Yawen Cui

Orcid: 0000-0002-9337-687X

According to our database1, Yawen Cui authored at least 23 papers between 2017 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry.
IEEE Trans. Multim., 2024

2023
PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer.
Int. J. Comput. Vis., June, 2023

Few-shot learning for image classification.
PhD thesis, 2023

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation.
IEEE Trans. Multim., 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
CoRR, 2023

Hyperbolic Face Anti-Spoofing.
CoRR, 2023

Visual Prompt Flexible-Modal Face Anti-Spoofing.
CoRR, 2023

A Comprehensive Survey on Segment Anything Model for Vision and Beyond.
CoRR, 2023

Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less.
CoRR, 2023

Generalized Few-Shot Continual Learning with Contrastive Mixture of Adapters.
CoRR, 2023

Rethinking Vision Transformer and Masked Autoencoder in Multimodal Face Anti-Spoofing.
CoRR, 2023

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning.
CoRR, 2023

Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Coarse-to-fine pseudo supervision guided meta-task optimization for few-shot object classification.
Pattern Recognit., 2022

Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry.
CoRR, 2022

2021
Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Semi-Supervised Few-Shot Class-Incremental Learning.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semi-Supervised Few-Shot Object Detection with a Teacher-Student Network.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2018
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation.
CoRR, 2018

Deep CNN-based Visual Target Tracking System Relying on Monocular Image Sensing.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A research on metric learning in computer vision and pattern recognition.
Proceedings of the Tenth International Conference on Advanced Computational Intelligence, 2018

2017
End-to-End Visual Target Tracking in Multi-robot Systems Based on Deep Convolutional Neural Network.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017


  Loading...