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Dimensions of Commonsense Knowledge
Commonsense knowledge is essential for many AI applications, including t...
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CSKG: The CommonSense Knowledge Graph
Sources of commonsense knowledge aim to support applications in natural ...
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Robust Two-Stream Multi-Feature Network for Driver Drowsiness Detection
Drowsiness driving is a major cause of traffic accidents and thus numero...
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Towards Adaptive Semantic Segmentation by Progressive Feature Refinement
As one of the fundamental tasks in computer vision, semantic segmentatio...
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Privacy-preserving Transfer Learning via Secure Maximum Mean Discrepancy
The success of machine learning algorithms often relies on a large amoun...
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The 1st Tiny Object Detection Challenge:Methods and Results
The 1st Tiny Object Detection (TOD) Challenge aims toencourage research ...
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A Conservative High-Order Method Utilizing Dynamic Transfinite Mortar Elements for Flow Simulation on Curved Sliding Meshes
We present a high-order method for flow simulation on unstructured curve...
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Better Than Reference In Low Light Image Enhancement: Conditional Re-Enhancement Networks
Low light images suffer from severe noise, low brightness, low contrast,...
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ACFD: Asymmetric Cartoon Face Detector
Cartoon face detection is a more challenging task than human face detect...
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Computing Absolute Free Energy with Deep Generative Models
Fast and accurate evaluation of free energy has broad applications from ...
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A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective
We consider the problem of intelligent and efficient resource management...
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OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks
In recent years, a large number of smart devices will be connected in In...
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ASFD: Automatic and Scalable Face Detector
In this paper, we propose a novel Automatic and Scalable Face Detector (...
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Self-supervised Image Enhancement Network: Training with Low Light Images Only
This paper proposes a self-supervised low light image enhancement method...
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Maintaining Discrimination and Fairness in Class Incremental Learning
Deep neural networks (DNNs) have been applied in class incremental learn...
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Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images
Deep learning based image denoising methods have been extensively invest...
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Information collection for fraud detection in P2P financial market
Fintech companies have been facing challenges from fraudulent behavior f...
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Self-Paced Probabilistic Principal Component Analysis for Data with Outliers
Principal Component Analysis (PCA) is a popular tool for dimensionality ...
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YouTube for Patient Education: A Deep Learning Approach for Understanding Medical Knowledge from User-Generated Videos
YouTube presents an unprecedented opportunity to explore how machine lea...
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Latent Feature Based FM Model For Rating Prediction
Rating Prediction is a basic problem in Recommender System, and one of t...
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