, Shaojun Liu, Chenrui Li, Jing-Hao Xue, Lai-Shan Tam, Weichuan Yu:
Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images. Comput. Medical Imaging Graph. 106: 102200 (2023) - [j116]Yan Yan, Ying Shu, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang:
SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data. Int. J. Comput. Vis. 131(8): 2097-2121 (2023) - [j115]Xiaoxu Li, Yalan Li, Yixiao Zheng, Rui Zhu, Zhanyu Ma, Jing-Hao Xue, Jie Cao:
ReNAP: Relation network with adaptiveprototypical learning for few-shot classification. Neurocomputing 520: 356-364 (2023) - [j114]Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki:
Discriminant Feature Extraction by Generalized Difference Subspace. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 1618-1635 (2023) - [j113]Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3121-3138 (2023) - [j112]Pengyang Zhao, Shuping Zhao, Jing-Hao Xue, Wenming Yang, Qingmin Liao:
The neglected background cues can facilitate finger vein recognition. Pattern Recognit. 136: 109199 (2023) - [j111]Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue:
Deep metric learning for few-shot image classification: A Review of recent developments. Pattern Recognit. 138: 109381 (2023) - [j110]Rui Zhu, Fei Zhou, Wenming Yang, Jing-Hao Xue:
Statistical hypothesis testing as a novel perspective of pooling for image quality assessment. Signal Process. Image Commun. 114: 116942 (2023) - [j109]Pengyang Zhao, Zhiquan Chen, Jing-Hao Xue, Jianjiang Feng, Wenming Yang, Qingmin Liao, Jie Zhou:
Single-Sample Finger Vein Recognition via Competitive and Progressive Sparse Representation. IEEE Trans. Biom. Behav. Identity Sci. 5(2): 209-220 (2023) - [j108]Tianyu Sun, Guodong Zhang, Wenming Yang, Jing-Hao Xue, Guijin Wang:
TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5721-5733 (2023) - [j107]Xiaoxu Li, Qi Song, Jijie Wu, Rui Zhu, Zhanyu Ma, Jing-Hao Xue:
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification. IEEE Trans. Circuits Syst. Video Technol. 33(12): 7530-7540 (2023) - [j106]Yan Yan, Youze Xu, Jing-Hao Xue, Yang Lu, Hanzi Wang, Wentao Zhu:
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples. IEEE Trans. Cybern. 53(11): 7071-7084 (2023) - [j105]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. IEEE Trans. Multim. 25: 4361-4373 (2023) - [j104]Zhanyu Ma, Xiaoou Lu, Jiyang Xie, Zhen Yang, Jing-Hao Xue, Zheng-Hua Tan, Bo Xiao, Jun Guo:
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1823-1837 (2023) - [c41]Jen-Tzung Chien, Ming-Yen Chen, Jing-Hao Xue:
Learning Meta Soft Prompt for Few-Shot Language Models. APSIPA ASC 2023: 57-62 - [i41]Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue:
DREAM: Visual Decoding from Reversing Human Visual System. CoRR abs/2310.02265 (2023) - [i40]Hai Wang, Xiaoyu Xiang, Yuchen Fan, Jing-Hao Xue:
Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models. CoRR abs/2310.18840 (2023) - [i39]Ziqiang Zhang, Yan Yan, Jing-Hao Xue, Hanzi Wang:
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion. CoRR abs/2312.07079 (2023) - [i38]Liuxiang Qiu, Si Chen, Yan Yan, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu:
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification. CoRR abs/2312.07853 (2023) - 2022
- [j103]Delian Ruan, Rongyun Mo, Yan Yan, Si Chen, Jing-Hao Xue, Hanzi Wang:
Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition. Int. J. Comput. Vis. 130(2): 455-477 (2022) - [j102]Yurong Ling, Fei Zhou, Kun Guo, Jing-Hao Xue:
ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment. Neurocomputing 493: 568-582 (2022) - [j101]Xiaolin Han, Huan Zhang, Jing-Hao Xue, Weidong Sun:
A Spectral-Spatial Jointed Spectral Super-Resolution and Its Application to HJ-1A Satellite Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j100]Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 44(9): 4605-4625 (2022) - [j99]Naoya Sogi, Rui Zhu, Jing-Hao Xue, Kazuhiro Fukui:
Constrained mutual convex cone method for image set based recognition. Pattern Recognit. 121: 108190 (2022) - [j98]Longbiao Mao, Yan Yan, Jing-Hao Xue, Hanzi Wang:
Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification. IEEE Trans. Affect. Comput. 13(2): 818-828 (2022) - [j97]Xi Weng, Yan Yan, Si Chen, Jing-Hao Xue, Hanzi Wang:
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4444-4459 (2022) - [j96]Haoyu Ma, Shaojun Liu, Qingmin Liao, Juncheng Zhang, Jing-Hao Xue:
Defocus Image Deblurring Network With Defocus Map Estimation as Auxiliary Task. IEEE Trans. Image Process. 31: 216-226 (2022) - [j95]Song Chen, Jing-Hao Xue, Jianlong Chang, Jianzhong Zhang, Jufeng Yang, Qi Tian:
SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem. IEEE Trans. Image Process. 31: 1134-1148 (2022) - [j94]Youcheng Zhang, Zongqing Lu, Xuechen Zhang, Jing-Hao Xue, Qingmin Liao:
Deep Learning in Lane Marking Detection: A Survey. IEEE Trans. Intell. Transp. Syst. 23(7): 5976-5992 (2022) - [j93]Shumin An, Qingmin Liao, Zongqing Lu, Jing-Hao Xue:
Efficient Semantic Segmentation via Self-Attention and Self-Distillation. IEEE Trans. Intell. Transp. Syst. 23(9): 15256-15266 (2022) - [j92]Liyang Liu, Bochao Wang, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
GenDet: Meta Learning to Generate Detectors From Few Shots. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3448-3460 (2022) - [c40]Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework. AAAI 2022: 5367-5375 - [c39]Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition. ECCV (19) 2022: 683-700 - [c38]Yurong Ling, Jing-Hao Xue:
Dimension reduction for high-dimensional small counts with KL divergence. UAI 2022: 1210-1220 - [i37]Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework. CoRR abs/2201.06781 (2022) - [i36]Xi Weng, Yan Yan, Si Chen, Jing-Hao Xue, Hanzi Wang:
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes. CoRR abs/2203.04031 (2022) - [i35]Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition. CoRR abs/2207.07973 (2022) - [i34]Weihao Xia, Yujiu Yang, Jing-Hao Xue:
GAN Inversion for Consistent Video Interpolation and Manipulation. CoRR abs/2208.11197 (2022) - [i33]Weihao Xia, Jing-Hao Xue:
A Survey on 3D-aware Image Synthesis. CoRR abs/2210.14267 (2022) - 2021
- [j91]Zerui Li, Yue Ming, Lei Yang, Jing-Hao Xue:
Mutual-learning sequence-level knowledge distillation for automatic speech recognition. Neurocomputing 428: 259-267 (2021) - [j90]Yuanyuan Liu, Jiyao Peng, Jing-Hao Xue, Yongquan Chen, Zhang-Hua Fu:
TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild. Neurocomputing 447: 10-22 (2021) - [j89]Yue Ming, Fan Feng, Chao Li, Jing-Hao Xue:
3D-TDC: A 3D temporal dilation convolution framework for video action recognition. Neurocomputing 450: 362-371 (2021) - [j88]Guanyu Deng, Yue Ming, Jing-Hao Xue:
RFRN: A recurrent feature refinement network for accurate and efficient scene text detection. Neurocomputing 453: 465-481 (2021) - [j87]Jing-Hao Xue, Jufeng Yang, Xiaoxu Li, Yan Yan, Yujiu Yang, Zongqing Lu, Zhanyu Ma:
Guest Editorial: Special issue on deep learning with small samples. Neurocomputing 456: 461-462 (2021) - [j86]Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma:
A concise review of recent few-shot meta-learning methods. Neurocomputing 456: 463-468 (2021) - [j85]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jun Guo:
Deep InterBoost networks for small-sample image classification. Neurocomputing 456: 492-503 (2021) - [j84]Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches. Neurocomputing 460: 256-265 (2021) - [j83]Xiaoou Lu, Yangqi Qiao, Rui Zhu, Guijin Wang, Zhanyu Ma, Jing-Hao Xue:
Generalisations of stochastic supervision models. Pattern Recognit. 109: 107575 (2021) - [j82]Guodong Zhang, Jing-Hao Xue, Pengwei Xie, Sifan Yang, Guijin Wang:
Non-Local Aggregation for RGB-D Semantic Segmentation. IEEE Signal Process. Lett. 28: 658-662 (2021) - [j81]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Jing Xiao:
Domain Fingerprints for No-Reference Image Quality Assessment. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1332-1341 (2021) - [j80]Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo:
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1569-1579 (2021) - [j79]Xiaokang Zhang, Yan Yan, Jing-Hao Xue, Yang Hua, Hanzi Wang:
Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification. IEEE Trans. Circuits Syst. Video Technol. 31(7): 2764-2778 (2021) - [j78]Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue:
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. IEEE Trans. Image Process. 30: 1318-1331 (2021) - [j77]Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jian Sun, Yinhe Zheng, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition. IEEE Trans. Image Process. 30: 9208-9219 (2021) - [j76]Youcheng Zhang, Zongqing Lu, Dongdong Ma, Jing-Hao Xue, Qingmin Liao:
Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN. IEEE Trans. Intell. Transp. Syst. 22(3): 1532-1542 (2021) - [j75]Yang Dong, Jiachen Wan, Xingjian Wang, Jing-Hao Xue, Jibin Zou, Honghui He, Pengcheng Li, Anli Hou, Hui Ma:
A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions. IEEE Trans. Medical Imaging 40(12): 3728-3738 (2021) - [j74]Liyang Liu, Zhanghui Kuang, Yimin Chen, Jing-Hao Xue, Wenming Yang, Wayne Zhang:
IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2306-2319 (2021) - [j73]Wanping Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Jing-Hao Xue, Qingmin Liao:
Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4742-4747 (2021) - [c37]Zhuo Sun, Jijie Wu, Xiaoxu Li, Wenming Yang, Jing-Hao Xue:
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification. AISTATS 2021: 1414-1422 - [c36]Xile Shen, Zongqing Lu, Youcheng Zhang, Jing-Hao Xue:
Lane Line Detection based on Parallel Spatial Separation Convolution. BMVC 2021: 114 - [c35]Zhibin Xiao, Jing-Hao Xue, Pengwei Xie, Guijin Wang:
FETNet: Feature Exchange Transformer Network for RGB-D Object Detection. BMVC 2021: 314 - [c34]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. CVPR 2021: 2256-2265 - [c33]Ying Shu, Yan Yan, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang:
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data. CVPR 2021: 11916-11925 - [c32]Ming Chen, Guijin Wang, Jing-Hao Xue, Zijian Ding, Li Sun:
Enhance Via Decoupling: Improving Multi-Label Classifiers With Variational Feature Augmentation. ICIP 2021: 1329-1333 - [c31]Hui Deng, Qingmin Liao, Zongqing Lu, Jing-Hao Xue:
Parallax Contextual Representations For Stereo Matching. ICIP 2021: 3193-3197 - [c30]Xuanyu Xiao, Zongqing Lu, Jing-Hao Xue:
CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation. ICIP 2021: 3283-3287 - [c29]Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
Towards Impartial Multi-task Learning. ICLR 2021 - [c28]Lei Chen, Zongqing Lu, Qingmin Liao, Haoyu Ma, Jing-Hao Xue:
Disparity Estimation with Scene Depth Cues. ICME 2021: 1-6 - [c27]Lei Chen, Zongqing Lu, Qingmin Liao, Jing-Hao Xue:
Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features. ICME 2021: 1-6 - [c26]Yingjie Cui, Qingmin Liao, Wenming Yang, Jing-Hao Xue:
RGB Guided Depth Map Super-Resolution with Coupled U-Net. ICME 2021: 1-6 - [c25]Kuayue Zhang, Qingmin Liao, Juncheng Zhang, Shaojun Liu, Haoyu Ma, Jing-Hao Xue:
EFRNet: A Lightweight Network with Efficient Feature Fusion and Refinement for Real-Time Semantic Segmentation. ICME 2021: 1-6 - [c24]Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
Group Fisher Pruning for Practical Network Compression. ICML 2021: 7021-7032 - [c23]Zijun Yu, Jian Yin, Qiang Zhang, Wenming Yang, Jing-Hao Xue, Qingmin Liao:
Hourglass Face Detector for Hard Face. IJCNN 2021: 1-8 - [c22]Rongyun Mo, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang:
D³Net: Dual-Branch Disturbance Disentangling Network for Facial Expression Recognition. ACM Multimedia 2021: 779-787 - [c21]Chengcheng Zhou, Zongqing Lu, Linge Li, Qiangyu Yan, Jing-Hao Xue:
How Video Super-Resolution and Frame Interpolation Mutually Benefit. ACM Multimedia 2021: 5445-5453 - [c20]Youze Xu, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang:
Small-Vote Sample Selection for Label-Noise Learning. ECML/PKDD (3) 2021: 729-744 - [c19]Yurong Ling, Zijing Liu, Jing-Hao Xue:
Dimension reduction for data with heterogeneous missingness. UAI 2021: 1310-1320 - [i32]Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang:
GAN Inversion: A Survey. CoRR abs/2101.05278 (2021) - [i31]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
Towards Open-World Text-Guided Face Image Generation and Manipulation. CoRR abs/2104.08910 (2021) - [i30]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes. CoRR abs/2104.09216 (2021) - [i29]Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue:
Deep Metric Learning for Few-Shot Image Classification: A Selective Review. CoRR abs/2105.08149 (2021) - [i28]Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
Group Fisher Pruning for Practical Network Compression. CoRR abs/2108.00708 (2021) - [i27]Yurong Ling, Zijing Liu, Jing-Hao Xue:
Dimension Reduction for Data with Heterogeneous Missingness. CoRR abs/2109.11765 (2021) - [i26]Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao:
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation. CoRR abs/2111.12263 (2021) - 2020
- [j72]Wenming Yang, Fei Zhou, Rui Zhu, Kazuhiro Fukui, Guijin Wang, Jing-Hao Xue:
Deep learning for image super-resolution. Neurocomputing 398: 291-292 (2020) - [j71]Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement. Neural Networks 131: 50-63 (2020) - [j70]Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue:
Learning Local Metrics and Influential Regions for Classification. IEEE Trans. Pattern Anal. Mach. Intell. 42(6): 1522-1529 (2020) - [j69]Lincon Sales de Souza, Bernardo B. Gatto, Jing-Hao Xue, Kazuhiro Fukui:
Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition. Pattern Recognit. 97 (2020) - [j68]Xiaochen Yang, Mingzhi Dong, Ziyu Wang, Lianru Gao, Lefei Zhang, Jing-Hao Xue:
Data-augmented matched subspace detector for hyperspectral subpixel target detection. Pattern Recognit. 106: 107464 (2020) - [j67]Shaojun Liu, Qingmin Liao, Jing-Hao Xue, Fei Zhou:
Defocus map estimation from a single image using improved likelihood feature and edge-based basis. Pattern Recognit. 107: 107485 (2020) - [j66]Rui Zhu, Yiwen Guo, Jing-Hao Xue:
Adjusting the imbalance ratio by the dimensionality of imbalanced data. Pattern Recognit. Lett. 133: 217-223 (2020) - [j65]Juncheng Zhang, Qingmin Liao, Shaojun Liu, Haoyu Ma, Wenming Yang, Jing-Hao Xue:
Real-MFF: A large realistic multi-focus image dataset with ground truth. Pattern Recognit. Lett. 138: 370-377 (2020) - [j64]Fanlong Zhang, Guowei Yang, Jing-Hao Xue:
Hyperspectral image denoising based on low-rank coefficients and orthonormal dictionary. Signal Process. 177: 107738 (2020) - [j63]Jingna Sun, Wenming Yang, Riqiang Gao, Jing-Hao Xue, Qingmin Liao:
Inter-class angular margin loss for face recognition. Signal Process. Image Commun. 80 (2020) - [j62]Fei Zhou, Wenming Yang, Xinbo Gao, Hantao Liu, Rui Zhu, Jing-Hao Xue:
Special Issue on Advances in Statistical Methods-based Visual Quality Assessment. Signal Process. Image Commun. 83: 115695 (2020) - [j61]Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao:
LCSCNet: Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution. IEEE Trans. Image Process. 29: 1450-1464 (2020) - [j60]Xiaolin Han, Jing Yu, Jing-Hao Xue, Weidong Sun:
Hyperspectral and Multispectral Image Fusion Using Optimized Twin Dictionaries. IEEE Trans. Image Process. 29: 4709-4720 (2020) - [j59]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer. IEEE Trans. Image Process. 29: 6482-6495 (2020) - [j58]Haoyu Ma, Qingmin Liao, Juncheng Zhang, Shaojun Liu, Jing-Hao Xue:
An α-Matte Boundary Defocus Model-Based Cascaded Network for Multi-Focus Image Fusion. IEEE Trans. Image Process. 29: 8668-8679 (2020) - [j57]Jingna Sun, Wenming Yang, Jing-Hao Xue, Qingmin Liao:
An Equalized Margin Loss for Face Recognition. IEEE Trans. Multim. 22(11): 2833-2843 (2020) - [j56]Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo:
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2240-2254 (2020) - [j55]Jing-Hao Xue, Zhanyu Ma, Manuel Roveri, Nathalie Japkowicz:
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning. IEEE Trans. Neural Networks Learn. Syst. 31(8): 2688-2690 (2020) - [j54]Rui Zhu, Ziyu Wang, Naoya Sogi, Kazuhiro Fukui, Jing-Hao Xue:
A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data. IEEE Trans. Neural Networks Learn. Syst. 31(10): 3866-3876 (2020) - [j53]Guijin Wang, Cairong Zhang, Xinghao Chen, Xiangyang Ji, Jing-Hao Xue, Hang Wang:
Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5153-5165 (2020) - [c18]Yiyun Chen, Yihong Chen, Jing-Hao Xue, Wenming Yang, Qingmin Liao:
Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network. ICME 2020: 1-6 - [c17]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Wensen Feng:
Controllable Continuous Gaze Redirection. ACM Multimedia 2020: 1782-1790 - [c16]Delian Ruan, Yan Yan, Si Chen, Jing-Hao Xue, Hanzi Wang:
Deep Disturbance-Disentangled Learning for Facial Expression Recognition. ACM Multimedia 2020: 2833-2841 - [c15]Mingzhi Dong, Xiaochen Yang, Rui Zhu, Yujiang Wang, Jing-Hao Xue:
Generalization Bound of Gradient Descent for Non-Convex Metric Learning. NeurIPS 2020 - [c14]Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue:
Metric Learning for Categorical and Ambiguous Features: An Adversarial Method. ECML/PKDD (2) 2020: 223-238 - [i25]Longbiao Mao, Yan Yan, Jing-Hao Xue, Hanzi Wang:
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification. CoRR abs/2002.03683 (2020) - [i24]Jiarong Chen, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
XSepConv: Extremely Separated Convolution. CoRR abs/2002.12046 (2020) - [i23]Juncheng Zhang, Qingmin Liao, Shaojun Liu, Haoyu Ma, Wenming Yang, Jing-Hao Xue:
Real-MFF Dataset: A Large Realistic Multi-focus Image Dataset with Ground Truth. CoRR abs/2003.12779 (2020) - [i22]Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo:
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer. CoRR abs/2004.09033 (2020) - [i21]Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma:
A Concise Review of Recent Few-shot Meta-learning Methods. CoRR abs/2005.10953 (2020) - [i20]Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue:
Towards Certified Robustness of Metric Learning. CoRR abs/2006.05945 (2020) - [i19]Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo:
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification. CoRR abs/2006.15366 (2020) - [i18]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Wensen Feng:
Controllable Continuous Gaze Redirection. CoRR abs/2010.04513 (2020) - [i17]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization. CoRR abs/2010.05244 (2020) - [i16]Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo:
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference. CoRR abs/2011.08595 (2020) - [i15]Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue:
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. CoRR abs/2011.14311 (2020) - [i14]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu:
TediGAN: Text-Guided Diverse Image Generation and Manipulation. CoRR abs/2012.03308 (2020)
2010 – 2019
- 2019
- [j52]Wenming Yang, Wenyang Ji, Jing-Hao Xue, Yong Ren, Qingmin Liao:
A hybrid finger identification pattern using Polarized depth-Weighted Binary Direction Coding. Neurocomputing 325: 260-268 (2019) - [j51]Fangyi Zhu, Zhanyu Ma, Xiaoxu Li, Guang Chen, Jen-Tzung Chien, Jing-Hao Xue, Jun Guo:
Image-text dual neural network with decision strategy for small-sample image classification. Neurocomputing 328: 182-188 (2019) - [j50]Rui Zhu, Mingzhi Dong, Jing-Hao Xue:
Learning distance to subspace for the nearest subspace methods in high-dimensional data classification. Inf. Sci. 481: 69-80 (2019) - [j49]Xiaochen Yang, Lefei Zhang, Lianru Gao, Jing-Hao Xue:
MSDH: Matched subspace detector with heterogeneous noise. Pattern Recognit. Lett. 125: 701-707 (2019) - [j48]Wenming Yang, Changqing Hui, Zhiquan Chen, Jing-Hao Xue, Qingmin Liao:
FV-GAN: Finger Vein Representation Using Generative Adversarial Networks. IEEE Trans. Inf. Forensics Secur. 14(9): 2512-2524 (2019) - [j47]Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao:
Deep Learning for Single Image Super-Resolution: A Brief Review. IEEE Trans. Multim. 21(12): 3106-3121 (2019) - [c13]Guanqun Hou, Yujiu Yang, Jing-Hao Xue:
Residual Dilated Network with Attention for Image Blind Denoising. ICME 2019: 248-253 - [c12]Bin Yuan, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Approach to Automatic Clothing Matting from Mannequins. ICME 2019: 880-885 - [c11]Zhengyang Sun, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal. ICME 2019: 1570-1575 - [c10]Yachi Zhang, Zongqing Lu, Jing-Hao Xue, Qingmin Liao:
A New Rotation-Invariant Deep Network for 3D Object Recognition. ICME 2019: 1606-1611 - [c9]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo:
Soft Dropout And Its Variational Bayes Approximation. MLSP 2019: 1-6 - [i13]Guijin Wang, Cairong Zhang, Xinghao Chen, Xiangyang Ji, Jing-Hao Xue, Hang Wang:
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images. CoRR abs/1902.09795 (2019) - [i12]Naoya Sogi, Rui Zhu, Jing-Hao Xue, Kazuhiro Fukui:
Constrained Mutual Convex Cone Method for Image Set Based Recognition. CoRR abs/1903.06549 (2019) - [i11]Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao:
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution. CoRR abs/1909.03573 (2019) - [i10]Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki:
Discriminant analysis based on projection onto generalized difference subspace. CoRR abs/1910.13113 (2019) - [i9]Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches. CoRR abs/1911.00426 (2019) - [i8]Weihao Xia, Yujiu Yang, Jing-Hao Xue:
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement. CoRR abs/1911.00622 (2019) - [i7]Weihao Xia, Yujiu Yang, Jing-Hao Xue, Jing Xiao:
Domain-Aware No-Reference Image Quality Assessment. CoRR abs/1911.00673 (2019) - 2018
- [j46]Ziyu Wang, Jing-Hao Xue:
Matched shrunken subspace detectors for hyperspectral target detection. Neurocomputing 272: 226-236 (2018) - [j45]Rui Zhu, Fei Zhou, Jing-Hao Xue:
MvSSIM: A quality assessment index for hyperspectral images. Neurocomputing 272: 250-257 (2018) - [j44]Ziyu Wang, Huafeng Hu, Lefei Zhang, Jing-Hao Xue:
Discriminatively guided filtering (DGF) for hyperspectral image classification. Neurocomputing 275: 1981-1987 (2018) - [j43]Zhengda Zeng, Wenming Yang, Wen Sun, Jing-Hao Xue, Qingmin Liao:
No-reference image quality assessment for photographic images based on robust statistics. Neurocomputing 313: 111-118 (2018) - [j42]Rui Zhu, Ziyu Wang, Zhanyu Ma, Guijin Wang, Jing-Hao Xue:
LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test. Pattern Recognit. Lett. 116: 36-42 (2018) - [j41]Ziyu Wang, Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue:
Cone-based joint sparse modelling for hyperspectral image classification. Signal Process. 144: 417-429 (2018) - [j40]Rui Zhu, Fei Zhou, Wenming Yang, Jing-Hao Xue:
On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks]. IEEE Signal Process. Mag. 35(4): 133-136 (2018) - [j39]Wen Sun, Qingmin Liao, Jing-Hao Xue, Fei Zhou:
SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment. IEEE Trans. Image Process. 27(9): 4232-4244 (2018) - [j38]Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo:
Decorrelation of Neutral Vector Variables: Theory and Applications. IEEE Trans. Neural Networks Learn. Syst. 29(1): 129-143 (2018) - [c8]Xiaolin Han, Jing Yu, Jing-Hao Xue, Weidong Sun:
Spectral Super-resolution for RGB Images using Class-based BP Neural Networks. DICTA 2018: 1-7 - [c7]Jingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu, Huazhong Yang:
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition. ECCV Workshops (6) 2018: 273-286 - [c6]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint. MLSP 2018: 1-6 - [i6]Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue:
Learning Local Metrics and Influential Regions for Classification. CoRR abs/1802.03452 (2018) - [i5]Mingzhi Dong, Xiaochen Yang, Yang Wu, Jing-Hao Xue:
Metric Learning via Maximizing the Lipschitz Margin Ratio. CoRR abs/1802.03464 (2018) - [i4]Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo:
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint. CoRR abs/1807.02795 (2018) - [i3]Jiyang Xie, Jiaxin Guo, Zhanyu Ma, Jing-Hao Xue, Qie Sun, Hailong Li, Jun Guo:
SEA: A Combined Model for Heat Demand Prediction. CoRR abs/1808.00331 (2018) - [i2]Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue:
Deep Learning for Single Image Super-Resolution: A Brief Review. CoRR abs/1808.03344 (2018) - 2017
- [j37]Wei Jiang, Jing-Hao Xue, Weichuan Yu:
What is the probability of replicating a statistically significant association in genome-wide association studies? Briefings Bioinform. 18(6): 928-939 (2017) - [j36]Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue:
Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data. Inf. Sci. 382-383: 1-14 (2017) - [j35]Rui Zhu, Jing-Hao Xue:
On the orthogonal distance to class subspaces for high-dimensional data classification. Inf. Sci. 417: 262-273 (2017) - [j34]Ziyu Wang, Jing-Hao Xue:
The matched subspace detector with interaction effects. Pattern Recognit. 68: 24-37 (2017) - [j33]Ziyu Wang, Jianxiong Liu, Jing-Hao Xue:
Joint sparse model-based discriminative K-SVD for hyperspectral image classification. Signal Process. 133: 144-155 (2017) - [j32]Jérôme Lapuyade-Lahorgue, Jing-Hao Xue, Su Ruan:
Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions. IEEE Trans. Image Process. 26(7): 3187-3195 (2017) - [j31]Ziyu Wang, Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue:
Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection. IEEE Trans. Image Process. 26(11): 5447-5461 (2017) - [c5]Mingzhi Dong, Kunkun Pang, Yang Wu, Jing-Hao Xue, Timothy M. Hospedales, Tsukasa Ogasawara:
Transferring CNNS to multi-instance multi-label classification on small datasets. ICIP 2017: 1332-1336 - [i1]Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo:
Decorrelation of Neutral Vector Variables: Theory and Applications. CoRR abs/1705.10524 (2017) - 2016
- [j30]Yicong Liang, Xiaoqing Ding, Changsong Liu, Jing-Hao Xue:
Combining multiple biometric traits with an order-preserving score fusion algorithm. Neurocomputing 171: 252-261 (2016) - [j29]Li He, Guijin Wang, Qingmin Liao, Jing-Hao Xue:
Latent variable pictorial structure for human pose estimation on depth images. Neurocomputing 203: 52-61 (2016) - [j28]Chendra Hadi Suryanto, Jing-Hao Xue, Kazuhiro Fukui:
Randomized time warping for motion recognition. Image Vis. Comput. 54: 1-11 (2016) - [j27]Hongzhao Chen, Guijin Wang, Jing-Hao Xue, Li He:
A novel hierarchical framework for human action recognition. Pattern Recognit. 55: 148-159 (2016) - [j26]Mengdi Wang, Jing Yu, Jing-Hao Xue, Weidong Sun:
Denoising of Hyperspectral Images Using Group Low-Rank Representation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 9(9): 4420-4427 (2016) - [j25]Yiwen Guo, Xiaoqing Ding, Changsong Liu, Jing-Hao Xue:
Sufficient Canonical Correlation Analysis. IEEE Trans. Image Process. 25(6): 2610-2619 (2016) - 2015
- [j24]Yiwen Guo, Xiaoqing Ding, Jing-Hao Xue:
MiLDA: A graph embedding approach to multi-view face recognition. Neurocomputing 151: 1255-1261 (2015) - [j23]Guijin Wang, Fei Zheng, Chenbo Shi, Jing-Hao Xue, Chunxiao Liu, Li He:
Embedding metric learning into set-based face recognition for video surveillance. Neurocomputing 151: 1500-1506 (2015) - [j22]Li He, Guijin Wang, Qingmin Liao, Jing-Hao Xue:
Depth-images-based pose estimation using regression forests and graphical models. Neurocomputing 164: 210-219 (2015) - [j21]Jing-Hao Xue, Peter Hall:
Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis? IEEE Trans. Pattern Anal. Mach. Intell. 37(5): 1109-1112 (2015) - [j20]Zhiwei Ruan, Guijin Wang, Jing-Hao Xue, Xinggang Lin:
Subcategory Clustering with Latent Feature Alignment and Filtering for Object Detection. IEEE Signal Process. Lett. 22(2): 244-248 (2015) - [j19]Rui Zhu, Mingzhi Dong, Jing-Hao Xue:
Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 3062-3067 (2015) - [j18]Yicong Liang, Xiaoqing Ding, Jing-Hao Xue:
Advanced Joint Bayesian Method for Face Verification. IEEE Trans. Inf. Forensics Secur. 10(2): 346-354 (2015) - 2014
- [j17]Peter Hall, Jing-Hao Xue:
On selecting interacting features from high-dimensional data. Comput. Stat. Data Anal. 71: 694-708 (2014) - [j16]Zhiwei Ruan, Guijin Wang, Xinggang Lin, Jing-Hao Xue, Yong Jiang:
Deformable Part-Based Model Transfer for Object Detection. IEICE Trans. Inf. Syst. 97-D(5): 1394-1397 (2014) - [j15]Zhiwei Ruan, Guijin Wang, Jing-Hao Xue, Xinggang Lin, Yong Jiang:
Detection of user-registered dog faces. Neurocomputing 142: 256-266 (2014) - [j14]Yiwen Guo, Xiaoqing Ding, Chi Fang, Jing-Hao Xue:
Fisher's linear discriminant embedded metric learning. Neurocomputing 143: 7-13 (2014) - 2012
- [j13]Jing-Hao Xue, Yu-Jin Zhang:
Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding. Pattern Recognit. Lett. 33(6): 793-797 (2012) - 2011
- [j12]Jing-Hao Xue, D. M. Titterington:
Median-based image thresholding. Image Vis. Comput. 29(9): 631-637 (2011) - [j11]Jing-Hao Xue, D. Mike Titterington:
t -Tests, F -Tests and Otsu's Methods for Image Thresholding. IEEE Trans. Image Process. 20(8): 2392-2396 (2011) - 2010
- [j10]Jing-Hao Xue, D. M. Titterington:
On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance. Comput. Stat. Data Anal. 54(2): 438-451 (2010) - [j9]Jing-Hao Xue, D. Mike Titterington:
Joint discriminative-generative modelling based on statistical tests for classification. Pattern Recognit. Lett. 31(9): 1048-1055 (2010)
2000 – 2009
- 2009
- [j8]Jing-Hao Xue, D. Mike Titterington:
Interpretation of hybrid generative/discriminative algorithms. Neurocomputing 72(7-9): 1648-1655 (2009) - 2008
- [j7]Jing-Hao Xue, D. M. Titterington:
Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes". Neural Process. Lett. 28(3): 169-187 (2008) - [j6]Jing-Hao Xue, D. Mike Titterington:
Do unbalanced data have a negative effect on LDA? Pattern Recognit. 41(5): 1558-1571 (2008) - [j5]Jing-Hao Xue, D. M. Titterington:
Short note on two output-dependent hidden Markov models. Pattern Recognit. Lett. 29(9): 1424-1426 (2008) - 2005
- [j4]Yijun Yu, Jianguo Lu, John Mylopoulos, Weiwei Sun, Jing-Hao Xue, Erik H. D'Hollander:
Making XML document markup international. Softw. Pract. Exp. 35(1): 1-14 (2005) - 2003
- [j3]Jing-Hao Xue, Aleksandra Pizurica, Wilfried Philips, Etienne E. Kerre, Rik Van de Walle, Ignace Lemahieu:
An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images. Pattern Recognit. Lett. 24(15): 2549-2560 (2003) - [c4]Yijun Yu, Jianguo Lu, Jing-Hao Xue, Yi Zhang, Weiwei Sun:
Localizing XML Documents through XSLT. Applied Informatics 2003: 1059-1064 - 2001
- [j2]Jing-Hao Xue, Su Ruan, Bruno Moretti, Marinette Revenu, Daniel Bloyet:
Knowledge-based segmentation and labeling of brain structures from MRI images. Pattern Recognit. Lett. 22(3/4): 395-405 (2001) - [c3]Jing-Hao Xue, Wilfried Philips, Aleksandra Pizurica, Ignace Lemahieu:
A novel method for adaptive enhancement and unsupervised segmentation of MRI brain image. ICASSP 2001: 2013-2016 - 2000
- [j1]Su Ruan, Cyril Jaggi, Jing-Hao Xue, Mohamed-Jalal Fadili, Daniel Bloyet:
Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling. IEEE Trans. Medical Imaging 19(12): 1179-1187 (2000) - [c2]Jing-Hao Xue, Su Ruan, Bruno Moretti, Marinette Revenu, Daniel Bloyet, Wilfried Philips:
Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation. ICIP 2000: 617-620 - [c1]Su Ruan, Mohamed-Jalal Fadili, Daniel Bloyet, Jing-Hao Xue:
Unsupervised Segmentation of Three-Dimensional Brain Images. ICPR 2000: 3409-3412
Coauthor Index
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