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08/16/2022
Multi-level Contrast Network for Wearables-based Joint Activity Segmentation and Recognition
Human activity recognition (HAR) with wearables is promising research th...
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03/29/2022
Self-Supervised Image Representation Learning with Geometric Set Consistency
We propose a method for self-supervised image representation learning un...
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01/25/2022
Self-supervised Point Cloud Registration with Deep Versatile Descriptors
Recent years have witnessed an increasing trend toward solving point clo...
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01/22/2022
Learning Efficient Representations for Enhanced Object Detection on Large-scene SAR Images
It is a challenging problem to detect and recognize targets on complex l...
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04/19/2021
Unsupervised Shape Completion via Deep Prior in the Neural Tangent Kernel Perspective
We present a novel approach for completing and reconstructing 3D shapes ...
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09/20/2020
MARS: Mixed Virtual and Real Wearable Sensors for Human Activity Recognition with Multi-Domain Deep Learning Model
Human activity recognition (HAR) using wearable Inertial Measurement Uni...
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09/15/2020
A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition
Recently, several direct processing point cloud models have achieved sta...
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03/04/2020
A Deep Learning Method for Complex Human Activity Recognition Using Virtual Wearable Sensors
Sensor-based human activity recognition (HAR) is now a research hotspot ...
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05/14/2019
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties
Recently, multi-user multiple input multiple output (MU-MIMO) systems wi...
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05/14/2019
LEMO: Learn to Equalize for MIMO-OFDM Systems with Low-Resolution ADCs
This paper develops a new deep neural network optimized equalization fra...
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08/16/2018
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
In the past decade, sparse and low-rank recovery have drawn much attenti...
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02/10/2018
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location
Synchronized measurements of a large power grid enable an unprecedented ...
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01/16/2018
An Accurate and Real-time Self-blast Glass Insulator Location Method Based On Faster R-CNN and U-net with Aerial Images
The location of broken insulators in aerial images is a challenging task...
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01/05/2018
Incipient Fault Detection and Location in Distribution Networks: A Data-Driven Approach
In this paper, a data-driven Methodology is developed for the incipient ...
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10/30/2017
Detection and Estimation of the Invisible Units Using Utility Data Based on Random Matrix Theory
Invisible units refer mainly to small-scale units that are not monitored...
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06/20/2017