8 citations · 21 across the 16 of their papers we have counts for
16 papers
ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization
Kanchan Keisham, Thenukan Pathmanathan, Thangarajah Akilan
Zero-shot Temporal Action Localization (ZS-TAL) aims to detect and locate previously unseen actions in untrimmed videos. However, existing approaches primarily focus on modeling lo…
xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR
Thenukan Pathmanathan, Kanchan Keisham, Thangarajah Akilan
Point cloud segmentation is a fundamental task in 3D scene understanding. Its progress is constrained by the high cost and time required for dense 3D annotations, making labeled sa…
DAS-SK: An Adaptive Model Integrating Dual Atrous Separable and Selective Kernel CNN for Agriculture Semantic Segmentation
Mei Ling Chee, Thangarajah Akilan, Aparna Ravindra Phalke +1
Semantic segmentation in high-resolution agricultural imagery demands models that strike a careful balance between accuracy and computational efficiency to enable deployment in pra…
Thermal Imaging-based Real-time Fall Detection using Motion Flow and Attention-enhanced Convolutional Recurrent Architecture
Christopher Silver, Thangarajah Akilan
Falls among seniors are a major public health issue. Existing solutions using wearable sensors, ambient sensors, and RGB-based vision systems face challenges in reliability, user c…
Dual Atrous Separable Convolution for Improving Agricultural Semantic Segmentation
Chee Mei Ling, Thangarajah Akilan, Aparna Ravinda Phalke
Agricultural image semantic segmentation is a pivotal component of modern agriculture, facilitating accurate visual data analysis to improve crop management, optimize resource util…
Self-Supervised Learning for Image Segmentation: A Comprehensive Survey
Thangarajah Akilan, Nusrat Jahan, Wandong Zhang
Supervised learning demands large amounts of precisely annotated data to achieve promising results. Such data curation is labor-intensive and imposes significant overhead regarding…
Benchmarking Deep Learning Models on NVIDIA Jetson Nano for Real-Time Systems: An Empirical Investigation
Tushar Prasanna Swaminathan, Christopher Silver, Thangarajah Akilan
The proliferation of complex deep learning (DL) models has revolutionized various applications, including computer vision-based solutions, prompting their integration into real-tim…
Phasor-Driven Acceleration for FFT-based CNNs
Eduardo Reis, Thangarajah Akilan, Mohammed Khalid
Recent research in deep learning (DL) has investigated the use of the Fast Fourier Transform (FFT) to accelerate the computations involved in Convolutional Neural Networks (CNNs) b…
Low-light Pedestrian Detection in Visible and Infrared Image Feeds: Issues and Challenges
Thangarajah Akilan, Hrishikesh Vachhani
Pedestrian detection has become a cornerstone for several high-level tasks, including autonomous driving, intelligent transportation, and traffic surveillance. There are several wo…
Advanced Deep Regression Models for Forecasting Time Series Oil Production
Siavash Hosseini, Thangarajah Akilan
Global oil demand is rapidly increasing and is expected to reach 106.3 million barrels per day by 2040. Thus, it is vital for hydrocarbon extraction industries to forecast their pr…
Multi-class Brain Tumor Segmentation using Graph Attention Network
Dhrumil Patel, Dhruv Patel, Rudra Saxena +1
Brain tumor segmentation from magnetic resonance imaging (MRI) plays an important role in diagnostic radiology. To overcome the practical issues in manual approaches, there is a hu…
ANOVA-based Automatic Attribute Selection and a Predictive Model for Heart Disease Prognosis
Mohammed Nowshad Ruhani Chowdhury, Wandong Zhang, Thangarajah Akilan
Studies show that Studies that cardiovascular diseases (CVDs) are malignant for human health. Thus, it is important to have an efficient way of CVD prognosis. In response to this,…
Global Attention-based Encoder-Decoder LSTM Model for Temperature Prediction of Permanent Magnet Synchronous Motors
Jun Li, Thangarajah Akilan
Temperature monitoring is critical for electrical motors to determine if device protection measures should be executed. However, the complexity of the internal structure of Permane…
CxSE: Chest X-ray Slow Encoding CNN forCOVID-19 Diagnosis
Thangarajah Akilan
The coronavirus continues to disrupt our everyday lives as it spreads at an exponential rate. It needs to be detected quickly in order to quarantine positive patients so as to avoi…
A Hybrid Learner for Simultaneous Localization and Mapping
Thangarajah Akilan, Edna Johnson, Japneet Sandhu +2
Simultaneous localization and mapping (SLAM) is used to predict the dynamic motion path of a moving platform based on the location coordinates and the precise mapping of the physic…
A Foreground Inference Network for Video Surveillance Using Multi-View Receptive Field
Thangarajah Akilan
Foreground (FG) pixel labelling plays a vital role in video surveillance. Recent engineering solutions have attempted to exploit the efficacy of deep learning (DL) models initially…