LPR Group

LPR Group

NVIDIA Learning and Perception Research Group

Welcome to the homepage of NVIDIA’s Learning and Perception Research group, led by Dr. Jan Kautz. Our research spans computer vision and machine learning. We are particularly interested in:

  • Human-centric Perception: body pose, hand pose, facial landmarks, gaze estimation, activity detection and recognition, etc.
  • Perception for Autonomous Machines: stereo, optical flow, object pose estimation, 3D shape estimation, etc.
  • Neural Content Capture and Synthesis: image and view synthesis, neural avatars, neural agents, denoising diffusion models, GANs, etc.
  • Resource-Efficient Deep Learning: pruning, NAS, efficient backbones, weakly- and self-supervised learning, etc.

Graduate students interested in interning with us are welcome reach out directly to team members for more details.

News

October 2022 - We’ll be presenting 7 papers at ECCV in Tel Aviv, come say hi!

September 2022 - The LPR website goes live!!

Members

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Jan Kautz

Team Leader

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Abhishek Badki

3D Vision, Deep Learning

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Ali Hatamizadeh

Computer Vision, Generative Learning

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Arash Vahdat

Generative Learning

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Arun Mallya

Generative Modeling

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Ben Eckart

3D Vision

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Bowen Wen

3D Vision, Robotics

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Chao Liu

3D Vision, Inverse Problems

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Charles Loop

Real-time 3D Computer Graphics and Vision

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Chen-Hsuan Lin

3D Reconstruction, View Synthesis, Neural Rendering

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Guilin Liu

Generative Models, Low-Level Vision

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Hang Su

3D Vision, Deep Learning

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Hongxu (Danny) Yin

Efficient and Secure Deep Learning

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Iuri Frosio

Imaging, RL, Computational Aspects of DL

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Jeff Smith

3D Vision, Robotics

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Jiaming Song

Machine Learning, Generative Modeling

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Jonathan Tremblay

Computer Vision, Robotics

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Morteza Mardani

Machine Learning, Generative Modeling, Inverse Problems

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Orazio Gallo

Computer Vision, 3D Vision, Computational Photography

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Pavlo Molchanov

Machine Learning for CV

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Seungjun Nah

Computer Vision, Image Synthesis

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Shalini De Mello

Computer Vision, Face and Gaze, Data/label-efficient Learning

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Siddharth Gururani

Audio-Visual Synthesis, Machine Learning

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Sifei Liu

Computer Vision, Self-Supervised Learning

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Stan Birchfield

3D Vision, Robotics

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Stephen Tyree

Computer Vision, Robotics

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Thomas Breuel

Computer Vision

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Ting-Chun Wang

Computer Vision, Image Synthesis

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Umar Iqbal

Computer Vision, Digital Humans, Motion Capture

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Wonmin Byeon

Spatio-Temporal Learning, Continual Learning

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Xueting Li

Computer Vision, 3D Vision

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Ye Yuan

3D Vision, Embodied AI, Reinforcement Learning

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Yogesh Balaji

Machine Learning, Generative Modeling

Publications

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