most citedSelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors

8 citations · 10 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2024

Digital Storytelling for Competence Development in Games

Edgar Santos, Claudia Ribeiro, Manuel Fradinho +1

The acquisition of complex knowledge and competences raises difficult challenges for the supporting tools within the corporate environment, which digital storytelling presents a po…

cs.CV20248 cited

SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors

Alexandre Duarte, Francisco Fernandes, João M. Pereira +3

Depth maps produced by consumer-grade sensors suffer from inaccurate measurements and missing data from either system or scene-specific sources. Data-driven denoising algorithms ca…

cs.GR2024

Building An Efficient Grid On GPU

Vasco Costa, João M. Pereira, Joaquim Jorge

Grid space partitioning is a technique to speed up queries to graphics databases. We present a parallel grid construction algorithm which can efficiently construct a structured gri…

cs.LG20242 cited

Probabilistic Demand Forecasting with Graph Neural Networks

Nikita Kozodoi, Elizaveta Zinovyeva, Simon Valentin +2

Demand forecasting is a prominent business use case that allows retailers to optimize inventory planning, logistics, and core business decisions. One of the key challenges in deman…

cs.GR2023

Survey of Rigid Body Simulation with Extended Position Based Dynamics

Miguel Luis Nunes Seabra, Daniel Simões Lopes, João Madeiras Pereira

Interactive real-time rigid body simulation is a crucial tool in any modern game engine or 3D authoring tool. The quest for fast, robust and accurate simulations is ever evolving.…