Rene Grzeszick

发表

Optimistic and pessimistic neural networks for object recognition

Gernot A. Fink, Sebastian Sudholt, Rene Grzeszick, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Object classication using Spatial Visual Words

Gernot A. Fink, Leonard Rothacker, Rene Grzeszick, 2014 .

Statistical Modeling of the Relation between Characters and Diacritics in Lampung Script

Gernot A. Fink, Szilárd Vajda, Rene Grzeszick, 2013, 2013 12th International Conference on Document Analysis and Recognition.

Semi-supervised learning for character recognition in historical archive documents

Gernot A. Fink, Szilárd Vajda, Jan Richarz, 2014, Pattern Recognit..

Recognizing Scene Categories of Historical Postcards

Gernot A. Fink, Rene Grzeszick, G. Fink, 2014, GCPR.

Weakly-supervised localization of diabetic retinopathy lesions in retinal fundus images

Gernot A. Fink, Michael Hirsch, Rene Grzeszick, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Optimistic and Pessimistic Neural Networks for Scene and Object Recognition pdf

Gernot A. Fink, Sebastian Sudholt, Rene Grzeszick, 2016, ArXiv.

Grouping Historical Postcards Using Query-by-Example Word Spotting

Gernot A. Fink, Leonard Rothacker, Rene Grzeszick, 2014, 2014 14th International Conference on Frontiers in Handwriting Recognition.

Toward object recognition with Proto-objects and Proto-scenes

Gernot A. Fink, Rene Grzeszick, Fabian Nasse, 2015, 2014 International Conference on Computer Vision Theory and Applications (VISAPP).

A Bag-of-Features approach to acoustic event detection

Gernot A. Fink, Axel Plinge, Rene Grzeszick, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Influence of Superpixel Methods for Image Parsing

Gernot A. Fink, Leonard Rothacker, Rene Grzeszick, 2015, VISAPP.

Zero-shot object prediction and context modeling using semantic scene knowledge pdf

Gernot A. Fink, Rene Grzeszick, G. Fink, 2016, ArXiv.

Bag-of-Features Methods for Acoustic Event Detection and Classification

Gernot A. Fink, Axel Plinge, Rene Grzeszick, 2017, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Unsupervised Learning of Scene Categories on the Lunar Surface

Gernot A. Fink, Christian Wöhler, Rene Grzeszick, 2019, VISIGRAPP.

Temporal Acoustic Words for Online Acoustic Event Detection

Gernot A. Fink, Axel Plinge, Rene Grzeszick, 2015, GCPR.

Neuron Pruning for Compressing Deep Networks Using Maxout Architectures

Gernot A. Fink, Rene Grzeszick, Fernando Moya Rueda, 2017, GCPR.

Deep Neural Network based Human Activity Recognition for the Order Picking Process

Gernot A. Fink, Michael ten Hompel, Rene Grzeszick, 2017, iWOAR.

From Weakly Supervised Object Localization to Semantic Segmentation by Probabilistic Image Modeling

Gernot A. Fink, Christian Wöhler, Rene Grzeszick, 2017, 2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA).

Weakly Supervised Object Detection with Pointwise Mutual Information pdf

Gernot A. Fink, Sebastian Sudholt, Rene Grzeszick, 2018, ArXiv.

An Iterative Partitioning-Based Method for Semi-Supervised Annotation Learning in Image Collections

Gernot A. Fink, Rene Grzeszick, G. Fink, 2016, Int. J. Pattern Recognit. Artif. Intell..

Bag-of-features representations using spatial visual vocabularies for object classification

Gernot A. Fink, Leonard Rothacker, Rene Grzeszick, 2013, 2013 IEEE International Conference on Image Processing.

Camera-assisted Pick-by-feel

Gernot A. Fink, Michael ten Hompel, Rene Grzeszick, 2016 .

Zero-shot Object Prediction using Semantic Scene Knowledge

Gernot A. Fink, Rene Grzeszick, G. Fink, 2016, VISIGRAPP.

BAG-OF-FEATURES ACOUSTIC EVENT DETECTION FOR SENSOR NETWORKS

Gernot A. Fink, Axel Plinge, Rene Grzeszick, 2016 .