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Computer Science

D-Index
73
Citations
18237
World Ranking
1618
National Ranking
838

Overview

Ulrich Neumann is affiliated with the University of Southern California in the United States. Their research contributions span several areas within computer science and engineering with a focus on computer vision and computer graphics.

The main fields of study associated with Ulrich Neumann include:

  • Computer Science
  • Engineering

Within these fields, notable subfields of study are:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Automotive Engineering
  • Aerospace Engineering

Their research covers a range of topics, including:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Face recognition and analysis
  • Computer Graphics and Visualization Techniques
  • Autonomous Vehicle Technology and Safety
  • Robotics and Sensor-Based Localization
  • Video Surveillance and Tracking Methods

Ulrich Neumann has published extensively, with a presence in respected venues such as arXiv and multiple IEEE conferences. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • 2021 International Conference on 3D Vision (3DV)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Recent notable papers authored or co-authored by Ulrich Neumann include:

  • "Point-NeRF: Point-based Neural Radiance Fields" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Behind the Curtain: Learning Occluded Shapes for 3D Object Detection" (2022), Proceedings of the AAAI Conference on Artificial Intelligence
  • "Synergy between 3DMM and 3D Landmarks for Accurate 3D Facial Geometry" (2021), 2021 International Conference on 3D Vision (3DV)
  • "Toward Practical Monocular Indoor Depth Estimation" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices?" (2022), 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Ulrich Neumann collaborates frequently with several researchers, including:

  • Cho-Ying Wu
  • Yiqi Zhong
  • Qiangeng Xu
  • Chin-Cheng Hsu
  • Quankai Gao

Best Publications

  • Analysis of emotion recognition using facial expressions, speech and multimodal information

    Carlos Busso;Zhigang Deng;Serdar Yildirim;Murtaza Bulut

  • Point-NeRF: Point-based Neural Radiance Fields

    Unknown

  • Modeling and video projection for augmented virtual environments

    Ulrich Neumann;Suya You

  • Expression cloning

    Jun-yong Noh;Ulrich Neumann

  • SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation

    Weiyue Wang;Ronald Yu;Qiangui Huang;Ulrich Neumann

  • Recurrent Slice Networks for 3D Segmentation of Point Clouds

    Qiangui Huang;Weiyue Wang;Ulrich Neumann

  • Expression cloning

    Unknown

  • The Virtual Classroom: A Virtual Reality Environment for the Assessment and Rehabilitation of Attention Deficits

    A.A. Rizzo;J.G. Buckwalter;T. Bowerly;C. Van Der Zaag

  • DISN: Deep Implicit Surface Network for High-quality Single-view 3D Reconstruction

    Qiangeng Xu;Weiyue Wang;Duygu Ceylan;Radomir Mech

  • Hybrid inertial and vision tracking for augmented reality registration

    Suya You;U. Neumann;R. Azuma

  • Cognitive, performance, and systems issues for augmented reality applications in manufacturing and maintenance

    U. Neumann;A. Majoros

  • Fusion of vision and gyro tracking for robust augmented reality registration

    S. You;U. Neumann

  • Accelerating Volume Reconstruction With 3D Texture Hardware

    Timothy J. Cullip;Ulrich Neumann

  • Dynamic registration correction in video-based augmented reality systems

    M. Bajura;U. Neumann

  • Depth-Aware CNN for RGB-D Segmentation

    Weiyue Wang;Ulrich Neumann

  • Natural feature tracking for augmented reality

    U. Neumann;S. You

  • Augmented-reality tool employing scen e-feature autocalibration during camera motion

    Ulrich Neumann;Suya You

  • Grid-GCN for Fast and Scalable Point Cloud Learning

    Qiangeng Xu;Xudong Sun;Cho-Ying Wu;Panqu Wang

  • Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

    Unknown

  • Approaches to large-scale urban modeling

    Jinhui Hu;Suya You;U. Neumann

  • Rigid Head Motion in Expressive Speech Animation: Analysis and Synthesis

    C. Busso;Zhigang Deng;M. Grimm;U. Neumann

  • Virtual environment applications in clinical neuropsychology

    A. Rizzo;J.G. Buckwalter;C. van der Zaag;U. Neumann

  • Virtual Reality and Cognitive Rehabilitation: A Brief Review of the Future

    Albert A. Rizzo;J. Galen Buckwalter;Ulrich Neumann

Frequent Co-Authors

Suya You
Suya You University of Southern California
Zhigang Deng
Zhigang Deng University of Houston
John P. Lewis
John P. Lewis Victoria University of Wellington
Albert Rizzo
Albert Rizzo University of Southern California
Carlos Busso
Carlos Busso The University of Texas at Dallas
Shrikanth S. Narayanan
Shrikanth S. Narayanan University of Southern California
Krishna S. Nayak
Krishna S. Nayak University of Southern California
Carl Kesselman
Carl Kesselman University of Southern California
Jing Huang
Jing Huang Peking University
Duygu Ceylan
Duygu Ceylan Adobe Systems (United States)

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