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Computer Science

D-Index
44
Citations
7077
World Ranking
7646
National Ranking
3312

Overview

Felix Heide is a researcher affiliated with Princeton University in the United States. Their work spans multiple fields and subfields within computer science and engineering, with a strong focus on vision and imaging technologies.

Their primary fields of study include:

  • Computer Science
  • Engineering

Their subfields of specialization cover:

  • Computer Vision and Pattern Recognition
  • Media Technology
  • Instrumentation
  • Artificial Intelligence
  • Biomedical Engineering

Felix Heide's research topics engage with various advanced imaging and sensing technologies and processing techniques. The main topics include:

  • Advanced Vision and Imaging
  • Advanced Optical Sensing Technologies
  • Optical measurement and interference techniques
  • Image Enhancement Techniques
  • Advanced Neural Network Applications
  • Advanced Optical Imaging Technologies
  • Image Processing Techniques and Applications

Their recent scholarly contributions include several papers published in reputable venues:

  • Roadmap for Optical Metasurfaces, 2024, ACS Photonics
  • Spiking Transformers for Event-based Single Object Tracking, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • LiDAR Snowfall Simulation for Robust 3D Object Detection, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging, 2022, Scientific Reports
  • Learned hardware-in-the-loop phase retrieval for holographic near-eye displays, 2020, ACM Transactions on Graphics

Frequent coauthors who have collaborated with Felix Heide include:

  • Mario Bijelic
  • Seung-Hwan Baek
  • Ethan Tseng
  • Praneeth Chakravarthula
  • Arka Majumdar

The researcher has published extensively in several venues, with multiple publications predominating in:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Nature Communications
  • Optics Express

Best Publications

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias NieBner

  • End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging

    Vincent Sitzmann;Steven Diamond;Yifan Peng;Xiong Dun

  • Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather

    Mario Bijelic;Tobias Gruber;Fahim Mannan;Florian Kraus

  • FlexISP: a flexible camera image processing framework

    Felix Heide;Markus Steinberger;Yun-Ta Tsai;Mushfiqur Rouf

  • Fast and flexible convolutional sparse coding

    Felix Heide;Wolfgang Heidrich;Gordon Wetzstein

  • High-quality computational imaging through simple lenses

    Felix Heide;Mushfiqur Rouf;Matthias B. Hullin;Bjorn Labitzke

  • Low-budget transient imaging using photonic mixer devices

    Felix Heide;Matthias B. Hullin;James Gregson;Wolfgang Heidrich

  • Spiking Transformers for Event-based Single Object Tracking

    Unknown

  • Diffuse Mirrors: 3D Reconstruction from Diffuse Indirect Illumination Using Inexpensive Time-of-Flight Sensors

    Felix Heide;Lei Xiao;Wolfgang Heidrich;Matthias B. Hullin

  • Wirtinger holography for near-eye displays

    Praneeth Chakravarthula;Yifan Peng;Joel Kollin;Henry Fuchs

  • Neural nano-optics for high-quality thin lens imaging.

    Ethan Tseng;Shane Colburn;James Whitehead;Luocheng Huang

  • Unrolled Optimization with Deep Priors

    Steven Diamond;Vincent Sitzmann;Felix Heide;Gordon Wetzstein

  • LiDAR Snowfall Simulation for Robust 3D Object Detection

    Unknown

  • Neural Scene Graphs for Dynamic Scenes

    Julian Ost;Fahim Mannan;Nils Thuerey;Julian Knodt

  • Deep-inverse correlography: towards real-time high-resolution non-line-of-sight imaging

    Christopher A. Metzler;Felix Heide;Prasana Rangarajan;Muralidhar Madabhushi Balaji

  • CALTag: High Precision Fiducial Markers for Camera Calibration

    Bradley Atcheson;Felix Heide;Wolfgang Heidrich

  • Learned large field-of-view imaging with thin-plate optics

    Yifan Peng;Qilin Sun;Xiong Dun;Gordon Wetzstein

  • Imaging in scattering media using correlation image sensors and sparse convolutional coding

    Felix Heide;Lei Xiao;Andreas Kolb;Matthias B. Hullin

  • Temporal frequency probing for 5D transient analysis of global light transport

    Matthew O'Toole;Felix Heide;Lei Xiao;Matthias B. Hullin

  • A survey on computational spectral reconstruction methods from RGB to hyperspectral imaging

    Unknown

  • Non-line-of-sight Imaging with Partial Occluders and Surface Normals

    Felix Heide;Matthew O’Toole;Kai Zang;David B. Lindell

  • Reconstructing Transient Images from Single-Photon Sensors

    Matthew O'Toole;Felix Heide;David B. Lindell;Kai Zang

  • Learned hardware-in-the-loop phase retrieval for holographic near-eye displays

    Praneeth Chakravarthula;Ethan Tseng;Tarun Srivastava;Henry Fuchs

  • Convolutional Sparse Coding for High Dynamic Range Imaging

    Ana Serrano;Felix Heide;Diego Gutierrez;Gordon Wetzstein

  • Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar

    Nicolas Scheiner;Florian Kraus;Fangyin Wei;Buu Phan

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias Nießner

Frequent Co-Authors

Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Gordon Wetzstein
Gordon Wetzstein Stanford University
Klaus Dietmayer
Klaus Dietmayer University of Ulm
Jan Kautz
Jan Kautz Nvidia (United States)
Stephen Boyd
Stephen Boyd Stanford University
David Luebke
David Luebke Nvidia (United States)
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Andreas Kolb
Andreas Kolb University of Siegen

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