Gait Recognition
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Benchmarks
Most implemented
GaitPart: Temporal Part-Based Model for Gait Recognition
KeyPoint Relative Position Encoding for Face Recognition
GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
Open-Set Biometrics: Beyond Good Closed-Set Models
BigGait: Learning Gait Representation You Want by Large Vision Models
Papers
Who Remains, What Changes: Identity Anchored Composed Gait Retrieval
Gait recognition has achieved remarkable progress, yet existing methods remain confined to rigid visual matching and often overlook the potential of natural language instructions for interactive retrieval. In this paper,…
Gait RecognitionText-guided Feature Disentanglement for Cross-modal Gait Recognition
Gait recognition is a biometric technique that identifies individuals based on their walking patterns, offering advantages in long-range, non-intrusive scenarios. However, real-world scenarios often involve heterogeneous…
Gait RecognitionDiffCrossGait: Trajectory-Level Alignment for 2D-3D Cross-Modal Gait Recognition via Latent Diffusion
Cross-modal 2D-3D gait recognition is impeded by inherent domain discrepancies between 2D silhouette and 3D LiDAR range-view representations. While prior methods align only final embeddings, we propose DiffCrossGait, whi…
Gait RecognitionEventGait: Towards Robust Gait Recognition with Event Streams
Gait recognition enables non-intrusive, privacy-preserving identification but suffers in uncontrolled environments due to illumination and motion sensitivity of conventional cameras. In this work, we explore gait recogni…
Gait RecognitionLocal Spatiotemporal Convolutional Network for Robust Gait Recognition
Gait recognition, as a promising biometric technology, identifies individuals through their unique walking patterns and offers distinctive advantages including non-invasiveness, long-range applicability, and resistance t…
Gait RecognitionGaitProtector: Impersonation-Driven Gait De-Identification via Training-Free Diffusion Latent Optimization
Conventional gait de-identification methods often encounter an inherent trade-off: they either provide insufficient identity suppression or introduce spatiotemporal distortions that impede structure-sensitive downstream …
Gait Recognition