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12/31/2022
Spatiotemporal implicit neural representation for unsupervised dynamic MRI reconstruction
Supervised Deep-Learning (DL)-based reconstruction algorithms have shown...
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12/15/2022
Two-stage Contextual Transformer-based Convolutional Neural Network for Airway Extraction from CT Images
Accurate airway extraction from computed tomography (CT) images is a cri...
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06/02/2022
SparseDet: Towards End-to-End 3D Object Detection
In this paper, we propose SparseDet for end-to-end 3D object detection f...
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08/13/2021
One-shot Transfer Learning for Population Mapping
Fine-grained population distribution data is of great importance for man...
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06/30/2021
MIMO Transmission Under Discrete Input Signal Constraints
In this paper, we propose a multiple-input multipleoutput (MIMO) transmi...
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06/08/2021
PAM: Understanding Product Images in Cross Product Category Attribute Extraction
Understanding product attributes plays an important role in improving on...
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04/30/2021
Dynamic Graph Convolutional Recurrent Network for Traffic Prediction: Benchmark and Solution
Traffic prediction is the cornerstone of an intelligent transportation s...
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03/06/2021
Intelligent Reflecting Surface Enhanced D2D Cooperative Computing
This paper investigates a device-to-device (D2D) cooperative computing s...
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01/21/2021
MoG-QSM: Model-based Generative Adversarial Deep Learning Network for Quantitative Susceptibility Mapping
Quantitative susceptibility mapping (QSM) estimates the underlying tissu...
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01/03/2021
AttnMove: History Enhanced Trajectory Recovery via Attentional Network
A considerable amount of mobility data has been accumulated due to the p...
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08/19/2020
Modeling Complex Spatial Patterns with Temporal Features via Heterogenous Graph Embedding Networks
Multivariate time series (MTS) forecasting is an important problem in ma...
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08/18/2020
Parallel Extraction of Long-term Trends and Short-term Fluctuation Framework for Multivariate Time Series Forecasting
Multivariate time series forecasting is widely used in various fields. R...
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05/26/2020
End-to-end Optimized Video Compression with MV-Residual Prediction
We present an end-to-end trainable framework for P-frame compression in ...
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05/16/2020
Graph Partitioning and Graph Neural Network based Hierarchical Graph Matching for Graph Similarity Computation
Graph similarity computation aims to predict a similarity score between ...
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05/14/2020
Hierarchical and Fast Graph Similarity Computation via Graph Coarsening and Deep Graph Learning
In this work, we are interested in the large graph similarity computatio...
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05/03/2020
Multivariate Time Series Forecasting Based on Causal Inference with Transfer Entropy and Graph Neural Network
Multivariate time series (MTS) forecasting is an important problem in ma...
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12/01/2019
A SVBRDF Modeling Pipeline using Pixel Clustering
We present a pipeline for modeling spatially varying BRDFs (svBRDFs) of ...
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06/27/2019
An Algorithm for Transmitting VR Video Based on Adaptive Modulation
Virtual reality (VR) is making waves around the world recently. However,...
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05/12/2019
Learning Phase Competition for Traffic Signal Control
Increasingly available city data and advanced learning techniques have e...
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10/25/2018
DeepDPM: Dynamic Population Mapping via Deep Neural Network
Dynamic high resolution data on human population distribution is of grea...
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06/16/2016
Deep Image Set Hashing
In applications involving matching of image sets, the information from m...
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10/21/2014