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Home/Authors/Thenukan Pathmanathan

Thenukan Pathmanathan

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
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Publications per year

2
26

Top categories

Vision×2AI×2

Frequent co-authors

Kanchan Keisham2×
Thangarajah Akilan2×

Research Timeline

2026
xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR

The paper proposes xModel-KD, a cross-modal knowledge distillation framework, to improve 3D point cloud segmentation by effectively transferring rich appearance cues from 2D images to sparse 3D geometry.

ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

The paper introduces ConTrans, a novel local-global multi-scale encoder that combines convolutional and transformer features to significantly improve zero-shot temporal action localization by capturing both fine-grained local details and long-range global context.

Highlighted terms show continued research focus across papers

Papers

cs.CVcs.AIRecentMay 29, 2026

ConTrans: Learning Text-enhanced Local-global Temporal Representations for Zero-shot Temporal Action Localization

Kanchan Keisham, Thenukan Pathmanathan, Thangarajah Akilan

The paper introduces ConTrans, a novel local-global multi-scale encoder that combines convolutional and transformer features to significantly improve zero-shot temporal action localization by capturin…

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cs.CVcs.AIRecentMay 28, 2026

xModel-KD: Cross-modal Knowledge Distillation for 3D Scene Perception using LiDAR

Thenukan Pathmanathan, Kanchan Keisham, Thangarajah Akilan

The paper proposes xModel-KD, a cross-modal knowledge distillation framework, to improve 3D point cloud segmentation by effectively transferring rich appearance cues from 2D images to sparse 3D geomet…

View →