TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation

8 July 2021

Papers citing "TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation"

25 / 25 papers shown

Title
AnomalyHop: An SSL-based Image Anomaly Localization Method Kaitai Zhang Bin Wang Wen Wang Fahad Sohrab Moncef Gabbouj C.-C. Jay Kuo 57 16 0 08 May 2021
R-PointHop: A Green, Accurate, and Unsupervised Point Cloud Registration Method Pranav Kadam Min Zhang Shan Liu C.-C. Jay Kuo 3DPC 37 58 0 15 Mar 2021
DefakeHop: A Light-Weight High-Performance Deepfake Detector Hong-Shuo Chen Mozhdeh Rouhsedaghat Hamza Ghani Shuowen Hu Suya You C.-C. Jay Kuo 44 78 0 11 Mar 2021
Successive Subspace Learning: An Overview Mozhdeh Rouhsedaghat Masoud Monajatipoor Zohreh Azizi C.-C. Jay Kuo 35 15 0 27 Feb 2021
VoxelHop: Successive Subspace Learning for ALS Disease Classification Using Structural MRI Xiaofeng Liu Fangxu Xing Chao Yang C.-C. Jay Kuo S. Babu Xiaofeng Liu Thomas Jenkins Jonghye Woo 32 30 0 13 Jan 2021
NITES: A Non-Parametric Interpretable Texture Synthesis Method Xuejing Lei Ganning Zhao C.-C. Jay Kuo 36 19 0 02 Sep 2020
Unsupervised Point Cloud Registration via Salient Points Analysis (SPA) Pranav Kadam Min Zhang Shan Liu C.-C. Jay Kuo 3DPC 30 23 0 02 Sep 2020
Unsupervised Feedforward Feature (UFF) Learning for Point Cloud Classification and Segmentation Min Zhang Pranav Kadam Shan Liu C.-C. Jay Kuo 3DPC 40 20 0 02 Sep 2020
FaceHop: A Light-Weight Low-Resolution Face Gender Classification Method Mozhdeh Rouhsedaghat Yifan Wang Xiou Ge Shuowen Hu Suya You C.-C. Jay Kuo CVBM 46 42 0 18 Jul 2020
PixelHop++: A Small Successive-Subspace-Learning-Based (SSL-based) Model for Image Classification Yueru Chen Mozhdeh Rouhsedaghat Suya You Raghuveer Rao C.-C. Jay Kuo 46 70 0 08 Feb 2020
Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing V. Monga Yuelong Li Yonina C. Eldar 100 1,022 0 22 Dec 2019
PointHop: An Explainable Machine Learning Method for Point Cloud Classification Min Zhang Haoxuan You Pranav Kadam Shan Liu C.-C. Jay Kuo 3DPC 32 109 0 30 Jul 2019
An Interpretable Compression and Classification System: Theory and Applications T. Tseng Kai-Jiun Yang C.-C. Jay Kuo Shang-Ho S. Tsai 44 11 0 21 Jul 2019
Texture Fields: Learning Texture Representations in Function Space Michael Oechsle L. Mescheder Michael Niemeyer Thilo Strauss Andreas Geiger 3DH 3DV 97 299 0 17 May 2019
Re-Identification Supervised Texture Generation Jian Wang Mingliang Xu Yachun Li Chi Zhang Yichen Wei 3DH 86 29 0 06 Apr 2019
Visualization, Discriminability and Applications of Interpretable Saak Features Abinaya Manimaran T. Ramanathan Suya You C.-C. Jay Kuo FAtt 67 8 0 25 Feb 2019
Interpretable Convolutional Neural Networks via Feedforward Design C.-C. Jay Kuo Min Zhang Siyang Li Jiali Duan Yueru Chen 59 157 0 05 Oct 2018
Visual Analytics for Explainable Deep Learning Jaegul Choo Shixia Liu HAI XAI 58 236 0 07 Apr 2018
Universal Style Transfer via Feature Transforms Yijun Li Chen Fang Jimei Yang Zhaowen Wang Xin Lu Ming-Hsuan Yang DiffM 106 990 0 23 May 2017
Diversified Texture Synthesis with Feed-forward Networks Yijun Li Chen Fang Jimei Yang Zhaowen Wang Xin Lu Ming-Hsuan Yang 52 268 0 05 Mar 2017
Stable and Controllable Neural Texture Synthesis and Style Transfer Using Histogram Losses E. Risser Pierre Wilmot Connelly Barnes 96 248 0 31 Jan 2017
Understanding Convolutional Neural Networks with A Mathematical Model C.-C. Jay Kuo FAtt 46 374 0 14 Sep 2016
Improved Techniques for Training GANs Tim Salimans Ian Goodfellow Wojciech Zaremba Vicki Cheung Alec Radford Xi Chen GAN 480 9,052 0 10 Jun 2016
Texture Synthesis Through Convolutional Neural Networks and Spectrum Constraints Gang Liu Y. Gousseau Gui-Song Xia 3DV 33 56 0 04 May 2016
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images Dmitry Ulyanov V. Lebedev Andrea Vedaldi Victor Lempitsky 3DH 56 947 0 10 Mar 2016