The" something something" video database for learning and evaluating visual common sense R Goyal, S Ebrahimi Kahou, V Michalski, J Materzynska, S Westphal, ... Proceedings of the IEEE international conference on computer vision, 5842-5850, 2017 | 1622 | 2017 |
The jester dataset: A large-scale video dataset of human gestures J Materzynska, G Berger, I Bax, R Memisevic Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 278 | 2019 |
Multimodal interaction in an augmented reality scenario G Heidemann, I Bax, H Bekel Proceedings of the 6th international conference on Multimodal interfaces, 53-60, 2004 | 101 | 2004 |
Adaptive computer vision: Online learning for object recognition H Bekel, I Bax, G Heidemann, H Ritter Pattern Recognition: 26th DAGM Symposium, Tübingen, Germany, August 30 …, 2004 | 49 | 2004 |
Integrating context-free and context-dependent attentional mechanisms for gestural object reference G Heidemann, R Rae, H Bekel, I Bax, H Ritter Computer Vision Systems: Third International Conference, ICVS 2003, Graz …, 2003 | 35 | 2003 |
Integrating context-free and context-dependent attentional mechanisms for gestural object reference G Heidemann, R Rae, H Bekel, I Bax, H Ritter Machine Vision and Applications 16, 64-73, 2004 | 30 | 2004 |
Interactive online learning G Heidemann, H Bekel, I Bax, H Ritter Pattern recognition and image analysis 15 (1), 55-58, 2005 | 22 | 2005 |
Hand gesture recognition: self-organising maps as a graphical user interface for the partitioning of large training data sets G Heidemann, H Bekel, I Bax, A Saalbach Proceedings of the 17th International Conference on Pattern Recognition …, 2004 | 17 | 2004 |
Interactive online learning G Heidemann, H Bekel, I Bax, H Ritter Pattern Recognition and Image Analysis 17, 146-152, 2007 | 5 | 2007 |
Face detection and identification using a hierarchical feed-forward recognition architecture I Bax, G Heidemann, H Ritter Proceedings. 2005 IEEE International Joint Conference on Neural Networks …, 2005 | 4 | 2005 |
Hierarchical feed-forward network for object detection tasks I Bax, G Heidemann, H Ritter Optical Engineering 45 (6), 067203-067203-10, 2006 | 3 | 2006 |
A hierarchical feed-forward network for object detection tasks I Bax, G Heidemann, H Ritter Independent Component Analyses, Wavelets, Unsupervised Smart Sensors, and …, 2005 | 3 | 2005 |
Recognition of gestural object reference with auditory feedback I Bax, H Bekel, G Heidemann International Conference on Artificial Neural Networks, 425-432, 2003 | 3 | 2003 |
Is end-to-end learning enough for fitness activity recognition? A Mercier, G Berger, S Panchal, F Letsch, C Boehm, N Kang, I Bax, ... arXiv preprint arXiv:2305.08191, 2023 | 2 | 2023 |
Evaluating visual" common sense" using fine-grained classification and captioning tasks R Goyal, F Mahdisoltani, G Berger, W Gharbieh, I Bax, R Memisevic | 2 | 2018 |
Using Non-negative Sparse Profiles in a Hierarchical Feature Extraction Network. I Bax, G Heidemann, HJ Ritter MVA, 464-467, 2005 | 2 | 2005 |
Tagmantic: A social recommender service based on semantic tag graphs and tag clusters J Moldvay, I Bax, A Frerichs, M Schuh Proceedings of the fourth ACM conference on Recommender systems, 345-346, 2010 | 1 | 2010 |
Data-Driven Ontologies for Recommender Engines in Social Networks I Bax, J Moldvay Proceedings 1st Int'l Workshop on Mining Social Media, Sevilla, Spain, 101-111, 2009 | 1 | 2009 |
AirLetters: An Open Video Dataset of Characters Drawn in the Air R Dagli, G Berger, J Materzynska, I Bax, R Memisevic arXiv preprint arXiv:2410.02921, 2024 | | 2024 |
Live Fitness Coaching as a Testbed for Situated Interaction S Panchal, A Bhattacharyya, G Berger, A Mercier, C Bohm, F Dietrichkeit, ... arXiv preprint arXiv:2407.08101, 2024 | | 2024 |