Spectral Representations for Convolutional Neural Networks

11 June 2015

Papers citing "Spectral Representations for Convolutional Neural Networks"

44 / 44 papers shown

Title
Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution Qing Guo Fei Ge Jinchen Zhu Hao Fei Qi Wu Jifeng Ren Shizhuang Weng 41 0 0 26 Apr 2025
Learning to See Through Dazzle Xiaopeng Peng Erin F. Fleet A. Watnik Grover A. Swartzlander GAN AAML 34 4 0 24 Feb 2024
Frequency Regularization: Restricting Information Redundancy of Convolutional Neural Networks Chenqiu Zhao Guanfang Dong Shupei Zhang Zijie Tan Anup Basu 40 1 0 17 Apr 2023
A Survey on Deep Learning based Time Series Analysis with Frequency Transformation Kun Yi Qi Zhang LongBing Cao Shoujin Wang Guodong Long Liang Hu Hui He ZhenDong Niu Wei Fan Hui Xiong AI4TS 57 22 0 04 Feb 2023
On the Feasibility of Machine Learning Augmented Magnetic Resonance for Point-of-Care Identification of Disease R. Singhal Mukund Sudarshan Anish Mahishi S. Kaushik L. Ginocchio A. Tong H. Chandarana D. Sodickson Rajesh Ranganath S. Chopra 36 5 0 27 Jan 2023
Spectral Cross-Domain Neural Network with Soft-adaptive Threshold Spectral Enhancement Che Liu Sibo Cheng Weiping Ding Rossella Arcucci 42 9 0 10 Jan 2023
Image Completion with Heterogeneously Filtered Spectral Hints Xingqian Xu Shant Navasardyan Vahram Tadevosyan Andranik Sargsyan Yadong Mu Humphrey Shi 24 24 0 07 Nov 2022
Towards General-Purpose Representation Learning of Polygonal Geometries Gengchen Mai C. Jiang Weiwei Sun Rui Zhu Yao Xuan Ling Cai K. Janowicz Stefano Ermon Ni Lao 35 38 0 29 Sep 2022
Fast-FNet: Accelerating Transformer Encoder Models via Efficient Fourier Layers Nurullah Sevim Ege Ozan Özyedek Furkan Şahinuç Aykut Koç 35 11 0 26 Sep 2022
k-strip: A novel segmentation algorithm in k-space for the application of skull stripping Moritz Rempe F. Mentzel Kelsey L. Pomykala Johannes Haubold F. Nensa K. Kröninger Jan Egger Jens Kleesiek 35 8 0 19 May 2022
Learning Convolutional Neural Networks in the Frequency Domain H. Pan Yixin Chen Xin-Yi Niu Wenbo Zhou Dongsheng Li OOD 25 9 0 14 Apr 2022
Learning strides in convolutional neural networks Rachid Riad O. Teboul David Grangier Neil Zeghidour 36 41 0 03 Feb 2022
Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach Xing Ai Zhihong Zhang Luzhe Sun Junchi Yan Edwin R. Hancock GNN 39 11 0 13 Jan 2022
Intriguing Findings of Frequency Selection for Image Deblurring Xintian Mao Yiming Liu Fengze Liu Qingli Li Wei Shen Yan Wang 34 147 0 23 Nov 2021
RCA-IUnet: A residual cross-spatial attention guided inception U-Net model for tumor segmentation in breast ultrasound imaging Narinder Singh Punn Sonali Agarwal 32 59 0 05 Aug 2021
Resolution learning in deep convolutional networks using scale-space theory Silvia L.Pintea Nergis Tomen Stanley F. Goes Marco Loog Jan van Gemert SupR SSL 30 37 0 07 Jun 2021
LiftPool: Bidirectional ConvNet Pooling Jiaojiao Zhao Cees G. M. Snoek 8 19 0 02 Apr 2021
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images Narinder Singh Punn Sonali Agarwal 32 31 0 13 Dec 2020
Complex-valued Iris Recognition Network Kien Nguyen Clinton Fookes Sridha Sridharan Arun Ross CVBM 18 24 0 23 Nov 2020
Pooling Methods in Deep Neural Networks, a Review Hossein Gholamalinezhad H. Khosravi 27 216 0 16 Sep 2020
Image classification in frequency domain with 2SReLU: a second harmonics superposition activation function Thomio Watanabe D. Wolf 19 22 0 18 Jun 2020
Experimenting with Convolutional Neural Network Architectures for the automatic characterization of Solitary Pulmonary Nodules' malignancy rating Ioannis D. Apostolopoulos 33 3 0 15 Mar 2020
Harmonic Convolutional Networks based on Discrete Cosine Transform Matej Ulicny V. Krylov Rozenn Dahyot 27 34 0 18 Jan 2020
Deep Sparse Band Selection for Hyperspectral Face Recognition Fariborz Taherkhani J. Dawson Nasser M. Nasrabadi CVBM 20 11 0 15 Aug 2019
Object Detection in 20 Years: A Survey Zhengxia Zou Keyan Chen Zhenwei Shi Yuhong Guo Jieping Ye VLM ObjD AI4TS 32 2,288 0 13 May 2019
Learning Vertex Convolutional Networks for Graph Classification Lu Bai Lixin Cui Shu Wu Yuhang Jiao Edwin R. Hancock GNN 19 1 0 26 Feb 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition Zizhao Zhang Adriana Romero Matthew Muckley Pascal Vincent Lin Yang M. Drozdzal 19 110 0 08 Feb 2019
Harmonic Networks: Integrating Spectral Information into CNNs Matej Ulicny V. Krylov Rozenn Dahyot 23 7 0 07 Dec 2018
Hartley Spectral Pooling for Deep Learning Huatian Zhang Jianwei Ma 23 24 0 07 Oct 2018
Temporal Pattern Attention for Multivariate Time Series Forecasting Shun-Yao Shih Fan-Keng Sun Hung-yi Lee AI4TS 29 707 0 12 Sep 2018
Isometric Transformation Invariant Graph-based Deep Neural Network Renata Khasanova P. Frossard 33 3 0 21 Aug 2018
Reconstruction of Simulation-Based Physical Field by Reconstruction Neural Network Method Yu Li Hu Wang Kangjia Mo Tao Zeng 3DV AI4CE 30 7 0 19 Apr 2018
Detail-Preserving Pooling in Deep Networks Faraz Saeedan Nicolas Weber Michael Goesele Stefan Roth 58 90 0 11 Apr 2018
DGCNN: Disordered Graph Convolutional Neural Network Based on the Gaussian Mixture Model Bo Wu Yang Liu B. Lang Lei Huang 27 68 0 10 Dec 2017
A Frequency Domain Neural Network for Fast Image Super-resolution Junxuan Li Shaodi You A. Robles-Kelly SupR 28 34 0 08 Dec 2017
Learning SO(3) Equivariant Representations with Spherical CNNs Carlos Esteves Christine Allen-Blanchette A. Makadia Kostas Daniilidis 65 509 0 17 Nov 2017
First and Second Order Methods for Online Convolutional Dictionary Learning Jialin Liu Cristina Garcia-Cardona B. Wohlberg W. Yin 27 27 0 31 Aug 2017
Deep Complex Networks C. Trabelsi O. Bilaniuk Ying Zhang Dmitriy Serdyuk Sandeep Subramanian J. F. Santos Soroush Mehri Negar Rostamzadeh Yoshua Bengio C. Pal 39 824 0 27 May 2017
Real-Time Adaptive Image Compression Oren Rippel Lubomir D. Bourdev 19 559 0 16 May 2017
Conditional Time Series Forecasting with Convolutional Neural Networks Anastasia Borovykh S. Bohté C. Oosterlee AI4TS 16 468 0 14 Mar 2017
Robust Spatial Filtering with Graph Convolutional Neural Networks F. Such Shagan Sah Miguel Domínguez Suhas Pillai Chao Zhang A. Michael N. Cahill R. Ptucha GNN 29 140 0 02 Mar 2017
DeepSense: A Unified Deep Learning Framework for Time-Series Mobile Sensing Data Processing Shuochao Yao Shaohan Hu Yiran Zhao Aston Zhang Tarek F. Abdelzaher HAI AI4TS 30 616 0 07 Nov 2016
Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units Wenling Shang Kihyuk Sohn Diogo Almeida Honglak Lee 24 499 0 16 Mar 2016
Compressing Convolutional Neural Networks Wenlin Chen James T. Wilson Stephen Tyree Kilian Q. Weinberger Yixin Chen 26 139 0 14 Jun 2015