Search Results for author:
Found 13 papers, 11 papers with code
Explainable Model-Agnostic Similarity and Confidence in Face Verification
This work focuses on explanations for face recognition systems, vital for developers and operators.
Synthehicle: Multi-Vehicle Multi-Camera Tracking in Virtual Cities
Smart City applications such as intelligent traffic routing or accident prevention rely on computer vision methods for exact vehicle localization and tracking.
Ranked #1 on
Multi-Object Tracking
on Synthehicle
Octuplet Loss: Make Face Recognition Robust to Image Resolution
To address this problem, we propose a novel combination of the popular triplet loss to improve robustness against image resolution via fine-tuning of existing face recognition models.
Ranked #1 on
Face Recognition
on XQLFW
Face Morphing: Fooling a Face Recognition System Is Simple!
State-of-the-art face recognition (FR) approaches have shown remarkable results in predicting whether two faces belong to the same identity, yielding accuracies between 92% and 100% depending on the difficulty of the protocol.
Towards a Deeper Understanding of Skeleton-based Gait Recognition
Gait recognition is a promising biometric with unique properties for identifying individuals from a long distance by their walking patterns.
Cross-Quality LFW: A Database for Analyzing Cross-Resolution Image Face Recognition in Unconstrained Environments
Real-world face recognition applications often deal with suboptimal image quality or resolution due to different capturing conditions such as various subject-to-camera distances, poor camera settings, or motion blur.
Susceptibility to Image Resolution in Face Recognition and Trainings Strategies
In this work, we first analyze the impact of image resolutions on face verification performance with a state-of-the-art face recognition model.
Attention-based Partial Face Recognition
In this paper, we propose a novel approach to partial face recognition capable of recognizing faces with different occluded areas.
GaitGraph: Graph Convolutional Network for Skeleton-Based Gait Recognition
However, silhouette images can lose fine-grained spatial information, and most papers do not regard how to obtain these silhouettes in complex scenes.
Ranked #12 on
Multiview Gait Recognition
on CASIA-B
Lightweight Multi-Branch Network for Person Re-Identification
Person Re-Identification aims to retrieve person identities from images captured by multiple cameras or the same cameras in different time instances and locations.
Ranked #1 on
Person Re-Identification
on Market-1501
(mINP metric)
Dissected 3D CNNs: Temporal Skip Connections for Efficient Online Video Processing
Convolutional Neural Networks with 3D kernels (3D-CNNs) currently achieve state-of-the-art results in video recognition tasks due to their supremacy in extracting spatiotemporal features within video frames.
A Multi-Task Comparator Framework for Kinship Verification
Approaches for kinship verification often rely on cosine distances between face identification features.
Convolutional Neural Networks with Layer Reuse
In this paper, we propose a CNN architecture, Layer Reuse Network (LruNet), where the convolutional layers are used repeatedly without the need of introducing new layers to get a better performance.
