Search Results for author:
Found 41 papers, 4 papers with code
Synthesizing CTA Image Data for Type-B Aortic Dissection using Stable Diffusion Models
It has been shown that Cardiac CTA images can be successfully generated using using Text to Image (T2I) stable diffusion model.
Derm-T2IM: Harnessing Synthetic Skin Lesion Data via Stable Diffusion Models for Enhanced Skin Disease Classification using ViT and CNN
This study explores the utilization of Dermatoscopic synthetic data generated through stable diffusion models as a strategy for enhancing the robustness of machine learning model training.
Data Center Audio/Video Intelligence on Device (DAVID) -- An Edge-AI Platform for Smart-Toys
An overview is given of the DAVID Smart-Toy platform, one of the first Edge AI platform designs to incorporate advanced low-power data processing by neural inference models co-located with the relevant image or audio sensors.
Synthetic Speaking Children -- Why We Need Them and How to Make Them
Contemporary Human Computer Interaction (HCI) research relies primarily on neural network models for machine vision and speech understanding of a system user.
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer Learning
The approach involved finetuning a multi-speaker TTS model to work with child speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
A comparative analysis between Conformer-Transducer, Whisper, and wav2vec2 for improving the child speech recognition
We demonstrate that finetuning Conformer-transducer models on child speech yields significant improvements in ASR performance on child speech, compared to the non-finetuned models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Neuromorphic Seatbelt State Detection for In-Cabin Monitoring with Event Cameras
In a binary classification task, the fastened/unfastened frames were identified with an F1 score of 0. 989 and 0. 944 on the simulated and real test sets respectively.
Will your Doorbell Camera still recognize you as you grow old
This work explores the effect of age and aging on the performance of facial authentication methods.
A Comparative Study of Image-to-Image Translation Using GANs for Synthetic Child Race Data
The lack of ethnic diversity in data has been a limiting factor of face recognition techniques in the literature.
ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN
In this research work, we proposed a novel ChildGAN, a pair of GAN networks for generating synthetic boys and girls facial data derived from StyleGAN2.
Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems
Optical sensors have played a pivotal role in acquiring real world data for critical applications.
Adaptation of Whisper models to child speech recognition
We demonstrate that finetuning Whisper on child speech yields significant improvements in ASR performance on child speech, compared to non finetuned Whisper models.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Neuromorphic Sensing for Yawn Detection in Driver Drowsiness
An additional 12300 frames were generated from event simulations of a public dataset to test against other methods.
Dataset Creation Pipeline for Camera-Based Heart Rate Estimation
The data prepared is to include camera frames as well as sensor readings from an electrocardiograph sensor.
Development, Optimization, and Deployment of Thermal Forward Vision Systems for Advance Vehicular Applications on Edge Devices
In this research work, we have proposed a thermal tiny-YOLO multi-class object detection (TTYMOD) system as a smart forward sensing system that should remain effective in all weather and harsh environmental conditions using an end-to-end YOLO deep learning framework.
Speech Driven Video Editing via an Audio-Conditioned Diffusion Model
Taking inspiration from recent developments in visual generative tasks using diffusion models, we propose a method for end-to-end speech-driven video editing using a denoising diffusion model.
Event-based YOLO Object Detection: Proof of Concept for Forward Perception System
The focus is on building efficient state-of-the-art object detection networks with better inference results for fast-moving forward perception using an event camera.
DroneAttention: Sparse Weighted Temporal Attention for Drone-Camera Based Activity Recognition
To address such complexities, in this paper, we propose a novel Sparse Weighted Temporal Attention (SWTA) module to utilize sparsely sampled video frames for obtaining global weighted temporal attention.
SWTF: Sparse Weighted Temporal Fusion for Drone-Based Activity Recognition
To address such complexities, in this paper, we propose a novel Sparse Weighted Temporal Fusion (SWTF) module to utilize sparsely sampled video frames for obtaining global weighted temporal fusion outcome.
Control and Evaluation of Event Cameras Output Sharpness via Bias
To increase the users degree of freedom in controlling the output of these cameras, such as changing the sensitivity of the sensor to light changes, controlling the number of generated events and other similar operations, the camera manufacturers usually introduce some tools to make sensor level changes in camera settings.
Recurrent Super-Resolution Method for Enhancing Low Quality Thermal Facial Data
The process of obtaining high-resolution images from single or multiple low-resolution images of the same scene is of great interest for real-world image and signal processing applications.
A Wav2vec2-Based Experimental Study on Self-Supervised Learning Methods to Improve Child Speech Recognition
Our models outperformed the wav2vec2 BASE 960 on child speech which is considered a state-of-the-art ASR model on adult speech by just using 10 hours of child speech data in finetuning.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis
Speech synthesis has come a long way as current text-to-speech (TTS) models can now generate natural human-sounding speech.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Evaluation of Thermal Imaging on Embedded GPU Platforms for Application in Vehicular Assistance Systems
This study is focused on evaluating the real-time performance of thermal object detection for smart and safe vehicular systems by deploying the trained networks on GPU & single-board EDGE-GPU computing platforms for onboard automotive sensor suite testing.
Object Detection in Thermal Spectrum for Advanced Driver-Assistance Systems (ADAS)
Object detection in thermal infrared spectrum provides more reliable data source in low-lighting conditions and different weather conditions, as it is useful both in-cabin and outside for pedestrian, animal, and vehicular detection as well as for detecting street-signs & lighting poles.
Towards End-to-End Neural Face Authentication in the Wild - Quantifying and Compensating for Directional Lighting Effects
This work shows that an SoA neural face recognition model can be tuned to compensate for directional lighting effects, removing the need for a pre-processing step before applying facial recognition.
Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies
The same technique is also used on our thermal face data acquired using prototype thermal camera (developed under Heliaus EU project) in an indoor lab environment which is then used for generating synthetic 3D face data along with varying yaw face angles and lastly facial depth map is generated.
Re-Training StyleGAN -- A First Step Towards Building Large, Scalable Synthetic Facial Datasets
The role of this tool in building large, scalable datasets of synthetic facial data is also discussed.
Dataset Cleaning -- A Cross Validation Methodology for Large Facial Datasets using Face Recognition
In this work, it is presented a semi-automatic method for cleaning the noisy large face datasets with the use of face recognition.
Advanced Deep Learning Methodologies for Skin Cancer Classification in Prodromal Stages
The experimental results demonstrate notable improvement in train and validation accuracy by using the refined version of images of both the networks, however, the Inception-v3 network was able to achieve better validation accuracy thus it was finally selected to evaluate it on test data.
Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review
As a biometric palmprints have been largely under-utilized, but they offer some advantages over fingerprints and facial biometrics.
Deep Neural Network and Data Augmentation Methodology for off-axis iris segmentation in wearable headsets
A data augmentation methodology is presented and applied to generate a large dataset of off-axis iris regions and train a low-complexity deep neural network.
Efficient CNN Implementation for Eye-Gaze Estimation on Low-Power/Low-Quality Consumer Imaging Systems
Accurate and efficient eye gaze estimation is important for emerging consumer electronic systems such as driver monitoring systems and novel user interfaces.
Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios
Conditional generators learn the data distribution for each class in a multi-class scenario and generate samples for a specific class given the right input from the latent space.
Versatile Auxiliary Regressor with Generative Adversarial network (VAR+GAN)
Conditional generators are one of the successful implementations of such models wherein the created samples are constrained to a specific class.
Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN)
One of the most interesting challenges in Artificial Intelligence is to train conditional generators which are able to provide labeled adversarial samples drawn from a specific distribution.
Face Synthesis with Landmark Points from Generative Adversarial Networks and Inverse Latent Space Mapping
There have been a tremendous amount of attempts to detect these points from facial images however, there has never been an attempt to synthesize a random face and generate its corresponding facial landmarks.
Image and Video Processing
An End to End Deep Neural Network for Iris Segmentation in Unconstraint Scenarios
Finally, the proposed model is compared with SegNet-basic, and a near-optimal tuning of the network is compared to a selection of other state-of-art iris segmentation algorithms.
Total Variation-Based Dense Depth from Multi-Camera Array
Evaluation of this method based on a well-known benchmark indicates that the proposed framework performs well in terms of accuracy when compared to the top-ranked depth estimation methods and a baseline algorithm.
The Application of Preconditioned Alternating Direction Method of Multipliers in Depth from Focal Stack
To tackle this issue, in this paper, a framework is proposed based on Preconditioned Alternating Direction Method of Multipliers (PADMM) for depth from the focal stack and synthetic defocus application.
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Smart Augmentation works by creating a network that learns how to generate augmented data during the training process of a target network in a way that reduces that networks loss.
