Ingo Bax
Impact in
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- Human Pose and Action Recognition
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Video Analysis and Summarization
- Human-Computer Interaction top 2%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 3
- Multimodal Machine Learning Applications 2
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- Advanced Text Analysis Techniques 1
- Semantic Web and Ontologies 1
- Neural Networks and Applications 1
- Co-authors
- Joanna Materzyńska (2 shared papers)Roland Memisevic (3 shared papers)Christian Thurau (1 shared paper)Heuna Kim (1 shared paper)Ingo Fruend (1 shared paper)Raghav Goyal (2 shared papers)Vincent Michalski (1 shared paper)Samira Ebrahimi Kahou (1 shared paper)
- Journals
- Machine Vision and Applications (1 paper)Pattern Recognition and Image Analysis (1 paper)International Conference on Learning Representations (1 paper)Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (1 paper)PUB – Publications at Bielefeld University (Bielefeld University) (1 paper)
In The Last Decade
Ingo Bax
6 papers receiving 953 citations
Ingo Bax's Hit Papers
Peers
Comparison fields: 5 of 69
- Computer Vision and Pattern Recognition 880
- Human-Computer Interaction 182
- Artificial Intelligence 490
- Biomedical Engineering 197
- Endocrinology, Diabetes and Metabolism 49
Countries citing papers authored by Ingo Bax
This map shows the geographic impact of Ingo Bax's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ingo Bax with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ingo Bax more than expected).
Fields of papers citing papers by Ingo Bax
This network shows the impact of papers produced by Ingo Bax. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ingo Bax. The network helps show where Ingo Bax may publish in the future.
Co-authors
The 13 scholars most cited alongside Ingo Bax, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | The “Something Something” Video Database for Learning and Evaluating Visual Common Sense Hit paper breakdown → | 2017 | 772 |
| 2 | 2019 | 155 | |
| 3 | 2004 | 34 | |
| 4 | 2004 | 16 | |
| 5 | 2007 | 7 | |
| 6 | 2010 | 1 | |
| 7 | Using Non-negative Sparse Profiles in a Hierarchical Feature Extraction Network | 2005 | 0 |
| 8 | Evaluating visual "common sense" using fine-grained classification and captioning tasks. | 2018 | 0 |
| 9 | 2005 | 0 |
About Ingo Bax
Ingo Bax is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Cognitive Neuroscience and Electrical and Electronic Engineering, having authored 9 papers that have together received 985 indexed citations. Recurring topics across this work include Hand Gesture Recognition Systems (3 papers), Human Pose and Action Recognition (3 papers), Multimodal Machine Learning Applications (2 papers), Advanced Text Analysis Techniques (1 paper), Semantic Web and Ontologies (1 paper), Gaze Tracking and Assistive Technology (1 paper), Image Processing Techniques and Applications (1 paper) and Neural Networks and Applications (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (880 citations), Human-Computer Interaction (182 citations), Artificial Intelligence (490 citations), Biomedical Engineering (197 citations) and Endocrinology, Diabetes and Metabolism (49 citations). Ingo Bax has collaborated with scholars based in Germany, Iran and Canada. Frequent co-authors include Joanna Materzyńska, Roland Memisevic, Christian Thurau, Heuna Kim, Ingo Fruend, Raghav Goyal, Vincent Michalski, Samira Ebrahimi Kahou, P.N. Yianilos and Florian Hoppe. Their work appears in journals such as Machine Vision and Applications, Pattern Recognition and Image Analysis, International Conference on Learning Representations, Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE and PUB – Publications at Bielefeld University (Bielefeld University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.