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20172024
most citedAggregated Deep Local Features for Remote Sensing Image Retrieval

76 citations · 168 across the 15 of their papers we have counts for

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16 papers · 1 filter

cs.CV2024

TeG: Temporal-Granularity Method for Anomaly Detection with Attention in Smart City Surveillance

Erkut Akdag, Egor Bondarev, Peter H. N. De With

Anomaly detection in video surveillance has recently gained interest from the research community. Temporal duration of anomalies vary within video streams, leading to complications…

cs.CV2024

MTFL: Multi-Timescale Feature Learning for Weakly-Supervised Anomaly Detection in Surveillance Videos

Yiling Zhang, Erkut Akdag, Egor Bondarev +1

Detection of anomaly events is relevant for public safety and requires a combination of fine-grained motion information and contextual events at variable time-scales. To this end,…

cs.CV20247 cited

Density-Guided Label Smoothing for Temporal Localization of Driving Actions

Tunc Alkanat, Erkut Akdag, Egor Bondarev +1

Temporal localization of driving actions plays a crucial role in advanced driver-assistance systems and naturalistic driving studies. However, this is a challenging task due to str…

cs.CV202411 cited

Transformer-based Fusion of 2D-pose and Spatio-temporal Embeddings for Distracted Driver Action Recognition

Erkut Akdag, Zeqi Zhu, Egor Bondarev +1

Classification and localization of driving actions over time is important for advanced driver-assistance systems and naturalistic driving studies. Temporal localization is challeng…

cs.CV20245 cited

Detection of Object Throwing Behavior in Surveillance Videos

Ivo P. C. Kersten, Erkut Akdag, Egor Bondarev +1

Anomalous behavior detection is a challenging research area within computer vision. Progress in this area enables automated detection of dangerous behavior using surveillance camer…

cs.CV2023

Automated Camera Calibration via Homography Estimation with GNNs

Giacomo D'Amicantonio, Egor Bondarev, Peter H. N. De With

Over the past few decades, a significant rise of camera-based applications for traffic monitoring has occurred. Governments and local administrations are increasingly relying on th…