Photoionization in the time and frequency domain [PDF]
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]
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]
. 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]
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]
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]
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]
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]
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]
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
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

