Siqi Hui

According to our database, Siqi Hui authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

Hierarchical frequency adaptation for all-in-one image restoration.

Yang Wu, Ye Deng, Siqi Hui, Yuhan Liu, Kangyi Wu, Wenli Huang, Jinjun Wang

Knowl. Based Syst., 2026

TO-net: Enhancing the performance of BNN with texture information.

Yun Pan, Zijing Xia, Junjie Li, Siqi Hui, Ning Liu, Lifeng Xing, Bangbo Xia, Yucai Hong, Ruohong Huan, Huaiyu Zhu

Comput. Electr. Eng., 2026

2025

FreqGRL: Suppressing Low-Frequency Bias and Mining High-Frequency Knowledge for Cross-Domain Few-Shot Learning.

Siqi Hui, Sanping Zhou, Ye Deng, Wenli Huang, Jinjun Wang

CoRR, November, 2025

Autoregressive Images Watermarking through Lexical Biasing: An Approach Resistant to Regeneration Attack.

Siqi Hui, Yiren Song, Sanping Zhou, Ye Deng, Wenli Huang, Jinjun Wang

CoRR, June, 2025

Meta channel masking for cross-domain few-shot image classification.

Siqi Hui, Sanping Zhou, Ye Deng, Pengna Li, Jinjun Wang

Neurocomputing, 2025

Auxiliary Loss Reweighting for Image Inpainting.

Wenli Huang, Siqi Hui, Ye Deng, Xiaomeng Xin, Yang Wu, Jinjun Wang

Proceedings of the 51st Annual Conference of the IEEE Industrial Electronics Society, 2025

2024

Inverse Adversarial Diversity Learning for Network Ensemble.

Sanping Zhou, Jinjun Wang, Le Wang, Xingyu Wan, Siqi Hui, Nanning Zheng

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

Sparse self-attention transformer for image inpainting.

Wenli Huang, Ye Deng, Siqi Hui, Yang Wu, Sanping Zhou, Jinjun Wang

Pattern Recognit., January, 2024

Gradient-guided channel masking for cross-domain few-shot learning.

Siqi Hui, Sanping Zhou, Ye Deng, Yang Wu, Jinjun Wang

Knowl. Based Syst., 2024

Semantic-aware Representation Learning for Homography Estimation.

Yuhan Liu, Qianxin Huang, Siqi Hui, Jingwen Fu, Sanping Zhou, Kangyi Wu, Pengna Li, Jinjun Wang

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

2023

Adaptive-Attention Completing Network for Remote Sensing Image.

Wenli Huang, Ye Deng, Siqi Hui, Jinjun Wang

Remote. Sens., March, 2023

Context Adaptive Network for Image Inpainting.

Ye Deng, Siqi Hui, Sanping Zhou, Wenli Huang, Jinjun Wang

IEEE Trans. Image Process., 2023

Understanding the Overfitting of the Episodic Meta-training.

Siqi Hui, Sanping Zhou, Ye Deng, Jinjun Wang

CoRR, 2023

2022

Image Inpainting with Bilateral Convolution.

Wenli Huang, Ye Deng, Siqi Hui, Jinjun Wang

Remote. Sens., December, 2022

Multi-Reception and Multi-Gradient Discriminator for Image Inpainting.

Wenli Huang, Ye Deng, Siqi Hui, Jinjun Wang

IEEE Access, 2022

T-former: An Efficient Transformer for Image Inpainting.

Ye Deng, Siqi Hui, Sanping Zhou, Deyu Meng, Jinjun Wang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Learning Knowledge Graph Embedding with Batch Circle Loss.

Yang Wu, Wenli Huang, Siqi Hui, Jinjun Wang

Proceedings of the International Joint Conference on Neural Networks, 2022

Hourglass Attention Network for Image Inpainting.

Ye Deng, Siqi Hui, Rongye Meng, Sanping Zhou, Jinjun Wang

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Auxiliary Loss Adaptation for Image Inpainting.

Siqi Hui, Sanping Zhou, Xingyu Wan, Jixin Wang, Ye Deng, Yang Wu, Zhenghao Gong, Jinjun Wang

CoRR, 2021

Learning Contextual Transformer Network for Image Inpainting.

Ye Deng, Siqi Hui, Sanping Zhou, Deyu Meng, Jinjun Wang

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