Junjie Luo

PhD Student, Electrical and Computer Engineering, Purdue University

About Me

Hello! I am Junjie Luo, a PhD student in Electrical and Computer Engineering at Purdue University. My research focuses on Depth from Defocus methods, particularly Depth from Couple Optical Differentiation (COD), and real-time depth estimation. I am passionate about advancing imaging techniques and developing computational methods to solve complex optical problems.

My research interests include:

  • Depth from Defocus (DfD) techniques
  • Computational imaging
  • Real-time depth estimation
  • Optical differentiation methods

Education

Short CV

  • PhD Student, Electrical and Computer Engineering, Purdue University (Present)
  • MSc in Computer Information and Technology, Purdue University
  • BSc in Computer Science, Sun Yat-sun University

Publications

Focal Split: Untethered Snapshot Depth from Differential Defocus

Authors: Luo, J., Mamish, J., Fu, A., Concannon, T., Hester, J., Alexander, E., Guo, Q.

Abstract:
We present Focal Split, a snapshot depth from differential defocus method that uses two images captured with different sensor distances by a beamsplitter...

Link: [arXiv] | Project Page: [page]

Preprinted: 2025, IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Blurry-Edges: Photon-Limited Depth Estimation from Defocused Boundaries

Authors: Xu, W., Wagner, C., Luo, J., Guo, Qi.

Abstract:
We present a novel approach to robustly measure object depths from photon-limited images along the defocused boundaries...

Link: [arXiv]

Preprinted: 2025, IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR)

Depth from Coupled Optical Differentiation

Authors: Luo, J., Liu, Y., Alexander, E. and Guo, Q.

Abstract:
We propose depth from coupled optical differentiation, a low-computation passive-lighting 3D sensing mechanism...

Link: [arXiv]

Preprinted: 2024, arXiv preprint arXiv:2409.10725

CT-Bound: Fast Boundary Estimation From Noisy Images

Authors: Xu, W., Luo, J. and Guo, Q.

Abstract:
We present CT-Bound, a robust and fast boundary detection method for very noisy images...

Link: [arXiv]

Published: 2024, IEEE 26th International Workshop on Multimedia Signal Processing (MMSP) (pp. 1-6)

Generative Quanta Color Imaging

Authors: Purohit, V., Luo, J., Chi, Y., Guo, Q., Chan, S.H. and Qiu, Q.

Abstract:
The astonishing development of single-photon cameras has created an unprecedented opportunity...

Link: [arXiv]

Published: 2024, IEEE/CVF Conference on Computer Vision and Pattern Recognition

Contact

You can reach me at:

  • Email: luo330@purdue.edu
  • Office: Flex Lab 3095, 205 Gates Rd, West Lafayette, IN 47906