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06/02/2023
DocFormerv2: Local Features for Document Understanding
We propose DocFormerv2, a multi-modal transformer for Visual Document Un...
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05/05/2021
Visual Composite Set Detection Using Part-and-Sum Transformers
Computer vision applications such as visual relationship detection and h...
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03/22/2021
Efficient Processing of k-regret Minimization Queries with Theoretical Guarantees
Assisting end users to identify desired results from a large dataset is ...
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11/21/2019
Time Varying Channel Tracking for Multi-UAV Wideband Communications with Beam Squint
Unmanned aerial vehicle (UAV) has become an appealing solution for a wid...
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04/25/2019
Unsupervised Deep Learning by Neighbourhood Discovery
Deep convolutional neural networks (CNNs) have demonstrated remarkable s...
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11/20/2018
Single-Label Multi-Class Image Classification by Deep Logistic Regression
The objective learning formulation is essential for the success of convo...
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09/04/2018
Constructing Trustworthy and Safe Communities on a Blockchain-Enabled Social Credits System
The emergence of big data driven technologies has greatly changed global...
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08/29/2018
A Survey on Simulation Tools and Testbeds for Cognitive Radio Networks Study
Efficient utility of radio spectrum has been a hot topic as the wireless...
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05/01/2018
Explore Recurrent Neural Network for PUE Attack Detection in Practical CRN Models
The proliferation of the Internet of Things (IoTs) and pervasive use of ...
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04/28/2018
Imbalanced Deep Learning by Minority Class Incremental Rectification
Model learning from class imbalanced training data is a long-standing an...
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04/24/2018
An Adaptive Primary User Emulation Attack Detection Mechanism for Cognitive Radio Networks
The proliferation of advanced information technologies (IT), especially ...
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12/08/2017
Class Rectification Hard Mining for Imbalanced Deep Learning
Recognising detailed facial or clothing attributes in images of people i...
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10/12/2016