1 code implementation • 11 Jan 2022 • Yunqi Miao, Nianchang Huang, Xiao Ma, Qiang Zhang, Jungong Han
Visible-infrared person re-identification (VI-ReID) has been challenging due to the existence of large discrepancies between visible and infrared modalities.
no code implementations • CVPR 2022 • Qiang Zhang, Changzhou Lai, Jianan Liu, Nianchang Huang, Jungong Han
Then, a feature-level modality compensation module is present to generate those missing modality-specific features from existing modality-shared ones.
no code implementations • CVPR 2021 • Qiang Zhang, Shenlu Zhao, Yongjiang Luo, Dingwen Zhang, Nianchang Huang, Jungong Han
Semantic segmentation models gain robustness against poor lighting conditions by virtue of complementary information from visible (RGB) and thermal images.
Ranked #27 on Thermal Image Segmentation on MFN Dataset
no code implementations • 23 Apr 2021 • Nianchang Huang, Qiang Zhang, Jungong Han
The former one first uses two sub-networks to extract unimodal features from RGB and depth images, respectively, and then fuses them for SOD.
no code implementations • 23 Apr 2021 • Nianchang Huang, Jianan Liu, Qiang Zhang, Jungong Han
Most existing cross-modality person re-identification works rely on discriminative modality-shared features for reducing cross-modality variations and intra-modality variations.
Cross-Modality Person Re-identification Person Re-Identification