activity
20192024
most citedSiSPRNet: End-to-End Learning for Single-Shot Phase Retrieval

25 citations · 94 across the 13 of their papers we have counts for

collaborators
Showing 2020Show all

6 papers · 1 filter

eess.IV2020★ 2 cited

Bone Feature Segmentation in Ultrasound Spine Image with Robustness to Speckle and Regular Occlusion Noise

Zixun Huang, Li-Wen Wang, Frank H. F. Leung +6

3D ultrasound imaging shows great promise for scoliosis diagnosis thanks to its low-costing, radiation-free and real-time characteristics. The key to accessing scoliosis by ultraso…

cs.CV2020★ 14 cited

AIM 2020: Scene Relighting and Illumination Estimation Challenge

Majed El Helou, Ruofan Zhou, Sabine Süsstrunk +34

We review the AIM 2020 challenge on virtual image relighting and illumination estimation. This paper presents the novel VIDIT dataset used in the challenge and the different propos…

cs.CV2020★ 20 cited

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Pengxu Wei, Hannan Lu, Radu Timofte +68

This paper introduces the real image Super-Resolution (SR) challenge that was part of the Advances in Image Manipulation (AIM) workshop, held in conjunction with ECCV 2020. This ch…

cs.CV2020★ 1 cited

DeepGIN: Deep Generative Inpainting Network for Extreme Image Inpainting

Chu-Tak Li, Wan-Chi Siu, Zhi-Song Liu +2

The degree of difficulty in image inpainting depends on the types and sizes of the missing parts. Existing image inpainting approaches usually encounter difficulties in completing…

cs.CV2020★ 4 cited

Deep Relighting Networks for Image Light Source Manipulation

Li-Wen Wang, Wan-Chi Siu, Zhi-Song Liu +2

Manipulating the light source of given images is an interesting task and useful in various applications, including photography and cinematography. Existing methods usually require…

cs.CV2020★ 3 cited

Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder

Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang +3

Benefited from the deep learning, image Super-Resolution has been one of the most developing research fields in computer vision. Depending upon whether using a discriminator or not…