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Found 12 papers, 1 papers with code
CORP: A Multi-Modal Dataset for Campus-Oriented Roadside Perception Tasks
Numerous roadside perception datasets have been introduced to propel advancements in autonomous driving and intelligent transportation systems research and development.
mmID: High-Resolution mmWave Imaging for Human Identification
In contrast to estimating joints, this paper proposes to improve imaging resolution by estimating the human figure as a whole using conditional generative adversarial networks (cGAN).
A Survey on Trustworthy Edge Intelligence: From Security and Reliability To Transparency and Sustainability
Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push the capabilities of AI to the network edge for real-time, efficient and secure intelligent decision-making and computation.
EdgeCalib: Multi-Frame Weighted Edge Features for Automatic Targetless LiDAR-Camera Calibration
The edge features, which are prevalent in various environments, are aligned in both images and point clouds to determine the extrinsic parameters.
Spiking GATs: Learning Graph Attentions via Spiking Neural Network
Graph Attention Networks (GATs) have been intensively studied and widely used in graph data learning tasks.
RadioSES: mmWave-Based Audioradio Speech Enhancement and Separation System
Speech enhancement and separation have been a long-standing problem, especially with the recent advances using a single microphone.
Generalizing Aggregation Functions in GNNs:High-Capacity GNNs via Nonlinear Neighborhood Aggregators
(2) For max aggregator, it usually fails to be aware of the detailed information of node representations within neighborhood.
Neural BRDFs: Representation and Operations
Bidirectional reflectance distribution functions (BRDFs) are pervasively used in computer graphics to produce realistic physically-based appearance.
SVBRDF Recovery From a Single Image With Highlights using a Pretrained Generative Adversarial Network
For efficiency, we train the network in two stages: reusing a trained model to initialize the SVBRDFs and fine-tune it based on the input image.
RadioMic: Sound Sensing via mmWave Signals
Voice interfaces has become an integral part of our lives, with the proliferation of smart devices.
Physics-informed Neural-Network Software for Molecular Dynamics Applications
We have developed a novel differential equation solver software called PND based on the physics-informed neural network for molecular dynamics simulators.
GmCN: Graph Mask Convolutional Network
Graph Convolutional Networks (GCNs) have shown very powerful for graph data representation and learning tasks.
