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- research-articleAugust 2024
Light Path Guided Culling for Hybrid Real-Time Path Tracing
Proceedings of the ACM on Computer Graphics and Interactive Techniques (PACMCGIT), Volume 7, Issue 3Article No.: 37, Pages 1–17https://doi.org/10.1145/3675387Rendering visually convincing images requires realistic lighting. Path tracing has long been used in offline rendering to produce photorealistic images. While recent hardware advancements allow ray tracing methods to be employed in real-time renderers, ...
- research-articleJuly 2024
NeRF-FF: a plug-in method to mitigate defocus blur for runtime optimized neural radiance fields
The Visual Computer: International Journal of Computer Graphics (VISC), Volume 40, Issue 7Jul 2024, Pages 5043–5055https://doi.org/10.1007/s00371-024-03507-yAbstractNeural radiance fields (NeRFs) have revolutionized novel view synthesis, leading to an unprecedented level of realism in rendered images. However, the reconstruction quality of NeRFs suffers significantly from out-of-focus regions in the input ...
- research-articleMarch 2024
Fairness in face presentation attack detection
AbstractFace recognition (FR) algorithms have been proven to exhibit discriminatory behaviors against certain demographic and non-demographic groups, raising ethical and legal concerns regarding their deployment in real-world scenarios. Despite the ...
Highlights- A novel Combined Attribute Annotated PAD Dataset including seven attribute labels.
- A metric to jointly represent the absolute PAD performance and the PAD fairness.
- Detailed fairness assessments reveals unfairness induced by data ...
- research-articleNovember 2023
Ubiquitous multi-occupant detection in smart environments
Neural Computing and Applications (NCAA), Volume 36, Issue 6Feb 2024, Pages 2941–2960https://doi.org/10.1007/s00521-023-09162-zAbstractRecent advancements in ubiquitous computing have emphasized the need for privacy-preserving occupancy detection in smart environments to enhance security. This work presents a novel occupancy detection solution utilizing privacy-aware sensing ...
- research-articleOctober 2023
Making Noise - Improving Seismocardiography Based Heart Analysis With Denoising Autoencoders
iWOAR '23: Proceedings of the 8th international Workshop on Sensor-Based Activity Recognition and Artificial IntelligenceSeptember 2023, Article No.: 24, Pages 1–9https://doi.org/10.1145/3615834.3615847Seismocardiography is a method commonly used to monitor and prevent cardiovascular diseases. However, noise and artifacts in the signals often interfere with the assessment of cardiac health and the analysis of the signal morphology. Therefore, this ...
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- ArticleApril 2023
Distortion-Based Transparency Detection Using Deep Learning on a Novel Synthetic Image Dataset
- Volker Knauthe,
- Thomas Pöllabauer,
- Katharina Faller,
- Maurice Kraus,
- Tristan Wirth,
- Max von Buelow,
- Arjan Kuijper,
- Dieter W. Fellner
AbstractTransparency detection is a hard problem, as suggested by animals and humans flying or running into glass. However, humans seem to be able to learn and improve on the task with experience, begging the question, whether computers are able to do so ...
- research-articleJanuary 2023
Unsupervised Face Recognition using Unlabeled Synthetic Data
2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)Jan 2023, Pages 1–8https://doi.org/10.1109/FG57933.2023.10042627Over the past years, the main research innovations in face recognition focused on training deep neural networks on large-scale identity-labeled datasets using variations of multi-class classification losses. However, many of these datasets are retreated ...
- research-articleJanuary 2023
Reducing Deployment Cost for Passive Electric Field Sensors
iWOAR '22: Proceedings of the 7th International Workshop on Sensor-based Activity Recognition and Artificial IntelligenceSeptember 2022, Article No.: 12, Pages 1–8https://doi.org/10.1145/3558884.3558886Electric field sensors are used in a variety of ways to recognize different human actions and behaviors, for example, fall detection or classification of movements. However, very little is known about the number of sensors that are needed to achieve an ...
- research-articleJuly 2022
Performance Comparison of E-Textile Electrode Properties in a Capacitive Proximity Sensing Setting
PETRA '22: Proceedings of the 15th International Conference on PErvasive Technologies Related to Assistive EnvironmentsJune 2022, Pages 17–23https://doi.org/10.1145/3529190.3529215New sensing capabilities are rendered possible by using materials with new capabilities. Such materials as e-textiles are especially well suited to be integrated into the sensing technology embedding materials. Thus, e-textiles are predetermined to be ...
- research-articleApril 2022
Self-restrained triplet loss for accurate masked face recognition
Highlights- A solution to improve masked face verification performance.
- A novel loss ...
Using the face as a biometric identity trait is motivated by the contactless nature of the capture process and the high accuracy of the recognition algorithms. After the current COVID-19 pandemic, wearing a face mask has been imposed ...
- research-articleMarch 2022
Real masks and spoof faces: On the masked face presentation attack detection
Highlights- A new Collaborative Real Mask Attack Database consisting of novel masked attacks.
Face masks have become one of the main methods for reducing the transmission of COVID-19. This makes face recognition (FR) a challenging task because masks hide several discriminative features of faces. Moreover, face presentation ...
- research-articleJanuary 2022
The overlapping effect and fusion protocols of data augmentation techniques in iris PAD
Machine Vision and Applications (MVAA), Volume 33, Issue 1Jan 2022https://doi.org/10.1007/s00138-021-01256-9AbstractIris Presentation Attack Detection (PAD) algorithms address the vulnerability of iris recognition systems to presentation attacks. With the great success of deep learning methods in various computer vision fields, neural network-based iris PAD ...
- research-articleDecember 2021
Partial Attack Supervision and Regional Weighted Inference for Masked Face Presentation Attack Detection
2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)Dec 2021, Pages 1–8https://doi.org/10.1109/FG52635.2021.9667051Wearing a mask has proven to be one of the most effective ways to prevent the transmission of SARS-Co V-2 coronavirus. However, wearing a mask poses challenges for different face recognition tasks and raises concerns about the performance of masked face ...
- research-articleNovember 2021
A Graphical Social Topology Model for RGB-D Multi-Person Tracking
IEEE Transactions on Circuits and Systems for Video Technology (IEEETCSVT), Volume 31, Issue 11Nov. 2021, Pages 4305–4320https://doi.org/10.1109/TCSVT.2021.3049397Tracking multiple persons is a challenging task especially when persons move in groups and occlude one another. Existing research have investigated the problems of group division and segmentation; however, lacking overall person-group topology modeling ...
- ArticleOctober 2021
PW-MAD: Pixel-Wise Supervision for Generalized Face Morphing Attack Detection
AbstractA face morphing attack image can be verified to multiple identities, making this attack a major vulnerability to processes based on identity verification, such as border checks. Various methods have been proposed to detect face morphing attacks, ...
- ArticleOctober 2021
ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation
- Naser Damer,
- Kiran Raja,
- Marius Süßmilch,
- Sushma Venkatesh,
- Fadi Boutros,
- Meiling Fang,
- Florian Kirchbuchner,
- Raghavendra Ramachandra,
- Arjan Kuijper
AbstractFace morphing attacks aim at creating face images that are verifiable to be the face of multiple identities, which can lead to building faulty identity links in operations like border checks. While creating a morphed face detector (MFD), training ...
- research-articleAugust 2021
MiDeCon: Unsupervised and Accurate Fingerprint and Minutia Quality Assessment based on Minutia Detection Confidence
2021 IEEE International Joint Conference on Biometrics (IJCB)Aug 2021, Pages 1–8https://doi.org/10.1109/IJCB52358.2021.9484404An essential factor to achieve high accuracies in finger-print recognition systems is the quality of its samples. Previous works mainly proposed supervised solutions based on image properties that neglects the minutiae extraction process, despite that ...
- research-articleAugust 2021
MixFaceNets: Extremely Efficient Face Recognition Networks
2021 IEEE International Joint Conference on Biometrics (IJCB)Aug 2021, Pages 1–8https://doi.org/10.1109/IJCB52358.2021.9484374In this paper, we present a set of extremely efficient and high throughput models for accurate face verification, Mix-FaceNets which are inspired by Mixed Depthwise Convolutional Kernels. Extensive experiment evaluations on Label Face in the Wild (LFW), ...
- research-articleAugust 2021
Face Liveness Detection Competition (LivDet-Face) - 2021
- Sandip Purnapatra,
- Nic Smalt,
- Keivan Bahmani,
- Priyanka Das,
- David Yambay,
- Amir Mohammadi,
- Anjith George,
- Thirimachos Bourlai,
- Sébastien Marcel,
- Stephanie Schuckers,
- Meiling Fang,
- Naser Damer,
- Fadi Boutros,
- Arjan Kuijper,
- Alperen Kantarci,
- Başar Demir,
- Zafer Yildiz,
- Zabi Ghafoory,
- Hasan Dertli,
- Hazım Kemal Ekenel,
- Son Vu,
- Vassilis Christophides,
- Liang Dashuang,
- Zhang Guanghao,
- Hao Zhanlong,
- Liu Junfu,
- Jin Yufeng,
- Samo Liu,
- Samuel Huang,
- Salieri Kuei,
- Jag Mohan Singh,
- Raghavendra Ramachandra
2021 IEEE International Joint Conference on Biometrics (IJCB)Aug 2021, Pages 1–10https://doi.org/10.1109/IJCB52358.2021.9484359Liveness Detection (LivDet)-Face is an international competition series open to academia and industry. The competition’s objective is to assess and report state-of-the-art in liveness / Presentation Attack Detection (PAD) for face recognition. ...
- research-articleAugust 2021
Iris Presentation Attack Detection by Attention-based and Deep Pixel-wise Binary Supervision Network
2021 IEEE International Joint Conference on Biometrics (IJCB)Aug 2021, Pages 1–8https://doi.org/10.1109/IJCB52358.2021.9484343Iris presentation attack detection (PAD) plays a vital role in iris recognition systems. Most existing CNN-based iris PAD solutions 1) perform only binary label supervision during the training of CNNs, serving global information learning but weakening the ...