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08/07/2023
Cuing Without Sharing: A Federated Cued Speech Recognition Framework via Mutual Knowledge Distillation
Cued Speech (CS) is a visual coding tool to encode spoken languages at t...
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03/30/2023
DPP-based Client Selection for Federated Learning with Non-IID Data
This paper proposes a client selection (CS) method to tackle the communi...
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12/22/2022
Shakes on a Plane: Unsupervised Depth Estimation from Unstabilized Photography
Modern mobile burst photography pipelines capture and merge a short sequ...
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12/09/2022
Neural Volume Super-Resolution
Neural volumetric representations have become a widely adopted model for...
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12/09/2022
An Attention-based Multi-Scale Feature Learning Network for Multimodal Medical Image Fusion
Medical images play an important role in clinical applications. Multimod...
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09/02/2022
The E-Bayesian Estimation and its E-MSE of Lomax distribution under different loss functions
This paper studies the E-Bayesian (expectation of the Bayesian estimatio...
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01/19/2022
WebUAV-3M: A Benchmark Unveiling the Power of Million-Scale Deep UAV Tracking
In this work, we contribute a new million-scale Unmanned Aerial Vehicle ...
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12/16/2021
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
Existing neural networks for computer vision tasks are vulnerable to adv...
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11/26/2021
The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement
Modern smartphones can continuously stream multi-megapixel RGB images at...
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10/13/2021
The Straddling Gates Problem in Multi-partite Quantum Systems
It is well known that an arbitrary n-qubit quantum state |Ψ⟩ can be prep...
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10/04/2021
Graph-based multiple change-point detection
We propose a new multiple change-point detection framework for multivari...
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04/14/2021
CelebHair: A New Large-Scale Dataset for Hairstyle Recommendation based on CelebA
In this paper, we present a new large-scale dataset for hairstyle recomm...
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04/13/2021
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
We introduce DatasetGAN: an automatic procedure to generate massive data...
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12/14/2020
A prognostic dynamic model applicable to infectious diseases providing easily visualized guides – A case study of COVID-19 in the UK
A reasonable prediction of infectious diseases transmission process unde...
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10/18/2020
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
Differentiable rendering has paved the way to training neural networks t...
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05/16/2020
A Combined Data-driven and Physics-driven Method for Steady Heat Conduction Prediction using Deep Convolutional Neural Networks
With several advantages and as an alternative to predict physics field, ...
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12/02/2019