TAG: A Temporal AttentiveGait Network for Cross-View Gait Recognition
Authors: M. Saad Shakeel, K. Liu, X. Liao, and W. Kang
Published in: IEEE Transactions on Instrumentation and Measurement, 2024
📄 Read Paper | 💻 Code Coming SoonM. Saad Shakeel
Computer Vision | Pattern Recognition| Deep Learning | Biometrics | Gait Recognition
About Me
I am currently a Post-doc Researcher at the School of Automation Science and Engineering, South China University of Technology, Guangzhou, China. My research interests include computer vision, pattern recognition, and deep learning. My work primarily revolves around biometric recognition, with an emphasis on face and gait recognition.
Announcements
- 🎉 2026: Paper Accepted: Our paper entitled "Fine-Grained Spatial-Temporal Modeling for Point-Based Gait Recognition" has been accepted for publication in Machine Intelligence Research (IF: 8.7).
- 📄 2026: Shakeel et al. "Interactive Feature Learning Framework for Mask-Occluded Face Recognition", Pattern Analysis and Applications (IF: 2.0). [PDF] [Code]
Publications
MRGait: A Multi-range Feature Learning Framework for Cross-View Gait Recognition
Authors: M. Saad Shakeel, K. Liu, X. Liao, and W. Kang
Published in: ACM Multimedia Asia 2024, Auckland, NewZealand, 2024
CAAM: A Calibrated Augmented Attention Module for Masked Face Recognition
An attention-guided masked face recognition (MFR) method, named Calibrated Augmented Attention Module (CAAM) is proposed, which consists of two core components: Recursive Attention Gate (RAG) and an Augmented Feature Calibration Block (AFCB).
Read MoreResearch Projects
Human Gait Recognition in the Aerial Domain (Jan. 2025 - Dec. 2025)
This research study aims to address the novel problem of human gait identification in the aerial domain by exploring the gait structural information using 3D point clouds and RGB frames using deep learning..