activity
20202024
most citedHierarchical Regression Network for Spectral Reconstruction from RGB Images

7 citations · 11 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

Enhancing Historical Image Retrieval with Compositional Cues

Tingyu Lin, Robert Sablatnig

In analyzing vast amounts of digitally stored historical image data, existing content-based retrieval methods often overlook significant non-semantic information, limiting their ef…

cs.CL2023★ 3 cited

CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation

Weixiang Yan, Haitian Liu, Yunkun Wang +8

Large Language Models (LLMs) have demonstrated remarkable performance on assisting humans in programming and facilitating programming automation. However, existing benchmarks for e…

cs.CV2020

Legacy Photo Editing with Learned Noise Prior

Zhao Yuzhi, Po Lai-Man, Wang Xuehui +5

There are quite a number of photographs captured under undesirable conditions in the last century. Thus, they are often noisy, regionally incomplete, and grayscale formatted. Conve…

eess.IV2020★ 7 cited

Hierarchical Regression Network for Spectral Reconstruction from RGB Images

Yuzhi Zhao, Lai-Man Po, Qiong Yan +2

Capturing visual image with a hyperspectral camera has been successfully applied to many areas due to its narrow-band imaging technology. Hyperspectral reconstruction from RGB imag…

eess.IV2020★ 1 cited

NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image

Boaz Arad, Radu Timofte, Ohad Ben-Shahar +4

This paper reviews the second challenge on spectral reconstruction from RGB images, i.e., the recovery of whole-scene hyperspectral (HS) information from a 3-channel RGB image. As…