235 citations · 659 across the 25 of their papers we have counts for
5 papers · 1 filter
Improving Video Colorization by Test-Time Tuning
Yaping Zhao, Haitian Zheng, Jiebo Luo +1
With the advancements in deep learning, video colorization by propagating color information from a colorized reference frame to a monochrome video sequence has been well explored.…
An Effective Image Restorer: Denoising and Luminance Adjustment for Low-photon-count Imaging
Shansi Zhang, Edmund Y. Lam
Imaging under photon-scarce situations introduces challenges to many applications as the captured images are with low signal-to-noise ratio and poor luminance. In this paper, we in…
Transfer Learning U-Net Deep Learning for Lung Ultrasound Segmentation
Dorothy Cheng, Edmund Y. Lam
Transfer learning (TL) for medical image segmentation helps deep learning models achieve more accurate performances when there are scarce medical images. This study focuses on comp…
High-Order Residual Network for Light Field Super-Resolution
Nan Meng, Xiaofei Wu, Jianzhuang Liu +1
Plenoptic cameras usually sacrifice the spatial resolution of their SAIs to acquire geometry information from different viewpoints. Several methods have been proposed to mitigate s…
High-dimensional Dense Residual Convolutional Neural Network for Light Field Reconstruction
Nan Meng, Hayden K. -H. So, Xing Sun +1
We consider the problem of high-dimensional light field reconstruction and develop a learning-based framework for spatial and angular super-resolution. Many current approaches eith…