Fan Lyu

Orcid: 0000-0002-0878-5485

According to our database¹, Fan Lyu authored at least 40 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

Multi-Label Continual Learning Using Augmented Graph Convolutional Network.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Combinational sign language recognition.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2024

Rebalancing Multi-Label Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Constructing Enhanced Mutual Information for Online Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Towards stable training of parallel continual learning.

[BibT_eX]

[DOI]

CoRR, 2024

Parameter-Selective Continual Test-Time Adaptation.

[BibT_eX]

[DOI]

Jiaxu Tian

Fan Lyu

CoRR, 2024

Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Improving Data-aware and Parameter-aware Robustness for Continual Learning.

[BibT_eX]

[DOI]

Hanxi Xiao

Fan Lyu

CoRR, 2024

Controllable Continual Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Overcoming Domain Drift in Online Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Confidence Self-Calibration for Multi-Label Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2024

Variational Continual Test-Time Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

Elastic Multi-Gradient Descent for Parallel Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2024

MetaMask: Improving Few-Shot Semantic Segmentation via Multi-Mask Calibriation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Long-Tailed Learning as Multi-Objective Optimization.

[BibT_eX]

[DOI]

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

2023

Multi-semantic hypergraph neural network for effective few-shot learning.

[BibT_eX]

[DOI]

Pattern Recognit., October, 2023

Difference-guided multi-scale spatial-temporal representation for sign language recognition.

[BibT_eX]

[DOI]

Vis. Comput., August, 2023

Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Dynamic V2X Autonomous Perception from Road-to-Vehicle Vision.

[BibT_eX]

[DOI]

CoRR, 2023

Two-level Graph Network for Few-Shot Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning.

[BibT_eX]

[DOI]

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

Centroid Distance Distillation for Effective Rehearsal in Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Fine-grained scale space learning for single image super-resolution.

[BibT_eX]

[DOI]

Vis. Comput., 2022

Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2022

Visual Grounding Via Accumulated Attention.

[BibT_eX]

[DOI]

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

Class-Incremental Lifelong Learning in Multi-Label Classification.

[BibT_eX]

[DOI]

CoRR, 2022

Harnessing Multi-Semantic Hypergraph for Few-Shot Learning.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Exploring Example Influence in Continual Learning.

[BibT_eX]

[DOI]

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

AGCN: Augmented Graph Convolutional Network for Lifelong Multi-Label Image Recognition.

[BibT_eX]

[DOI]

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

2021

Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Multi-Domain Multi-Task Rehearsal for Lifelong Learning.

[BibT_eX]

[DOI]

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

2020

vtGraphNet: Learning weakly-supervised scene graph for complex visual grounding.

[BibT_eX]

[DOI]

Fan Lyu

Wei Feng

Song Wang

Neurocomputing, 2020

Mutatt: Visual-Textual Mutual Guidance For Referring Expression Comprehension.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Modeling Cross-View Interaction Consistency for Paired Egocentric Interaction Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Associating Multi-Scale Receptive Fields For Fine-Grained Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Attend and Imagine: Multi-Label Image Classification With Visual Attention and Recurrent Neural Networks.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

Unsupervised Object Transfiguration with Attention.

[BibT_eX]

[DOI]

Cogn. Comput., 2019

SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning.

[BibT_eX]

[DOI]

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

2018

Coarse to Fine: Multi-label Image Classification with Global/Local Attention.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Smart Cities Conference, 2018

DAU-GAN: Unsupervised Object Transfiguration via Deep Attention Unit.

[BibT_eX]

[DOI]

Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018

Fan Lyu

Timeline

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On csauthors.net:

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