Institut für Kognitionswissenschaft

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Organization name
Institut für Kognitionswissenschaft
Parent OrgUnit
City
Osnabrück
Country
Germany

OrgUnit's Researchers publications
(Veröffentlichung der Organisationseinheit)


Aktive Filter:
Person:  Heidemann, Gunther

1-20 von 50

ErscheinungsdatumTitelAutor(en)
12019A very concise feature representation for time series classification understandingTanisaro, P.; Heidemann, G. 
22018An empirical study on bidirectional recurrent neural networks for human motion recognitionTanisaro, P.; Heidemann, G. 
32022An Image Based Object Recognition System for Wound Detection and Classification of Diabetic Foot and Venous Leg UlcersHüsers, J.; Moelleken, M.; Richter, M.L.; Przysucha, M.; Malihi, L.; Busch, D.; Götz, N.-A.; Heggemann, J.; Hafer, G.; Wiemeyer, S.; Babitsch, B. ; Heidemann, G. ; Dissemond, J.; Erfurt-Berge, C.; Hübner, U.
42019An interactive web application for the creation, organization, and visualization of repeat photographsSchaffland, A.; Vornberger, O. ; Heidemann, G. 
52022Automatic Wound Type Classification with Convolutional Neural NetworksMalihi, L.; Hüsers, J.; Richter, M.L.; Moelleken, M.; Przysucha, M.; Busch, D.; Heggemann, J.; Hafer, G.; Wiemeyer, S.; Heidemann, G. ; Dissemond, J.; Erfurt-Berge, C.; Hübner, U.
62017Bio-inspired architecture for deriving 3D models from video sequencesSchöning, J. ; Heidemann, G. 
72023Can Synthetic Images Improve CNN Performance in Wound Image Classification?Malihi, Leila; Hübner, Ursula; Richter, Mats L.; Moelleken, Maurice; Przysucha, Mareike; Busch, Dorothee; Heggemann, Jan; Hafer, Guido; Wiemeyer, Stefan; Heidemann, Gunther ; Dissemond, Joachim; Erfurt-Berge, Cornelia; Barkhau, Carlotta; Hendriks, Achim; Hüsers, Jens
82017Classifying bio-inspired model of point-light human motion using Echo State networksTanisaro, P.; Lehman, C.; Sütfeld, L.; Pipa, G. ; Heidemann, G. 
92017Content-aware 3D reconstruction with gaze dataSchoning, J. ; Jiang, X.; Menon, C.; Heidemann, G. 
102016CORVIDAE: Coreference resolution visual development & analysis environmentMöller, N.; Heidemann, G. 
112019Dimensionality Reduction for Visualization of Time Series and TrajectoriesTanisaro, P.; Heidemann, G. 
122023Efficient and Controllable Model Compression through Sequential Knowledge Distillation and PruningMalihi, Leila; Heidemann, Gunther 
132012Efficient annotation of image data sets for computer vision applicationsMoehrmann, J.; Heidemann, G. 
142013Efficient development of user-defined image recognition systemsMoehrmann, J.; Heidemann, G. 
152021Embedding semantic relationships in hidden representations via label smoothingMarino, Michael; Nieters, Pascal ; Heidemann, Gunther ; Hertzberg, Joachim 
162012Evaluation of Fast-Forward Video VisualizationHoeferlin, Markus; Kurzhals, Kuno; Hoeferlin, Benjamin; Heidemann, Gunther ; Weiskopf, Daniel
172015Evaluation of multi-view 3D reconstruction softwareSchöning, J. ; Heidemann, G. 
182017Exploratory multimodal data analysis with standard multimedia player multimedia containers: A feasible solution to make multimodal research data accessible to the broad audienceSchöning, J. ; Gert, A.L.; Acik, A. ; Kietzmann, T.C.; Heidemann, G. ; König, P. 
192017Eye tracking data in multimedia containers for instantaneous visualizationsSchöning, J. ; Faion, P.; Heidemann, G. ; Krumnack, U. 
202015FOREST: A flexible object recognition systemMoehrmann, J.; Heidemann, G.