Haoxuan Ding

Don't Stop Learning: Towards Continual Learning for the CLIP Model

Lingqiao Liu, Chunna Tian, Yuxuan Ding, 2022, ArXiv.

URCA-GAN: UpSample Residual Channel-wise Attention Generative Adversarial Network for image-to-image translation

Edward K. Wong, Xuan Nie, Manhua Qi, 2021, Neurocomputing.

Attention Mask R-CNN for Ship Detection and Segmentation From Remote Sensing Images

Bingliang Hu, Xuan Nie, Mengyang Duan, 2020, IEEE Access.

Strawberry Verticillium Wilt Detection Network Based on Multi-Task Learning and Attention

Min Xu, Luyao Wang, Xuan Nie, 2019, IEEE Access.

Boosting One-Stage License Plate Detector via Self-Constrained Contrastive Aggregation

Qi Wang, Junyu Gao, Yuan Yuan, 2023, IEEE Transactions on Circuits and Systems for Video Technology.

An End-to-End Contrastive License Plate Detector

Qi Wang, Junyu Gao, Yuan Yuan, 2024, IEEE Transactions on Intelligent Transportation Systems.

The CLIP Model is Secretly an Image-to-Prompt Converter

Lingqiao Liu, Chunna Tian, Yuxuan Ding, 2023, NeurIPS.

GiGAN: Gate in GAN, could gate mechanism filter the features in image-to-image translation?

Edward K. Wong, Xuan Nie, Jianchao Jia, 2021, Neurocomputing.

FF-LPD: A Real-Time Frame-by-Frame License Plate Detector With Knowledge Distillation and Feature Propagation

Haoxuan Ding, Yuan Yuan, Qi Wang, 2024, IEEE Transactions on Image Processing.