Showing results 31 to 50 of 50
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| Issue Date | Title | Author(s) |
| 2012 | Learning a visual attention model for adaptive fast-forward in video surveillance | Ḧoferlin, B.; Pfl̈uger, H.; Ḧoferlin, M.; Heidemann, G. ; Weiskopf, D. |
| 2020 | New Interactive Methods for Image Registration with Applications in Repeat Photography | Schaffland, A.; Bui, T.H.; Vornberger, O. ; Heidemann, G. |
| 2018 | Object of Interest Segmentation in Video Sequences with Gaze Data | Krieger, L.; Heidemann, G. ; Schöning, J. |
| 2023 | Opening theBlack Box: Analyzing Attention Weights andHidden States inPre-trained Language Models forNon-language Tasks | Ballout, Mohamad; Krumnack, Ulf ; Heidemann, Gunther ; Kühnberger, Kai-Uwe |
| 2016 | Pixel-wise ground truth annotation in videos: An semi-automatic approach for pixel-wise and semantic object annotation | Schöning, J. ; Faion, P.; Heidemann, G. |
| 2017 | Providing video annotations in multimedia containers for visualization and research | Schoning, J. ; Faion, P.; Heidemann, G. ; Krumnack, U. |
| 2017 | Quasi view-independent human motion recognition in subspaces | Tanisaro, P.; Mahner, F.; Heidemann, G. |
| 2012 | Redundant dictionary spaces as a general concept for the analysis of non-vectorial data | Klenk, S.; Dippon, J.; Burkovski, A.; Heidemann, G. |
| 2015 | Scalable video visual analytics | Hoeferlin, Benjamin; Hoeferlin, Markus; Heidemann, Gunther ; Weiskopf, Daniel |
| 2015 | Semi-automatic ground truth annotation in videos: An interactive tool for polygon-based object annotation and segmentation | Schöning, J. ; Faion, P.; Heidemann, G. |
| 2013 | Semi-automatic image annotation | Moehrmann, J.; Heidemann, G. |
| 2012 | State of the Art Report on Video-Based Graphics and Video Visualization | Borgo, R.; Chen, M.; Daubney, B.; Grundy, E.; Heidemann, G. ; Hoeferlin, B.; Hoeferlin, M.; Leitte, H.; Weiskopf, D.; Xie, X. |
| 2017 | Structure from motion by artificial neural networks | Schöning, J. ; Behrens, T.; Faion, P.; Kheiri, P.; Heidemann, G. ; Krumnack, U. |
| 2016 | Taxonomy of 3D sensors A Survey of State-of-the-Art Consumer 3D-Reconstruction Sensors and Their Field of Applications | Schöning, Julius ; Heidemann, Gunther |
| 2017 | Time series classification using time warping invariant Echo State Networks | Tanisaro, P.; Heidemann, G. |
| 2017 | Ventral Stream-Inspired Process for Deriving 3D Models from Video Sequences | Schöning, J. ; Heidemann, G. |
| 2015 | Visual analytics for video applications | Tanisaro, Pattreeya; Schoening, Julius ; Kurzhals, Kuno; Heidemann, Gunther ; Weiskopf, Daniel |
| 2017 | Visual Analytics of Gaze Data with Standard Multimedia Players | Schoening, Julius ; Gundler, Christopher ; Heidemann, Gunther ; Koenig, Peter ; Krumnack, Ulf |
| 2016 | Visual Development & analysis of coreference resolution systems with CORVIDAE | Möller, N.; Heidemann, G. |
| 2019 | Visual video analytics for interactive video content analysis | Schöning, J. ; Heidemann, G. |
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