2 citations · 3 across the 8 of their papers we have counts for
10 papers · 1 filter
O-SCD++: Replay-Free Online Scene Change Detection via Recursive Evidence Fusion
Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim +4
Online scene change detection requires an agent to detect what has changed in a previously mapped environment while it is still on site, observing from unconstrained viewpoints and…
PlenoCI: Plenoptic CharacterIstics for View Dependence Aware Change Classification
Jason Lai, Chamuditha Jayanga Galappaththige, Niko Suenderhauf +2
Radiance field representations such as 3D Gaussian Splatting (3DGS) natively encode complex visual phenomena such as occlusions and view dependence, but they are inherently underco…
From Pixels to Primitives: Scene Change Detection in 3D Gaussian Splatting
Chamuditha Jayanga Galappaththige, Jason Lai, Timothy Patten +3
Scene change detection methods built on Gaussian splatting universally follow a render-then-compare paradigm: the pre-change scene is rendered into 2D and compared against post-cha…
Predictive Photometric Uncertainty in Gaussian Splatting for Novel View Synthesis
Chamuditha Jayanga Galappaththige, Thomas Gottwald, Peter Stehr +4
Recent advances in 3D Gaussian Splatting have enabled impressive photorealistic novel view synthesis. However, to transition from a pure rendering engine to a reliable spatial map…
Changes in Real Time: Online Scene Change Detection with Multi-View Fusion
Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim +3
Online Scene Change Detection (SCD) is an extremely challenging problem that requires an agent to detect relevant changes on the fly while observing the scene from unconstrained vi…
Domain-Agnostic Feature Modulation for Semi-Supervised Domain Generalization
Venuri Amarasinghe, Kalinga Bandara, Isun Randila +3
Semi-supervised domain generalization (SSDG) leverages a small fraction of labeled data alongside unlabeled data to enhance model generalization. Most of the existing SSDG methods…
Multi-View Pose-Agnostic Change Localization with Zero Labels
Chamuditha Jayanga Galappaththige, Jason Lai, Lloyd Windrim +3
Autonomous agents often require accurate methods for detecting and localizing changes in their environment, particularly when observations are captured from unconstrained and incon…
Domain-Guided Weight Modulation for Semi-Supervised Domain Generalization
Chamuditha Jayanaga Galappaththige, Zachary Izzo, Xilin He +2
Unarguably, deep learning models capable of generalizing to unseen domain data while leveraging a few labels are of great practical significance due to low developmental costs. In…
Towards Generalizing to Unseen Domains with Few Labels
Chamuditha Jayanga Galappaththige, Sanoojan Baliah, Malitha Gunawardhana +1
We approach the challenge of addressing semi-supervised domain generalization (SSDG). Specifically, our aim is to obtain a model that learns domain-generalizable features by levera…
Generalizing to Unseen Domains in Diabetic Retinopathy Classification
Chamuditha Jayanga Galappaththige, Gayal Kuruppu, Muhammad Haris Khan
Diabetic retinopathy (DR) is caused by long-standing diabetes and is among the fifth leading cause for visual impairments. The process of early diagnosis and treatments could be he…