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BigBen: Telemetry Processing for Internet-wide Event Monitoring
This paper describes BigBen, a network telemetry processing system desig...
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Two-Stream Appearance Transfer Network for Person Image Generation
Pose guided person image generation means to generate a photo-realistic ...
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Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization
Weakly-supervised Temporal Action Localization (W-TAL) aims to classify ...
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Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
Scene graph parsing aims to detect objects in an image scene and recogni...
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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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Multi-label Zero-shot Classification by Learning to Transfer from External Knowledge
Multi-label zero-shot classification aims to predict multiple unseen cla...
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Combining Visible Light and Infrared Imaging for Efficient Detection of Respiratory Infections such as COVID-19 on Portable Device
Coronavirus Disease 2019 (COVID-19) has become a serious global epidemic...
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Fair Bandit Learning with Delayed Impact of Actions
Algorithmic fairness has been studied mostly in a static setting where t...
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Scalable Double Regularization for 3D Nano-CT Reconstruction
Nano-CT (computerized tomography) has emerged as a non-destructive high-...
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A Compositional Textual Model for Recognition of Imperfect Word Images
Printed text recognition is an important problem for industrial OCR syst...
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MsCGAN: Multi-scale Conditional Generative Adversarial Networks for Person Image Generation
To synthesize high quality person images with arbitrary poses is challen...
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ReabsNet: Detecting and Revising Adversarial Examples
Though deep neural network has hit a huge success in recent studies and ...
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Study on a Poisson's Equation Solver Based On Deep Learning Technique
In this work, we investigated the feasibility of applying deep learning ...
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