Co-occurring keywords · papers mentioning both
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