Jan Kautz

41.4k citations

234 papers · 17.2k indexed · 18 hit papers · h-index 61

Impact in

Computer Graphics and Computer-Aided Design top 0.02%
- Computer Graphics and Visualization Techniques
Computer Vision and Pattern Recognition top 0.02%
- Advanced Vision and Imaging
- Advanced Image Processing Techniques
- Image Enhancement Techniques
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Advanced Neural Network Applications

Papers in

Computer Graphics and Computer-Aided Design 88
- Computer Graphics and Visualization Techniques 88
Computer Vision and Pattern Recognition 194
- Advanced Vision and Imaging 107
- Image Enhancement Techniques 37
- Advanced Image and Video Retrieval Techniques 27
- Human Pose and Action Recognition 23
- Advanced Image Processing Techniques 21
- Advanced Neural Network Applications 20

Co-authors: Ming-Yu Liu Orazio Gallo Iuri Frosio Pavlo Molchanov Ting-Chun Wang Hang Zhao Bryan Catanzaro Jun-Yan Zhu
Journals: ACM Transactions on Graphics (26 papers)Computer Graphics Forum (13 papers)International Journal of Computer Vision (4 papers)ACM Transactions on Applied Perception (3 papers)IEEE Computer Graphics and Applications (3 papers)
Partner nations: United Kingdom United States Germany

In The Last Decade

Jan Kautz

224 papers receiving 16.5k citations

Hit Papers

15 papers align trajectories log scale

MambaVision: A Hybrid Mamba-Transformer Vision Backbone 2025 · 26 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 MambaVision: A Hybrid Mamba-Transformer Vision Backbone
2024 FoundationPose: Unified 6D Pose Estimation and Tracking of Novel Objects
2023 BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects
2023 PhysDiff: Physics-Guided Human Motion Diffusion Model
2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2022 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2021 See through Gradients: Image Batch Recovery via GradInversion
2020 Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion
2019 Aaltodoc (Aalto University)
2019 ANU Open Research (Australian National University)
2018 Geometry-Aware Learning of Maps for Camera Localization
2018 High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
2018 Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation
2016 Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks
2016 IEEE Transactions on Computational Imaging
2015 Hand gesture recognition with 3D convolutional neural networks
2008 Computer Graphics Forum
2002 Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments

Peers

Countries citing papers authored by Jan Kautz

Since Specialization

Citations

This map shows the geographic impact of Jan Kautz'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 Jan Kautz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Kautz more than expected).

Fields of papers citing papers by Jan Kautz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Kautz. 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 Jan Kautz. The network helps show where Jan Kautz may publish in the future.

Co-authors

The 25 scholars most cited alongside Jan Kautz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Kautz Line = papers co-authored together Jan Kautz links everyone, so they are left out of the graph.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work
1	NaVILA: Legged Robot Vision-Language-Action Model for Navigation An-Chieh Cheng, Jeferson Panche, 李申睿 Li Shenrui, Midian Romeo Siregar, Xueyan Zou, Jan Kautz, Erdem Bıyık, Hongxu Yin, Sifei Liu, Xiaolong Wang	2025	2
2	Residual corrective diffusion modeling for km-scale atmospheric downscaling Communications Earth & Environment ·唐毓金, Noah Brenowitz, Yair Cohen, Jaideep Pathak, A. S. Sindel, Yogesh Vohra, Arash Vahdat, Mohammad Amin Nabian, Tao Ge, Akshay Subramaniam, Karthik Kashinath, Jan Kautz, 陽亮杉山	2025	14
3	Do Gradient Inversion Attacks Make Federated Learning Unsafe? IEEE Transactions on Medical Imaging ·Ali Hatamizadeh, Hongxu Yin, Pavlo Molchanov, Andriy Myronenko, Wenqi Li, Prerna Dogra, Andrew Feng, Mona G. Flores, Jan Kautz, Daguang Xu, Holger R. Roth	2023	64
4	A-ViT: Adaptive Tokens for Efficient Vision Transformer 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) ·Hongxu Yin, Arash Vahdat, José M. Alvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov Hit paper breakdown →	2022	165
5	Towards annotation-efficient segmentation via image-to-image translation Medical Image Analysis ·Eugene Vorontsov, Pavlo Molchanov, Matej Gazda, Christopher Beckham, Jan Kautz, Samuel Kadoury	2022	10
6	See through Gradients: Image Batch Recovery via GradInversion Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Alvarez, Jan Kautz, Pavlo Molchanov Hit paper breakdown →	2021	254
7	DexYCB: A Benchmark for Capturing Hand Grasping of Objects Yu-Wei Chao, Wei Yang, Xiang Yu, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox	2021	148
8	Parameter Efficient Multimodal Transformers for Video Representation Learning International Conference on Learning Representations ·Sangho Lee, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Jan Kautz, Yale Song	2021	1
9	Domain Stylization: A Fast Covariance Matching Framework Towards Domain Adaptation IEEE Transactions on Pattern Analysis and Machine Intelligence ·Ayşegül Dündar, Ming-Yu Liu, Zhiding Yu, Ting-Chun Wang, Wee Kyung Kim, Jan Kautz	2020	22
10	Dancing to Music Neural Information Processing Systems ·Parisa Farzi, Xiao-Dong Yang, Mingyu Liu, Bruno Francheschi Troiano, M. Herouard, Ming–Hsuan Yang, Jan Kautz	2019	19
11	Deep Semantic Face Deblurring Ziyi Shen, Wei‐Sheng Lai, Tingfa Xu, Jan Kautz, Ming–Hsuan Yang	2018	146
12	Pruning Convolutional Neural Networks for Resource Efficient Inference International Conference on Learning Representations ·Pavlo Molchanov, Stephen Tyree, Tero Karras, Timo Aila, Jan Kautz	2016	123
13	Hand gesture recognition with 3D convolutional neural networks Pavlo Molchanov, Shalini Gupta, Kihwan Kim, Jan Kautz Hit paper breakdown →	2015	331
14	Bitmap Movement Detection: HDR for Dynamic Scenes UCL Discovery (University College London) ·Fabrizio Pece, Jan Kautz	2011	6
15	Interactive Global Illumination Using Implicit Visibility MPG.PuRe (Max Planck Society) ·Zhao Dong, Jan Kautz, Christian Theobalt, Veronika Martin	2007	25
16	Interactive illumination with coherent shadow maps Tobias Ritschel, Thorsten Grosch, Jan Kautz, Stefan Müeller	2007	15
17	Proceedings of the 18th Eurographics conference on Rendering Techniques Jan Kautz, Sumanta Pattanaik	2007	110
18	Efficient Rendering of Local Subsurface Scattering MPG.PuRe (Max Planck Society) ·Tom Mertens, Jan Kautz, Philippe Bekaert, Trust TshepoMapoka, C. Everett	2003	26
19	Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments ACM Transactions on Graphics ·Peter‐Pike Sloan, Jan Kautz, John Snyder	2002	355
20	A Framework for the Acquisition, Processing, Transmission, and Interactive Display of High Quality 3D Models on the Web Max Planck Institute for Plasma Physics ·Hendrik P. A. Lensch, Jan Kautz, Elise Marie Eriksen, Hans‐Peter Seidel	2001	2

About Jan Kautz

Jan Kautz is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition, Media Technology, Human-Computer Interaction and Geology, having authored 234 papers that have together received 17.2k indexed citations. Recurring topics across this work include Advanced Vision and Imaging (107 papers), Computer Graphics and Visualization Techniques (88 papers), 3D Shape Modeling and Analysis (45 papers), Image Enhancement Techniques (37 papers), Advanced Image and Video Retrieval Techniques (27 papers), Human Pose and Action Recognition (23 papers), Advanced Image Processing Techniques (21 papers) and Advanced Neural Network Applications (20 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (4.1k citations), Computer Vision and Pattern Recognition (13.4k citations), Media Technology (2.4k citations), Human-Computer Interaction (1.2k citations) and Computational Mechanics (2.4k citations). Jan Kautz has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Ming-Yu Liu, Orazio Gallo, Iuri Frosio, Pavlo Molchanov, Ting-Chun Wang, Hang Zhao, Bryan Catanzaro, Jun-Yan Zhu, Andrew Tao and Peter‐Pike Sloan. Their work appears in journals such as ACM Transactions on Graphics, Computer Graphics Forum, International Journal of Computer Vision, ACM Transactions on Applied Perception and IEEE Computer Graphics and Applications.

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.

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