Results 11 to 20 of about 9,436,750 (310)
Learning in the Frequency Domain [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 Accepted to CVPR 2020; https://github.com/calmevtime ...
Kai Xu 0007 +5 more
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Uncovering interactions in the frequency domain. [PDF]
PLoS Computational Biology, 2008 Oscillatory activity plays a critical role in regulating biological processes at levels ranging from subcellular, cellular, and network to the whole organism, and often involves a large number of interacting elements.
Shuixia Guo +3 more
doaj +6 more sources
Photoionization in the time and frequency domain [PDF]
Science, 2017 Resetting the clock on photoemission The ability to produce attosecond pulses of light provides access to some of the fastest electronic processes occurring within atoms. Tracking the temporal dynamics of the photoemission process in which an atom absorbs a high-energy photon and the electron escapes has exposed a discrepancy ...
M. Isinger +13 more
openaire +5 more sources
Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring [PDF]
Computer Vision and Pattern Recognition, 2022 We present an effective and efficient method that explores the properties of Transformers in the frequency domain for high-quality image deblurring. Our method is motivated by the convolution theorem that the correlation or convolution of two signals in ...
Lingshun Kong +4 more
semanticscholar +1 more source
Frequency Domain Model Augmentation for Adversarial Attack [PDF]
European Conference on Computer Vision, 2022 . For black-box attacks, the gap between the substitute model and the victim model is usually large, which manifests as a weak attack performance. Motivated by the observation that the transferability of adversarial examples can be improved by attacking ...
Yuyang Long +6 more
semanticscholar +1 more source
Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain [PDF]
Computer Vision and Pattern Recognition, 2021 The remarkable success in face forgery techniques has received considerable attention in computer vision due to security concerns. We observe that up-sampling is a necessary step of most face forgery techniques, and cumulative up-sampling will result in ...
Honggu Liu +7 more
semanticscholar +1 more source
PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation [PDF]
Computer Vision and Pattern Recognition, 2023 Recently, transformer-based methods have gained significant success in sequential 2D-to-3D lifting human pose estimation. As a pioneering work, PoseFormer captures spatial relations of human joints in each video frame and human dynamics across frames ...
Qitao Zhao +4 more
semanticscholar +1 more source
Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis [PDF]
Conference on Computer and Communications Security, 2021 Machine learning (ML) based malicious traffic detection is an emerging security paradigm, particularly for zero-day attack detection, which is complementary to existing rule based detection. However, the existing ML based detection achieves low detection
Chuanpu Fu, Qi Li, Meng Shen, Ke Xu
semanticscholar +1 more source
Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction [PDF]
ACM Multimedia, 2022 Adaptation to out-of-distribution data is a meta-challenge for all statistical learning algorithms that strongly rely on the i.i.d. assumption. It leads to unavoidable labor costs and confidence crises in realistic applications.
Jing-Yi Wang +4 more
semanticscholar +1 more source
Testing the Resilience of CSR Stocks during the COVID-19 Crisis: A Transcontinental Analysis
Mathematics, 2021 Investors and practitioners are increasingly concerned with financial assets within the scope of corporate social responsibility (CSR) meaning that, in recent times, such assets have become enshrined in the preferences of the new generations of investors
María del Carmen Valls Martínez +1 more
doaj +1 more source