Browse by UCL people
Group by: Type | Date
Number of items: 159.
Article
An, S;
Liao, Q;
Lu, Z;
Xue, J-H;
(2022)
Efficient Semantic Segmentation via Self-Attention and Self-Distillation.
IEEE Transactions on Intelligent Transportation Systems
10.1109/tits.2021.3139001.
(In press).
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An, Shumin;
Liao, Qingmin;
Lu, Zongqing;
Xue, Jing-Hao;
(2023)
Dual Correlation Network for Efficient Video Semantic Segmentation.
IEEE Transactions on Circuits and Systems for Video Technology
10.1109/tcsvt.2023.3298644.
(In press).
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Chen, Jiacheng;
Gao, Bin-Bin;
Lu, Zongqing;
Xue, Jing-Hao;
Wang, Chengjie;
Liao, Qingmin;
(2022)
APANet: Adaptive Prototypes Alignment Network for Few-Shot Semantic Segmentation.
IEEE Transactions on Multimedia
10.1109/tmm.2022.3174405.
(In press).
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Chen, S;
Xue, J-H;
Chang, J;
Zhang, J;
Yang, J;
Tian, Q;
(2021)
SSL++: Improving Self-supervised Learning by Mitigating the Proxy Task-Specificity Problem.
IEEE Transactions on Image Processing
10.1109/TIP.2021.3135470.
(In press).
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Chen, H;
Wang, G;
Xue, J-H;
He, L;
(2016)
A Novel Hierarchical Framework for Human Action Recognition.
Pattern Recognition
, 55
pp. 148-159.
10.1016/j.patcog.2016.01.020.
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Deng, G;
Ming, Y;
Xue, J-H;
(2021)
RFRN: A recurrent feature refinement network for accurate and efficient scene text detection.
Neurocomputing
, 453
pp. 465-481.
10.1016/j.neucom.2020.10.099.
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Dong, M;
Wang, Y;
Yang, X;
Xue, J-H;
(2019)
Learning Local Metrics and Influential Regions for Classification.
IEEE Transactions on Pattern Analysis and Machine Intelligence
10.1109/tpami.2019.2914899.
(In press).
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Dong, Y;
Wan, J;
Wang, X;
Xue, JH;
Zou, J;
He, H;
Li, P;
... Ma, H; + view all
(2021)
A Polarization-Imaging-Based Machine Learning Framework for Quantitative Pathological Diagnosis of Cervical Precancerous Lesions.
IEEE Transactions on Medical Imaging
10.1109/TMI.2021.3097200.
(In press).
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Fukui, Kazuhiro;
Sogi, Naoya;
Kobayashi, Takumi;
Xue, Jing-Hao;
Maki, Atsuto;
(2022)
Discriminant feature extraction by generalized difference subspace.
IEEE Transactions on Pattern Analysis and Machine Intelligence
10.1109/tpami.2022.3168557.
(In press).
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Guo, Y;
Ding, X;
Liu, C;
Xue, J-H;
(2016)
Sufficient Canonical Correlation Analysis.
IEEE Transactions on Image Processing
, 25
(6)
pp. 2610-2619.
10.1109/TIP.2016.2551374.
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Hall, P;
Xue, J-H;
(2014)
On selecting interacting features from high-dimensional data.
Computational Statistics & Data Analysis
, 71
pp. 694-708.
10.1016/j.csda.2012.10.010.
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Han, X;
Yu, J;
Xue, J-H;
Sun, W;
(2020)
Hyperspectral and Multispectral Image Fusion using Optimized Twin Dictionaries.
IEEE Transactions on Image Processing
10.1109/tip.2020.2968773.
(In press).
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Han, X;
Zhang, H;
Xue, J-H;
Sun, W;
(2021)
A Spectral-Spatial Jointed Spectral Super-Resolution and Its Application to HJ-1A Satellite Images.
IEEE Geoscience and Remote Sensing Letters
10.1109/lgrs.2021.3073501.
(In press).
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He, L;
Wang, G;
Liao, Q;
Xue, J-H;
(2016)
Latent variable pictorial structure for human pose estimation on depth images.
Neurocomputing
, 203
pp. 52-61.
10.1016/j.neucom.2016.04.009.
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Huang, J;
Gómez-Dans, JL;
Huang, H;
Ma, H;
Wu, Q;
Lewis, PE;
Liang, S;
... Xie, X; + view all
(2019)
Assimilation of remote sensing into crop growth models: Current status and perspectives.
Agricultural and Forest Meteorology
, 276
, Article 107609. 10.1016/j.agrformet.2019.06.008.
(In press).
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Jiang, Runqing;
Yan, Yan;
Xue, Jing-Hao;
Chen, Si;
Wang, Nannan;
Wang, Hanzi;
(2023)
Knowledge Distillation Meets Label Noise Learning: Ambiguity-Guided Mutual Label Refinery.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/tnnls.2023.3335829.
(In press).
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Jiang, Runqing;
Yan, Yan;
Xue, Jing-Hao;
Wang, Biao;
Wang, Hanzi;
(2022)
When Sparse Neural Network Meets Label Noise Learning: A Multistage Learning Framework.
IEEE Transactions on Neural Networks and Learning Systems
pp. 1-15.
10.1109/tnnls.2022.3188799.
(In press).
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Jiang, W;
Xue, J-H;
Yu, W;
(2016)
What is the probability of replicating a statistically significant association in genome-wide association studies?
Briefings in Bioinformatics
, 18
(6)
pp. 928-939.
10.1093/bib/bbw091.
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Lapuyade-Lahorgue, J;
Xue, J-H;
Ruan, S;
(2017)
Segmenting Multi-Source Images Using Hidden Markov Fields With Copula-Based Multivariate Statistical Distributions.
IEEE Transactions on Image Processing
, 26
(7)
pp. 3187-3195.
10.1109/TIP.2017.2685345.
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Li, X;
Chang, D;
Ma, Z;
Tan, Z-H;
Xue, J;
Cao, J;
Guo, J;
(2021)
Deep InterBoost networks for small-sample image classification.
Neurocomputing
, 456
pp. 492-503.
10.1016/j.neucom.2020.06.135.
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Li, X;
Sun, Z;
Xue, J;
Ma, Z;
(2021)
A concise review of recent few-shot meta-learning methods.
Neurocomputing
, 456
pp. 463-468.
10.1016/j.neucom.2020.05.114.
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Li, Xiaoxu;
Li, Yalan;
Zheng, Yixiao;
Zhu, Rui;
Ma, Zhanyu;
Xue, Jing-Hao;
Cao, Jie;
(2023)
ReNAP: Relation network with adaptiveprototypical learning for few-shot classification.
Neurocomputing
, 520
pp. 356-364.
10.1016/j.neucom.2022.11.082.
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Li, Xiaoxu;
Song, Qi;
Wu, Jijie;
Zhu, Rui;
Ma, Zhanyu;
Xue, Jing-Hao;
(2023)
Locally-Enriched Cross-Reconstruction for Few-Shot Fine-Grained Image Classification.
IEEE Transactions on Circuits and Systems for Video Technology
10.1109/tcsvt.2023.3275382.
(In press).
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Li, Xiaoxu;
Yang, Xiaochen;
Ma, Zhanyu;
Xue, Jing-Hao;
(2023)
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments.
Pattern Recognition
, 138
, Article 109381. 10.1016/j.patcog.2023.109381.
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Li, Z;
Ming, Y;
Yang, L;
Xue, J-H;
(2021)
Mutual-learning sequence-level knowledge distillation for automatic speech recognition.
Neurocomputing
, 428
pp. 259-267.
10.1016/j.neucom.2020.11.025.
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Li, X;
Li, X;
Chang, D;
Ma, Z;
Tan, Z-H;
Xue, J-H;
Cao, J;
... Guo, J; + view all
(2020)
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer.
IEEE Transactions on Image Processing
10.1109/tip.2020.2990277.
(In press).
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Li, X;
Wu, J;
Sun, Z;
Ma, Z;
Cao, J;
Xue, J-H;
(2020)
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification.
IEEE Transactions on Image Processing
10.1109/tip.2020.3043128.
(In press).
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Li, X;
Yu, L;
Yang, X;
Ma, Z;
Xue, J-H;
Cao, J;
Guo, J;
(2020)
ReMarNet: Conjoint Relation and Margin Learning for Small-Sample Image Classification.
IEEE Transactions on Circuits and Systems for Video Technology
10.1109/tcsvt.2020.3005807.
(In press).
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Liang, Y;
Ding, X;
Liu, C;
Xue, J-H;
(2016)
Combining multiple biometric traits with an order-preserving score fusion algorithm.
Neurocomputing
, 171
pp. 252-261.
10.1016/j.neucom.2015.06.039.
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Ling, Y;
Zhou, F;
Guo, K;
Xue, J-H;
(2022)
ASSP: An adaptive sample statistics-based pooling for full-reference image quality assessment.
Neurocomputing
, 493
pp. 568-582.
10.1016/j.neucom.2021.12.098.
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Ling, Yurong;
Liu, Zijing;
Xue, Jing-Hao;
(2022)
Survival Analysis of High-Dimensional Data With Graph Convolutional Networks and Geometric Graphs.
IEEE Transactions on Neural Networks and Learning Systems
pp. 1-11.
10.1109/TNNLS.2022.3190321.
(In press).
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Liu, Y;
Peng, J;
Xue, J-H;
Chen, Y;
Fu, Z-H;
(2021)
TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild.
Neurocomputing
, 447
pp. 10-22.
10.1016/j.neucom.2021.03.049.
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Liu, L;
Kuang, Z;
Chen, Y;
Xue, J-H;
Yang, W;
Zhang, W;
(2020)
IncDet: In Defense of Elastic Weight Consolidation for Incremental Object Detection.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/tnnls.2020.3002583.
(In press).
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Liu, L;
Wang, B;
Kuang, Z;
Xue, J-H;
Chen, Y;
Yang, W;
Liao, Q;
(2021)
GenDet: Meta Learning to Generate Detectors From Few Shots.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/tnnls.2021.3053005.
(In press).
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Liu, S;
Liao, Q;
Xue, J-H;
Zhou, F;
(2020)
Defocus map estimation from a single image using improved likelihood feature and edge-based basis.
Pattern Recognition
, 107
, Article 107485. 10.1016/j.patcog.2020.107485.
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Lu, X;
Qiao, Y;
Zhu, R;
Wang, G;
Ma, Z;
Xue, J-H;
(2021)
Generalisations of stochastic supervision models.
Pattern Recognition
, 109
, Article 107575. 10.1016/j.patcog.2020.107575.
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Lv, Yuanling;
Huang, Guangyu;
Yan, Yan;
Xue, Jing-Hao;
Chen, Si;
Wang, Hanzi;
(2024)
Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition.
IEEE Transactions on Multimedia
10.1109/tmm.2024.3374573.
(In press).
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Lv, Yuanling;
Yan, Yan;
Xue, Jing-Hao;
Chen, Si;
Wang, Hanzi;
(2024)
Relationship-Guided Knowledge Transfer for Class-Incremental Facial Expression Recognition.
IEEE Transactions on Image Processing
, 33
pp. 2293-2304.
10.1109/tip.2024.3374116.
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Ma, H;
Liu, S;
Liao, Q;
Zhang, J;
Xue, J-H;
(2021)
Defocus Image Deblurring Network with Defocus Map Estimation as Auxiliary Task.
IEEE Transactions on Image Processing
10.1109/tip.2021.3127850.
(In press).
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Ma, H;
Liao, Q;
Zhang, J;
Liu, S;
Xue, J-H;
(2020)
An α-Matte Boundary Defocus Model-Based Cascaded Network for Multi-Focus Image Fusion.
IEEE Transactions on Image Processing
, 29
pp. 8668-8679.
10.1109/tip.2020.3018261.
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Ma, Z;
Lu, X;
Xie, J;
Yang, Z;
Xue, J-H;
Tan, Z-H;
Xiao, B;
(2020)
On the Comparisons of Decorrelation Approaches for Non-Gaussian Neutral Vector Variables.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/tnnls.2020.2978858.
(In press).
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Ma, Z;
Xie, J;
Lai, Y;
Taghia, J;
Xue, J-H;
Guo, J;
(2019)
Insights Into Multiple/Single Lower Bound Approximation for Extended Variational Inference in Non-Gaussian Structured Data Modeling.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/tnnls.2019.2899613.
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Ma, Z;
Xue, J-H;
Leijon, A;
Tan, Z-H;
Yang, Z;
Guo, J;
(2016)
Decorrelation of Neutral Vector Variables: Theory and Applications.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/TNNLS.2016.2616445.
(In press).
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Mao, L;
Yan, Y;
Xue, J-H;
Wang, H;
(2020)
Deep Multi-task Multi-label CNN for Effective Facial Attribute Classification.
IEEE Transactions on Affective Computing
10.1109/taffc.2020.2969189.
(In press).
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Ming, Y;
Feng, F;
Li, C;
Xue, J-H;
(2021)
3D-TDC: A 3D temporal dilation convolution framework for video action recognition.
Neurocomputing
, 450
pp. 362-371.
10.1016/j.neucom.2021.03.120.
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Myung, Woomin;
Su, Nan;
Xue, Jing-Hao;
Wang, Guijin;
(2024)
DeGCN: Deformable Graph Convolutional Networks for Skeleton-Based Action Recognition.
IEEE Transactions on Image Processing
10.1109/tip.2024.3378886.
(In press).
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Ruan, D;
Mo, R;
Yan, Y;
Chen, S;
Xue, J-H;
Wang, H;
(2022)
Adaptive Deep Disturbance-Disentangled Learning for Facial Expression Recognition.
International Journal of Computer Vision
, 130
pp. 455-477.
10.1007/s11263-021-01556-7.
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Sogi, N;
Zhu, R;
Xue, J-H;
Fukui, K;
(2022)
Constrained mutual convex cone method for image set based recognition.
Pattern Recognition
, 121
, Article 108190. 10.1016/j.patcog.2021.108190.
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Souza, LS;
Gatto, BB;
Xue, J-H;
Fukui, K;
(2020)
Enhanced Grassmann discriminant analysis with randomized time warping for motion recognition.
Pattern Recognition
, 97
, Article 107028. 10.1016/j.patcog.2019.107028.
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Sun, Tianyu;
Zhang, Guodong;
Yang, Wenming;
Xue, Jing-Hao;
Wang, Guijin;
(2023)
TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice.
IEEE Transactions on Circuits and Systems for Video Technology
10.1109/tcsvt.2023.3254665.
(In press).
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Sun, J;
Yang, W;
Xue, J-H;
Liao, Q;
(2020)
An Equalized Margin Loss for Face Recognition.
IEEE Transactions on Multimedia
10.1109/tmm.2020.2966863.
(In press).
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Sun, W;
Liao, Q;
Xue, JH;
Zhou, F;
(2018)
SPSIM: A Superpixel-Based Similarity Index for Full-Reference Image Quality Assessment.
IEEE Transactions on Image Processing
, 27
(9)
pp. 4232-4244.
10.1109/TIP.2018.2837341.
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Suryanto, CH;
Xue, J-H;
Fukui, K;
(2016)
Randomized time warping for motion recognition.
Image and Vision Computing
, 54
pp. 1-11.
10.1016/j.imavis.2016.07.003.
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Tao, Wancheng;
Wang, Xinsheng;
Xue, Jing‐Hao;
Su, Wei;
Zhang, Mingzheng;
Yin, Dongqin;
Zhu, Dehai;
... Zhang, Ying; + view all
(2022)
Monitoring the damage of armyworm as a pest in summer corn by unmanned aerial vehicle imaging.
Pest Management Science
, 78
(6)
pp. 2265-2276.
10.1002/ps.6852.
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Wan, Jiachen;
Dong, Yang;
Xue, Jing-Hao;
Lin, Liyan;
Du, Shan;
Dong, Jia;
Yao, Yue;
... Ma, Hui; + view all
(2022)
Polarization-based probabilistic discriminative model for quantitative characterization of cancer cells.
Biomedical Optics Express
, 13
(6)
pp. 3339-3354.
10.1364/boe.456649.
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Wan, Jiachen;
Dong, Yang;
Yao, Yue;
Xiao, Weijin;
Huang, Ruqi;
Xue, Jing-Hao;
Peng, Ran;
... Ma, Hui; + view all
(2023)
Unsupervised learning of pixel clustering in Mueller matrix images for mapping microstructural features in pathological tissues.
Communications Engineering
, 2
(1)
, Article 88. 10.1038/s44172-023-00136-6.
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Wang, G;
Zhang, C;
Chen, X;
Ji, X;
Xue, J-H;
Wang, H;
(2020)
Bi-Stream Pose-Guided Region Ensemble Network for Fingertip Localization From Stereo Images.
IEEE Transactions on Neural Networks and Learning Systems
10.1109/tnnls.2020.2964037.
(In press).
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Wang, M;
Yu, J;
Xue, J-H;
Sun, W;
(2016)
Denoising of Hyperspectral Images Using Group Low-Rank Representation.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
, 9
(9)
pp. 4420-4427.
10.1109/JSTARS.2016.2531178.
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Wang, Z;
Hu, H;
Zhang, L;
Xue, J-H;
(2018)
Discriminatively guided filtering (DGF) for hyperspectral image classification.
Neurocomputing
, 275
pp. 1981-1987.
10.1016/j.neucom.2017.10.046.
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Wang, Z;
Liu, J;
Xue, J-H;
(2017)
Joint sparse model-based discriminative K-SVD for hyperspectral image classification.
Signal Processing
, 133
(C)
pp. 144-155.
10.1016/j.sigpro.2016.10.022.
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Wang, Z;
Xue, J-H;
(2018)
Matched shrunken subspace detectors for hyperspectral target detection.
Neurocomputing
, 272
pp. 226-236.
10.1016/j.neucom.2017.06.068.
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Wang, Z;
Xue, J-H;
(2017)
The matched subspace detector with interaction effects.
Pattern Recognition
, 68
(C)
pp. 24-37.
10.1016/j.patcog.2017.03.002.
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Wang, Z;
Zhu, R;
Fukui, K;
Xue, J-H;
(2018)
Cone-based Joint Sparse Modelling for Hyperspectral Image Classification.
Signal Processing
, 144
pp. 417-429.
10.1016/j.sigpro.2017.11.001.
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Wang, Z;
Zhu, R;
Fukui, K;
Xue, J-H;
(2017)
Matched Shrunken Cone Detector (MSCD): Bayesian Derivations and Case Studies for Hyperspectral Target Detection.
IEEE Transactions on Image Processing
, 26
(11)
pp. 5447-5461.
10.1109/TIP.2017.2740621.
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Weng, X;
Yan, Y;
Chen, S;
Xue, J-H;
Wang, H;
(2021)
Stage-Aware Feature Alignment Network for Real-Time Semantic Segmentation of Street Scenes.
IEEE Transactions on Circuits and Systems for Video Technology
p. 1.
10.1109/tcsvt.2021.3121680.
(In press).
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Wu, Wenxiao;
Shao, Yuanjie;
Gao, Changxin;
Xue, Jing-Hao;
Sang, Nong;
(2024)
Query-centric distance modulator for few-shot classification.
Pattern Recognition
, 151
, Article 110380. 10.1016/j.patcog.2024.110380.
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Xia, W;
Yang, Y;
Xue, J-H;
(2021)
Cali-sketch: Stroke calibration and completion for high-quality face image generation from human-like sketches.
Neurocomputing
, 460
pp. 256-265.
10.1016/j.neucom.2021.07.029.
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Xia, Weihao;
Zhang, Yulun;
Yang, Yujiu;
Xue, Jing-Hao;
Zhou, Bolei;
Yang, Ming-Hsuan;
(2022)
GAN Inversion: A Survey.
IEEE Transactions on Pattern Analysis and Machine Intelligence
10.1109/tpami.2022.3181070.
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Xia, W;
Yang, Y;
Xue, J-H;
(2020)
Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement.
Neural Networks
, 131
pp. 50-63.
10.1016/j.neunet.2020.07.023.
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Xia, W;
Yang, Y;
Xue, J-H;
Xiao, J;
(2020)
Domain Fingerprints for No-reference Image Quality Assessment.
IEEE Transactions on Circuits and Systems for Video Technology
10.1109/tcsvt.2020.3002662.
(In press).
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Xie, J;
Ma, Z;
Xue, J-H;
Zhang, G;
Sun, J;
Zheng, Y;
Guo, J;
(2021)
DS-UI: Dual-Supervised Mixture of Gaussian Mixture Models for Uncertainty Inference in Image Recognition.
IEEE Transactions on Image Processing
, 30
pp. 9208-9219.
10.1109/TIP.2021.3123555.
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Xie, J;
Ma, Z;
Lei, J;
Zhang, G;
Xue, J-H;
Tan, Z-H;
Guo, J;
(2022)
Advanced Dropout: A Model-free Methodology for Bayesian Dropout Optimization.
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 44
(9)
pp. 4605-4625.
10.1109/tpami.2021.3083089.
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Xu, Yang;
Yan, Yan;
Xue, Jing-Hao;
Hua, Yang;
Wang, Hanzi;
(2024)
Unpaired Caricature-Visual Face Recognition via Feature Decomposition-Restoration-Decomposition.
IEEE Transactions on Circuits and Systems for Video Technology
10.1109/tcsvt.2024.3361799.
(In press).
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Xue, J-H;
Yang, J;
Li, X;
Yan, Y;
Yang, Y;
Lu, Z;
Ma, Z;
(2021)
Guest Editorial: Special Issue on Deep Learning with Small Samples.
Neurocomputing
, 456
pp. 461-462.
10.1016/j.neucom.2021.01.109.
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Xue, J;
Hall, P;
(2015)
Why Does Rebalancing Class-unbalanced Data Improve AUC for Linear Discriminant Analysis?
IEEE Transactions on Pattern Analysis and Machine Intelligence
, 37
(5)
pp. 1109-1112.
10.1109/TPAMI.2014.2359660.
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Xue, J-H;
Ma, Z;
Roveri, M;
Japkowicz, N;
(2020)
Guest Editorial Special Issue on Recent Advances in Theory, Methodology, and Applications of Imbalanced Learning.
IEEE Transactions on Neural Networks and Learning Systems
, 31
(8)
pp. 2688-2690.
10.1109/tnnls.2020.3003494.
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Xue, JH;
Titterington, DM;
(2011)
The p-folded cumulative distribution function and the mean absolute deviation from the p-quantile.
Statistics & Probability Letters
, 81
(8)
1179 - 1182.
10.1016/j.spl.2011.03.014.
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Yan, Yan;
Shu, Ying;
Chen, Si;
Xue, Jing-Hao;
Shen, Chunhua;
Wang, Hanzi;
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How Video Super-Resolution and Frame Interpolation Mutually Benefit.
In:
MM '21: Proceedings of the 29th ACM International Conference on Multimedia.
(pp. pp. 5445-5453).
ACM
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Zou, X;
Yan, Y;
Xue, J;
Chen, S;
Wang, H;
(2022)
When Facial Expression Recognition Meets Few-Shot Learning: A Joint and Alternate Learning Framework.
In:
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI-22).
AAAI
(In press).
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Working / discussion paper
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Xia, Weihao;
Xue, Jing-Hao;
(2022)
A Survey on Deep Generative 3D-aware Image Synthesis.
ArXiv: Ithaca, NY, USA.
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Zou, Xinyi;
Yan, Yan;
Xue, Jinghao;
Chen, Si;
Wang, Hanzi;
(2023)
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition.
arXiv: Ithaca, NY, USA.
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