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06/20/2023
Self-supervised Multi-task Learning Framework for Safety and Health-Oriented Connected Driving Environment Perception using Onboard Camera
Cutting-edge connected vehicle (CV) technologies have drawn much attenti...
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04/23/2023
Urban GeoBIM construction by integrating semantic LiDAR point clouds with as-designed BIM models
Developments in three-dimensional real worlds promote the integration of...
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02/07/2023
Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity
Gradient methods have become mainstream techniques for Bi-Level Optimiza...
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01/04/2023
Automatic Classification of Single Tree Decay Stages from Combined ALS Data and Aerial Imagery using Machine Learning
Understanding forest health is of great importance for the conservation ...
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12/09/2022
AuE-IPA: An AU Engagement Based Infant Pain Assessment Method
Recent studies have found that pain in infancy has a significant impact ...
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11/23/2022
One Class One Click: Quasi Scene-level Weakly Supervised Point Cloud Semantic Segmentation with Active Learning
Reliance on vast annotations to achieve leading performance severely res...
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10/20/2022
VideoPipe 2022 Challenge: Real-World Video Understanding for Urban Pipe Inspection
Video understanding is an important problem in computer vision. Currentl...
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05/20/2022
Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees
Gradient methods have become mainstream techniques for Bi-Level Optimiza...
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04/14/2022
Information fusion approach for biomass estimation in a plateau mountainous forest using a synergistic system comprising UAS-based digital camera and LiDAR
Forest land plays a vital role in global climate, ecosystems, farming an...
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02/18/2022
Joint Learning of Frequency and Spatial Domains for Dense Predictions
Current artificial neural networks mainly conduct the learning process i...
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01/27/2022
Efficient divide-and-conquer registration of UAV and ground LiDAR point clouds through canopy shape context
Registration of unmanned aerial vehicle laser scanning (ULS) and ground ...
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12/06/2021
A hybrid convolutional neural network/active contour approach to segmenting dead trees in aerial imagery
The stability and ability of an ecosystem to withstand climate change is...
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10/04/2021
A new weakly supervised approach for ALS point cloud semantic segmentation
While there are novel point cloud semantic segmentation schemes that con...
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06/07/2021
Self-supervised Depth Estimation Leveraging Global Perception and Geometric Smoothness Using On-board Videos
Self-supervised depth estimation has drawn much attention in recent year...
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05/06/2021
In the Danger Zone: U-Net Driven Quantile Regression can Predict High-risk SARS-CoV-2 Regions via Pollutant Particulate Matter and Satellite Imagery
Since the outbreak of COVID-19 policy makers have been relying upon non-...
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05/05/2021
Pairwise Point Cloud Registration using Graph Matching and Rotation-invariant Features
Registration is a fundamental but critical task in point cloud processin...
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05/05/2021
Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
In this paper, we introduce a framework for segmenting instances of a co...
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05/05/2021
Weakly Supervised Pseudo-Label assisted Learning for ALS Point Cloud Semantic Segmentation
Competitive point cloud semantic segmentation results usually rely on a ...
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02/24/2021
A Survey on Consortium Blockchain Consensus Mechanisms
Blockchain is a distributed ledger that is decentralized, immutable, and...
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12/31/2020
Generalized Operating Procedure for Deep Learning: an Unconstrained Optimal Design Perspective
Deep learning (DL) has brought about remarkable breakthrough in processi...
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12/21/2020
Multi-stream Convolutional Neural Network with Frequency Selection for Robust Speaker Verification
Speaker verification aims to verify whether an input speech corresponds ...
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04/01/2019
Deep Clustering With Intra-class Distance Constraint for Hyperspectral Images
The high dimensionality of hyperspectral images often results in the deg...
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03/23/2019
1D-Convolutional Capsule Network for Hyperspectral Image Classification
Recently, convolutional neural networks (CNNs) have achieved excellent p...
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11/06/2017
