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08/17/2022
A Monotonicity Constrained Attention Module for Emotion Classification with Limited EEG Data
In this work, a parameter-efficient attention module is presented for em...
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07/26/2022
Physics Embedded Machine Learning for Electromagnetic Data Imaging
Electromagnetic (EM) imaging is widely applied in sensing for security, ...
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07/13/2022
Robust and accurate depth estimation by fusing LiDAR and Stereo
Depth estimation is one of the key technologies in some fields such as a...
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03/23/2022
An interactive music infilling interface for pop music composition
Artificial intelligence (AI) has been widely applied to music generation...
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02/11/2022
MusIAC: An extensible generative framework for Music Infilling Applications with multi-level Control
We present a novel music generation framework for music infilling, with ...
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01/18/2022
GANmouflage: 3D Object Nondetection with Texture Fields
We propose a method that learns to camouflage 3D objects within scenes. ...
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11/16/2020
Feature Sharing and Integration for Cooperative Cognition and Perception with Volumetric Sensors
The recent advancement in computational and communication systems has le...
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10/13/2020
A variational autoencoder for music generation controlled by tonal tension
Many of the music generation systems based on neural networks are fully ...
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02/19/2020
Cooperative LIDAR Object Detection via Feature Sharing in Deep Networks
The recent advancements in communication and computational systems has l...
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11/22/2019
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration
The ability to model and predict ego-vehicle's surrounding traffic is cr...
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10/03/2019
Midi Miner – A Python library for tonal tension and track classification
We present a Python library, called Midi Miner, that can calculate tonal...
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08/29/2019
DV3+HED+: A DCNNs-based Framework to Monitor Temporary Works and ESAs in Railway Construction Project Using VHR Satellite Images
Current VHR(Very High Resolution) satellite images enable the detailed m...
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12/13/2018
SIGNet: Semantic Instance Aided Unsupervised 3D Geometry Perception
Unsupervised learning for visual perception of 3D geometry is of great i...
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11/25/2018
Multi-view Point Cloud Registration with Adaptive Convergence Threshold and its Application on 3D Model Retrieval
Multi-view point cloud registration is a hot topic in the communities of...
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11/24/2018
Spatio-Temporal Road Scene Reconstruction using Superpixel MRF
Scene models construction based on image rendering is a hot topic in the...
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06/07/2017
Driver Action Prediction Using Deep (Bidirectional) Recurrent Neural Network
Advanced driver assistance systems (ADAS) can be significantly improved ...
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02/21/2017
Weighted Motion Averaging for the Registration of Multi-View Range Scans
Multi-view registration is a fundamental but challenging problem in 3D r...
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12/01/2016