5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2023★ 1 cited
Supervised Homography Learning with Realistic Dataset Generation
Hai Jiang, Haipeng Li, Songchen Han +3
In this paper, we propose an iterative framework, which consists of two phases: a generation phase and a training phase, to generate realistic training data and yield a supervised…
eess.IV2023★ 2 cited
Single-Image-Based Deep Learning for Segmentation of Early Esophageal Cancer Lesions
Haipeng Li, Dingrui Liu, Yu Zeng +5
Accurate segmentation of lesions is crucial for diagnosis and treatment of early esophageal cancer (EEC). However, neither traditional nor deep learning-based methods up to today c…
cs.CV2019★ 5 cited
An Effective Two-Branch Model-Based Deep Network for Single Image Deraining
Yinglong Wang, Dong Gong, Jie Yang +4
Removing rain effects from an image is of importance for various applications such as autonomous driving, drone piloting, and photo editing. Conventional methods rely on some heuri…