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Found 8 papers, 1 papers with code
CCPA: Long-term Person Re-Identification via Contrastive Clothing and Pose Augmentation
Long-term Person Re-Identification (LRe-ID) aims at matching an individual across cameras after a long period of time, presenting variations in clothing, pose, and viewpoint.
Data Quality Aware Approaches for Addressing Model Drift of Semantic Segmentation Models
In the midst of the rapid integration of artificial intelligence (AI) into real world applications, one pressing challenge we confront is the phenomenon of model drift, wherein the performance of AI models gradually degrades over time, compromising their effectiveness in real-world, dynamic environments.
Attention-based Shape and Gait Representations Learning for Video-based Cloth-Changing Person Re-Identification
Our ASGL framework improves Re-ID performance under clothing variations by learning clothing-invariant gait cues using a Spatial-Temporal Graph Attention Network (ST-GAT).
Temporal 3D Shape Modeling for Video-Based Cloth-Changing Person Re-Identification
In this work, we propose "Temporal 3D ShapE Modeling for VCCRe-ID" (SEMI), a lightweight end-to-end framework that addresses these issues by learning human 3D shape representations.
A Survey of Feature Types and Their Contributions for Camera Tampering Detection
We formulate tampering detection as a time series analysis problem, and design experiments to study the robustness and capability of various feature types.
SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions in Person Re-Identification Systems
In this paper, we formulate an algorithm that maps the ranking process in a person re-identification algorithm to a problem in graph theory.
End-to-end 3D face reconstruction with deep neural networks
Inspired by the success of deep neural networks (DNN), we propose a DNN-based approach for End-to-End 3D FAce Reconstruction (UH-E2FAR) from a single 2D image.
GoDP: Globally optimized dual pathway system for facial landmark localization in-the-wild
Facial landmark localization is a fundamental module for pose-invariant face recognition.
