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07/28/2023
Point Clouds Are Specialized Images: A Knowledge Transfer Approach for 3D Understanding
Self-supervised representation learning (SSRL) has gained increasing att...
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01/11/2023
CARD: Semantic Segmentation with Efficient Class-Aware Regularized Decoder
Semantic segmentation has recently achieved notable advances by exploiti...
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06/02/2022
Leveraging Systematic Knowledge of 2D Transformations
The existing deep learning models suffer from out-of-distribution (o.o.d...
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05/24/2022
Smart Grid: Cyber Attacks, Critical Defense Approaches, and Digital Twin
As a national critical infrastructure, the smart grid has attracted wide...
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03/14/2022
CAR: Class-aware Regularizations for Semantic Segmentation
Recent segmentation methods, such as OCR and CPNet, utilizing "class lev...
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09/24/2021
SCADS: A Scalable Approach Using Spark in Cloud for Host-based Intrusion Detection System with System Calls
Following the current big data trend, the scale of real-time system call...
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08/04/2021
What's Wrong with the Bottom-up Methods in Arbitrary-shape Scene Text Detection
The latest trend in the bottom-up perspective for arbitrary-shape scene ...
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01/19/2021
CAA : Channelized Axial Attention for Semantic Segmentation
Self-attention and channel attention, modelling the semantic interdepend...
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09/12/2020
EdgeLoc: An Edge-IoT Framework for Robust Indoor Localization Using Capsule Networks
With the unprecedented demand for location-based services in indoor scen...
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04/19/2020
Binarized Graph Neural Network
Recently, there have been some breakthroughs in graph analysis by applyi...
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02/10/2020
Security Privacy in IoT Using Machine Learning Blockchain: Threats Countermeasures
Security and privacy have become significant concerns due to the involve...
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01/16/2020
PDANet: Pyramid Density-aware Attention Net for Accurate Crowd Counting
Crowd counting, i.e., estimating the number of people in a crowded area,...
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08/26/2019
See More Than Once -- Kernel-Sharing Atrous Convolution for Semantic Segmentation
The state-of-the-art semantic segmentation solutions usually leverage di...
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04/20/2019
FACLSTM: ConvLSTM with Focused Attention for Scene Text Recognition
Scene text recognition has recently been widely treated as a sequence-to...
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04/17/2019
DENet: A Universal Network for Counting Crowd with Varying Densities and Scales
Counting people or objects with significantly varying scales and densiti...
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12/17/2018
Voiceprint recognition of Parkinson patients based on deep learning
More than 90 disorders. Speech impairment is already indicator of PD. Th...
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04/19/2018
A-CCNN: adaptive ccnn for density estimation and crowd counting
Crowd counting, for estimating the number of people in a crowd using vis...
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04/19/2018
A-cCCNN: adaptive ccnn for density estimation and crowd counting
Crowd counting, for estimating the number of people in a crowd using vis...
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03/05/2018
Beyond Context: Exploring Semantic Similarity for Tiny Face Detection
Tiny face detection aims to find faces with high degrees of variability ...
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03/03/2018
A Structural Correlation Filter Combined with A Multi-task Gaussian Particle Filter for Visual Tracking
In this paper, we propose a novel structural correlation filter combined...
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01/20/2018
Structured Inhomogeneous Density Map Learning for Crowd Counting
In this paper, we aim at tackling the problem of crowd counting in extre...
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01/11/2018
Soft Locality Preserving Map (SLPM) for Facial Expression Recognition
For image recognition, an extensive number of methods have been proposed...
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08/12/2017