Fan Lyu

Orcid: 0000-0002-0878-5485

According to our database1, Fan Lyu authored at least 30 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Label Continual Learning Using Augmented Graph Convolutional Network.
IEEE Trans. Multim., 2024

Confidence Self-Calibration for Multi-Label Class-Incremental Learning.
CoRR, 2024

Variational Continual Test-Time Adaptation.
CoRR, 2024

Elastic Multi-Gradient Descent for Parallel Continual Learning.
CoRR, 2024

Long-Tailed Learning as Multi-Objective Optimization.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Multi-semantic hypergraph neural network for effective few-shot learning.
Pattern Recognit., October, 2023

Difference-guided multi-scale spatial-temporal representation for sign language recognition.
Vis. Comput., August, 2023

Constructing Sample-to-Class Graph for Few-Shot Class-Incremental Learning.
CoRR, 2023

Dynamic V2X Autonomous Perception from Road-to-Vehicle Vision.
CoRR, 2023

Two-level Graph Network for Few-Shot Class-Incremental Learning.
CoRR, 2023

Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Centroid Distance Distillation for Effective Rehearsal in Continual Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Fine-grained scale space learning for single image super-resolution.
Vis. Comput., 2022

Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning.
IEEE Trans. Multim., 2022

Visual Grounding Via Accumulated Attention.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Class-Incremental Lifelong Learning in Multi-Label Classification.
CoRR, 2022

Harnessing Multi-Semantic Hypergraph for Few-Shot Learning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Exploring Example Influence in Continual Learning.
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.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

2021
Each Attribute Matters: Contrastive Attention for Sentence-based Image Editing.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Multi-Domain Multi-Task Rehearsal for Lifelong Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
vtGraphNet: Learning weakly-supervised scene graph for complex visual grounding.
Neurocomputing, 2020

Mutatt: Visual-Textual Mutual Guidance For Referring Expression Comprehension.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Modeling Cross-View Interaction Consistency for Paired Egocentric Interaction Recognition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Associating Multi-Scale Receptive Fields For Fine-Grained Recognition.
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.
IEEE Trans. Multim., 2019

Unsupervised Object Transfiguration with Attention.
Cogn. Comput., 2019

SR-GAN: Semantic Rectifying Generative Adversarial Network for Zero-shot Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

2018
Coarse to Fine: Multi-label Image Classification with Global/Local Attention.
Proceedings of the IEEE International Smart Cities Conference, 2018

DAU-GAN: Unsupervised Object Transfiguration via Deep Attention Unit.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2018


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