Conan: Conditional neural aggregation network for unconstrained face feature fusion

B Jawade, DD Mohan, D Fedorishin… - … Joint Conference on …, 2023 - ieeexplore.ieee.org
Face recognition from image sets acquired under unregulated and uncontrolled settings,
such as at large distances, low resolutions, varying viewpoints, illumination, pose, and …

CoNAN: Conditional Neural Aggregation Network For Unconstrained Long Range Biometric Feature Fusion

B Jawade, DD Mohan, P Shetty… - … and Identity Science, 2024 - ieeexplore.ieee.org
Person recognition from image sets acquired under unregulated and uncontrolled settings,
such as at large distances, low resolutions, varying viewpoints, illumination, pose, and …

[PDF][PDF] On Attribute Aware Open-Set Face Verification.

AK Subramanian, AM Namboodiri - VISIGRAPP (5: VISAPP), 2023 - scitepress.org
Deep Learning on face recognition problems has shown extremely high accuracy owing to
their ability in finding strongly discriminating features. However, face images in the wild …

Robust Face Recognition Under Adverse Conditions

S Hörmann - 2023 - mediatum.ub.tum.de
This work focuses on face recognition under adverse conditions to remedy the shortcomings
of recent face recognition approaches. Two solutions are presented to cope with occluded …

Approaches to Face Verification Through Attribute-Based Attention

AK Subramanian, A Namboodiri - International Joint Conference on …, 2023 - Springer
Face recognition as a domain aims to generate salient representations of face images.
However, a face image has several facial attributes, such as eyeglasses, facial hair, etc. We …

ProxyFusion: Face Feature Aggregation Through Sparse Experts

B Jawade, A Stone, DD Mohan, X Wang… - The Thirty-eighth Annual … - openreview.net
Face feature fusion is indispensable for robust face recognition, particularly in scenarios
involving long-range, low-resolution media (unconstrained environments) where not all …