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08/23/2023
PREFER: Prompt Ensemble Learning via Feedback-Reflect-Refine
As an effective tool for eliciting the power of Large Language Models (L...
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06/01/2023
Hyperspectral Target Detection Based on Low-Rank Background Subspace Learning and Graph Laplacian Regularization
Hyperspectral target detection is good at finding dim and small objects ...
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05/29/2023
CPU-GPU Heterogeneous Code Acceleration of a Finite Volume Computational Fluid Dynamics Solver
This work deals with the CPU-GPU heterogeneous code acceleration of a fi...
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11/23/2022
TorchScale: Transformers at Scale
Large Transformers have achieved state-of-the-art performance across man...
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10/12/2022
Foundation Transformers
A big convergence of model architectures across language, vision, speech...
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07/25/2022
End-User Puppeteering of Expressive Movements
The end-user programming of social robot behavior is usually limited by ...
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07/07/2022
Parameterized Colorings And Labellings Of Graphs In Topological Coding
The coming quantum computation is forcing us to reexamine the cryptosyst...
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05/12/2022
Cross-domain Few-shot Meta-learning Using Stacking
Cross-domain few-shot meta-learning (CDFSML) addresses learning problems...
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03/01/2022
DeepNet: Scaling Transformers to 1,000 Layers
In this paper, we propose a simple yet effective method to stabilize ext...
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02/08/2022
Topological Authentication Technique In Topologically Asymmetric Cryptosystem
Making topological authentication from theory to practical application i...
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06/29/2021
Recent Colorings And Labelings In Topological Coding
Topological Coding consists of two different kinds of mathematics: topol...
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05/27/2021
Deep Learning for Depression Recognition with Audiovisual Cues: A Review
With the acceleration of the pace of work and life, people have to face ...
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12/15/2020
Classification of Smoking and Calling using Deep Learning
Since 2014, very deep convolutional neural networks have been proposed a...
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07/03/2020
AEGCN: An Autoencoder-Constrained Graph Convolutional Network
We propose a novel neural network architecture, called autoencoder-const...
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02/26/2020
Recognizing Handwritten Mathematical Expressions as LaTex Sequences Using a Multiscale Robust Neural Network
In this paper, a robust multiscale neural network is proposed to recogni...
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09/04/2019
Topological Coding and Topological Matrices Toward Network Overall Security
A mathematical topology with matrix is a natural representation of a cod...
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07/22/2019
An Efficient Method of Detection and Recognition in Remote Sensing Image Based on multi-angle Region of Interests
Presently, deep learning technology has been widely used in the field of...
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07/11/2019
Using Chinese Characters To Generate Text-Based Passwords For Information Security
Graphical passwords (GPWs) are in many areas of the current world. Topol...
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02/08/2019
Robust Encoder-Decoder Learning Framework towards Offline Handwritten Mathematical Expression Recognition Based on Multi-Scale Deep Neural Network
Offline handwritten mathematical expression recognition is a challenging...
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09/13/2018
Text-based Passwords Generated From Topological Graphic Passwords
Topological graphic passwords (Topsnut-gpws) are one of graph-type passw...
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07/26/2018
Topological Graphic Passwords And Their Matchings Towards Cryptography
Graphical passwords (GPWs) are convenient for mobile equipments with tou...
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07/09/2018
ChestNet: A Deep Neural Network for Classification of Thoracic Diseases on Chest Radiography
Computer-aided techniques may lead to more accurate and more acces-sible...
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06/08/2018
Graph Theory Towards New Graphical Passwords In Information Networks
Graphical passwords (GPWs) have been studied over 20 years. We are motiv...
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02/22/2018
Non-rigid Object Tracking via Deep Multi-scale Spatial-Temporal Discriminative Saliency Maps
In this paper we propose an effective non-rigid object tracking method b...
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02/22/2018
Video Person Re-identification by Temporal Residual Learning
In this paper, we propose a novel feature learning framework for video p...
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08/07/2017
Learning Uncertain Convolutional Features for Accurate Saliency Detection
Deep convolutional neural networks (CNNs) have delivered superior perfor...
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08/07/2017
Amulet: Aggregating Multi-level Convolutional Features for Salient Object Detection
Fully convolutional neural networks (FCNs) have shown outstanding perfor...
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07/26/2016
