24 citations · 56 across the 25 of their papers we have counts for
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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.CV2023★ 2 cited
GyroFlow+: Gyroscope-Guided Unsupervised Deep Homography and Optical Flow Learning
Haipeng Li, Kunming Luo, Bing Zeng +1
Existing homography and optical flow methods are erroneous in challenging scenes, such as fog, rain, night, and snow because the basic assumptions such as brightness and gradient c…