mlsanityData to 7 Oct 2026

GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection

arXiv 2201.07692 ↗First posted 19 Jan 2022cs.CVcited by 2

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Abstract (arXiv)

In this paper we present GroupGaze. It is a tool that can be used to calculate the gaze direction and the gaze position of whole groups. GroupGazer calculates the gaze direction of every single person in the image and allows to map these gaze vectors to a projection like a projector. In addition to the person-specific gaze direction, the person affiliation of each gaze vector is stored based on the position in the image. Also, it is possible to save the group attention after a calibration. The software is free to use and requires a simple webcam as well as an NVIDIA GPU and the operating system Windows or Linux. Link: https://es-cloud.cs.uni-tuebingen.de/d/8e2ab8c3fdd444e1a135/?p=%2FGroupGazer&mode=list

Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 36 of its 125 references that are in the map. First posted on arXiv 19 Jan 2022.

Builds on

36 of 125 references.

References · 36

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
  2. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  3. 2015You Only Look Once: Unified, Real-Time Object Detectioncited by 4,829
  4. 2018MobileNetV2: Inverted Residuals and Linear Bottleneckscited by 4,773
  5. 2017MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applicationscited by 3,827
  6. 2015SSD: Single Shot MultiBox Detectorcited by 3,125
  7. 2015Fast R-CNNcited by 2,930
  8. 2013Rich feature hierarchies for accurate object detection and semantic segmentationcited by 2,160
  9. 2016Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networkscited by 895
  10. 2019Gaze360: Physically Unconstrained Gaze Estimation in the Wildcited by 173
  11. 2016Eye Tracking for Everyonecited by 155
  12. 2015Appearance-Based Gaze Estimation in the Wildcited by 153
24 more
  1. 2016Face Detection with the Faster R-CNNcited by 34
  2. 2021TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Typescited by 32
  3. 2016PupilNet: Convolutional Neural Networks for Robust Pupil Detectioncited by 20
  4. 2015ElSe: Ellipse Selection for Robust Pupil Detection in Real-World Environmentscited by 16
  5. 2015Max-Margin Object Detectioncited by 15
  6. 2017PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detectioncited by 15
  7. 2019PyramidBox++: High Performance Detector for Finding Tiny Facecited by 13
  8. 2020Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstructioncited by 12
  9. 2020Rotated Ring, Radial and Depth Wise Separable Radial Convolutionscited by 12
  10. 2018Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization toolscited by 11
  11. 2019Learning to Validate the Quality of Detected Landmarkscited by 11
  12. 2020Weight and Gradient Centralization in Deep Neural Networkscited by 11
  13. 2017Fast camera focus estimation for gaze-based focus controlcited by 10
  14. 2018Eye movement simulation and detector creation to reduce laborious parameter adjustmentscited by 10
  15. 2019Training Decision Trees as Replacement for Convolution Layerscited by 10
  16. 2021The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applicationscited by 10
  17. 2018Robust Face Detection via Learning Small Faces on Hard Imagescited by 9
  18. 2020Multi Layer Neural Networks as Replacement for Pooling Operationscited by 8
  19. 2020Explainable Online Validation of Machine Learning Models for Practical Applicationscited by 8
  20. 2021A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysiscited by 7
  21. 20211000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learningcited by 7
  22. 2021Maximum and Leaky Maximum Propagationcited by 4
  23. 2021Tensor Normalization and Full Distribution Trainingcited by 3
  24. 2019A Deep, Information-theoretic Framework for Robust Biometric Recognitioncited by 1

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Cited by year

Citing papers per year: 2022: 1; 2023: 1.

2 papers.

  1. 2023One step closer to EEG based eye trackingcited by 3
  2. 2022Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnetscited by 0