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20212025
most citedExploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification

5 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

Domain-Shared Learning and Gradual Alignment for Unsupervised Domain Adaptation Visible-Infrared Person Re-Identification

Nianchang Huang, Yi Xu, Ruida Xi +1

Recently, Visible-Infrared person Re-Identification (VI-ReID) has achieved remarkable performance on public datasets. However, due to the discrepancies between public datasets and…

cs.CV2024

Salient Object Detection From Arbitrary Modalities

Nianchang Huang, Yang Yang, Ruida Xi +3

Toward desirable saliency prediction, the types and numbers of inputs for a salient object detection (SOD) algorithm may dynamically change in many real-life applications. However,…

cs.CV2024

Modality Prompts for Arbitrary Modality Salient Object Detection

Nianchang Huang, Yang Yang, Qiang Zhang +2

This paper delves into the task of arbitrary modality salient object detection (AM SOD), aiming to detect salient objects from arbitrary modalities, eg RGB images, RGB-D images, an…

cs.CV20224 cited

On Exploring Pose Estimation as an Auxiliary Learning Task for Visible-Infrared Person Re-identification

Yunqi Miao, Nianchang Huang, Xiao Ma +2

Visible-infrared person re-identification (VI-ReID) has been challenging due to the existence of large discrepancies between visible and infrared modalities. Most pioneering approa…

cs.CV20215 cited

Exploring Modality-shared Appearance Features and Modality-invariant Relation Features for Cross-modality Person Re-Identification

Nianchang Huang, Jianan Liu, Qiang Zhang +1

Most existing cross-modality person re-identification works rely on discriminative modality-shared features for reducing cross-modality variations and intra-modality variations. De…