Xiu-Shen Wei

Orcid: 0000-0002-8200-1845

According to our database¹, Xiu-Shen Wei authored at least 84 papers between 2014 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Task-specific Part Discovery for Fine-grained Few-shot Classification.

[BibT_eX]

[DOI]

Yongxian Wei

Xiu-Shen Wei

Mach. Intell. Res., October, 2024

Negatives Make a Positive: An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

Contextualizing Meta-Learning via Learning to Decompose.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., January, 2024

MECOM: A Meta-Completion Network for Fine-Grained Recognition With Incomplete Multi-Modalities.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2024

An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Multibranch Co-training to Mine Venomous Feature Representation: A Solution to SnakeCLEF2024.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

Say No to the Poisonous Fungi: An Effective Strategy for Reducing 0-1 Cost in FungiCLEF2024.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

2023

Attribute-Aware Deep Hashing With Self-Consistency for Large-Scale Fine-Grained Image Retrieval.

[BibT_eX]

[DOI]

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

Bridge the gap between supervised and unsupervised learning for fine-grained classification.

[BibT_eX]

[DOI]

Inf. Sci., November, 2023

QBox: Partial Transfer Learning With Active Querying for Object Detection.

[BibT_eX]

[DOI]

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

Learning Graph Convolutional Networks for Multi-Label Recognition and Applications.

[BibT_eX]

[DOI]

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

CAT: a coarse-to-fine attention tree for semantic change detection.

[BibT_eX]

[DOI]

Vis. Intell., 2023

Boosting Robust Learning Via Leveraging Reusable Samples in Noisy Web Data.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Prototype Learning for Automatic Check-Out.

[BibT_eX]

[DOI]

Hao Chen

Xiu-Shen Wei

Liang Xiao

IEEE Trans. Multim., 2023

Delving Deep into Simplicity Bias for Long-Tailed Image Recognition.

[BibT_eX]

[DOI]

CoRR, 2023

Hyperbolic Space with Hierarchical Margin Boosts Fine-Grained Learning from Coarse Labels.

[BibT_eX]

[DOI]

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

Hawkeye: A PyTorch-based Library for Fine-Grained Image Recognition with Deep Learning.

[BibT_eX]

[DOI]

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

Equiangular Basis Vectors.

[BibT_eX]

[DOI]

Yang Shen

Xuhao Sun

Xiu-Shen Wei

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

Watch out Venomous Snake Species: A Solution to SnakeCLEF2023.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

A Deep Learning based Solution to FungiCLEF2023.

[BibT_eX]

[DOI]

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022

A Lightweight Encoder-Decoder Path for Deep Residual Networks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Open-Set Noise and Utilizing Hard Examples.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Self-Supervised Multi-Category Counting Networks for Automatic Check-Out.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Delving deep into spatial pooling for squeeze-and-excitation networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Fine-Grained Image Analysis With Deep Learning: A Survey.

[BibT_eX]

[DOI]

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

Preface.

[BibT_eX]

[DOI]

Min-Ling Zhang

Xiu-Shen Wei

Gao Huang

J. Comput. Sci. Technol., 2022

Prototype-based classifier learning for long-tailed visual recognition.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2022

RPC: a large-scale and fine-grained retail product checkout dataset.

[BibT_eX]

[DOI]

Sci. China Inf. Sci., 2022

An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning.

[BibT_eX]

[DOI]

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

Webly-Supervised Fine-Grained Recognition with Partial Label Learning.

[BibT_eX]

[DOI]

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

A Channel Mix Method for Fine-Grained Cross-Modal Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

SEMICON: A Learning-to-Hash Solution for Large-Scale Fine-Grained Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Automatic Check-Out via Prototype-Based Classifier Learning from Single-Product Exemplars.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Relieving Long-tailed Instance Segmentation via Pairwise Class Balance.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dual Attention Networks for Few-Shot Fine-Grained Recognition.

[BibT_eX]

[DOI]

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

2021

Disentangling, Embedding and Ranking Label Cues for Multi-Label Image Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Multi-Instance Learning With Emerging Novel Class.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2021

Contextualizing Multiple Tasks via Learning to Decompose.

[BibT_eX]

[DOI]

CoRR, 2021

Exploiting Web Images for Fine-Grained Visual Recognition by Eliminating Noisy Samples and Utilizing Hard Ones.

[BibT_eX]

[DOI]

CoRR, 2021

A$^2$-Net: Learning Attribute-Aware Hash Codes for Large-Scale Fine-Grained Image Retrieval.

[BibT_eX]

[DOI]

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

MULL'21: First International Workshop on Multimedia Understanding with Less Labeling.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Distilling Virtual Examples for Long-tailed Recognition.

[BibT_eX]

[DOI]

Yin-Yin He

Jianxin Wu

Xiu-Shen Wei

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Bi-Modal Progressive Mask Attention for Fine-Grained Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Learning Semantically Enhanced Feature for Fine-Grained Image Classification.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Structure-aware human pose estimation with graph convolutional networks.

[BibT_eX]

[DOI]

Pattern Recognit., 2020

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Tips and Tricks for Webly-Supervised Fine-Grained Recognition: Learning from the WebFG 2020 Challenge.

[BibT_eX]

[DOI]

CoRR, 2020

Salvage Reusable Samples from Noisy Data for Robust Learning.

[BibT_eX]

[DOI]

CoRR, 2020

An Adversarial Domain Adaptation Network For Cross-Domain Fine-Grained Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Piecewise Hashing: A Deep Hashing Method for Large-Scale Fine-Grained Search.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - Third Chinese Conference, 2020

CRSSC: Salvage Reusable Samples from Noisy Data for Robust Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

PyRetri: A PyTorch-based Library for Unsupervised Image Retrieval by Deep Convolutional Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

ExchNet: A Unified Hashing Network for Large-Scale Fine-Grained Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Hierarchical Context Embedding for Region-Based Object Detection.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition.

[BibT_eX]

[DOI]

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

Exploring Categorical Regularization for Domain Adaptive Object Detection.

[BibT_eX]

[DOI]

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

2019

Piecewise Classifier Mappings: Learning Fine-Grained Learners for Novel Categories With Few Examples.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Unsupervised object discovery and co-localization by deep descriptor transformation.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Deep Learning for Fine-Grained Image Analysis: A Survey.

[BibT_eX]

[DOI]

Xiu-Shen Wei

Jianxin Wu

Quan Cui

CoRR, 2019

RPC: A Large-Scale Retail Product Checkout Dataset.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-Label Image Recognition with Joint Class-Aware Map Disentangling and Label Correlation Embedding.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Multi-Label Image Recognition With Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Deep Bimodal Regression of Apparent Personality Traits from Short Video Sequences.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2018

Mask-CNN: Localizing parts and selecting descriptors for fine-grained bird species categorization.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Coarse-to-Fine: A RNN-Based Hierarchical Attention Model for Vehicle Re-identification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Scalable Algorithms for Multi-Instance Learning.

[BibT_eX]

[DOI]

Xiu-Shen Wei

Jianxin Wu

Zhi-Hua Zhou

IEEE Trans. Neural Networks Learn. Syst., 2017

Selective Convolutional Descriptor Aggregation for Fine-Grained Image Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

Adversarial Learning of Structure-Aware Fully Convolutional Networks for Landmark Localization.

[BibT_eX]

[DOI]

CoRR, 2017

Unsupervised Object Discovery and Co-Localization by Deep Descriptor Transforming.

[BibT_eX]

[DOI]

CoRR, 2017

In Defense of Fully Connected Layers in Visual Representation Transfer.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017

Deep Descriptor Transforming for Image Co-Localization.

[BibT_eX]

[DOI]

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

Adversarial PoseNet: A Structure-Aware Convolutional Network for Human Pose Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Weakly Supervised Fine-Grained Categorization With Part-Based Image Representation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2016

An empirical study on image bag generators for multi-instance learning.

[BibT_eX]

[DOI]

Xiu-Shen Wei

Zhi-Hua Zhou

Mach. Learn., 2016

Mask-CNN: Localizing Parts and Selecting Descriptors for Fine-Grained Image Recognition.

[BibT_eX]

[DOI]

Xiu-Shen Wei

Chen-Wei Xie

Jianxin Wu

CoRR, 2016

Deep Bimodal Regression for Apparent Personality Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Weakly Supervised Fine-Grained Image Categorization.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Spatial Pyramid: The Devil is Once Again in the Details.

[BibT_eX]

[DOI]

CoRR, 2015

Deep Label Distribution Learning for Apparent Age Estimation.

[BibT_eX]

[DOI]

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

Deep Spatial Pyramid Ensemble for Cultural Event Recognition.

[BibT_eX]

[DOI]

Xiu-Shen Wei

Bin-Bin Gao

Jianxin Wu

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

2014

Scalable Multi-instance Learning.

[BibT_eX]

[DOI]

Xiu-Shen Wei

Jianxin Wu

Zhi-Hua Zhou

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Xiu-Shen Wei

Timeline

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