4 citations · 9 across the 8 of their papers we have counts for
9 papers
FleetScape: A Mixed Reality Sandtable for Spatial Supervision and Control of Scalable Drone Fleets
Peisen Xu, Jérémie Garcia, Peter Cleveland +2
As autonomous drone deployments scale from individual units to coordinated swarms, the human operator's role shifts from direct piloting to high-level supervision. Current interfac…
EvoGS: Constructing Continuous-Layered Gaussian Splatting with Evolution Tree for Scalable 3D Streaming
Yuang Shi, Simone Gasparini, Géraldine Morin +1
Streaming 3D Gaussian Splatting requires highly scalable, progressive representations. Existing progressive methods rely on \textit{discrete layering}, accumulating separate splat…
P-GSVC: Layered Progressive 2D Gaussian Splatting for Scalable Image and Video
Longan Wang, Yuang Shi, Wei Tsang Ooi
Gaussian splatting has emerged as a competitive explicit representation for image and video reconstruction. In this work, we present P-GSVC, the first layered progressive 2D Gaussi…
Sketch&Patch++: Efficient Structure-Aware 3D Gaussian Representation
Yuang Shi, Géraldine Morin, Simone Gasparini +1
We observe that Gaussians exhibit distinct roles and characteristics analogous to traditional artistic techniques -- like how artists first sketch outlines before filling in broade…
SafeSpect: Safety-First Augmented Reality Heads-up Display for Drone Inspections
Peisen Xu, Jérémie Garcia, Wei Tsang Ooi +1
Current tablet-based interfaces for drone operations often impose a heavy cognitive load on pilots and reduce situational awareness by dividing attention between the video feed and…
Sketch and Patch: Efficient 3D Gaussian Representation for Man-Made Scenes
Yuang Shi, Simone Gasparini, Géraldine Morin +2
3D Gaussian Splatting (3DGS) has emerged as a promising representation for photorealistic rendering of 3D scenes. However, its high storage requirements pose significant challenges…
GSVC: Efficient Video Representation and Compression Through 2D Gaussian Splatting
Longan Wang, Yuang Shi, Wei Tsang Ooi
3D Gaussian splats have emerged as a revolutionary, effective, learned representation for static 3D scenes. In this work, we explore using 2D Gaussian splats as a new primitive for…
LapisGS: Layered Progressive 3D Gaussian Splatting for Adaptive Streaming
Yuang Shi, Géraldine Morin, Simone Gasparini +1
The rise of Extended Reality (XR) requires efficient streaming of 3D online worlds, challenging current 3DGS representations to adapt to bandwidth-constrained environments. This pa…
CAESAR: Enhancing Federated RL in Heterogeneous MDPs through Convergence-Aware Sampling with Screening
Hei Yi Mak, Flint Xiaofeng Fan, Luca A. Lanzendörfer +3
In this study, we delve into Federated Reinforcement Learning (FedRL) in the context of value-based agents operating across diverse Markov Decision Processes (MDPs). Existing FedRL…