Search Results for author:
Found 16 papers, 6 papers with code
RayDF: Neural Ray-surface Distance Fields with Multi-view Consistency
In this paper, we study the problem of continuous 3D shape representations.
A Novel Deep Learning based Model for Erythrocytes Classification and Quantification in Sickle Cell Disease
We chose SCD as a model disease condition due to the presence of diverse erythrocyte morphologies in the blood samples of SCD patients.
Cashew dataset generation using augmentation and RaLSGAN and a transfer learning based tinyML approach towards disease detection
Cashew is one of the most extensively consumed nuts in the world, and it is also known as a cash crop.
A Characteristic Function-Based Method for Bottom-Up Human Pose Estimation
Therefore, via minimizing the distance between the two characteristic functions, we can optimize the model to provide a more accurate localization result for the body joints in different sub-regions of the predicted heatmap.
Think Twice Before Detecting GAN-Generated Fake Images From Their Spectral Domain Imprints
We show from our experiments that the artifacts in frequency spectrum of such fake images can be mitigated by proposed methods, which leads to the sharp decrease of performance of spectrum-based detectors.
Accurate 3D Finger Knuckle Recognition Using Auto-Generated Similarity Functions
This article advances the state-of-the-art method by introducing a new curvature based feature descriptor and a method to compute the similarity functions based on the statistical distribution of the encoded feature space.
Deep Feature Collaboration for Challenging 3D Finger Knuckle Identification
This paper attempts to address the above challenges and introduces a new deep neural network based approach for the contactless 3D finger knuckle identification.
Efficient and Accurate 3D Finger Knuckle Matching Using Surface Key Points
The current 3D finger knuckle recognition methods are limited by computationally complex or inefficient matching algorithms, which attempt to compute the matching scores from all possible translational and rotational parameters for matching a pair of templates.
Contactless Biometric Identification using 3D Finger Knuckle Patterns
Although our feature descriptor is designed for 3D finger knuckle patterns, it is also attractive for other hand-based biometric identifiers with similar patterns such as the palmprint and fingerprint.
Segmentation-Aware and Adaptive Iris Recognition
The periocular information is inherently embedded in such iris images and can be exploited to assist in the iris recognition under such non-ideal scenarios.
A Collaborative Approach using Ridge-Valley Minutiae for More Accurate Contactless Fingerprint Identification
This paper develops a new approach to significantly improve contactless fingerprint matching capabilities available today.
Matrix Product State Based Quantum Classifier
In this paper, we have shown that matrix product state as one-dimensional array of tensors can be used to classify classical and quantum data.
A Deep Learning based Framework to Detect and Recognize Humans using Contactless Palmprints in the Wild
Contactless and online palmprint identfication offers improved user convenience, hygiene, user-security and is highly desirable in a range of applications.
Revisiting Outlier Rejection Approach for Non-Lambertian Photometric Stereo
This paper presents two novel outlier rejection techniques that attempt to identify the data that are more reliable and likely to be Lambertian.
Towards More Accurate Iris Recognition Using Deeply Learned Spatially Corresponding Features
This paper proposes an accurate and generalizable deep learning framework for iris recognition.
Towards Contactless, Low-Cost and Accurate 3D Fingerprint Identification
In order to avail the benefits of higher user convenience, hygiene, and improved accuracy, contactless 3D fingerprint recognition techniques have recently been introduced.
