Jing-Hao Xue

263 papers A* 16A 17B 7Misc 3Journal 211Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Text-Driven 360° Panorama Generation.
IEEE Trans. Circuits Syst. Video Technol.
Hai Wang, Xiaoyu Xiang, Weihao Xia, Jing-Hao Xue
2026 J jnl
BDC-Occ: Binarized Deep Convolution Unit for Binarized Occupancy Network.
IEEE Trans. Circuits Syst. Video Technol.
Zongkai Zhang, Peng Ling, Zidong Xu, Wenming Yang, Qingmin Liao, Jing-Hao Xue
2026 J jnl
Dawid-Skene-model-based label-noise mitigation for federated learning.
Inf. Sci.
Jia Dong, Rui Zhu, Xinyi Shang, Jing-Hao Xue
2026 J jnl
Federated learning with noisy labels: A comprehensive and concise review of current methodologies and future directions.
Neural Networks
Jia Dong, Rui Zhu, Xinyi Shang, Jing-Hao Xue
2026 J jnl
Fine-Tuning via Linked Domains: A Closed-Form Dual Alignment Mechanism for Transferring Vision-Language Models.
IEEE Trans. Circuits Syst. Video Technol.
Peiyu Lu, Xiaoxu Li, Rui Zhu, Zhanyu Ma, Jie Cao, Jing-Hao Xue
2026 J jnl
From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering.
CoRR
Xinyi Shang, Yi Tang, Jiacheng Cui, Ahmed Elhagry, Salwa K. Al Khatib, Sondos Mahmoud Bsharat, Jiacheng Liu, Xiaohan Zhao, Jing-Hao Xue, Hao Li, Salman Khan, Zhiqiang Shen
2026 J jnl
HOH-Net: High-Order Hierarchical Middle-Feature Learning Network for Visible-Infrared Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Liuxiang Qiu, Si Chen, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu, Yan Yan
2026 J jnl
UC-PUAL: A universally consistent classifier of positive-unlabelled data.
Pattern Recognit.
Xiaoke Wang, Rui Zhu, Jing-Hao Xue
2025 A conf
360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation.
WACV
Hai Wang, Jing-Hao Xue
2025 J jnl
A Survey on Text-Driven 360-Degree Panorama Generation.
CoRR
Hai Wang, Xiaoyu Xiang, Weihao Xia, Jing-Hao Xue
2025 J jnl
Augmentation Matters: A Mix-Paste Method for X-Ray Prohibited Item Detection Under Noisy Annotations.
IEEE Trans. Inf. Forensics Secur.
Ruikang Chen, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang
2025 J jnl
Augmentation Matters: A Mix-Paste Method for X-Ray Prohibited Item Detection under Noisy Annotations.
CoRR
Ruikang Chen, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang
2025 J jnl
CDN4: A cross-view Deep Nearest Neighbor Neural Network for fine-grained few-shot classification.
Pattern Recognit.
Xiaoxu Li, Shuo Ding, Jiyang Xie, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue
2025 J jnl
Clarity in chaos: Boosting few-shot classification through information suppression and sparsification.
Pattern Recognit.
Xiaoxu Li, Luchen Ji, Rui Zhu, Zhanyu Ma, Jing-Hao Xue
2025 J jnl
Consistency-driven feature scoring and regularization network for visible-infrared person re-identification.
Pattern Recognit.
Xueting Chen, Yan Yan, Jing-Hao Xue, Nannan Wang, Hanzi Wang
2025 A* conf
DARL: Mitigating Gradient Conflicts in Long-Tailed Out-of-Distribution Learning.
ACM Multimedia
Xuan Zhang, Sin Chee Chin, Jing-Hao Xue, Xiaochen Yang, Wenming Yang
2025 J jnl
GKF-PUAL: A group kernel-free approach to positive-unlabeled learning with variable selection.
Inf. Sci.
Xiaoke Wang, Rui Zhu, Jing-Hao Xue
2025 J jnl
Hyperbolic Self-Paced Multi-Expert Network for Cross-Domain Few-Shot Facial Expression Recognition.
IEEE Trans. Image Process.
Xueting Chen, Yan Yan, Jing-Hao Xue, Chang Shu, Hanzi Wang
2025 J jnl
I
IEEE Trans. Inf. Forensics Secur.
Chenyang Wang, Yan Yan, Jing-Hao Xue, Hanzi Wang
2025 Misc conf
Identity-Preserving Diffusion for Face Restoration.
ICASSP
Xiaying Bai, Yuhao Yang, Wenming Yang, Rui Zhu, Jing-Hao Xue
2025 J jnl
Interactive triplet attention for few-shot fine-grained image classification.
Neurocomputing
Xiaoxu Li, Shaoying Xue, Jiyang Xie, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue
2025 J jnl
Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery.
IEEE Trans. Neural Networks Learn. Syst.
Runqing Jiang, Yan Yan, Jing-Hao Xue, Si Chen, Nannan Wang, Hanzi Wang
2025 A* conf
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch.
CVPR
Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang
2025 J jnl
Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch.
CoRR
Yijie Liu, Xinyi Shang, Yiqun Zhang, Yang Lu, Chen Gong, Jing-Hao Xue, Hanzi Wang
2025 J jnl
PUAL: A classifier on trifurcate positive-unlabelled data.
Neurocomputing
Xiaoke Wang, Xiaochen Yang, Rui Zhu, Jing-Hao Xue
2025 J jnl
PathoSCOPE: Few-Shot Pathology Detection via Self-Supervised Contrastive Learning and Pathology-Informed Synthetic Embeddings.
CoRR
Sin Chee Chin, Yinuo Ma, Xiaochen Yang, Jing-Hao Xue, Wenming Yang
2025 J jnl
Query-Aware Cross-Mixup and Cross-Reconstruction for Few-Shot Fine-Grained Image Classification.
IEEE Trans. Circuits Syst. Video Technol.
Zhimin Zhang, Dongliang Chang, Rui Zhu, Xiaoxu Li, Zhanyu Ma, Jing-Hao Xue
2025 J jnl
Rise by Lifting Others: Interacting Features to Uplift Few-Shot Fine-Grained Classification.
IEEE Trans. Circuits Syst. Video Technol.
Xiaoxu Li, Peiyu Lu, Rui Zhu, Zhanyu Ma, Jie Cao, Jing-Hao Xue
2025 J jnl
SRML: Structure-relation mutual learning network for few-shot image classification.
Pattern Recognit.
Xiaoxu Li, Lang Wang, Rui Zhu, Zhanyu Ma, Jie Cao, Jing-Hao Xue
2025 J jnl
Selectively Augmented Attention Network for Few-Shot Image Classification.
IEEE Trans. Circuits Syst. Video Technol.
Xiaoxu Li, Xiangyang Wang, Rui Zhu, Zhanyu Ma, Jie Cao, Jing-Hao Xue
2025 J jnl
Self-randomized focuses effectively boost metric-based few-shot classifiers.
Pattern Recognit.
Zhen Li, Zhongyuan Liu, Dongliang Chang, Aneeshan Sain, Xiaoxu Li, Zhanyu Ma, Jing-Hao Xue, Yi-Zhe Song
2025 J jnl
Towards Reliable and Holistic Visual In-Context Learning Prompt Selection.
CoRR
Wenxiao Wu, Jing-Hao Xue, Chengming Xu, Chen Liu, Xinwei Sun, Changxin Gao, Nong Sang, Yanwei Fu
2025 J jnl
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition.
CoRR
Hu Ding, Yan Yan, Yang Lu, Jing-Hao Xue, Hanzi Wang
2025 J jnl
Uncertainty-Aware Label Refinement on Hypergraphs for Personalized Federated Facial Expression Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Hu Ding, Yan Yan, Yang Lu, Jing-Hao Xue, Hanzi Wang
2025 J jnl
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection.
CoRR
Sin Chee Chin, Fan Zhang, Xiaochen Yang, Jing-Hao Xue, Wenming Yang, Peng Jia, Guijin Wang, Luo Yingqun
2025 J jnl
WarpGAN: Warping-Guided 3D GAN Inversion with Style-Based Novel View Inpainting.
CoRR
Kaitao Huang, Yan Yan, Jing-Hao Xue, Hanzi Wang
2024 J jnl
360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation.
CoRR
Hai Wang, Jing-Hao Xue
2024 J jnl
A Survey on Deep Generative 3D-aware Image Synthesis.
ACM Comput. Surv.
Weihao Xia, Jing-Hao Xue
2024 J jnl
A simple scheme to amplify inter-class discrepancy for improving few-shot fine-grained image classification.
Pattern Recognit.
Xiaoxu Li, Zijie Guo, Rui Zhu, Zhanyu Ma, Jun Guo, Jing-Hao Xue
2024 J jnl
BDC-Occ: Binarized Deep Convolution Unit For Binarized Occupancy Network.
CoRR
Zongkai Zhang, Zidong Xu, Wenming Yang, Qingmin Liao, Jing-Hao Xue
2024 A* conf
Channel-Spatial Support-Query Cross-Attention for Fine-Grained Few-Shot Image Classification.
ACM Multimedia
Shicheng Yang, Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Jing-Hao Xue
2024 A conf
Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models.
WACV
Hai Wang, Xiaoyu Xiang, Yuchen Fan, Jing-Hao Xue
2024 J jnl
DCES-PA: Deformation-controllable elastic shape model for 3D bone proliferation analysis using hand HR-pQCT images.
Comput. Biol. Medicine
Xuechen Zhang, Isaac Cheng, Yingzhao Jin, Jiandong Shi, Chenrui Li, Jing-Hao Xue, Lai-Shan Tam, Weichuan Yu
2024 A conf
DREAM: Visual Decoding from REversing HumAn Visual SysteM.
WACV
Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue
2024 J jnl
DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition.
IEEE Trans. Image Process.
Woomin Myung, Nan Su, Jing-Hao Xue, Guijin Wang
2024 J jnl
Dual Correlation Network for Efficient Video Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Shumin An, Qingmin Liao, Zongqing Lu, Jing-Hao Xue
2024 J jnl
Dual-Mode Learning for Multi-Dataset X-Ray Security Image Detection.
IEEE Trans. Inf. Forensics Secur.
Fenghong Yang, Runqing Jiang, Yan Yan, Jing-Hao Xue, Biao Wang, Hanzi Wang
2024 J jnl
Exploit the Best of Both End-to-End and Map-Based Methods for Multi-Focus Image Fusion.
IEEE Trans. Multim.
Juncheng Zhang, Qingmin Liao, Haoyu Ma, Jing-Hao Xue, Wenming Yang, Shaojun Liu
2024 A* conf
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-identification.
AAAI
Liuxiang Qiu, Si Chen, Yan Yan, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu
2024 J jnl
Interpretable Heterogeneous Teacher-Student Learning Framework for Hybrid-Supervised Pulmonary Nodule Detection.
IEEE Trans. Circuits Syst. Video Technol.
Guangyu Huang, Yan Yan, Jing-Hao Xue, Wentao Zhu, Xiongbiao Luo
2024 J jnl
PUAL: A Classifier on Trifurcate Positive-Unlabeled Data.
CoRR
Xiaoke Wang, Xiaochen Yang, Rui Zhu, Jing-Hao Xue
2024 J jnl
Query-centric distance modulator for few-shot classification.
Pattern Recognit.
Wenxiao Wu, Yuanjie Shao, Changxin Gao, Jing-Hao Xue, Nong Sang
2024 J jnl
Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition.
IEEE Trans. Image Process.
Yuanling Lv, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
2024 A* conf
Reschedule Diffusion-based Bokeh Rendering.
IJCAI
Shiyue Yan, Xiaoshi Qiu, Qingmin Liao, Jing-Hao Xue, Shaojun Liu
2024 J jnl
Self-reconstruction network for fine-grained few-shot classification.
Pattern Recognit.
Xiaoxu Li, Zhen Li, Jiyang Xie, Xiaochen Yang, Jing-Hao Xue, Zhanyu Ma
2024 A* conf
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion.
AAAI
Ziqiang Zhang, Yan Yan, Jing-Hao Xue, Hanzi Wang
2024 J jnl
Survival Analysis of High-Dimensional Data With Graph Convolutional Networks and Geometric Graphs.
IEEE Trans. Neural Networks Learn. Syst.
Yurong Ling, Zijing Liu, Jing-Hao Xue
2024 J jnl
Toward Certified Robustness of Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst.
Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue
2024 — conf
UMBRAE: Unified Multimodal Brain Decoding.
ECCV (7)
Weihao Xia, Raoul de Charette, A. Cengiz Öztireli, Jing-Hao Xue
2024 J jnl
UMBRAE: Unified Multimodal Brain Decoding.
CoRR
Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue
2024 J jnl
Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition.
IEEE Trans. Circuits Syst. Video Technol.
Yang Xu, Yan Yan, Jing-Hao Xue, Yang Hua, Hanzi Wang
2024 J jnl
VPCFormer: A transformer-based multi-view finger vein recognition model and a new benchmark.
Pattern Recognit.
Pengyang Zhao, Yizhuo Song, Siqi Wang, Jing-Hao Xue, Shuping Zhao, Qingmin Liao, Wenming Yang
2024 J jnl
Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition.
IEEE Trans. Multim.
Yuanling Lv, Guangyu Huang, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
2024 J jnl
When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework.
IEEE Trans. Neural Networks Learn. Syst.
Runqing Jiang, Yan Yan, Jing-Hao Xue, Biao Wang, Hanzi Wang
2023 J jnl
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.
IEEE Trans. Multim.
Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
2023 J jnl
Automatic 3D joint erosion detection for the diagnosis and monitoring of rheumatoid arthritis using hand HR-pQCT images.
Comput. Medical Imaging Graph.
Xuechen Zhang, Isaac Cheng, Shaojun Liu, Chenrui Li, Jing-Hao Xue, Lai-Shan Tam, Weichuan Yu
2023 J jnl
Customizing 360-Degree Panoramas through Text-to-Image Diffusion Models.
CoRR
Hai Wang, Xiaoyu Xiang, Yuchen Fan, Jing-Hao Xue
2023 J jnl
DREAM: Visual Decoding from Reversing Human Visual System.
CoRR
Weihao Xia, Raoul de Charette, Cengiz Öztireli, Jing-Hao Xue
2023 J jnl
Deep metric learning for few-shot image classification: A Review of recent developments.
Pattern Recognit.
Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue
2023 J jnl
Discriminant Feature Extraction by Generalized Difference Subspace.
IEEE Trans. Pattern Anal. Mach. Intell.
Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki
2023 J jnl
Drop Loss for Person Attribute Recognition With Imbalanced Noisy-Labeled Samples.
IEEE Trans. Cybern.
Yan Yan, Youze Xu, Jing-Hao Xue, Yang Lu, Hanzi Wang, Wentao Zhu
2023 J jnl
GAN Inversion: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang
2023 J jnl
High-Order Structure Based Middle-Feature Learning for Visible-Infrared Person Re-Identification.
CoRR
Liuxiang Qiu, Si Chen, Yan Yan, Jing-Hao Xue, Da-Han Wang, Shunzhi Zhu
2023 — conf
Learning Meta Soft Prompt for Few-Shot Language Models.
APSIPA ASC
Jen-Tzung Chien, Ming-Yen Chen, Jing-Hao Xue
2023 J jnl
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification.
IEEE Trans. Circuits Syst. Video Technol.
Xiaoxu Li, Qi Song, Jijie Wu, Rui Zhu, Zhanyu Ma, Jing-Hao Xue
2023 J jnl
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables.
IEEE Trans. Neural Networks Learn. Syst.
Zhanyu Ma, Xiaoou Lu, Jiyang Xie, Zhen Yang, Jing-Hao Xue, Zheng-Hua Tan, Bo Xiao, Jun Guo
2023 J jnl
ReNAP: Relation network with adaptiveprototypical learning for few-shot classification.
Neurocomputing
Xiaoxu Li, Yalan Li, Yixiao Zheng, Rui Zhu, Zhanyu Ma, Jing-Hao Xue, Jie Cao
2023 J jnl
SPL-Net: Spatial-Semantic Patch Learning Network for Facial Attribute Recognition with Limited Labeled Data.
Int. J. Comput. Vis.
Yan Yan, Ying Shu, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang
2023 J jnl
Single-Sample Finger Vein Recognition via Competitive and Progressive Sparse Representation.
IEEE Trans. Biom. Behav. Identity Sci.
Pengyang Zhao, Zhiquan Chen, Jing-Hao Xue, Jianjiang Feng, Wenming Yang, Qingmin Liao, Jie Zhou
2023 J jnl
Spatial-Contextual Discrepancy Information Compensation for GAN Inversion.
CoRR
Ziqiang Zhang, Yan Yan, Jing-Hao Xue, Hanzi Wang
2023 J jnl
Statistical hypothesis testing as a novel perspective of pooling for image quality assessment.
Signal Process. Image Commun.
Rui Zhu, Fei Zhou, Wenming Yang, Jing-Hao Xue
2023 J jnl
TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice.
IEEE Trans. Circuits Syst. Video Technol.
Tianyu Sun, Guodong Zhang, Wenming Yang, Jing-Hao Xue, Guijin Wang
2023 J jnl
The neglected background cues can facilitate finger vein recognition.
Pattern Recognit.
Pengyang Zhao, Shuping Zhao, Jing-Hao Xue, Wenming Yang, Qingmin Liao
2022 J jnl
A Spectral-Spatial Jointed Spectral Super-Resolution and Its Application to HJ-1A Satellite Images.
IEEE Geosci. Remote. Sens. Lett.
Xiaolin Han, Huan Zhang, Jing-Hao Xue, Weidong Sun
2022 J jnl
A Survey on 3D-aware Image Synthesis.
CoRR
Weihao Xia, Jing-Hao Xue
2022 J jnl
ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment.
Neurocomputing
Yurong Ling, Fei Zhou, Kun Guo, Jing-Hao Xue
2022 J jnl
Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition.
Int. J. Comput. Vis.
Delian Ruan, Rongyun Mo, Yan Yan, Si Chen, Jing-Hao Xue, Hanzi Wang
2022 J jnl
Advanced Dropout: A Model-Free Methodology for Bayesian Dropout Optimization.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiyang Xie, Zhanyu Ma, Jianjun Lei, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo
2022 J jnl
Constrained mutual convex cone method for image set based recognition.
Pattern Recognit.
Naoya Sogi, Rui Zhu, Jing-Hao Xue, Kazuhiro Fukui
2022 J jnl
Deep Learning in Lane Marking Detection: A Survey.
IEEE Trans. Intell. Transp. Syst.
Youcheng Zhang, Zongqing Lu, Xuechen Zhang, Jing-Hao Xue, Qingmin Liao
2022 J jnl
Deep Multi-Task Multi-Label CNN for Effective Facial Attribute Classification.
IEEE Trans. Affect. Comput.
Longbiao Mao, Yan Yan, Jing-Hao Xue, Hanzi Wang
2022 J jnl
Defocus Image Deblurring Network With Defocus Map Estimation as Auxiliary Task.
IEEE Trans. Image Process.
Haoyu Ma, Shaojun Liu, Qingmin Liao, Juncheng Zhang, Jing-Hao Xue
2022 A conf
Dimension reduction for high-dimensional small counts with KL divergence.
UAI
Yurong Ling, Jing-Hao Xue
2022 J jnl
Efficient Semantic Segmentation via Self-Attention and Self-Distillation.
IEEE Trans. Intell. Transp. Syst.
Shumin An, Qingmin Liao, Zongqing Lu, Jing-Hao Xue
2022 J jnl
GAN Inversion for Consistent Video Interpolation and Manipulation.
CoRR
Weihao Xia, Yujiu Yang, Jing-Hao Xue
2022 J jnl
GenDet: Meta Learning to Generate Detectors From Few Shots.
IEEE Trans. Neural Networks Learn. Syst.
Liyang Liu, Bochao Wang, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
2022 — conf
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition.
ECCV (19)
Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
2022 J jnl
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition.
CoRR
Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
2022 J jnl
SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem.
IEEE Trans. Image Process.
Song Chen, Jing-Hao Xue, Jianlong Chang, Jianzhong Zhang, Jufeng Yang, Qi Tian
2022 J jnl
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes.
CoRR
Xi Weng, Yan Yan, Si Chen, Jing-Hao Xue, Hanzi Wang
2022 J jnl
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes.
IEEE Trans. Circuits Syst. Video Technol.
Xi Weng, Yan Yan, Si Chen, Jing-Hao Xue, Hanzi Wang
2022 A* conf
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework.
AAAI
Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
2022 J jnl
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework.
CoRR
Xinyi Zou, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
2021 J jnl
3D-TDC: A 3D temporal dilation convolution framework for video action recognition.
Neurocomputing
Yue Ming, Fan Feng, Chao Li, Jing-Hao Xue
2021 J jnl
A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions.
IEEE Trans. Medical Imaging
Yang Dong, Jiachen Wan, Xingjian Wang, Jing-Hao Xue, Jibin Zou, Honghui He, Pengcheng Li, Anli Hou, Hui Ma
2021 J jnl
A concise review of recent few-shot meta-learning methods.
Neurocomputing
Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma
2021 J jnl
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.
CoRR
Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
2021 A conf
Amortized Bayesian Prototype Meta-learning: A New Probabilistic Meta-learning Approach to Few-shot Image Classification.
AISTATS
Zhuo Sun, Jijie Wu, Xiaoxu Li, Wenming Yang, Jing-Hao Xue
2021 J jnl
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification.
IEEE Trans. Image Process.
Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue
2021 A conf
Better Stereo Matching From Simple Yet Effective Wrangling of Deep Features.
ICME
Lei Chen, Zongqing Lu, Qingmin Liao, Jing-Hao Xue
2021 B conf
CLUSAC: Clustering Sample Consensus for Fundamental Matrix Estimation.
ICIP
Xuanyu Xiao, Zongqing Lu, Jing-Hao Xue
2021 J jnl
Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches.
Neurocomputing
Weihao Xia, Yujiu Yang, Jing-Hao Xue
2021 J jnl
Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition.
IEEE Trans. Neural Networks Learn. Syst.
Wanping Zhang, Yongru Chen, Wenming Yang, Guijin Wang, Jing-Hao Xue, Qingmin Liao
2021 J jnl
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition.
IEEE Trans. Image Process.
Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jian Sun, Yinhe Zheng, Jun Guo
2021 J jnl
Deep InterBoost networks for small-sample image classification.
Neurocomputing
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jun Guo
2021 J jnl
Deep Metric Learning for Few-Shot Image Classification: A Selective Review.
CoRR
Xiaoxu Li, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue
2021 J jnl
Dimension Reduction for Data with Heterogeneous Missingness.
CoRR
Yurong Ling, Zijing Liu, Jing-Hao Xue
2021 A conf
Dimension reduction for data with heterogeneous missingness.
UAI
Yurong Ling, Zijing Liu, Jing-Hao Xue
2021 A conf
Disparity Estimation with Scene Depth Cues.
ICME
Lei Chen, Zongqing Lu, Qingmin Liao, Haoyu Ma, Jing-Hao Xue
2021 J jnl
Domain Fingerprints for No-Reference Image Quality Assessment.
IEEE Trans. Circuits Syst. Video Technol.
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Jing Xiao
2021 A* conf
D³Net: Dual-Branch Disturbance Disentangling Network for Facial Expression Recognition.
ACM Multimedia
Rongyun Mo, Yan Yan, Jing-Hao Xue, Si Chen, Hanzi Wang
2021 A conf
EFRNet: A Lightweight Network with Efficient Feature Fusion and Refinement for Real-Time Semantic Segmentation.
ICME
Kuayue Zhang, Qingmin Liao, Juncheng Zhang, Shaojun Liu, Haoyu Ma, Jing-Hao Xue
2021 B conf
Enhance Via Decoupling: Improving Multi-Label Classifiers With Variational Feature Augmentation.
ICIP
Ming Chen, Guijin Wang, Jing-Hao Xue, Zijian Ding, Li Sun
2021 A conf
FETNet: Feature Exchange Transformer Network for RGB-D Object Detection.
BMVC
Zhibin Xiao, Jing-Hao Xue, Pengwei Xie, Guijin Wang
2021 J jnl
GAN Inversion: A Survey.
CoRR
Weihao Xia, Yulun Zhang, Yujiu Yang, Jing-Hao Xue, Bolei Zhou, Ming-Hsuan Yang
2021 J jnl
Generalisations of stochastic supervision models.
Pattern Recognit.
Xiaoou Lu, Yangqi Qiao, Rui Zhu, Guijin Wang, Zhanyu Ma, Jing-Hao Xue
2021 A* conf
Group Fisher Pruning for Practical Network Compression.
ICML
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
2021 J jnl
Group Fisher Pruning for Practical Network Compression.
CoRR
Liyang Liu, Shilong Zhang, Zhanghui Kuang, Aojun Zhou, Jing-Hao Xue, Xinjiang Wang, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
2021 J jnl
Guest Editorial: Special issue on deep learning with small samples.
Neurocomputing
Jing-Hao Xue, Jufeng Yang, Xiaoxu Li, Yan Yan, Yujiu Yang, Zongqing Lu, Zhanyu Ma
2021 B conf
Hourglass Face Detector for Hard Face.
IJCNN
Zijun Yu, Jian Yin, Qiang Zhang, Wenming Yang, Jing-Hao Xue, Qingmin Liao
2021 A* conf
How Video Super-Resolution and Frame Interpolation Mutually Benefit.
ACM Multimedia
Chengcheng Zhou, Zongqing Lu, Linge Li, Qiangyu Yan, Jing-Hao Xue
2021 J jnl
IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection.
IEEE Trans. Neural Networks Learn. Syst.
Liyang Liu, Zhanghui Kuang, Yimin Chen, Jing-Hao Xue, Wenming Yang, Wayne Zhang
2021 A conf
Lane Line Detection based on Parallel Spatial Separation Convolution.
BMVC
Xile Shen, Zongqing Lu, Youcheng Zhang, Jing-Hao Xue
2021 A* conf
Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data.
CVPR
Ying Shu, Yan Yan, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang
2021 J jnl
Mutual-learning sequence-level knowledge distillation for automatic speech recognition.
Neurocomputing
Zerui Li, Yue Ming, Lei Yang, Jing-Hao Xue
2021 J jnl
Non-Local Aggregation for RGB-D Semantic Segmentation.
IEEE Signal Process. Lett.
Guodong Zhang, Jing-Hao Xue, Pengwei Xie, Sifan Yang, Guijin Wang
2021 B conf
Parallax Contextual Representations For Stereo Matching.
ICIP
Hui Deng, Qingmin Liao, Zongqing Lu, Jing-Hao Xue
2021 J jnl
RFRN: A recurrent feature refinement network for accurate and efficient scene text detection.
Neurocomputing
Guanyu Deng, Yue Ming, Jing-Hao Xue
2021 A conf
RGB Guided Depth Map Super-Resolution with Coupled U-Net.
ICME
Yingjie Cui, Qingmin Liao, Wenming Yang, Jing-Hao Xue
2021 J jnl
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification.
IEEE Trans. Circuits Syst. Video Technol.
Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo
2021 J jnl
Ripple-GAN: Lane Line Detection With Ripple Lane Line Detection Network and Wasserstein GAN.
IEEE Trans. Intell. Transp. Syst.
Youcheng Zhang, Zongqing Lu, Dongdong Ma, Jing-Hao Xue, Qingmin Liao
2021 J jnl
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes.
CoRR
Jiacheng Chen, Bin-Bin Gao, Zongqing Lu, Jing-Hao Xue, Chengjie Wang, Qingmin Liao
2021 J jnl
Semantic-Aware Occlusion-Robust Network for Occluded Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol.
Xiaokang Zhang, Yan Yan, Jing-Hao Xue, Yang Hua, Hanzi Wang
2021 — conf
Small-Vote Sample Selection for Label-Noise Learning.
ECML/PKDD (3)
Youze Xu, Yan Yan, Jing-Hao Xue, Yang Lu, Hanzi Wang
2021 J jnl
TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild.
Neurocomputing
Yuanyuan Liu, Jiyao Peng, Jing-Hao Xue, Yongquan Chen, Zhang-Hua Fu
2021 A* conf
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation.
CVPR
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu
2021 A* conf
Towards Impartial Multi-task Learning.
ICLR
Liyang Liu, Yi Li, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang
2021 J jnl
Towards Open-World Text-Guided Face Image Generation and Manipulation.
CoRR
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu
2020 J jnl
A Concise Review of Recent Few-shot Meta-learning Methods.
CoRR
Xiaoxu Li, Zhuo Sun, Jing-Hao Xue, Zhanyu Ma
2020 J jnl
A Novel Separating Hyperplane Classification Framework to Unify Nearest-Class-Model Methods for High-Dimensional Data.
IEEE Trans. Neural Networks Learn. Syst.
Rui Zhu, Ziyu Wang, Naoya Sogi, Kazuhiro Fukui, Jing-Hao Xue
2020 J jnl
Adjusting the imbalance ratio by the dimensionality of imbalanced data.
Pattern Recognit. Lett.
Rui Zhu, Yiwen Guo, Jing-Hao Xue
2020 J jnl
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization.
CoRR
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo
2020 J jnl
An Equalized Margin Loss for Face Recognition.
IEEE Trans. Multim.
Jingna Sun, Wenming Yang, Jing-Hao Xue, Qingmin Liao
2020 J jnl
An α-Matte Boundary Defocus Model-Based Cascaded Network for Multi-Focus Image Fusion.
IEEE Trans. Image Process.
Haoyu Ma, Qingmin Liao, Juncheng Zhang, Shaojun Liu, Jing-Hao Xue
2020 J jnl
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification.
CoRR
Xiaoxu Li, Jijie Wu, Zhuo Sun, Zhanyu Ma, Jie Cao, Jing-Hao Xue
2020 J jnl
Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images.
IEEE Trans. Neural Networks Learn. Syst.
Guijin Wang, Cairong Zhang, Xinghao Chen, Xiangyang Ji, Jing-Hao Xue, Hang Wang
2020 A* conf
Controllable Continuous Gaze Redirection.
ACM Multimedia
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Wensen Feng
2020 J jnl
Controllable Continuous Gaze Redirection.
CoRR
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Wensen Feng
2020 J jnl
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference.
CoRR
Jiyang Xie, Zhanyu Ma, Jing-Hao Xue, Guoqiang Zhang, Jun Guo
2020 J jnl
Data-augmented matched subspace detector for hyperspectral subpixel target detection.
Pattern Recognit.
Xiaochen Yang, Mingzhi Dong, Ziyu Wang, Lianru Gao, Lefei Zhang, Jing-Hao Xue
2020 A* conf
Deep Disturbance-Disentangled Learning for Facial Expression Recognition.
ACM Multimedia
Delian Ruan, Yan Yan, Si Chen, Jing-Hao Xue, Hanzi Wang
2020 J jnl
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification.
CoRR
Longbiao Mao, Yan Yan, Jing-Hao Xue, Hanzi Wang
2020 J jnl
Deep learning for image super-resolution.
Neurocomputing
Wenming Yang, Fei Zhou, Rui Zhu, Kazuhiro Fukui, Guijin Wang, Jing-Hao Xue
2020 J jnl
Defocus map estimation from a single image using improved likelihood feature and edge-based basis.
Pattern Recognit.
Shaojun Liu, Qingmin Liao, Jing-Hao Xue, Fei Zhou
2020 J jnl
Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition.
Pattern Recognit.
Lincon Sales de Souza, Bernardo B. Gatto, Jing-Hao Xue, Kazuhiro Fukui
2020 A* conf
Generalization Bound of Gradient Descent for Non-Convex Metric Learning.
NeurIPS
Mingzhi Dong, Xiaochen Yang, Rui Zhu, Yujiang Wang, Jing-Hao Xue
2020 J jnl
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning.
IEEE Trans. Neural Networks Learn. Syst.
Jing-Hao Xue, Zhanyu Ma, Manuel Roveri, Nathalie Japkowicz
2020 J jnl
Hyperspectral and Multispectral Image Fusion Using Optimized Twin Dictionaries.
IEEE Trans. Image Process.
Xiaolin Han, Jing Yu, Jing-Hao Xue, Weidong Sun
2020 J jnl
Hyperspectral image denoising based on low-rank coefficients and orthonormal dictionary.
Signal Process.
Fanlong Zhang, Guowei Yang, Jing-Hao Xue
2020 J jnl
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
IEEE Trans. Neural Networks Learn. Syst.
Zhanyu Ma, Jiyang Xie, Yuping Lai, Jalil Taghia, Jing-Hao Xue, Jun Guo
2020 J jnl
Inter-class angular margin loss for face recognition.
Signal Process. Image Commun.
Jingna Sun, Wenming Yang, Riqiang Gao, Jing-Hao Xue, Qingmin Liao
2020 J jnl
LCSCNet: Linear Compressing-Based Skip-Connecting Network for Image Super-Resolution.
IEEE Trans. Image Process.
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
2020 J jnl
Learning Local Metrics and Influential Regions for Classification.
IEEE Trans. Pattern Anal. Mach. Intell.
Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue
2020 A conf
Lightweight Single Image Super-Resolution Through Efficient Second-Order Attention Spindle Network.
ICME
Yiyun Chen, Yihong Chen, Jing-Hao Xue, Wenming Yang, Qingmin Liao
2020 — conf
Metric Learning for Categorical and Ambiguous Features: An Adversarial Method.
ECML/PKDD (2)
Xiaochen Yang, Mingzhi Dong, Yiwen Guo, Jing-Hao Xue
2020 J jnl
OSLNet: Deep Small-Sample Classification With an Orthogonal Softmax Layer.
IEEE Trans. Image Process.
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo
2020 J jnl
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer.
CoRR
Xiaoxu Li, Dongliang Chang, Zhanyu Ma, Zheng-Hua Tan, Jing-Hao Xue, Jie Cao, Jingyi Yu, Jun Guo
2020 J jnl
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification.
CoRR
Xiaoxu Li, Liyun Yu, Xiaochen Yang, Zhanyu Ma, Jing-Hao Xue, Jie Cao, Jun Guo
2020 J jnl
Real-MFF Dataset: A Large Realistic Multi-focus Image Dataset with Ground Truth.
CoRR
Juncheng Zhang, Qingmin Liao, Shaojun Liu, Haoyu Ma, Wenming Yang, Jing-Hao Xue
2020 J jnl
Real-MFF: A large realistic multi-focus image dataset with ground truth.
Pattern Recognit. Lett.
Juncheng Zhang, Qingmin Liao, Shaojun Liu, Haoyu Ma, Wenming Yang, Jing-Hao Xue
2020 J jnl
Special Issue on Advances in Statistical Methods-based Visual Quality Assessment.
Signal Process. Image Commun.
Fei Zhou, Wenming Yang, Xinbo Gao, Hantao Liu, Rui Zhu, Jing-Hao Xue
2020 J jnl
TediGAN: Text-Guided Diverse Image Generation and Manipulation.
CoRR
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu
2020 J jnl
Towards Certified Robustness of Metric Learning.
CoRR
Xiaochen Yang, Yiwen Guo, Mingzhi Dong, Jing-Hao Xue
2020 J jnl
Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement.
Neural Networks
Weihao Xia, Yujiu Yang, Jing-Hao Xue
2020 J jnl
XSepConv: Extremely Separated Convolution.
CoRR
Jiarong Chen, Zongqing Lu, Jing-Hao Xue, Qingmin Liao
2019 A conf
A New Approach to Automatic Clothing Matting from Mannequins.
ICME
Bin Yuan, Zongqing Lu, Jing-Hao Xue, Qingmin Liao
2019 A conf
A New Object Scene Flow Algorithm Based on Support Points Selection and Robust Moving Object Proposal.
ICME
Zhengyang Sun, Zongqing Lu, Jing-Hao Xue, Qingmin Liao
2019 A conf
A New Rotation-Invariant Deep Network for 3D Object Recognition.
ICME
Yachi Zhang, Zongqing Lu, Jing-Hao Xue, Qingmin Liao
2019 J jnl
A hybrid finger identification pattern using Polarized depth-Weighted Binary Direction Coding.
Neurocomputing
Wenming Yang, Wenyang Ji, Jing-Hao Xue, Yong Ren, Qingmin Liao
2019 J jnl
Bi-stream Pose Guided Region Ensemble Network for Fingertip Localization from Stereo Images.
CoRR
Guijin Wang, Cairong Zhang, Xinghao Chen, Xiangyang Ji, Jing-Hao Xue, Hang Wang
2019 J jnl
Cali-Sketch: Stroke Calibration and Completion for High-Quality Face Image Generation from Poorly-Drawn Sketches.
CoRR
Weihao Xia, Yujiu Yang, Jing-Hao Xue
2019 J jnl
Constrained Mutual Convex Cone Method for Image Set Based Recognition.
CoRR
Naoya Sogi, Rui Zhu, Jing-Hao Xue, Kazuhiro Fukui
2019 J jnl
Deep Learning for Single Image Super-Resolution: A Brief Review.
IEEE Trans. Multim.
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
2019 J jnl
Discriminant analysis based on projection onto generalized difference subspace.
CoRR
Kazuhiro Fukui, Naoya Sogi, Takumi Kobayashi, Jing-Hao Xue, Atsuto Maki
2019 J jnl
Domain-Aware No-Reference Image Quality Assessment.
CoRR
Weihao Xia, Yujiu Yang, Jing-Hao Xue, Jing Xiao
2019 J jnl
FV-GAN: Finger Vein Representation Using Generative Adversarial Networks.
IEEE Trans. Inf. Forensics Secur.
Wenming Yang, Changqing Hui, Zhiquan Chen, Jing-Hao Xue, Qingmin Liao
2019 J jnl
Image-text dual neural network with decision strategy for small-sample image classification.
Neurocomputing
Fangyi Zhu, Zhanyu Ma, Xiaoxu Li, Guang Chen, Jen-Tzung Chien, Jing-Hao Xue, Jun Guo
2019 J jnl
LCSCNet: Linear Compressing Based Skip-Connecting Network for Image Super-Resolution.
CoRR
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue, Qingmin Liao
2019 J jnl
Learning distance to subspace for the nearest subspace methods in high-dimensional data classification.
Inf. Sci.
Rui Zhu, Mingzhi Dong, Jing-Hao Xue
2019 J jnl
MSDH: Matched subspace detector with heterogeneous noise.
Pattern Recognit. Lett.
Xiaochen Yang, Lefei Zhang, Lianru Gao, Jing-Hao Xue
2019 A conf
Residual Dilated Network with Attention for Image Blind Denoising.
ICME
Guanqun Hou, Yujiu Yang, Jing-Hao Xue
2019 — conf
Soft Dropout And Its Variational Bayes Approximation.
MLSP
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Zheng-Hua Tan, Jun Guo
2019 J jnl
Unsupervised Multi-Domain Multimodal Image-to-Image Translation with Explicit Domain-Constrained Disentanglement.
CoRR
Weihao Xia, Yujiu Yang, Jing-Hao Xue
2018 J jnl
BALSON: Bayesian Least Squares Optimization with Nonnegative L1-Norm Constraint.
CoRR
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo
2018 — conf
Balson: Bayesian least squares Optimization with Nonnegative L1-norm Constraint.
MLSP
Jiyang Xie, Zhanyu Ma, Guoqiang Zhang, Jing-Hao Xue, Jen-Tzung Chien, Zhiqing Lin, Jun Guo
2018 J jnl
Cone-based joint sparse modelling for hyperspectral image classification.
Signal Process.
Ziyu Wang, Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue
2018 J jnl
Decorrelation of Neutral Vector Variables: Theory and Applications.
IEEE Trans. Neural Networks Learn. Syst.
Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo
2018 J jnl
Deep Learning for Single Image Super-Resolution: A Brief Review.
CoRR
Wenming Yang, Xuechen Zhang, Yapeng Tian, Wei Wang, Jing-Hao Xue
2018 J jnl
Discriminatively guided filtering (DGF) for hyperspectral image classification.
Neurocomputing
Ziyu Wang, Huafeng Hu, Lefei Zhang, Jing-Hao Xue
2018 J jnl
LRID: A new metric of multi-class imbalance degree based on likelihood-ratio test.
Pattern Recognit. Lett.
Rui Zhu, Ziyu Wang, Zhanyu Ma, Guijin Wang, Jing-Hao Xue
2018 J jnl
Learning Local Metrics and Influential Regions for Classification.
CoRR
Mingzhi Dong, Yujiang Wang, Xiaochen Yang, Jing-Hao Xue
2018 J jnl
Matched shrunken subspace detectors for hyperspectral target detection.
Neurocomputing
Ziyu Wang, Jing-Hao Xue
2018 J jnl
Metric Learning via Maximizing the Lipschitz Margin Ratio.
CoRR
Mingzhi Dong, Xiaochen Yang, Yang Wu, Jing-Hao Xue
2018 J jnl
MvSSIM: A quality assessment index for hyperspectral images.
Neurocomputing
Rui Zhu, Fei Zhou, Jing-Hao Xue
2018 J jnl
No-reference image quality assessment for photographic images based on robust statistics.
Neurocomputing
Zhengda Zeng, Wenming Yang, Wen Sun, Jing-Hao Xue, Qingmin Liao
2018 J jnl
On Hypothesis Testing for Comparing Image Quality Assessment Metrics [Tips & Tricks].
IEEE Signal Process. Mag.
Rui Zhu, Fei Zhou, Wenming Yang, Jing-Hao Xue
2018 J jnl
SEA: A Combined Model for Heat Demand Prediction.
CoRR
Jiyang Xie, Jiaxin Guo, Zhanyu Ma, Jing-Hao Xue, Qie Sun, Hailong Li, Jun Guo
2018 J jnl
SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment.
IEEE Trans. Image Process.
Wen Sun, Qingmin Liao, Jing-Hao Xue, Fei Zhou
2018 — conf
Spatial-Temporal Attention Res-TCN for Skeleton-Based Dynamic Hand Gesture Recognition.
ECCV Workshops (6)
Jingxuan Hou, Guijin Wang, Xinghao Chen, Jing-Hao Xue, Rui Zhu, Huazhong Yang
2018 Misc conf
Spectral Super-resolution for RGB Images using Class-based BP Neural Networks.
DICTA
Xiaolin Han, Jing Yu, Jing-Hao Xue, Weidong Sun
2017 J jnl
Building a discriminatively ordered subspace on the generating matrix to classify high-dimensional spectral data.
Inf. Sci.
Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue
2017 J jnl
Decorrelation of Neutral Vector Variables: Theory and Applications.
CoRR
Zhanyu Ma, Jing-Hao Xue, Arne Leijon, Zheng-Hua Tan, Zhen Yang, Jun Guo
2017 J jnl
Joint sparse model-based discriminative K-SVD for hyperspectral image classification.
Signal Process.
Ziyu Wang, Jianxiong Liu, Jing-Hao Xue
2017 J jnl
Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection.
IEEE Trans. Image Process.
Ziyu Wang, Rui Zhu, Kazuhiro Fukui, Jing-Hao Xue
2017 J jnl
On the orthogonal distance to class subspaces for high-dimensional data classification.
Inf. Sci.
Rui Zhu, Jing-Hao Xue
2017 J jnl
Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions.
IEEE Trans. Image Process.
Jérôme Lapuyade-Lahorgue, Jing-Hao Xue, Su Ruan
2017 J jnl
The matched subspace detector with interaction effects.
Pattern Recognit.
Ziyu Wang, Jing-Hao Xue
2017 B conf
Transferring CNNS to multi-instance multi-label classification on small datasets.
ICIP
Mingzhi Dong, Kunkun Pang, Yang Wu, Jing-Hao Xue, Timothy M. Hospedales, Tsukasa Ogasawara
2017 J jnl
What is the probability of replicating a statistically significant association in genome-wide association studies?
Briefings Bioinform.
Wei Jiang, Jing-Hao Xue, Weichuan Yu
2016 J jnl
A novel hierarchical framework for human action recognition.
Pattern Recognit.
Hongzhao Chen, Guijin Wang, Jing-Hao Xue, Li He
2016 J jnl
Combining multiple biometric traits with an order-preserving score fusion algorithm.
Neurocomputing
Yicong Liang, Xiaoqing Ding, Changsong Liu, Jing-Hao Xue
2016 J jnl
Denoising of Hyperspectral Images Using Group Low-Rank Representation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Mengdi Wang, Jing Yu, Jing-Hao Xue, Weidong Sun
2016 J jnl
Latent variable pictorial structure for human pose estimation on depth images.
Neurocomputing
Li He, Guijin Wang, Qingmin Liao, Jing-Hao Xue
2016 J jnl
Randomized time warping for motion recognition.
Image Vis. Comput.
Chendra Hadi Suryanto, Jing-Hao Xue, Kazuhiro Fukui
2016 J jnl
Sufficient Canonical Correlation Analysis.
IEEE Trans. Image Process.
Yiwen Guo, Xiaoqing Ding, Changsong Liu, Jing-Hao Xue
2015 J jnl
Advanced Joint Bayesian Method for Face Verification.
IEEE Trans. Inf. Forensics Secur.
Yicong Liang, Xiaoqing Ding, Jing-Hao Xue
2015 J jnl
Depth-images-based pose estimation using regression forests and graphical models.
Neurocomputing
Li He, Guijin Wang, Qingmin Liao, Jing-Hao Xue
2015 J jnl
Embedding metric learning into set-based face recognition for video surveillance.
Neurocomputing
Guijin Wang, Fei Zheng, Chenbo Shi, Jing-Hao Xue, Chunxiao Liu, Li He
2015 J jnl
MiLDA: A graph embedding approach to multi-view face recognition.
Neurocomputing
Yiwen Guo, Xiaoqing Ding, Jing-Hao Xue
2015 J jnl
Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Rui Zhu, Mingzhi Dong, Jing-Hao Xue
2015 J jnl
Subcategory Clustering with Latent Feature Alignment and Filtering for Object Detection.
IEEE Signal Process. Lett.
Zhiwei Ruan, Guijin Wang, Jing-Hao Xue, Xinggang Lin
2015 J jnl
Why Does Rebalancing Class-Unbalanced Data Improve AUC for Linear Discriminant Analysis?
IEEE Trans. Pattern Anal. Mach. Intell.
Jing-Hao Xue, Peter Hall
2014 J jnl
Deformable Part-Based Model Transfer for Object Detection.
IEICE Trans. Inf. Syst.
Zhiwei Ruan, Guijin Wang, Xinggang Lin, Jing-Hao Xue, Yong Jiang
2014 J jnl
Detection of user-registered dog faces.
Neurocomputing
Zhiwei Ruan, Guijin Wang, Jing-Hao Xue, Xinggang Lin, Yong Jiang
2014 J jnl
Fisher's linear discriminant embedded metric learning.
Neurocomputing
Yiwen Guo, Xiaoqing Ding, Chi Fang, Jing-Hao Xue
2014 J jnl
On selecting interacting features from high-dimensional data.
Comput. Stat. Data Anal.
Peter Hall, Jing-Hao Xue
2012 J jnl
Ridler and Calvard's, Kittler and Illingworth's and Otsu's methods for image thresholding.
Pattern Recognit. Lett.
Jing-Hao Xue, Yu-Jin Zhang
2011 J jnl
Median-based image thresholding.
Image Vis. Comput.
Jing-Hao Xue, D. M. Titterington
2011 J jnl
t -Tests, F -Tests and Otsu's Methods for Image Thresholding.
IEEE Trans. Image Process.
Jing-Hao Xue, D. Mike Titterington
2010 J jnl
Joint discriminative-generative modelling based on statistical tests for classification.
Pattern Recognit. Lett.
Jing-Hao Xue, D. Mike Titterington
2010 J jnl
On the generative-discriminative tradeoff approach: Interpretation, asymptotic efficiency and classification performance.
Comput. Stat. Data Anal.
Jing-Hao Xue, D. M. Titterington
2009 J jnl
Interpretation of hybrid generative/discriminative algorithms.
Neurocomputing
Jing-Hao Xue, D. Mike Titterington
2008 J jnl
Comment on "On Discriminative vs. Generative Classifiers: A Comparison of Logistic Regression and Naive Bayes".
Neural Process. Lett.
Jing-Hao Xue, D. M. Titterington
2008 J jnl
Do unbalanced data have a negative effect on LDA?
Pattern Recognit.
Jing-Hao Xue, D. Mike Titterington
2008 J jnl
Short note on two output-dependent hidden Markov models.
Pattern Recognit. Lett.
Jing-Hao Xue, D. M. Titterington
2005 J jnl
Making XML document markup international.
Softw. Pract. Exp.
Yijun Yu, Jianguo Lu, John Mylopoulos, Weiwei Sun, Jing-Hao Xue, Erik H. D'Hollander
2003 J jnl
An integrated method of adaptive enhancement for unsupervised segmentation of MRI brain images.
Pattern Recognit. Lett.
Jing-Hao Xue, Aleksandra Pizurica, Wilfried Philips, Etienne E. Kerre, Rik Van de Walle, Ignace Lemahieu
2003 — conf
Localizing XML Documents through XSLT.
Applied Informatics
Yijun Yu, Jianguo Lu, Jing-Hao Xue, Yi Zhang, Weiwei Sun
2001 Misc conf
A novel method for adaptive enhancement and unsupervised segmentation of MRI brain image.
ICASSP
Jing-Hao Xue, Wilfried Philips, Aleksandra Pizurica, Ignace Lemahieu
2001 J jnl
Knowledge-based segmentation and labeling of brain structures from MRI images.
Pattern Recognit. Lett.
Jing-Hao Xue, Su Ruan, Bruno Moretti, Marinette Revenu, Daniel Bloyet
2000 J jnl
Brain Tissue Classification of Magnetic Resonance Images Using Partial Volume Modeling.
IEEE Trans. Medical Imaging
Su Ruan, Cyril Jaggi, Jing-Hao Xue, Mohamed-Jalal Fadili, Daniel Bloyet
2000 B conf
Fuzzy Modeling of Knowledge for MRI Brain Structure Segmentation.
ICIP
Jing-Hao Xue, Su Ruan, Bruno Moretti, Marinette Revenu, Daniel Bloyet, Wilfried Philips
2000 B conf
Unsupervised Segmentation of Three-Dimensional Brain Images.
ICPR
Su Ruan, Mohamed-Jalal Fadili, Daniel Bloyet, Jing-Hao Xue