Nianchang Huang — accepted AI-conference papers

2022

FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification

Qiang Zhang, Changzhou Lai, Jianan Liu, Nianchang Huang, Jungong Han

CVPR 2022poster

For Visible-Infrared person Re-IDentification (VI-ReID), existing modality-specific information compensation based models try to generate the images of missing modality from existing ones for reducing cross-modality discrepancy. However, because of the large modality discrepancy between visible and…

Cited by 242 PDF ↗Scholar ↗

2021

ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation

Qiang Zhang, Shenlu Zhao, Yongjiang Luo, Dingwen Zhang, Nianchang Huang, Jungong Han

CVPR 2021poster

Semantic segmentation models gain robustness against poor lighting conditions by virtue of complementary information from visible (RGB) and thermal images. Despite its importance, most existing RGB-T semantic segmentation models perform primitive fusion strategies, such as concatenation, element-wis…

Cited by 178 PDF ↗Scholar ↗