Search Results for author:
Found 4 papers, 3 papers with code
E-Render: Enabling UHD-Quality Cloud Gaming Through Edge Rendering
To realize it, however, we need to effectively reduce the amount and latency of graphics commands transfer from the game engine in the cloud to the graphics engine in the edge server.
A supervised-learning-based strategy for optimal demand response of an HVAC System
Optimal DR of HVAC units is challenging, particularly for multi-zone buildings, because this requires detailed physics-based models of zonal temperature variations for HVAC system operation and building thermal conditions.
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks
We propose an approach to address two issues that commonly occur during training of unsupervised GANs.
TGIF-QA: Toward Spatio-Temporal Reasoning in Visual Question Answering
In this paper, we focus on extending VQA to the video domain and contribute to the literature in three important ways.
Ranked #30 on
Visual Question Answering (VQA)
on MSRVTT-QA
