
Unsupervised Learning for Intrinsic Image Decomposition from a Single Image
Intrinsic image decomposition, which is an essential task in computer vi...
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Classification Calibration for Longtail Instance Segmentation
Remarkable progress has been made in object instance detection and segme...
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Style Separation and Synthesis via Generative Adversarial Networks
Style synthesis attracts great interests recently, while few works focus...
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Asymmetric GAN for Unpaired Imagetoimage Translation
Unpaired imagetoimage translation problem aims to model the mapping fr...
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Semantic Guided Single Image Reflection Removal
Reflection is common in images capturing scenes behind a glass window, w...
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PromID: human promoter prediction by deep learning
Computational identification of promoters is notoriously difficult as hu...
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Can CNNs Construct Highly Accurate Model Efficiently with Limited Training Samples?
It is well known that metamodel or surrogate modeling techniques have be...
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I Know What You See: Power SideChannel Attack on Convolutional Neural Network Accelerators
Deep learning has become the defacto computational paradigm for various...
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Reconstruction of SimulationBased Physical Field with Limited Samples by ReConNN
A variety of modeling techniques have been developed in the past decade ...
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DLBI: Deep learning guided Bayesian inference for structure reconstruction of superresolution fluorescence microscopy
Superresolution fluorescence microscopy, with a resolution beyond the d...
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Webpage Saliency Prediction with Twostage Generative Adversarial Networks
Web page saliency prediction is a challenge problem in image transformat...
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On the Decision Boundary of Deep Neural Networks
While deep learning models and techniques have achieved great empirical ...
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SupportNet: solving catastrophic forgetting in class incremental learning with support data
A plain welltrained deep learning model often does not have the ability...
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Detail Preserving Depth Estimation from a Single Image Using Attention Guided Networks
Convolutional Neural Networks have demonstrated superior performance on ...
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Accelerating Flash Calculation through Deep Learning Methods
In the past two decades, researchers have made remarkable progress in ac...
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Clause Vivification by Unit Propagation in CDCL SAT Solvers
Original and learnt clauses in ConflictDriven Clause Learning (CDCL) SA...
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SampleEfficient Policy Learning based on Completely Behavior Cloning
Direct policy search is one of the most important algorithm of reinforce...
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On Configurable Defense against Adversarial Example Attacks
Machine learning systems based on deep neural networks (DNNs) have gaine...
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ImageBased Reconstruction for a 3DPFHS Heat Transfer Problem by ReConNN
The heat transfer performance of Plate Fin Heat Sink (PFHS) has been inv...
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Deep learning in bioinformatics: introduction, application, and perspective in big data era
Deep learning, which is especially formidable in handling big data, has ...
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Computeraided Detection of Squamous Carcinoma of the Cervix in Whole Slide Images
Goal: Squamous cell carcinoma of cervix is one of the most prevalent can...
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IRA assisted MMCbased topology optimization method
An Iterative Reanalysis Approximation (IRA) is integrated with the Movin...
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Interpretation of NDTM in the definition of NP
In this paper, we interpret NDTM (NonDeterministic Turing Machine) used ...
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Case Study of the Proof of Cook's theorem  Interpretation of A(w)
Cook's theorem is commonly expressed such as any polynomial timeverifia...
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Winning the ICCV 2019 Learning to Drive Challenge
Autonomous driving has a significant impact on society. Predicting vehic...
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Alternating Recurrent Dialog Model with Largescale Pretrained Language Models
Existing dialog system models require extensive human annotations and ar...
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Machine Learning based parameter tuning strategy for MMC based topology optimization
Moving Morphable Component (MMC) based topology optimization approach is...
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Accurate Trajectory Prediction for Autonomous Vehicles
Predicting vehicle trajectories, angle and speed is important for safe a...
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Inquiry of Preduction in Cook's 1971 Paper – from Oracle machine to Turing machine
In this paper, we inquire the key concept Preduction in Cook's theorem ...
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Imagebased reconstruction for the impact problems by using DPNNs
With the improvement of the pattern recognition and feature extraction o...
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On Functional Test Generation for Deep Neural Network IPs
Machine learning systems based on deep neural networks (DNNs) produce st...
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EndtoEnd Trainable NonCollaborative Dialog System
Endtoend taskoriented dialog models have achieved promising performan...
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Computing the 2adic complexity of two classes of DingHelleseth generalized cyclotomic sequences of period of twin prime products
This paper contributes to compute 2adic complexity of two classes of Di...
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Yu Li
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