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20012026
most citedVASPKIT: A User-friendly Interface Facilitating High-throughput Computing and Analysis Using VASP Code

7.9k citations

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12 papers · 1 filter

cs.CV2026

Forward Consistency Learning with Gated Context Aggregation for Video Anomaly Detection

Jiahao Lyu, Minghua Zhao, Xuewen Huang +5

As a crucial element of public security, video anomaly detection (VAD) aims to measure deviations from normal patterns for various events in real-time surveillance systems. However…

cs.CV2024★ 2 cited

Appearance Blur-driven AutoEncoder and Motion-guided Memory Module for Video Anomaly Detection

Jiahao Lyu, Minghua Zhao, Jing Hu +4

Video anomaly detection (VAD) often learns the distribution of normal samples and detects the anomaly through measuring significant deviations, but the undesired generalization may…

cs.CV2024★ 10 cited

Bidirectional skip-frame prediction for video anomaly detection with intra-domain disparity-driven attention

Jiahao Lyu, Minghua Zhao, Jing Hu +5

With the widespread deployment of video surveillance devices and the demand for intelligent system development, video anomaly detection (VAD) has become an important part of constr…

cs.CV2022★ 5 cited

PTGCF: Printing Texture Guided Color Fusion for Impressionism Oil Painting Style Rendering

Jing Geng, Li'e Ma, Xiaoquan Li +1

As a major branch of Non-Photorealistic Rendering (NPR), image stylization mainly uses the computer algorithms to render a photo into an artistic painting. Recent work has shown th…

cs.CV2021★ 1 cited

Locality Constrained Analysis Dictionary Learning via K-SVD Algorithm

Kun Jiang, Zhaoli Liu, Zheng Liu +1

Recent years, analysis dictionary learning (ADL) and its applications for classification have been well developed, due to its flexible projective ability and low classification com…

cs.CV2020★ 14 cited

FedBoosting: Federated Learning with Gradient Protected Boosting for Text Recognition

Hanchi Ren, Jingjing Deng, Xianghua Xie +2

Typical machine learning approaches require centralized data for model training, which may not be possible where restrictions on data sharing are in place due to, for instance, pri…