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Found 9 papers, 2 papers with code
NLPHut’s Participation at WAT2021
Our submission tops in English→Malayalam Multimodal translation task (text-only translation, and Malayalam caption), and ranks second-best in English→Hindi Multimodal translation task (text-only translation, and Hindi caption).
Multimodal Neural Machine Translation System for English to Bengali
Multimodal Machine Translation (MMT) systems utilize additional information from other modalities beyond text to improve the quality of machine translation (MT).
\textit{sweet} -- An Open Source Modular Platform for Contactless Hand Vascular Biometric Experiments
In this work we present a contactless vascular biometrics sensor platform named \sweet which can be used for hand vascular biometrics studies (wrist-, palm- and finger-vein) and surface features such as palmprint.
Latent Enhancing AutoEncoder for Occluded Image Classification
On the OccludedPASCAL3D+ dataset, the proposed LEARN outperforms standard classification models (VGG16 and ResNet-50) by a large margin and up to 2% over state-of-the-art methods.
EFaR 2023: Efficient Face Recognition Competition
To drive further development of efficient face recognition models, the submitted solutions are ranked based on a weighted score of the achieved verification accuracies on a diverse set of benchmarks, as well as the deployability given by the number of floating-point operations and model size.
EdgeFace: Efficient Face Recognition Model for Edge Devices
In this paper, we present EdgeFace, a lightweight and efficient face recognition network inspired by the hybrid architecture of EdgeNeXt.
Ranked #1 on
Lightweight Face Recognition
on CFP-FP
Residual Feature Pyramid Network for Enhancement of Vascular Patterns
The accuracy of finger vein recognition systems gets degraded due to low and uneven contrast between veins and surroundings, often resulting in poor detection of vein patterns.
Fairness Index Measures to Evaluate Bias in Biometric Recognition
While few, existing fairness measures are based on post-decision data (such as verification accuracy) of biometric systems, we discuss how pre-decision data (score distributions) provide useful insights towards demographic fairness.
HaVQA: A Dataset for Visual Question Answering and Multimodal Research in Hausa Language
This paper presents HaVQA, the first multimodal dataset for visual question-answering (VQA) tasks in the Hausa language.
