4 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…
PortionNet: Distilling 3D Geometric Knowledge for Food Nutrition Estimation
Darrin Bright, Rakshith Raj, Kanchan Keisham
Accurate food nutrition estimation from single images is challenging due to the loss of 3D information. While depth-based methods provide reliable geometry, they remain inaccessibl…