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Found 8 papers, 1 papers with code
Hyperbolic Heterogeneous Graph Attention Networks
Most previous heterogeneous graph embedding models represent elements in a heterogeneous graph as vector representations in a low-dimensional Euclidean space.
DyBluRF: Dynamic Deblurring Neural Radiance Fields for Blurry Monocular Video
In response, we propose a novel dynamic deblurring NeRF framework for blurry monocular video, called DyBluRF, consisting of a Base Ray Initialization (BRI) stage and a Motion Decomposition-based Deblurring (MDD) stage.
COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability
Recently, neural network (NN)-based image compression studies have actively been made and has shown impressive performance in comparison to traditional methods.
Accurate Open-set Recognition for Memory Workload
How can we accurately identify new memory workloads while classifying known memory workloads?
Neural Network-Based Ranging with LTE Channel Impulse Response for Localization in Indoor Environments
The results show a receiver navigating for 100 m in an indoor environment, while receiving signals from one LTE eNodeB.
Effect of Outlier Removal from Temporal ASF Corrections on Multichain Loran Positioning Accuracy
The widely used global navigation satellite systems (GNSSs) are vulnerable to radio frequency interference (RFI).
Motion Planning by Reinforcement Learning for an Unmanned Aerial Vehicle in Virtual Open Space with Static Obstacles
In this study, we applied reinforcement learning based on the proximal policy optimization algorithm to perform motion planning for an unmanned aerial vehicle (UAV) in an open space with static obstacles.
NTIRE 2020 Challenge on NonHomogeneous Dehazing
We focus on the proposed solutions and their results evaluated on NH-Haze, a novel dataset consisting of 55 pairs of real haze free and nonhomogeneous hazy images recorded outdoor.
