5 papers · 1 filter
Invoice Haystack: Benchmarking Document Retrieval and Visual Question Answering Under Strong Visual Homogeneity
Heethanjan Kanagalingam, Thenukan Pathmanathan, Mokeeshan Vathanakumar +3
Vision Language Models have achieved near-human performance on single-document Visual Question Answering, yet their effectiveness degrades significantly when retrieving information…
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…
AdvBlur: Adversarial Blur for Robust Diabetic Retinopathy Classification and Cross-Domain Generalization
Heethanjan Kanagalingam, Thenukan Pathmanathan, Mokeeshan Vathanakumar +1
Diabetic retinopathy (DR) is a leading cause of vision loss worldwide, yet early and accurate detection can significantly improve treatment outcomes. While numerous Deep learning (…
A Feature Generator for Few-Shot Learning
Heethanjan Kanagalingam, Thenukan Pathmanathan, Navaneethan Ketheeswaran +3
Few-shot learning (FSL) aims to enable models to recognize novel objects or classes with limited labelled data. Feature generators, which synthesize new data points to augment limi…