--- title: "Jan Kautz — author profile and papers — Elamur Research" description: "Jan Kautz, Nvidia: 2 papers on Elamur Research (2023–2024), h-index 91 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/jan-kautz/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/jan-kautz/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Jan Kautz # Jan Kautz Jan Kautz has 2 papers in our library, in 2023–2024, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Vision & language](https://md.research.elamur.ai/free/en/topics/multimodal/); often with [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/), [Andrew Tao](https://md.research.elamur.ai/free/en/authors/andrew-tao/), [Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/). 2 papers in our library · 2023–2024 [OpenAlex](https://openalex.org/A5056503617) · [ORCID](https://orcid.org/0000-0002-8830-429X) · [Wikidata](https://www.wikidata.org/wiki/Q112487076) · [**h-index 91**](https://openalex.org/authors/A5056503617) · [443 works](https://openalex.org/works?filter=author.id:A5056503617) · [44,590 citations](https://openalex.org/works?filter=author.id:A5056503617&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/jan-kautz/#papers) · [🔗 Cited 934 times in our library](https://md.research.elamur.ai/free/en/authors/jan-kautz/cited-by/) · [34 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #4178](https://md.research.elamur.ai/free/en/paper-stars/page/42/#star-4178) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Jan+Kautz) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Jan+Kautz) · [dblp](https://dblp.org/search?q=Jan+Kautz) · [ACL Anthology](https://aclanthology.org/search/?q=Jan+Kautz) ## Affiliations [🏢**Nvidia** Santa Clara · United States 2013–2026 · 199 papersEmployment since 2013*current*](https://md.research.elamur.ai/free/en/companies/nvidia/) · [🏢**Nvidia** Reading · United Kingdom 2014–2026 · 149 papers*current*](https://md.research.elamur.ai/free/en/companies/nvidia-united-kingdom/) · [🎓**University College London** London · United Kingdom 2006–2015 · 91 papersEmployment](https://md.research.elamur.ai/free/en/universities/university-college-london/) · [🔬**Max Planck Institute for Informatics** Saarbrücken · Germany 2000–2023 · 44 papersEducation](https://md.research.elamur.ai/free/en/labs/max-planck-institute-for-informatics/) · [🔬**Max Planck Society** Munich · Germany 2000–2011 · 22 papers](https://md.research.elamur.ai/free/en/labs/max-planck-society/) · [🎓**Massachusetts Institute of Technology** Cambridge · United States 2003–2024 · 14 papers](https://md.research.elamur.ai/free/en/universities/massachusetts-institute-of-technology/) · [🎓**Georgia Institute of Technology** Atlanta · United States 2017–2025 · 4 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/) · [🔬**MIT Computer Science and Artificial Intelligence Laboratory** Cambridge · United States 2003–2024 · 4 papers](https://md.research.elamur.ai/free/en/labs/mit-computer-science-and-artificial-intelligence-laboratory/) · [🎓**Carnegie Mellon University** Pittsburgh · United States 2016–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/carnegie-mellon-university/) · [🎓**University of Maryland, College Park** College Park · United States 2024–2026 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-maryland-college-park/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 14 more institutions on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) 🧭 Topics 2 Research subjects and languages the work is about.[Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/) ## Works by year ### 2020s [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/jan-kautz/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/jan-kautz/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[VILA: On Pre-training for Visual Language Models](https://md.research.elamur.ai/free/en/papers/lin-2023-vila-pre-training-visual-language/)** *(2023 · 381 citations)* Most work on visual language models (VLMs) has focused on instruction tuning. The pre-training stage, where an LLM first learns to handle images and text together, has received far less systematic study. This paper addresses that gap. Starting from Llama-2, the authors build auto-regressive VLMs, in which image… 2. **[Hymba: A Hybrid-head Architecture for Small Language Models](https://md.research.elamur.ai/free/en/papers/dong-2024-hymba-hybrid-head-architecture-small/)** *(2024 · 50 citations)* Small language models must balance accuracy against memory and speed. Transformers recall context well, but their compute cost and KV cache grow quickly with sequence length. State space models such as Mamba run cheaply but recall poorly. Earlier hybrids stacked the two layer types one after another, so a weak layer… ## All works 36 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Importance Estimation for Neural Network Pruning ↗](https://doi.org/10.1109/cvpr.2019.01152) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pavlo A. Molchanov et al.*2019 · 1,023 citations* 2. **[Joint Discriminative and Generative Learning for Person Re-Identification ↗](https://doi.org/10.1109/cvpr.2019.00224) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhedong Zheng et al.*2019 · 864 citations* 3. **[Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2016.456) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Pavlo A. Molchanov et al.*2016 · 697 citations* 4. **[Few-Shot Unsupervised Image-to-Image Translation ↗](https://doi.org/10.1109/iccv.2019.01065) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ming-Yu Liu et al.*2019 · 653 citations* 5. **[GroupViT: Semantic Segmentation Emerges from Text Supervision ↗](https://doi.org/10.1109/cvpr52688.2022.01760) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jiarui Xu et al.*2022 · 483 citations* 6. **[NVAE: A Deep Hierarchical Variational Autoencoder ↗](https://openalex.org/W3098510582) neural information processing systems · no summary yet**Arash Vahdat, Jan Kautz*2020 · 388 citations* 7. **[VILA: On Pre-training for Visual Language Models](https://md.research.elamur.ai/free/en/papers/lin-2023-vila-pre-training-visual-language/) [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/)**Ji Lin, Hongxu Yin, Wei Ping, et al.*2023 · 381 citations* 8. **[A-ViT: Adaptive Tokens for Efficient Vision Transformer ↗](https://doi.org/10.1109/cvpr52688.2022.01054) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hongxu Yin et al.*2022 · 361 citations* 9. **[FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects ↗](https://doi.org/10.1109/cvpr52733.2024.01692) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Bowen Wen et al.*2024 · 357 citations* 10. **[Pixel-Adaptive Convolutional Neural Networks ↗](https://doi.org/10.1109/cvpr.2019.01142) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Hang Su et al.*2019 · 331 citations* 11. **[Learning Linear Transformations for Fast Image and Video Style Transfer ↗](https://doi.org/10.1109/cvpr.2019.00393) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Xueting Li et al.*2019 · 303 citations* 12. **[PlaneRCNN: 3D Plane Detection and Reconstruction From a Single Image ↗](https://doi.org/10.1109/cvpr.2019.00458) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chen Liu et al.*2019 · 245 citations* 13. **[PhysDiff: Physics-Guided Human Motion Diffusion Model ↗](https://doi.org/10.1109/iccv51070.2023.01467) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ye Yuan et al.*2023 · 243 citations* 14. **[Few-Shot Adaptive Gaze Estimation ↗](https://doi.org/10.1109/iccv.2019.00946) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Seonwook Park et al.*2019 · 218 citations* 15. **[Extreme View Synthesis ↗](https://doi.org/10.1109/iccv.2019.00787) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Inchang Choi et al.*2019 · 188 citations* 16. **[Polarimetric Multi-view Stereo ↗](https://doi.org/10.1109/cvpr.2017.47) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhaopeng Cui et al.*2017 · 138 citations* 17. **[Dynamic Facial Analysis: From Bayesian Filtering to Recurrent Neural Network ↗](https://doi.org/10.1109/cvpr.2017.167) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jinwei Gu et al.*2017 · 126 citations* 18. **[GR00T N1: An Open Foundation Model for Generalist Humanoid Robots ↗](https://arxiv.org/abs/2503.14734) arXiv:2503.14734 · no summary yet**NVIDIA et al.*2025 · 123 citations* 19. **[Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification ↗](https://doi.org/10.1145/2964284.2964297) ACM International Conference on Multimedia (ACM MM) · no summary yet**Xiaodong Yang, Pavlo A. Molchanov, Jan Kautz*2016 · 116 citations* 20. **[NVILA: Efficient Frontier Visual Language Models ↗](https://doi.org/10.1109/cvpr52734.2025.00390) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhijian Liu et al.*2025 · 73 citations* 21. **[Accelerated Generative Models for 3D Point Cloud Data ↗](https://doi.org/10.1109/cvpr.2016.593) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ben Eckart et al.*2016 · 72 citations* 22. **[An Empirical Study of Mamba-based Language Models ↗](https://arxiv.org/abs/2406.07887) arXiv:2406.07887 · no summary yet**Roger Waleffe et al.*2024 · 67 citations* 23. **[ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models ↗](https://arxiv.org/abs/2505.24864) arXiv:2505.24864 · no summary yet**Mingjie Liu et al.*2025 · 58 citations* 24. [**Hymba: A Hybrid-head Architecture for Small Language Models arXiv:2411.13676**Xin Dong, Yonggan Fu, Shizhe Diao, et al.*2024 · 50 citations*](https://md.research.elamur.ai/free/en/papers/dong-2024-hymba-hybrid-head-architecture-small/) 25. **[LongVILA: Scaling Long-Context Visual Language Models for Long Videos ↗](https://arxiv.org/abs/2408.10188) arXiv:2408.10188 · no summary yet**Yukang Chen et al.*2024 · 49 citations* [See all 36 works by Jan Kautz →](https://md.research.elamur.ai/free/en/authors/jan-kautz/works/) ## Co-authors here 12 co-authors with a page, the most papers together first. - [Ameya Sunil Mahabaleshwarkar](https://md.research.elamur.ai/free/en/authors/ameya-sunil-mahabaleshwarkar/) - [Andrew Tao](https://md.research.elamur.ai/free/en/authors/andrew-tao/) - [Mohammad Shoeybi](https://md.research.elamur.ai/free/en/authors/mohammad-shoeybi/) - [Shizhe Diao](https://md.research.elamur.ai/free/en/authors/shizhe-diao/) - [Song Han](https://md.research.elamur.ai/free/en/authors/song-han/) - [Wei Ping](https://md.research.elamur.ai/free/en/authors/wei-ping/) - [Xin Dong](https://md.research.elamur.ai/free/en/authors/xin-dong/) - [Yao Lu](https://md.research.elamur.ai/free/en/authors/yao-lu/) - [Yingyan Celine Lin](https://md.research.elamur.ai/free/en/authors/yingyan-celine-lin/) - [Yonggan Fu](https://md.research.elamur.ai/free/en/authors/yonggan-fu/) - [Yoshi Suhara](https://md.research.elamur.ai/free/en/authors/yoshi-suhara/) - [Zijia Chen](https://md.research.elamur.ai/free/en/authors/zijia-chen/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings ×14 - IEEE/CVF International Conference on Computer Vision (ICCV) ×4 - [IEEE Computer Society Conference on Computer Vision and Pattern Recognition](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/): [IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2023](https://md.research.elamur.ai/free/en/venues/ieee-computer-society-conference-on-computer-vision-and-pattern-recognition/2023/) - ACM International Conference on Multimedia (ACM MM) - Proceedings of the Fourth Workshop on Neural Generation and Translation - neural information processing systems ## Cited by Papers of our library cite their works 934 times (of the 149,439 papers whose bibliographies we read); [102 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/jan-kautz/cited-by/). Updated 1 November 2026