Yawen Cui

According to our database, Yawen Cui authored at least 37 papers between 2017 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

A Two-phase Stochastic Momentum-Based Algorithm for Nonconvex Expectation-Constrained Optimization.

Yawen Cui, Xiao Wang, Xiantao Xiao

J. Sci. Comput., July, 2025

3DGeoDet: General-purpose Geometry-aware Image-based 3D Object Detection.

Yi Zhang, Yi Wang, Yawen Cui, Lap-Pui Chau

CoRR, June, 2025

Analytic Subspace Routing: How Recursive Least Squares Works in Continual Learning of Large Language Model.

Kai Tong, Kang Pan, Xiao Zhang, Erli Meng, Run He, Yawen Cui, Nuoyan Guo, Huiping Zhuang

CoRR, March, 2025

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning.

Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang

CoRR, March, 2025

CMoA: Contrastive Mixture of Adapters for Generalized Few-Shot Continual Learning.

Yawen Cui, Jian Zhao, Zitong Yu, Rizhao Cai, Xun Wang, Lei Jin, Alex C. Kot, Li Liu, Xuelong Li

IEEE Trans. Multim., 2025

Visual Prompt Flexible-Modal Face Anti-Spoofing.

Zitong Yu, Rizhao Cai, Yawen Cui, Ajian Liu, Changsheng Chen

IEEE Trans. Dependable Secur. Comput., 2025

Foundation model-assisted interpretable vehicle behavior decision making.

Shiyu Meng, Yi Wang, Yawen Cui, Lap-Pui Chau

Knowl. Based Syst., 2025

EPE-P: Evidence-based Parameter-efficient Prompting for Multimodal Learning with Missing Modalities.

Zhe Chen, Xun Lin, Yawen Cui, Zitong Yu

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Few-Shot Audio-Visual Class-Incremental Learning with Temporal Prompting and Regularization.

Yawen Cui, Li Liu, Zitong Yu, Guanjie Huang, Xiaopeng Hong

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

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

Zitong Yu, Rizhao Cai, Yawen Cui, Xin Liu, Yongjian Hu, Alex C. Kot

Int. J. Comput. Vis., November, 2024

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

Yawen Cui, Wanxia Deng, Haoyu Chen, Li Liu

IEEE Trans. Neural Networks Learn. Syst., October, 2024

FusionMamba: dynamic feature enhancement for multimodal image fusion with Mamba.

Xinyu Xie, Yawen Cui, Tao Tan, Xubin Zheng, Zitong Yu

Vis. Intell., 2024

Rethinking Few-Shot Class-Incremental Learning With Open-Set Hypothesis in Hyperbolic Geometry.

Yawen Cui, Zitong Yu, Wei Peng, Qi Tian, Li Liu

IEEE Trans. Multim., 2024

Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning.

Lei Liu, Li Liu, Yawen Cui

CoRR, 2024

TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language Model.

Yuhao Wang, Chao Hao, Yawen Cui, Xinqi Su, Weicheng Xie, Tao Tan, Zitong Yu

CoRR, 2024

DAAD: Dynamic Analysis and Adaptive Discriminator for Fake News Detection.

Xinqi Su, Yawen Cui, Ajian Liu, Xun Lin, Yuhao Wang, Haochen Liang, Wenhui Li, Zitong Yu

CoRR, 2024

Segment Anything for Videos: A Systematic Survey.

Chunhui Zhang, Yawen Cui, Weilin Lin, Guanjie Huang, Yan Rong, Li Liu, Shiguang Shan

CoRR, 2024

FusionMamba: Dynamic Feature Enhancement for Multimodal Image Fusion with Mamba.

Xinyu Xie, Yawen Cui, Chio-In Ieong, Tao Tan, Xiaozhi Zhang, Xubin Zheng, Zitong Yu

CoRR, 2024

Prior-free Balanced Replay: Uncertainty-guided Reservoir Sampling for Long-Tailed Continual Learning.

Lei Liu, Li Liu, Yawen Cui

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

PhysFormer++: Facial Video-Based Physiological Measurement with SlowFast Temporal Difference Transformer.

Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Yawen Cui, Jiehua Zhang, Philip H. S. Torr, Guoying Zhao

Int. J. Comput. Vis., June, 2023

Few-shot learning for image classification.

Yawen Cui

PhD thesis, 2023

Uncertainty-Guided Semi-Supervised Few-Shot Class-Incremental Learning With Knowledge Distillation.

Yawen Cui, Wanxia Deng, Xin Xu, Zhen Liu, Zhong Liu, Matti Pietikäinen, Li Liu

IEEE Trans. Multim., 2023

Hyperbolic Face Anti-Spoofing.

Shuangpeng Han, Rizhao Cai, Yawen Cui, Zitong Yu, Yongjian Hu, Alex C. Kot

CoRR, 2023

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

Chunhui Zhang, Li Liu, Yawen Cui, Guanjie Huang, Weilin Lin, Yiqian Yang, Yuehong Hu

CoRR, 2023

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

Rizhao Cai, Yawen Cui, Zhi Li, Zitong Yu, Haoliang Li, Yongjian Hu, Alex C. Kot

CoRR, 2023

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

Yawen Cui, Zitong Yu, Rizhao Cai, Xun Wang, Alex C. Kot, Li Liu

CoRR, 2023

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

Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski

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

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

Rizhao Cai, Yawen Cui, Zhi Li, Zitong Yu, Haoliang Li, Yongjian Hu, Alex C. Kot

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.

Yawen Cui, Qing Liao, Dewen Hu, Wei An, Li Liu

Pattern Recognit., 2022

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

Yawen Cui, Zitong Yu, Wei Peng, Li Liu

CoRR, 2022

2021

Informative Class-Conditioned Feature Alignment for Unsupervised Domain Adaptation.

Wanxia Deng, Yawen Cui, Zhen Liu, Gangyao Kuang, Dewen Hu, Matti Pietikäinen, Li Liu

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

Semi-Supervised Few-Shot Class-Incremental Learning.

Yawen Cui, Wuti Xiong, Mohammad Tavakolian, Li Liu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Semi-Supervised Few-Shot Object Detection with a Teacher-Student Network.

Wuti Xiong, Yawen Cui, Li Liu

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

2018

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

Yikang Li, Wanli Ouyang, Bolei Zhou, Yawen Cui, Jianping Shi, Xiaogang Wang

CoRR, 2018

Deep CNN-based Visual Target Tracking System Relying on Monocular Image Sensing.

Yawen Cui, Bo Zhang, Wenjing Yang, Xiaodong Yi, Yuhua Tang

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

A research on metric learning in computer vision and pattern recognition.

Zimian Wei, Yawen Cui, Xiaotian Zhou, Wenjing Yang, Yin Li, Xiaodong Yi, Huadong Dai

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.

Yawen Cui, Bo Zhang, Wenjing Yang, Zhiyuan Wang, Yin Li, Xiaodong Yi, Yuhua Tang

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017