Deep Learning Publication Navigator - subtopic: denoising

Year TitleAuthor
2017   Sharpness-aware Low dose CT denoising using conditional generative adversarial network  X Yi, P Babyn
2017   Dilated Residual Network for Image Denoising  T Wang, M Sun, K Hu
2017   On Building Ensembles of Stacked Denoising Auto-Encoding Classifiers and Their Further Improvement  RF Alvear
2017   Collaborative Filtering Recommendation Model based on Convolutional Denoising Auto Encoder  H Huan, Z Wei, L Liang, L Yang
2017   Low Dose CT Image Denoising Using a Generative Adversarial Network with Wasserstein Distance and Perceptual Loss  Q Yang, P Yan, Y Zhang, H Yu, Y Shi, X Mou, MK Kalra
2017   Ensemble of Expert Deep Neural Networks for Spatio-Temporal Denoising of Contrast-Enhanced MRI Sequences  A Benou, R Veksler, A Friedman, TR Raviv
2017   Denoising High Resolution Multispectral Images Using Deep Learning Approach  U Ojha, A Garg
2017   Evaluation of Deep Learning and Low Rank Methods for Image Denoising  TN Canh, Y Park, X Motong, B Jeon
2017   Software Defect Prediction Using Stacked Denoising Autoencoders and Two-stage Ensemble Learning  H Tong, B Liu, S Wang 
2017   Stacked Denoising Autoencoders Applied to Star/Galaxy Classification  Q Hao
2017   Hyperspectral anomaly detection based on stacked denoising autoencoders  C Zhao, X Li, H Zhu
2017   On denoising autoencoders trained to minimise binary cross-entropy  A Creswell, K Arulkumaran, AA Bharath
2017   Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions  H Chen, J Shen, L Wang, J Song
2017   Block-Matching Convolutional Neural Network for Image Denoising  B Ahn, NI Cho
2017   Radar HRRP recognition based on sparse denoising autoencoder and multi-layer perceptron deep model  H Yan, Z Zhang, G Xiong, W Yu
2017   Stacked Denoising Autoencoder-Based Deep Collaborative Filtering Using the Change of Similarity  Y Suzuki, T Ozaki
2017   When Image Denoising Meets High-Level Vision Tasks: A Deep Learning Approach  D Liu, B Wen, X Liu, TS Huang
2017   Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Face Images  H Zhou, J Sun, Y Yacoob, DW Jacobs
2017   Collaborative Filtering using Denoising Auto-Encoders for Market Basket Data  AG Abad, LI Reyes
2017   Denoising Gravitational Waves using Deep Learning with Recurrent Denoising Autoencoders  H Shen, D George, EA Huerta, Z Zhao 
2017   Supervised Dictionary Learning with Smooth Shrinkage for Image Denoising  K Zhang, L Zhang
2017   A Wavenet for Speech Denoising  D Rethage, J Pons, X Serra
2017   Image Classification Based on Convolutional Denoising Sparse Auto-encoder  S Chena, H Liua, X Zenga, S Qiana, J Yub, W Guob
2017   A deep cascade of neural networks for image inpainting, deblurring and denoising  G Zhao, J Liu, J Jiang, W Wang 
2017   Kernel-predicting convolutional networks for denoising Monte Carlo renderings  S Bako, T Vogels, B Mcwilliams, M Meyer, J NováK
2017   CT Image Denoising with Perceptive Deep Neural Networks  Q Yang, P Yan, MK Kalra, G Wang
2017   Knock-Knock: Acoustic Object Recognition by using Stacked Denoising Autoencoders  S Luo, L Zhu, K Althoefer, H Liu
2017   3D BLE Indoor Localization based on Denoising Autoencoder  C Xiao, D Yang, Z Chen, G Tan
2017   Phase Transitions in Image Denoising via Sparsely Coding Convolutional Neural Networks  J Carroll, N Carlson, GT Kenyon 
2017   Whispered Speech Recognition Using Deep Denoising Autoencoder and Inverse Filtering  ĐT Grozdić, ST Jovičić 
2017   Unsupervised feature-learning for galaxy SEDs with denoising autoencoders  J Frontera
2016   Two-stage noise aware training using asymmetric deep denoising autoencoder  KH Lee, SJ Kang, WH Kang, NS Kim
2016   Collaborative Filtering with Stacked Denoising AutoEncoders and Sparse Inputs  F Strub, J Mary
2016   Reduction of Computational Cost Using Two-Stage Deep Neural Network for Training for Denoising and Sound Source Identification  T Morito, O Sugiyama, S Uemura, R Kojima, K Nakadai
2016   Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification  C Lu, ZY Wang, WL Qin, J Ma
2016   Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: a clinical study  J Dolz, N Betrouni, M Quidet, D Kharroubi, HA Leroy
2016   ECG signal enhancement based on improved denoising auto-encoder  P Xiong, H Wang, M Liu, S Zhou, Z Hou, X Liu
2016   Composite denoising autoencoders  KJ Geras, C Sutton
2016   Research of stacked denoising sparse autoencoder  L Meng, S Ding, N Zhang, J Zhang
2016   Unsupervised Feature Learning With Symmetrically Connected Convolutional Denoising Auto-encoders  J Dong, XJ Mao, C Shen, YB Yang
2016   Semi-supervised Learning using Denoising Autoencoders for Brain Lesion Detection and Segmentation  V Alex, K Vaidhya, S Thirunavukkarasu, C Kesavdas
2016   A novel denoising autoencoder assisted segmentation algorithm for cotton field  Y Li, Z Cao, Y Xiao, H Lu, Y Zhu
2016   SMS Spam Filtering using Probabilistic Topic Modelling and Stacked Denoising Autoencoder  NA Moubayed, T Breckon, P Matthews, AS McGough
2016   A Denoising Based Autoassociative Model for Robust Sensor Monitoring in Nuclear Power Plants  A Shaheryar, XC Yin, HW Hao, H Ali, K Iqbal
2016   Generating feature sets for fault diagnosis using denoising stacked auto-encoder  R Thirukovalluru, S Dixit, RK Sevakula, NK Verma
2016   Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising  K Zhang, W Zuo, Y Chen, D Meng, L Zhang
2016   Protein Residue-Residue Contact Prediction Using Stacked Denoising Autoencoders  IV Luttrell, J Bailey
2016   Denoising auto-encoders toward robust unsupervised feature representation  W Xiong, B Du, L Zhang, L Zhang, D Tao
2016   Joint visual denoising and classification using deep learning  G Chen, Y Li, SN Srihari
2016   Stacked Convolutional Denoising Auto-Encoders for Feature Representation  B Du, W Xiong, J Wu, L Zhang, D Tao
2016   Deep Neural Image Denoising  M Koziarski, B Cyganek
2016   A Domain Adaptation Regularization for Denoising Autoencoders  S Clinchant, G Csurka, B Chidlovskii
2016   Deep joint demosaicking and denoising  M Gharbi, G Chaurasia, S Paris, F Durand
2016   Learning Multiple Views with Orthogonal Denoising Autoencoders  TQ Ye, T Wang, K McGuinness, Y Guo, C Gurrin
2016   Denoising Deep Extreme Learning Machines for Sparse Representation  X Cheng, H Liu, X Xu, F Sun
2016   Fault detection for ironmaking process based on stacked denoising autoencoders  T Zhang, W Wang, H Ye, DX Huang, H Zhang, M Li
2016   Adaptive Stacked Denoising Autoencoder for Work Mode Identification of Airborne Active Phased Array Radar  H Li, W Jin, H Liu, K Zheng
2016   Learned Convolutional Denoising  D Bodington
2016   Image Denoising Using Very Deep Fully Convolutional Encoder-Decoder Networks with Symmetric Skip Connections  XJ Mao, C Shen, YB Yang
2016   Modulation recognition of underwater acoustic communication signals based on denoising & deep sparse autoencoder  H YANG, X YAO, S SHEN, J XIONG, X ZHANG
2015   Deep Collaborative Filtering via Marginalized Denoising Auto-encoder  S Li, J Kawale, Y Fu
2015   Building Feature Space of Extreme Learning Machine with Sparse Denoising Stacked-autoencoder  W Huang, F Sun
2015   Evaluating Stacked Marginalised Denoising Autoencoders Within Domain Adaptation Methods  B Chidlovskii, G Csurka, S Clinchant
2015   Deep neural network-based bottleneck feature and denoising autoencoder-based dereverberation for distant-talking speaker identification  Z Zhang, L Wang, A Kai, T Yamada, W Li, M Iwahashi
2015   Bo, leneck Features from SNR-Adap% ve Denoising Deep Classifier for Speaker Iden% fica% on  Z TAN, MW MAK
2015   Fast and Accurate Poisson Denoising with Optimized Nonlinear Diffusion  W Feng, Y Chen
2015   Deep convolutional architecture for natural image denoising  X Wang, Q Tao, L Wang, D Li, M Zhang
2015   Denoising Convolutional Autoencoders for Noisy Speech Recognition  M Kayser, V Zhong
2015   Training Stacked Denoising Autoencoders for Representation Learning  J Liang, K Kelly
2015   Denoising Autoencoders for fast Combinatorial Black Box Optimization  M Probst
2015   Denoising AutoEncoder in Neural Networks with Modified Elliott Activation Function and Sparsity-Favoring Cost Function  H Burhani, W Feng, G Hu
2015   Convergence of gradient based pre-training in Denoising autoencoders  VK Ithapu, S Ravi, V Singh
2015   Denoising without access to clean data using a partitioned autoencoder  D Stowell, RE Turner
2015   Denoising Laplacian Multi Layer Extreme Learning Machine  N Zhang, S Ding, Z Shi
2015   1000 Fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder  W Tang, Y Huang, L Wang
2015   Marginalizing Stacked Linear Denoising Autoencoders  M Chen, KQ Weinberger, ZE Xu, F Sha
2015   Learning Deep Dictionary for Hyperspectral Image Denoising  HUO Leigang, F Xiangchu, HUO Chunlei
2015   Online Semi-Supervised Learning with Deep Hybrid Boltzmann Machines and Denoising Autoencoders  II Ororbia, G Alexander, CL Giles, D Reitter
2015   Real-time Dynamic MRI Reconstruction using Stacked Denoising Autoencoder  A Majumdar
2015   Marginalised Stacked Denoising Autoencoders for Robust Representation of Real-Time Multi-View Action Recognition  F Gu, F Flórez
2015   Supervised Denoising Pre-Training for Robust ASR with DNN-HMM  SJ KANG, KH LEE, NS KIM
2015   A New Image Denoising Scheme Using Spiking Neuromorphic Systems  J Oh, J Gwak, A Rafiqueꜟ, M Jeon
2015   Estimating User Location in Social Media with Stacked Denoising Auto-encoders  J Liu, D Inkpen
2015   Denoising hybrid noises in image with stacked autoencoder  X Ye, L Wang, H Xing, L Huang
2015   Bottleneck Features from SNR-Adaptive Denoising Deep Classifier for Speaker Identification  Z TAN, MW MAK
2014   Static hand gesture recognition using stacked Denoising Sparse Autoencoders  V Kumar, GC Nandi, R Kala
2014   Improving generation performance of speech emotion recognition by denoising autoencoders  L Chao, J Tao, M Yang, Y Li
2014   Statistically Adaptive Image Denoising Based on Overcomplete Topographic Sparse Coding  H Zhao, J Luo, Z Huang, T Nagumo, J Murayama
2014   Feature Learning from Incomplete EEG with Denoising Autoencoder  J Li, Z Struzik, L Zhang, A Cichocki
2014   Chord Recognition with Stacked Denoising Autoencoders  N Steenbergen
2014   An Adaptive Stacked Denoising Auto-Encoder Architecture for Human Action Recognition  DX Wu, W Pan, LD Xie, CX Huang
2014   Relational Stacked Denoising Autoencoder for Tag Recommendation  H Wang, X Shi, DY Yeung