Ethan Tseng

About

I am a Computer Science PhD student at Princeton University advised by Felix Heide in the Princeton Computational Imaging Lab. I am broadly interested in computer vision and graphics with a focus on computational imaging and displays. My research involves light, optics, image signal processors, machine learning, and optimization. I explore next generation camera and display systems for smartphones, medical practice, autonomous vehicles, and virtual/augmented reality. I am a recipient of the Google PhD Fellowship.

I have interned with Marc Levoy's NextCam team at Adobe in 2021/2022 and at Aswin Sankaranarayanan's Image Science Lab at Carnegie Mellon University in 2017. My research paper in Nature Communications has been highlighted by Optics & Photonics News as a breakthrough in optics and featured in international media, such as Vice News, BBC, NSF Discovery, IEEE Future Directions, and Jimmy Fallon's Tonight Show.

[CV]  /  [Email]  /  [Google Scholar]  /  [LinkedIn]  /  [Twitter]  /  [Github]

Ethan Tseng

Publications

* indicates equal contribution. Representative papers are highlighted.

 
Neural Étendue Expander for Ultra-Wide-Angle High-Fidelity Holographic Display
Ethan Tseng, Grace Kuo, Seung-Hwan Baek, Nathan Matsuda, Andrew Maimone, Florian Schiffers, Praneeth Chakravarthula, Qiang Fu, Wolfgang Heidrich, Douglas Lanman, Felix Heide
Nature Communications
[Press Coverage]
 
Neural Photo-Finishing
Ethan Tseng, Yuxuan Zhang, Lars Jebe, Cecilia Zhang, Zhihao Xia, Yifei Fan, Felix Heide, Jiawen Chen
SIGGRAPH Asia 2022
 
Pupil-aware Holography
Praneeth Chakravarthula, Seung-Hwan Baek, Florian Schiffers, Ethan Tseng, Grace Kuo, Andrew Maimone, Nathan Matsuda, Oliver Cossairt, Douglas Lanman, Felix Heide
SIGGRAPH Asia 2022
 
Hogel-free Holography
Praneeth Chakravarthula, Ethan Tseng, Henry Fuchs, Felix Heide
SIGGRAPH 2022
 
Neural Nano-Optics for High-quality Thin Lens Imaging
Ethan Tseng*, Shane Colburn*, James Whitehead, Luocheng Huang, Seung-Hwan Baek, Arka Majumdar, Felix Heide
Nature Communications
[Press Coverage]
 
Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues
Frank Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, Felix Heide
ICCV 2021
 
Differentiable Compound Optics and Processing Pipeline Optimization for End-to-end Camera Design
Ethan Tseng*, Ali Mosleh*, Fahim Mannan*, Karl St-Arnaud, Avinash Sharma, Yifan Peng, Alexander Braun, Derek Nowrouzezahrai, Jean-François Lalonde, Felix Heide
SIGGRAPH 2021
 
ZeroScatter: Domain Transfer for Long Distance Imaging and Vision through Scattering Media
Zheng Shi*, Ethan Tseng*, Mario Bijelic*, Werner Ritter, Felix Heide
CVPR 2021
 
Hardware-in-the-loop Phase Retrieval for Holographic Near-Eye Displays
Praneeth Chakravarthula, Ethan Tseng, Tarun Srivastava, Henry Fuchs, Felix Heide
SIGGRAPH Asia 2020
 
Learning Rank-1 Diffractive Optics for Single-shot High Dynamic Range Imaging
Qilin Sun, Ethan Tseng, Qiang Fu, Wolfgang Heidrich, Felix Heide
CVPR 2020 (Oral)
 
Hyperparameter Optimization in Black-box Image Processing using Differentiable Proxies
Ethan Tseng, Felix Yu, Yuting Yang, Fahim Mannan, Karl St-Arnaud, Derek Nowrouzezahrai, Jean-François Lalonde, Felix Heide
SIGGRAPH 2019
 
Automated Detection of Left Ventricle in Arterial Input Function Images for Inline Perfusion Mapping using Deep Learning: A study of 15,000 Patients
Hui Xue, Ethan Tseng, Kristopher D Knott, Tushar Kotecha, Louise Brown, Sven Plein, Marianna Fontana, James C Moon, Peter Kellman
Magnetic Resonance in Medicine
 
Persona: A High-Performance Bioinformatics Framework
Stuart Byma, Sam Whitlock, Laura Flueratoru, Ethan Tseng, Christos Kozyrakis, Edouard Bugnion, James Larus
USENIX ATC 2017

Talks

 
Differentiable Cameras and Displays
Praneeth Chakravarthula, Florian Schiffers, Oliver Cossairt, Ethan Tseng, Seung-Hwan Baek, Felix Heide
SIGGRAPH Courses 2022

Teaching

Princeton COS 426: Computer Graphics, Lead Graduate Assistant Instructor, Spring 2020, Spring 2021, Spring 2022
Princeton COS 597A: Imaging the Invisible, Lead Graduate Assistant Instructor, Fall 2020
Princeton COS 217: Introduction to Programming Systems, Graduate Assistant Instructor, Fall 2019
CMU 15-150: Functional Programming, Undergraduate Teaching Assistant, Fall 2015

Service

Reviewer for Scientific Reports, TOG, SIGGRAPH, SIGGRAPH Asia, Eurographics, CVPR, ICCV, ECCV, ICCP, NeurIPS, TPAMI, TVCG, TCI, Optics Express, Optics Letters, Photonics Research

Outreach

Art of Science, Contributor, Spring 2023
Día de la Ciencia, HISPA 20K Inspirational Stories Contributor, Summer 2020
Princeton AI4ALL, Graduate Research Instructor, Summer 2019

Website design from Jon Barron.