Xin Geng

CoRR, 2024

Unsupervised Graphic Layout Grouping with Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Building Variable-Sized Models via Learngene Pool.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Trusted-Data-Guided Label Enhancement on Noisy Labels.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

A Closer Look at Video Sampling for Sequential Action Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., December, 2023

Motional foreground attention-based video crowd counting.

[BibT_eX]

[DOI]

Pattern Recognit., December, 2023

Label distribution learning for scene text detection.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2023

Multi-View Partial Multi-Label Learning via Graph-Fusion-Based Label Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., November, 2023

Progressive Enhancement of Label Distributions for Partial Multilabel Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., August, 2023

Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework.

[BibT_eX]

[DOI]

Pattern Recognit., August, 2023

Variational Label Enhancement.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Label Distribution Learning by Exploiting Label Distribution Manifold.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., February, 2023

Graph Attention Transformer Network for Multi-label Image Classification.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., 2023

A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Language-Guided Face Animation by Recurrent StyleGAN-Based Generator.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Fast Label Enhancement for Label Distribution Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

Continuous label distribution learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

A Novel Label Enhancement Algorithm Based on Manifold Learning.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

A label distribution manifold learning algorithm.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

LPCL: Localized prominence contrastive learning for self-supervised dense visual pre-training.

[BibT_eX]

[DOI]

Pattern Recognit., 2023

Balanced masking strategy for multi-label image classification.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Transformer as Linear Expansion of Learngene.

[BibT_eX]

[DOI]

CoRR, 2023

Manipulating the Label Space for In-Context Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Scalable Label Distribution Learning for Multi-Label Classification.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Representation Learning for Unreliable Partial Label Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Exploiting Multi-Label Correlation in Label Distribution Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Novel Cross-Perturbation for Single Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Variational Label-Correlation Enhancement for Congestion Prediction.

[BibT_eX]

[DOI]

CoRR, 2023

Generalizable Metric Network for Cross-domain Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2023

Genes in Intelligent Agents.

[BibT_eX]

[DOI]

CoRR, 2023

Hybrid Representation Learning via Epistemic Graph.

[BibT_eX]

[DOI]

CoRR, 2023

Data Augmentation For Label Enhancement.

[BibT_eX]

[DOI]

CoRR, 2023

Inaccurate Label Distribution Learning.

[BibT_eX]

[DOI]

Zhiqiang Kou

Yuheng Jia

CoRR, 2023

Learning From Biased Soft Labels.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Diverse In-Context Configurations for Image Captioning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Generalizable Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Unreliable Partial Label Learning with Recursive Separation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

FREDIS: A Fusion Framework of Refinement and Disambiguation for Unreliable Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Revisiting Pseudo-Label for Single-Positive Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Progressive Purification for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Decompositional Generation Process for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Congyu Qiao

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficient Diffusion Training via Min-SNR Weighting Strategy.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Effective Visual Representations for Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Imbalanced Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Label Distribution Learning for Generalizable Multisource Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Multilabel Distribution Learning Based on Multioutput Regression and Manifold Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Feature-Induced Label Distribution for Learning with Noisy Labels.

[BibT_eX]

[DOI]

Minxue Zhang

Pattern Recognit. Lett., 2022

Re-Weighting Large Margin Label Distribution Learning for Classification.

[BibT_eX]

[DOI]

Hui Xue

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Revisiting Facial Age Estimation With New Insights From Instance Space Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Multilabel Ranking With Inconsistent Rankers.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Head Pose Estimation Based on Multivariate Label Distribution.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Weakly supervised temporal action localization with proxy metric modeling.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

Label distribution for multimodal machine learning.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2022

MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Label Distribution Learning for Generalizable Multi-source Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2022

Decomposition-based Generation Process for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Congyu Qiao

CoRR, 2022

Learning Hierarchical Graph Representation for Image Manipulation Detection.

[BibT_eX]

[DOI]

CoRR, 2022

One Positive Label is Sufficient: Single-Positive Multi-Label Learning with Label Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Ambiguity-Induced Contrastive Learning for Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Fusion Label Enhancement for Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Learngene: From Open-World to Your Learning Task.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-Label Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Label Enhancement for Label Distribution Learning.

[BibT_eX]

[DOI]

Yun-Peng Liu

IEEE Trans. Knowl. Data Eng., 2021

Compact learning for multi-label classification.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Practical age estimation using deep label distribution learning.

[BibT_eX]

[DOI]

Huiying Zhang

Yu Zhang

Frontiers Comput. Sci., 2021

Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework.

[BibT_eX]

[DOI]

CoRR, 2021

On the Robustness of Average Losses for Partial-Label Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Learning from Noisy Labels via Dynamic Loss Thresholding.

[BibT_eX]

[DOI]

CoRR, 2021

Instance-Dependent Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Learn the Highest Label and Rest Label Description Degrees.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Video Summarization via Label Distributions Dual-Reward.

[BibT_eX]

[DOI]

Yongbiao Gao

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Label Distribution Learning Machine.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Simultaneous 3D hand detection and pose estimation using single depth images.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2020

Provably Consistent Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Label Distribution for Learning with Noisy Labels.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Label Enhancement for Label Distribution Learning via Prior Knowledge.

[BibT_eX]

[DOI]

Yongbiao Gao

Yu Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Progressive Identification of True Labels for Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Variational Label Enhancement.

[BibT_eX]

[DOI]

Proceedings of the 37th International Conference on Machine Learning, 2020

Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Partial Multi-Label Learning with Label Distribution.

[BibT_eX]

[DOI]

Yun-Peng Liu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Indoor Crowd Counting by Mixture of Gaussians Label Distribution Learning.

[BibT_eX]

[DOI]

Miaogen Ling

IEEE Trans. Image Process., 2019

Recurrent age estimation.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Soft video parsing by label distribution learning.

[BibT_eX]

[DOI]

Miaogen Ling

Frontiers Comput. Sci., 2019

Discrete Binary Coding based Label Distribution Learning.

[BibT_eX]

[DOI]

Ke Wang

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Classification with Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Weakly Supervised Multi-Label Learning via Label Enhancement.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Partial Label Learning via Label Enhancement.

[BibT_eX]

[DOI]

Jiaqi Lv

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Theoretical Analysis of Label Distribution Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Binary relevance for multi-label learning: an overview.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2018

Labeling Information Enhancement for Multi-label Learning with Low-Rank Subspace.

[BibT_eX]

[DOI]

An Tao

Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Label Enhancement for Label Distribution Learning.

[BibT_eX]

[DOI]

An Tao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Binary Coding based Label Distribution Learning.

[BibT_eX]

[DOI]

Ke Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Multi-label Learning with Label Enhancement.

[BibT_eX]

[DOI]

Ruifeng Shao

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Sense Beauty by Label Distribution Learning.

[BibT_eX]

[DOI]

Yi Ren

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Ordinal Zero-Shot Learning.

[BibT_eX]

[DOI]

Zeng-Wei Huo

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semi-Supervised Adaptive Label Distribution Learning for Facial Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Logistic Boosting Regression for Label Distribution Learning.

[BibT_eX]

[DOI]

Chao Xing

Hui Xue

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Deep Age Distribution Learning for Apparent Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

Multi-Label Manifold Learning.

[BibT_eX]

[DOI]

Peng Hou

Min-Ling Zhang

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Biometrics, Second Edition, 2015

Emotion Distribution Recognition from Facial Expressions.

[BibT_eX]

[DOI]

Ying Zhou

Hui Xue

Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015

Leveraging Implicit Relative Labeling-Importance Information for Effective Multi-label Learning.

[BibT_eX]

[DOI]

Yu-Kun Li

Min-Ling Zhang

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Deep Label Distribution Learning for Apparent Age Estimation.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

2013

Facial Age Estimation by Learning from Label Distributions.

[BibT_eX]

[DOI]

Chao Yin

IEEE Trans. Pattern Anal. Mach. Intell., 2013

2012

Facial Age Estimation by Conditional Probability Neural Network.

[BibT_eX]

[DOI]

Chao Yin

Proceedings of the Pattern Recognition - Chinese Conference, 2012

2011

Face Image Modeling by Multilinear Subspace Analysis With Missing Values.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2011

2010

Context-aware fusion: A case study on fusion of gait and face for human identification in video.

[BibT_eX]

[DOI]

Pattern Recognit., 2010

Facial Age Estimation by Learning from Label Distributions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009

Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the Encyclopedia of Biometrics, 2009

Facial age estimation by multilinear subspace analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Individual Stable Space: An Approach to Face Recognition Under Uncontrolled Conditions.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2008

Correction to "Automatic Age Estimation Based on Facial Aging Patterns".

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Adaptive Fusion of Gait and Face for Human Identification in Video.

[BibT_eX]

[DOI]

Proceedings of the 9th IEEE Workshop on Applications of Computer Vision (WACV 2008), 2008

Facial age estimation by nonlinear aging pattern subspace.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Multimedia 2008, 2008

2007

Automatic Age Estimation Based on Facial Aging Patterns.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2007

2006

Image Region Selection and Ensemble for Face Recognition.

[BibT_eX]

[DOI]

J. Comput. Sci. Technol., 2006

Uncontrolled Face Recognition by Individual Stable Neural Network.

[BibT_eX]

[DOI]

Honghua Dai

Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006

Learning from facial aging patterns for automatic age estimation.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM International Conference on Multimedia, 2006

Abnormal Behavior Detection for Early Warning of Terrorist Attack.

[BibT_eX]

[DOI]

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

2005

Supervised nonlinear dimensionality reduction for visualization and classification.

[BibT_eX]

[DOI]

De-Chuan Zhan

IEEE Trans. Syst. Man Cybern. Part B, 2005

2004

Projection functions for eye detection.

[BibT_eX]

[DOI]