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08/31/2023
CL-MAE: Curriculum-Learned Masked Autoencoders
Masked image modeling has been demonstrated as a powerful pretext task f...
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08/09/2023
Which Tokens to Use? Investigating Token Reduction in Vision Transformers
Since the introduction of the Vision Transformer (ViT), researchers have...
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06/26/2023
Beyond AUROC co. for evaluating out-of-distribution detection performance
While there has been a growing research interest in developing out-of-di...
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02/21/2023
BrackishMOT: The Brackish Multi-Object Tracking Dataset
There exist no publicly available annotated underwater multi-object trac...
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09/25/2022
Self-Supervised Masked Convolutional Transformer Block for Anomaly Detection
Anomaly detection has recently gained increasing attention in the field ...
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07/20/2022
MOTCOM: The Multi-Object Tracking Dataset Complexity Metric
There exists no comprehensive metric for describing the complexity of Mu...
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07/16/2022
SSMTL++: Revisiting Self-Supervised Multi-Task Learning for Video Anomaly Detection
A self-supervised multi-task learning (SSMTL) framework for video anomal...
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02/15/2022
Deep Learning-based Anomaly Detection on X-ray Images of Fuel Cell Electrodes
Anomaly detection in X-ray images has been an active and lasting researc...
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01/16/2022
Video Transformers: A Survey
Transformer models have shown great success modeling long-range interact...
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11/17/2021
Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection
Anomaly detection is commonly pursued as a one-class classification prob...
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11/15/2021
Multi-Task Classification of Sewer Pipe Defects and Properties using a Cross-Task Graph Neural Network Decoder
The sewerage infrastructure is one of the most important and expensive i...
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09/20/2021
Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions
Personality computing has become an emerging topic in computer vision, d...
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09/15/2021
Navigation-Oriented Scene Understanding for Robotic Autonomy: Learning to Segment Driveability in Egocentric Images
This work tackles scene understanding for outdoor robotic navigation, so...
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03/19/2021
Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark
Perhaps surprisingly sewerage infrastructure is one of the most costly i...
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02/05/2021
Real-World Super-Resolution of Face-Images from Surveillance Cameras
Most existing face image Super-Resolution (SR) methods assume that the L...
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01/26/2021
Introducing and assessing the explainable AI (XAI)method: SIDU
Explainable Artificial Intelligence (XAI) has in recent years become a w...
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06/15/2020
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset
In this work we present a novel publicly available stereo based 3D RGB d...
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06/04/2020
SIDU: Similarity Difference and Uniqueness Method for Explainable AI
A new brand of technical artificial intelligence ( Explainable AI ) rese...
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04/03/2020
Effective Fusion of Deep Multitasking Representations for Robust Visual Tracking
Visual object tracking remains an active research field in computer visi...
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04/01/2020
Evaluation of Model Selection for Kernel Fragment Recognition in Corn Silage
Model selection when designing deep learning systems for specific use-ca...
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12/03/2019
A Context-Aware Loss Function for Action Spotting in Soccer Videos
Action spotting is an important element of general activity understandin...
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08/12/2019
Is it Raining Outside? Detection of Rainfall using General-Purpose Surveillance Cameras
In integrated surveillance systems based on visual cameras, the mitigati...
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10/30/2018
Rain Removal in Traffic Surveillance: Does it Matter?
Varying weather conditions, including rainfall and snowfall, are general...
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09/10/2018
The AAU Multimodal Annotation Toolboxes: Annotating Objects in Images and Videos
This tech report gives an introduction to two annotation toolboxes that ...
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05/25/2018
A Double-Deep Spatio-Angular Learning Framework for Light Field based Face Recognition
Face recognition has attracted increasing attention due to its wide rang...
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03/13/2016
