Results 11 to 20 of about 9,784,899 (249)

Photoionization in the time and frequency domain [PDF]

open access: yesScience, 2017
Ultrafast processes in matter, such as the electron emission following light absorption, can now be studied using ultrashort light pulses of attosecond duration ($10^{-18}$s) in the extreme ultraviolet spectral range.
Arnold, C. L.   +13 more
core   +2 more sources

Efficient Frequency Domain-based Transformers for High-Quality Image Deblurring [PDF]

open access: yesComputer 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]

open access: yesEuropean 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]

open access: yesComputer 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]

open access: yesComputer 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 ...
Qi-jun Zhao   +4 more
semanticscholar   +1 more source

Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis [PDF]

open access: yesConference 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]

open access: yesACM 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

Learning in the Frequency Domain [PDF]

open access: yesComputer Vision and Pattern Recognition, 2020
Deep neural networks have achieved remarkable success in computer vision tasks. Existing neural networks mainly operate in the spatial domain with fixed input sizes.
Kai Xu   +5 more
semanticscholar   +1 more source

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space [PDF]

open access: yesComputer Vision and Pattern Recognition, 2021
Federated learning allows distributed medical institutions to collaboratively learn a shared prediction model with privacy protection. While at clinical deployment, the models trained in federated learning can still suffer from performance drop when ...
Quande Liu   +4 more
semanticscholar   +1 more source

BLACKSMITH: Scalable Rowhammering in the Frequency Domain

open access: yesIEEE Symposium on Security and Privacy, 2022
We present the new class of non-uniform Rowhammer access patterns that bypass undocumented, proprietary in-DRAM Target Row Refresh (TRR) while operating in a production setting. We show that these patterns trigger bit flips on all 40 DDR4 DRAM devices in
Patrick Jattke   +4 more
semanticscholar   +1 more source

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