4 citations · 4 across the 5 of their papers we have counts for
8 papers · 1 filter
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…