Jianning Chi

most citedUG

^{2 +}

Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

36 citations · 36 across the 2 of their papers we have counts for

collaborators

2 papers

eess.IV2025

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation

Pengfei Lyu, Pak-Hei Yeung, Xiaosheng Yu +5

This paper addresses cross-modal medical image segmentation, focusing on MRI-CT transfer in a source-only domain generalization setting. During training, only source-modality sampl…

cs.CV2019★ 36 cited

UG $^{2 +}$ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG $^{2 +}$ challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation

UG2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

UG $^{2 +}$ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments