Deep Learning Publication Navigator - subtopic: texture

Year TitleAuthor
2017   Dynamic Texture Recognition Using Time-Causal Spatio-Temporal Scale-Space Filters  UTC Spatio
2017   Texture segmentation with Fully Convolutional Networks  V Andrearczyk, PF Whelan
2017   Action Recognition Using 3D Histograms of Texture and A Multi-class Boosting Classifier  B Zhang, Y Yang, C Chen, L Yang, J Han, L Shao
2017   Texture and art with deep neural networks  LA Gatys, AS Ecker, M Bethge
2017   Expression recognition using semantic information and local texture features  C Wu, C Huang, H Chen
2017   Binary Patterns Encoded Convolutional Neural Networks for Texture Recognition and Remote Sensing Scene Classification  RM Anwer, FS Khan, J van de Weijer, M Molinier
2017   Perception Driven Texture Generation  Y Gan, H Chi, Y Gao, J Liu, G Zhong, J Dong
2017   Learning Texture Manifolds with the Periodic Spatial GAN  U Bergmann, N Jetchev, R Vollgraf
2017   A Study of Distinctiveness of Skin Texture for Forensic Applications through Comparison with Blood Vessels  FKS Chan, X Li, AWK Kong
2017   Automatic classification of cardioembolic and arteriosclerotic ischemic strokes from apparent diffusion coefficient datasets using texture analysis and deep learning  J Villafruela, S Crites, B Cheng, C Knaack, G Thomalla
2017   Cascade of convolutional neural networks for lung texture classification: overcoming ontological overlapping  SR Tarando, C Fetita, PY Brillet
2017   Dynamic Texture Representation Using a Deep Multi-Scale Convolutional Network  SR Arashloo, MC Amirani, A Noroozi
2017   Deep neural networks for texture classification-A theoretical analysis  S Basu, S Mukhopadhyay, M Karki, R DiBiano 
2017   Deep Learning Techniques on Texture Analysis of Chest and Breast Images  JZ Cheng, CM Chen, D Shen 
2017   Texture Characterization by Using Shape Co-occurrence Patterns  GS Xia, G Liu, X Bai, L Zhang
2017   Two-Stream Convolutional Networks for Dynamic Texture Synthesis  M Tesfaldet, MA Brubaker, KG Derpanis
2017   Sequential Dual Deep Learning with Shape and Texture Features for Sketch Recognition  Q Jia, M Yu, X Fan, H Li
2017   3D High-quality Textile Reconstruction with Synthesized Texture  P Hu, T Komura, D Li, G Wu, Y Zhong
2017   Modelling and Implementation of Real time Texture Detection module for Mobility Assistant for Visually Impaired System (MAVI)  P Agarwal
2017   Super-resolution Using Constrained Deep Texture Synthesis  L Sun, J Hays
2017   Deep learning of texture and structural features for multiclass Alzheimer's disease classification  CV Dolph, M Alam, Z Shboul, MD Samad
2017   Manifold Regularized Slow Feature Analysis for Dynamic Texture Recognition  J Miao, X Xu, X Xing, D Tao
2017   TextureGAN: Controlling Deep Image Synthesis with Texture Patches  W Xian, P Sangkloy, J Lu, C Fang, F Yu, J Hays
2017   A Feature Descriptor based on Local Normalized Difference for Real-World Texture Classification  W Zhang, W Zhang, K Liu, J Gu 
2017   3D textile reconstruction based on KinectFusion and synthesized texture  PP Hu, PP Hu, T Komura, T Komura, D Li, D Li, G Wu 
2017   Texture and Structure Incorporated ScatterNet Hybrid Deep Learning Network (TS-SHDL) For Brain Matter Segmentation  A Singh, D Hazarika, A Bhattacharya
2016   Local Binary Features for Texture Classification: Taxonomy and Experimental Study  L Liu, P Fieguth, Y Guo, X Wang, M Pietikäinen
2016   Texture edge-guided depth recovery for structured light-based depth sensor  H Deng, J Wu, L Zhu, Z Yan, L Yu
2016   Texture Synthesis Using Shallow Convolutional Networks with Random Filters  I Ustyuzhaninov, W Brendel, LA Gatys, M Bethge
2016   Using Filter Banks in Convolutional Neural Networks for Texture Classification  V Andrearczyk, PF Whelan
2016   Multi-spectral texture analysis for IED detection  H Petersson, D Gustafsson
2016   Incorporating long-range consistency in CNN-based texture generation  G Berger, R Memisevic
2016   Increasing CAD system efficacy for lung texture analysis using a convolutional network  SR Tarando, C Fetita, A Faccinetto, P Yves
2016   Facial expression recognition in the wild based on multimodal texture features  B Sun, L Li, G Zhou, J He
2016   Texture Networks: Feed-forward Synthesis of Textures and Stylized Images  D Ulyanov, V Lebedev, A Vedaldi, V Lempitsky
2016   Special Section Guest Editorial: Color in Texture and Material Recognition  R Schettini, J van de Weijer, C Cusano, P Napoletano
2016   Ensemble of texture descriptors and classifiers for face recognition  A Lumini, L Nanni, S Brahnam
2016   Evaluation of Ground Distances and Features in EMD-based GMM Matching for Texture Classification  H Hao, Q Wang, P Li, L Zhang
2016   Learning Density Independent Texture Features  M Kallenberg, M Nielsen, K Holland, N Karssemeijer
2016   EnhanceNet: Single Image Super-Resolution through Automated Texture Synthesis  MSM Sajjadi, B Schölkopf, M Hirsch
2016   Evaluation of LBP and Deep Texture Descriptors with a New Robustness Benchmark  L Liu, P Fieguth, X Wang, M Pietikäinen, D Hu
2016   Texture Enhancement via High-Resolution Style Transfer for Single-Image Super-Resolution  IJ Ahn, WH Nam
2016   Texture enhancement for Improving single-image super-resolution performance  SB Yoo, K Choi, YW Jeon, JB Ra
2016   A Theoretical Analysis of Deep Neural Networks for Texture Classification  S Basu, M Karki, R DiBiano, S Mukhopadhyay
2016   Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks  C Li, M Wand
2016   Extreme learning machine with multi-scale local receptive fields for texture classification  J Huang, ZL Yu, Z Cai, Z Gu, Z Cai, W Gao, S Yu, Q Du
2016   Principal curvatures based rotation invariant algorithms for efficient texture classification  K Hanbay, N Alpaslan, MF Talu, D Hanbay
2016   Every filter extracts a specific texture in convolutional neural networks  Z Xia, C Zhu, Z Wang, Q Guo, Y Liu
2016   Learning perceptual texture similarity and relative attributes from computational features  J Lou, L Qi, J Dong, H Yu, G Zhong
2016   A deep learning model for automatic image texture classification: Application to vision-based automatic aircraft landing  KP Lai
2016   CNN based texture synthesize with Semantic segment  X Liang, B Zhuo, P Li, L He
2016   Unsupervised texture transfer from images to model collections  TY Wang, H Su, Q Huang, J Huang, L Guibas, NJ Mitra
2016   Garments Texture Design Class Identification Using Deep Convolutional Neural Network  SMS Islam, EK Dey, MNA Tawhid, BMM Hossain
2015   Texture Modelling with Nested High-order Markov-Gibbs Random Fields  R Versteegen, G Gimel'farb, P Riddle
2015   Dynamic texture and scene classification by transferring deep image features  X Qi, CG Li, G Zhao, X Hong, M Pietikäinen
2015   Texture based features for robust palmprint recognition: a comparative study  R Raghavendra, C Busch
2015   Deep filter banks for texture recognition, description, and segmentation  M Cimpoi, S Maji, I Kokkinos, A Vedaldi
2015   Perceptive Parallel Processes Coordinating Geometry and Texture  MA Gutierrez, RE Banchs, LF D'Haro
2015   An Automated System for Garment Texture Design Class Identification  EK Dey, MNA Tawhid, M Shoyaib
2015   Texture synthesis and the controlled generation of natural stimuli using convolutional neural networks  LA Gatys, AS Ecker, M Bethge
2015   3D Texture Recognition for RGB-D Images  G Zhong, X Mao, Y Shi, J Dong
2015   Join Gabor and scattering transform for urine sediment particle texture analysis  C Li, YY Tang, H Luo, X Zheng
2015   Fusing Subcategory Probabilities for Texture Classification  Y Song, W Cai, Q Li, F Zhang, DD Feng, H Huang
2015   An analysis of deep neural networks for texture classification  LG Hafemann
2015   Texture Synthesis Using Convolutional Neural Networks  L Gatys, AS Ecker, M Bethge
2015   Learning Texture Image Prior for Super Resolution Using Restricted Boltzmann Machine  C Kang, M Hong, SI Yoo
2014   Deep convolutional filter banks for texture recognition and segmentation  M Cimpoi, S Maji, A Vedaldi