Deep learning for visible-infrared cross-modality person re-identification: A comprehensive review
Visible-infrared cross-modality person re-identification (VI-ReID) is currently a prevalent but
challenging research topic in computer vision, since it can remedy the poor performance of …
challenging research topic in computer vision, since it can remedy the poor performance of …
RGB-T image analysis technology and application: A survey
Abstract RGB-Thermal infrared (RGB-T) image analysis has been actively studied in recent
years. In the past decade, it has received wide attention and made a lot of important …
years. In the past decade, it has received wide attention and made a lot of important …
Structure-aware positional transformer for visible-infrared person re-identification
Visible-infrared person re-identification (VI-ReID) is a cross-modality retrieval problem,
which aims at matching the same pedestrian between the visible and infrared cameras. Due …
which aims at matching the same pedestrian between the visible and infrared cameras. Due …
Visible–infrared person re-identification via patch-mixed cross-modality learning
Visible–infrared person re-identification (VI-ReID) aims to retrieve images of the same
pedestrian from different modalities, where the challenges lie in the significant modality …
pedestrian from different modalities, where the challenges lie in the significant modality …
Intermediary-Guided Bidirectional Spatial–Temporal Aggregation Network for Video-Based Visible-Infrared Person Re-Identification
This work focuses on the task of Video-based Visible-Infrared Person Re-Identification, a
promising technique for achieving 24-hour surveillance systems. Two main issues in this …
promising technique for achieving 24-hour surveillance systems. Two main issues in this …
Enhanced invariant feature joint learning via modality-invariant neighbor relations for cross-modality person re-identification
G Du, L Zhang - IEEE Transactions on Circuits and Systems for …, 2023 - ieeexplore.ieee.org
Cross-modality visible-Infrared person re-identification (cm-ReID) is extremely challenging
due to the huge modality discrepancy between RGB and IR modalities. Existing methods …
due to the huge modality discrepancy between RGB and IR modalities. Existing methods …
SYRER: Synergistic Relational Reasoning for RGB-D Cross-modal Re-identification
RGB-D cross-modal person re-identification is designed to match the people across the
RGB and depth image modalities, where the large modality discrepancy makes this task …
RGB and depth image modalities, where the large modality discrepancy makes this task …
Cross-modality channel mixup and modality decorrelation for rgb-infrared person re-identification
B Hua, J Zhang, Z Li, Y Ge - IEEE Transactions on Biometrics …, 2023 - ieeexplore.ieee.org
This paper focuses on RGB-infrared person re-identification, which is challenged by a large
modality gap between RGB and infrared images. Most existing methods attempt to learn …
modality gap between RGB and infrared images. Most existing methods attempt to learn …
Unsupervised person Re-identification: A review of recent works
Abstract Re-identification (Re-ID) is a process that seeks to identify concern individuals from
successive non-overlap** photographs. The area of computer vision has recently seen an …
successive non-overlap** photographs. The area of computer vision has recently seen an …
Mir-gan: Refining frame-level modality-invariant representations with adversarial network for audio-visual speech recognition
Audio-visual speech recognition (AVSR) attracts a surge of research interest recently by
leveraging multimodal signals to understand human speech. Mainstream approaches …
leveraging multimodal signals to understand human speech. Mainstream approaches …