Saved in:
| Main Authors: | Abdulaziz, Sara, Bondarev, Egor |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2507.14083 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset
by: Abdulaziz, Sara, et al.
Published: (2025)
by: Abdulaziz, Sara, et al.
Published: (2025)
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
by: Zhang, Yiling, et al.
Published: (2024)
by: Zhang, Yiling, et al.
Published: (2024)
SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling
by: Lendering, Camile, et al.
Published: (2026)
by: Lendering, Camile, et al.
Published: (2026)
TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance
by: Akdag, Erkut, et al.
Published: (2024)
by: Akdag, Erkut, et al.
Published: (2024)
Detection of Object Throwing Behavior in Surveillance Videos
by: Kersten, Ivo P. C., et al.
Published: (2024)
by: Kersten, Ivo P. C., et al.
Published: (2024)
Mixture of Experts Guided by Gaussian Splatters Matters: A new Approach to Weakly-Supervised Video Anomaly Detection
by: D'Amicantonio, Giacomo, et al.
Published: (2025)
by: D'Amicantonio, Giacomo, et al.
Published: (2025)
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy Versus Performance
by: Asres, Mulugeta Weldezgina, et al.
Published: (2024)
by: Asres, Mulugeta Weldezgina, et al.
Published: (2024)
Just Dance with $π$! A Poly-modal Inductor for Weakly-supervised Video Anomaly Detection
by: Majhi, Snehashis, et al.
Published: (2025)
by: Majhi, Snehashis, et al.
Published: (2025)
Boxes2Pixels: Learning Defect Segmentation from Noisy SAM Masks
by: Lendering, Camile, et al.
Published: (2026)
by: Lendering, Camile, et al.
Published: (2026)
LiveStre4m: Feed-Forward Live Streaming of Novel Views from Unposed Multi-View Video
by: Quesado, Pedro, et al.
Published: (2026)
by: Quesado, Pedro, et al.
Published: (2026)
Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition
by: Akdag, Erkut, et al.
Published: (2024)
by: Akdag, Erkut, et al.
Published: (2024)
Density-Guided Label Smoothing for Temporal Localization of Driving Actions
by: Alkanat, Tunc, et al.
Published: (2024)
by: Alkanat, Tunc, et al.
Published: (2024)
Video Anomaly Detection with Contours -- A Study
by: Siemon, Mia, et al.
Published: (2025)
by: Siemon, Mia, et al.
Published: (2025)
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection
by: Hasan, Mahmudul, et al.
Published: (2025)
by: Hasan, Mahmudul, et al.
Published: (2025)
Unmasking Deepfakes: Masked Autoencoding Spatiotemporal Transformers for Enhanced Video Forgery Detection
by: Das, Sayantan, et al.
Published: (2023)
by: Das, Sayantan, et al.
Published: (2023)
Contracting Skeletal Kinematics for Human-Related Video Anomaly Detection
by: Flaborea, Alessandro, et al.
Published: (2023)
by: Flaborea, Alessandro, et al.
Published: (2023)
F3G-Avatar : Face Focused Full-body Gaussian Avatar
by: Menu, Willem, et al.
Published: (2026)
by: Menu, Willem, et al.
Published: (2026)
Scaling Self-Supervised and Cross-Modal Pretraining for Volumetric CT Transformers
by: Claessens, Cris, et al.
Published: (2025)
by: Claessens, Cris, et al.
Published: (2025)
From Frames to Events: Rethinking Evaluation in Human-Centric Video Anomaly Detection
by: Rashvand, Narges, et al.
Published: (2026)
by: Rashvand, Narges, et al.
Published: (2026)
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study
by: Pant, Aayushma, et al.
Published: (2025)
by: Pant, Aayushma, et al.
Published: (2025)
Unmasked Teacher: Towards Training-Efficient Video Foundation Models
by: Li, Kunchang, et al.
Published: (2023)
by: Li, Kunchang, et al.
Published: (2023)
A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking
by: Mahmoud, Mohamed, et al.
Published: (2024)
by: Mahmoud, Mohamed, et al.
Published: (2024)
Variational Autoencoder for Anomaly Detection: A Comparative Study
by: Nguyen, Huy Hoang, et al.
Published: (2024)
by: Nguyen, Huy Hoang, et al.
Published: (2024)
BLANKET: Anonymizing Faces in Infant Video Recordings
by: Hadera, Ditmar, et al.
Published: (2025)
by: Hadera, Ditmar, et al.
Published: (2025)
Unveiling Context-Related Anomalies: Knowledge Graph Empowered Decoupling of Scene and Action for Human-Related Video Anomaly Detection
by: Chen, Chenglizhao, et al.
Published: (2024)
by: Chen, Chenglizhao, et al.
Published: (2024)
Open-Vocabulary Video Anomaly Detection
by: Wu, Peng, et al.
Published: (2023)
by: Wu, Peng, et al.
Published: (2023)
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024)
by: Noghre, Ghazal Alinezhad, et al.
Published: (2024)
3D Human-Human Interaction Anomaly Detection
by: Maeda, Shun, et al.
Published: (2025)
by: Maeda, Shun, et al.
Published: (2025)
AnyAnomaly: Zero-Shot Customizable Video Anomaly Detection with LVLM
by: Ahn, Sunghyun, et al.
Published: (2025)
by: Ahn, Sunghyun, et al.
Published: (2025)
Learn Suspected Anomalies from Event Prompts for Video Anomaly Detection
by: Tao, Chenchen, et al.
Published: (2024)
by: Tao, Chenchen, et al.
Published: (2024)
ComplexVAD: Detecting Interaction Anomalies in Video
by: Mumcu, Furkan, et al.
Published: (2025)
by: Mumcu, Furkan, et al.
Published: (2025)
Odd-One-Out: Anomaly Detection by Comparing with Neighbors
by: Bhunia, Ankan, et al.
Published: (2024)
by: Bhunia, Ankan, et al.
Published: (2024)
uTRAND: Unsupervised Anomaly Detection in Traffic Trajectories
by: D'Amicantonio, Giacomo, et al.
Published: (2024)
by: D'Amicantonio, Giacomo, et al.
Published: (2024)
DUAL-VAD: Dual Benchmarks and Anomaly-Focused Sampling for Video Anomaly Detection
by: Jung, Seoik, et al.
Published: (2025)
by: Jung, Seoik, et al.
Published: (2025)
Weakly Supervised Video Anomaly Detection with Anomaly-Connected Components and Intention Reasoning
by: Wang, Yu, et al.
Published: (2026)
by: Wang, Yu, et al.
Published: (2026)
A Survey on Video Anomaly Detection via Deep Learning: Human, Vehicle, and Environment
by: Noghre, Ghazal Alinezhad, et al.
Published: (2025)
by: Noghre, Ghazal Alinezhad, et al.
Published: (2025)
Video Anomaly Detection in 10 Years: A Survey and Outlook
by: Abdalla, Moshira, et al.
Published: (2024)
by: Abdalla, Moshira, et al.
Published: (2024)
Assessing the Use of Face Swapping Methods as Face Anonymizers in Videos
by: Muştu, Mustafa İzzet, et al.
Published: (2025)
by: Muştu, Mustafa İzzet, et al.
Published: (2025)
HumanSAM: Classifying Human-centric Forgery Videos in Human Spatial, Appearance, and Motion Anomaly
by: Liu, Chang, et al.
Published: (2025)
by: Liu, Chang, et al.
Published: (2025)
Simplifying Traffic Anomaly Detection with Video Foundation Models
by: Orlova, Svetlana, et al.
Published: (2025)
by: Orlova, Svetlana, et al.
Published: (2025)
Similar Items
-
Evaluation of Human Visual Privacy Protection: A Three-Dimensional Framework and Benchmark Dataset
by: Abdulaziz, Sara, et al.
Published: (2025) -
MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos
by: Zhang, Yiling, et al.
Published: (2024) -
SubspaceAD: Training-Free Few-Shot Anomaly Detection via Subspace Modeling
by: Lendering, Camile, et al.
Published: (2026) -
TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance
by: Akdag, Erkut, et al.
Published: (2024) -
Detection of Object Throwing Behavior in Surveillance Videos
by: Kersten, Ivo P. C., et al.
Published: (2024)