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Found 30 papers, 11 papers with code
A Comprehensive Review of Artificial Intelligence Applications in Major Retinal Conditions
This paper provides a systematic survey of retinal diseases that cause visual impairments or blindness, emphasizing the importance of early detection for effective treatment.
3D-TexSeg: Unsupervised Segmentation of 3D Texture using Mutual Transformer Learning
Analysis of the 3D Texture is indispensable for various tasks, such as retrieval, segmentation, classification, and inspection of sculptures, knitted fabrics, and biological tissues.
A Robust Adversary Detection-Deactivation Method for Metaverse-oriented Collaborative Deep Learning
Metaverse is trending to create a digital circumstance that can transfer the real world to an online platform supported by large quantities of real-time interactions.
Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement
The method has resulted in a significant performance improvement, of up to 5. 0% AUC, of state-of-the-art (SOTA) visual trackers.
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.
Tomato Maturity Recognition with Convolutional Transformers
In this paper, the authors propose a novel method for tomato maturity classification using a convolutional transformer.
Unsupervised Mutual Transformer Learning for Multi-Gigapixel Whole Slide Image Classification
There has been a surge of research in deep learning models for WSI classification with clinical applications such as cancer detection or prediction of molecular mutations from WSIs.
GhostFaceNets: Lightweight Face Recognition Model From Cheap Operations
The development of deep learning-based biometric models that can be deployed on devices with constrained memory and computational resources has proven to be a significant challenge.
Ranked #1 on
Face Recognition
on CFP-FF
Speaker Identification from emotional and noisy speech data using learned voice segregation and Speech VGG
Speech signals are subjected to more acoustic interference and emotional factors than other signals.
Person Monitoring by Full Body Tracking in Uniform Crowd Environment
The dataset was generated in four different scenarios where mainly the target was moving alongside the crowd, sometimes occluding with them, and other times the camera's view of the target is blocked by the crowd for a short period.
Graph CNN for Moving Object Detection in Complex Environments from Unseen Videos
Moving Object Detection (MOD) is a fundamental step for many computer vision applications.
Robot Person Following in Uniform Crowd Environment
We present a new robot person tracking system with a new RGB-D tracker, Deep Tracking with RGB-D (DTRD) that is resilient to tricky challenges introduced by the uniform crowd environment.
Real-Time Face Recognition System
Over the past few decades, interest in algorithms for face recognition has been growing rapidly and has even surpassed human-level performance.
Underwater Image Enhancement Using Pre-trained Transformer
The goal of this work is to apply a denoising image transformer to remove the distortion from underwater images and compare it with other similar approaches.
A Novel Incremental Learning Driven Instance Segmentation Framework to Recognize Highly Cluttered Instances of the Contraband Items
Screening cluttered and occluded contraband items from baggage X-ray scans is a cumbersome task even for the expert security staff.
Temporal Fusion Based Mutli-scale Semantic Segmentation for Detecting Concealed Baggage Threats
Detection of illegal and threatening items in baggage is one of the utmost security concern nowadays.
Incremental Cross-Domain Adaptation for Robust Retinopathy Screening via Bayesian Deep Learning
Retinopathy represents a group of retinal diseases that, if not treated timely, can cause severe visual impairments or even blindness.
Automated segmentation and extraction of posterior eye segment using OCT scans
This paper proposes an automated method for the segmentation and extraction of the posterior segment of the human eye, including the vitreous, retina, choroid, and sclera compartments, using multi-vendor optical coherence tomography (OCT) scans.
Tensor Pooling Driven Instance Segmentation Framework for Baggage Threat Recognition
Furthermore, to the best of our knowledge, this is the first contour instance segmentation framework that leverages multi-scale information to recognize cluttered and concealed contraband data from the colored and grayscale security X-ray imagery.
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
Identifying potential threats concealed within the baggage is of prime concern for the security staff.
A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide Images
Prostate cancer (PCa) is the second deadliest form of cancer in males, and it can be clinically graded by examining the structural representations of Gleason tissues.
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression
Significance: An RGC-aware system not only screens glaucoma but can also grade its severity and here we present an end-to-end solution that is thoroughly evaluated on a standardized dataset and is clinically validated for analyzing glaucomatous pathologies.
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion
Detecting baggage threats is one of the most difficult tasks, even for expert officers.
Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions
Retinal lesions play a vital role in the accurate classification of retinal abnormalities.
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
In the last two decades, baggage scanning has globally become one of the prime aviation security concerns.
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression
In addition, the ocular traits among various biometric traits are preferably used in these recognition systems.
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from Multi-Vendor X-ray Scans
In the last two decades, luggage scanning has globally become one of the prime aviation security concerns.
Learned 3D Shape Representations Using Fused Geometrically Augmented Images: Application to Facial Expression and Action Unit Detection
Our approach defines an inverse mapping between different geometric descriptors computed on the mesh surface or its down-sampled version, and the corresponding 2D texture image of the mesh, allowing the construction of fused geometrically augmented images (FGAI).
Joint Registration and Representation Learning for Unconstrained Face Identification
We validate the proposed scheme on template based unconstrained face identification.
Representing 3D Texture on Mesh Manifolds for Retrieval and Recognition Applications
In this paper, we present and experiment a novel approach for representing texture of 3D mesh manifolds using local binary patterns (LBP).
