World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
102
Citations
51267
World Ranking
333
National Ranking
181

Overview

Jan Kautz is affiliated with Nvidia in the United States and has contributed extensively to the field of computer science, with a particular focus on computer vision and pattern recognition.

The recent publications associated with Jan Kautz include:

  • NVAE: A Deep Hierarchical Variational Autoencoder, 2020, arXiv (Cornell University)
  • GroupViT: Semantic Segmentation Emerges from Text Supervision, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • A-ViT: Adaptive Tokens for Efficient Vision Transformer, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Video-to-Video Synthesis, 2025, arXiv (Cornell University)
  • GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

The frequent co-authors collaborating with Jan Kautz are:

  • Pavlo Molchanov
  • Sifei Liu
  • Zhiding Yu
  • Hongxu Yin
  • Arash Vahdat

Jan Kautz has published across several notable venues, including:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Lecture notes in computer science

The main fields of research include computer science with a specialization in subfields such as:

  • Computer Vision and Pattern Recognition
  • Artificial Intelligence
  • Computational Mechanics
  • Control and Systems Engineering
  • Aerospace Engineering

The primary topics of work associated with Jan Kautz cover a range of areas, including:

  • Advanced Vision and Imaging
  • Human Pose and Action Recognition
  • Advanced Neural Network Applications
  • Domain Adaptation and Few-Shot Learning
  • Multimodal Machine Learning Applications
  • Generative Adversarial Networks and Image Synthesis
  • 3D Shape Modeling and Analysis

Best Publications

  • High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

    Ting-Chun Wang;Ming-Yu Liu;Jun-Yan Zhu;Andrew Tao

  • Loss Functions for Image Restoration With Neural Networks

    Hang Zhao;Orazio Gallo;Iuri Frosio;Jan Kautz

  • Multimodal Unsupervised Image-to-Image Translation

    Xun Huang;Ming-Yu Liu;Serge J. Belongie;Jan Kautz

  • PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

    Deqing Sun;Xiaodong Yang;Ming-Yu Liu;Jan Kautz

  • Unsupervised Image-to-Image Translation Networks

    Ming-Yu Liu;Thomas M. Breuel;Jan Kautz

  • Pruning Convolutional Neural Networks for Resource Efficient Inference

    Pavlo Molchanov;Stephen Tyree;Tero Karras;Timo Aila

  • Precomputed radiance transfer for real-time rendering in dynamic, low-frequency lighting environments

    Peter-Pike Sloan;Jan Kautz;John Snyder

  • Exposure Fusion: A Simple and Practical Alternative to High Dynamic Range Photography

    T. Mertens;J. Kautz;F. Van Reeth

  • MoCoGAN: Decomposing Motion and Content for Video Generation

    Sergey Tulyakov;Ming-Yu Liu;Xiaodong Yang;Jan Kautz

  • Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

    Huaizu Jiang;Deqing Sun;Varan Jampani;Ming-Hsuan Yang

  • Joint Discriminative and Generative Learning for Person Re-Identification

    Zhedong Zheng;Xiaodong Yang;Zhiding Yu;Liang Zheng

  • SPLATNet: Sparse Lattice Networks for Point Cloud Processing

    Hang Su;Varun Jampani;Deqing Sun;Subhransu Maji

  • Importance Estimation for Neural Network Pruning

    Pavlo Molchanov;Arun Mallya;Stephen Tyree;Iuri Frosio

  • Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks

    Pavlo Molchanov;Xiaodong Yang;Shalini Gupta;Kihwan Kim

  • Few-Shot Unsupervised Image-to-Image Translation

    Ming-Yu Liu;Xun Huang;Arun Mallya;Tero Karras

  • Exposure Fusion

    T. Mertens;J. Kautz;F. Van Reeth

  • Hand gesture recognition with 3D convolutional neural networks

    Pavlo Molchanov;Shalini Gupta;Kihwan Kim;Jan Kautz

  • GroupViT: Semantic Segmentation Emerges from Text Supervision

    Unknown

  • Video-to-Video Synthesis

    Ting-Chun Wang;Ming-Yu Liu;Jun-Yan Zhu;Guilin Liu

  • Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion

    Hongxu Yin;Pavlo Molchanov;Jose M. Alvarez;Zhizhong Li

  • NVAE: A Deep Hierarchical Variational Autoencoder

    Arash Vahdat;Jan Kautz

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Ming-Yu Liu
Ming-Yu Liu Nvidia (United States)
Jinwei Gu
Jinwei Gu Chinese University of Hong Kong
Xiaodong Yang
Xiaodong Yang Nvidia (United Kingdom)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen
Michael Goesele
Michael Goesele Technical University of Darmstadt
Deqing Sun
Deqing Sun Google (United States)
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology

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