Wanglong Lu

According to our database, Wanglong Lu authored at least 14 papers between 2020 and 2025.

Collaborative distances:

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

2025

Do inpainting yourself: Generative facial inpainting guided by exemplars.

Wanglong Lu, Hanli Zhao, Xianta Jiang, Xiaogang Jin, Yong-Liang Yang, Kaijie Shi

Neurocomputing, 2025

2024

Restoring vision in hazy weather with hierarchical contrastive learning.

Tao Wang, Guangpin Tao, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Xiaoqin Zhang, Tong Lu

Pattern Recognit., January, 2024

TEG: image theme recognition using text-embedding-guided few-shot adaptation.

Jikai Wang, Wanglong Lu, Yu Wang, Kaijie Shi, Xianta Jiang, Hanli Zhao

Adv. Math. Commun., 2024

Visual Style Prompt Learning Using Diffusion Models for Blind Face Restoration.

Wanglong Lu, Jikai Wang, Tao Wang, Kaihao Zhang, Xianta Jiang, Hanli Zhao

CoRR, 2024

FACEMUG: A Multimodal Generative and Fusion Framework for Local Facial Editing.

Wanglong Lu, Jikai Wang, Xiaogang Jin, Xianta Jiang, Hanli Zhao

CoRR, 2024

PromptRR: Diffusion Models as Prompt Generators for Single Image Reflection Removal.

Tao Wang, Wanglong Lu, Kaihao Zhang, Wenhan Luo, Tae-Kyun Kim, Tong Lu, Hongdong Li, Ming-Hsuan Yang

CoRR, 2024

Handling the Non-smooth Challenge in Tensor SVD: A Multi-objective Tensor Recovery Framework.

Jingjing Zheng, Wanglong Lu, Wenzhe Wang, Yankai Cao, Xiaoqin Zhang, Xianta Jiang

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

GRIG: Few-Shot Generative Residual Image Inpainting.

Wanglong Lu, Xianta Jiang, Xiaogang Jin, Yong-Liang Yang, Minglun Gong, Tao Wang, Kaijie Shi, Hanli Zhao

CoRR, 2023

Detecting Blinks from Wearable Cameras using Spatial-Temporal-Aware Deep Network Learning.

Yu Wang, Wanglong Lu, Hanli Zhao, Xianta Jiang, Bin Zheng, M. Stella Atkins

Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, 2023

2022

Probability-Based Channel Pruning for Depthwise Separable Convolutional Networks.

Hanli Zhao, Kaijie Shi, Xiaogang Jin, Ming-Liang Xu, Hui Huang, Wanglong Lu, Ying Liu

J. Comput. Sci. Technol., 2022

Generative image inpainting with enhanced gated convolution and Transformers.

Min Wang, Wanglong Lu, Jiankai Lyu, Kaijie Shi, Hanli Zhao

Displays, 2022

Diverse facial inpainting guided by exemplars.

Wanglong Lu, Hanli Zhao, Xianta Jiang, Xiaogang Jin, Min Wang, Jiankai Lyu, Kaijie Shi

CoRR, 2022

2021

Category-consistent deep network learning for accurate vehicle logo recognition.

Wanglong Lu, Hanli Zhao, Qi He, Hui Huang, Xiaogang Jin

Neurocomputing, 2021

2020

High-quality retinal vessel segmentation using generative adversarial network with a large receptive field.

Hanli Zhao, Xiaqing Qiu, Wanglong Lu, Hui Huang, Xiaogang Jin

Int. J. Imaging Syst. Technol., 2020