Cross-Modality Transformer With Modality Mining for Visible-Infrared Person Re-Identification

Supplementary Material for “RGB-Infrared Cross-Modality Person Re-Identification”

This supplementary material accompanies the paper “RGB-Infrared Cross-Modality Person Re-Identification”. It includes more details of Section 4, as well as extra evaluations of our proposed deep zero-padding method. 1. Details of Counting Domain-Specific Nodes In the third paragraph of Section 4.2 in the main manuscript, we quantify the number of domain-specific nodes in the trained network in ...

Cross Dataset Person Re-identification

Until now, most existing researches on person re-identification aim at improving the recognition rate on single dataset setting. The training data and testing data of these methods are form the same source. Although they have obtained high recognition rate in experiments, they usually perform poorly in practical applications. In this paper, we focus on the cross dataset person re-identification...

Hierarchical Cross Network for Person Re-identification

Person re-identification (person re-ID) aims at matching target person(s) grabbed from different and non-overlapping camera views. It plays an important role for public safety and has application in various tasks such as, human retrieval, human tracking, and activity analysis. In this paper, we propose a new network architecture called Hierarchical Cross Network (HCN) to perform person re-ID. I...

De re and De dicto Modality in Islamic Traditional Logic

Discriminating Visible Speech Tokens Using Multi-modality

We present a multimodal interactive data exploration tool that facilitates discrimination between visible speech tokens. The multimodal tool uses visualization and sonification (non-speech sound) of data. Visible speech tokens is a class of multidimensional data that have been used extensively in designing talking head that has been used in training of deaf individuals by watching speech [1]. V...