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fourier transform

117 papers

FT

Papers

Deep Fourier Up-Sampling NeurIPS 2022 Depth and Feature Learning are Provably Beneficial for Neural Network Discriminators COLT 2022 Exploring Fourier Prior for Single Image Rain Removal IJCAI 2022 Fast Algorithm for Low-Rank Tensor Completion in Delay-Embedded Space CVPR 2022 FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting ICML 2022 FNet: Mixing Tokens with Fourier Transforms NAACL 2022 Fourier Document Restoration for Robust Document Dewarping and Recognition CVPR 2022 Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-Time CVPR 2022 Harnessing Fourier Isovists and Geodesic Interaction for Long-Term Crowd Flow Prediction IJCAI 2022 Mappings for Marginal Probabilities with Applications to Models in Statistical Physics JMLR 2022 Oscillatory Fourier Neural Network: A Compact and Efficient Architecture for Sequential Processing AAAI 2022 Polynomial Neural Fields for Subband Decomposition and Manipulation NeurIPS 2022 Transform Once: Efficient Operator Learning in Frequency Domain NeurIPS 2022 A Fourier-Based Framework for Domain Generalization CVPR 2021 A Theory of Heuristic Learnability COLT 2021 Fourier Contour Embedding for Arbitrary-Shaped Text Detection CVPR 2021 Fourier Neural Operator for Parametric Partial Differential Equations ICLR 2021 Fourier Space Losses for Efficient Perceptual Image Super-Resolution ICCV 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021 Generative Time-series Modeling with Fourier Flows ICLR 2021 Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases AAAI 2021 RDA: Robust Domain Adaptation via Fourier Adversarial Attacking ICCV 2021 FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions CVPR 2020 FDA: Fourier Domain Adaptation for Semantic Segmentation CVPR 2020 Fourier movement primitives: an approach for learning rhythmic robot skills from demonstrations RSS 2020