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Hi there, I'm

Jian Shi

Computer Vision Researcher · I build

PhD Candidate @ KAUST · Co-founder of Kornia

🎓 Graduating 2026 — open to research-scientist / postdoc roles

I'm a final-year PhD candidate at KAUST (graduating 2026), advised by Prof. Peter Wonka, and a co-founder & core maintainer of Kornia — one of the most widely used open-source differentiable computer vision libraries built on PyTorch.

My research integrates geometric reasoning into generative AI for 3D perception and immersive visual computing, with a particular emphasis on stereo video synthesis — teaching machines to see, reconstruct, and synthesize the 3D world.

Portrait of Jian Shi

Updates

News

  • 2026.09 New preprint: Disparity Has a Sign — stereo matching beyond the zero-disparity plane, with the ZDPShift benchmark. Project page · arXiv.
  • 2026.05 DissolveStereo accepted to ACM SIGGRAPH 2026 (Journal Track, ACM TOG).
  • 2026.05 ImmersePro accepted to ICML 2026.
  • 2026.02 Any Resolution Any Geometry accepted to CVPR 2026.
  • 2025.09 Invited talk on Agentic Computer Vision with Kornia at GOSIM Hangzhou 2025.
  • 2025.06 Two papers — VoxelKP and Amodal Depth Anything — accepted to ICCV 2025.
  • 2025.06 Received the Dean's List Award from KAUST. 🎓

Research

Publications

Peer-reviewed and preprint work, newest first. See also my Google Scholar profile.

2026

Disparity Has a Sign: Stereo Matching Beyond the Zero-Disparity Plane
arXiv 2026

Disparity Has a Sign: Stereo Matching Beyond the Zero-Disparity Plane

Jian Shi, Xinge Yang, Chaoyang Wang, Wolfgang Heidrich, Peter Wonka

arXiv preprint, 2026

ImmersePro: End-to-End Stereo Video Synthesis via Implicit Disparity Learning
ICML 2026

ImmersePro: End-to-End Stereo Video Synthesis via Implicit Disparity Learning

Jian Shi, Zhenyu Li, Peter Wonka

ICML 2026

DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation
SIGGRAPH 2026

DissolveStereo: Coarse Depth Injection for Zero-Shot Stereo Video Generation

Jian Shi, Qian Wang, Zhenyu Li, Wenqing Cui, Ramzi Idoughi, Peter Wonka

ACM SIGGRAPH 2026 (Journal Track) · ACM TOG

Any Resolution Any Geometry: From Multi-View to Multi-Patch
CVPR 2026

Any Resolution Any Geometry: From Multi-View to Multi-Patch

Wenqing Cui, Zhenyu Li, Mykola Lavreniuk, Jian Shi, Ramzi Idoughi, Xiangjun Tang, Peter Wonka

CVPR 2026

2025

VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data
ICCV 2025

VoxelKP: A Voxel-based Network Architecture for Human Keypoint Estimation in LiDAR Data

Jian Shi, Peter Wonka

ICCV 2025

Amodal Depth Anything: Amodal Depth Estimation in the Wild
ICCV 2025

Amodal Depth Anything: Amodal Depth Estimation in the Wild

Zhenyu Li, Mykola Lavreniuk, Jian Shi, Shariq Farooq Bhat, Peter Wonka

ICCV 2025

Kornia-rs: A Low-Level 3D Computer Vision Library in Rust
ICRA-W 2025

Kornia-rs: A Low-Level 3D Computer Vision Library in Rust

Edgar Riba, Jian Shi, Aditya Kumar, Andrew Shen, Gary Bradski

ICRA 2025 — Rust for Robotics (R4R) Workshop

2024

Dissolving is Amplifying: Towards Fine-grained Anomaly Detection
ECCV 2024

Dissolving is Amplifying: Towards Fine-grained Anomaly Detection

Jian Shi, Pengyi Zhang, Ni Zhang, Hakim Ghazzai, Peter Wonka

ECCV 2024

Differentiable Image Data Augmentation and Its Applications: A Survey
TPAMI

Differentiable Image Data Augmentation and Its Applications: A Survey

Jian Shi, Hakim Ghazzai, Yehia Massoud

IEEE TPAMI, 2024

Leveraging 3D LiDAR Sensors to Enable Enhanced Urban Safety and Public Health
EMBC 2024

Leveraging 3D LiDAR Sensors to Enable Enhanced Urban Safety and Public Health

Nawfal Guefrachi, Jian Shi, Hakim Ghazzai, Ahmad Alsharoa

IEEE EMBC 2024

2023

NeuralPV: A Neural Network Algorithm for PV Power Forecasting
ISCAS 2023

NeuralPV: A Neural Network Algorithm for PV Power Forecasting

Imran Pervez, Jian Shi, Hakim Ghazzai, Yehia Massoud

IEEE ISCAS 2023

2022

TorMentor: Deterministic Dynamic-Path, Data Augmentations with Fractals
CVPR 2022

TorMentor: Deterministic Dynamic-Path, Data Augmentations with Fractals

Anguelos Nicolaou, Vincent Christlein, Edgar Riba, Jian Shi, Georg Vogeler, Mathias Seuret

CVPR 2022

A Multitask Deep-Learning System for Assessment of Diabetic Macular Ischemia on OCTA Images
Retina 2022

A Multitask Deep-Learning System for Assessment of Diabetic Macular Ischemia on OCTA Images

Dawei Yang, Zihan Sun, Jian Shi, Anran Ran, et al.

Retina, 2022

2021

Artificial Intelligence in Ophthalmopathy and Ultra-wide Field Image: A Survey
ESWA 2021

Artificial Intelligence in Ophthalmopathy and Ultra-wide Field Image: A Survey

Jie Yang, Simon Fong, Han Wang, Jian Shi, et al.

Expert Systems with Applications, 2021

Deep-learning-based Pre-diagnosis Assessment Module for Retinal Photographs: A Multicenter Study
TVST 2021

Deep-learning-based Pre-diagnosis Assessment Module for Retinal Photographs: A Multicenter Study

Vincent Yuen, Anran Ran, Jian Shi, et al.

Translational Vision Science & Technology (TVST), 2021

2020

A Survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch
arXiv 2020

A Survey on Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

Edgar Riba, Dmytro Mishkin, Jian Shi, Daniel Ponsa, Francesc Moreno-Noguer, Gary Bradski

arXiv, 2020

Differentiable Data Augmentation with Kornia
NeurIPS-W

Differentiable Data Augmentation with Kornia

Jian Shi, Edgar Riba, Dmytro Mishkin, Francesc Moreno, Anguelos Nicolaou

NeurIPS 2020 Workshop on Differentiable Vision

2019

AI Deep Learning Algorithm for Discriminating Ungradable OCT 3D Optic Disc Scans
Neurophoton.

AI Deep Learning Algorithm for Discriminating Ungradable OCT 3D Optic Disc Scans

An Ran Ran, Jian Shi, et al.

Neurophotonics, 2019

Open Source

Open Source Leadership & Impact

Co-founder & core maintainer of Kornia · since 2020

We are actively looking for industrial and research collaborations, as well as funding, to grow Kornia and advance open-source computer vision. If you'd like to partner, sponsor, or build on top of it, I'd love to talk.

11k+ GitHub stars 3M+ monthly downloads 100M+ total downloads

Activities

  • May 2026 Google Summer of Code — Org Admin & Mentor Kornia · GSoC ↗
  • May 2025 Rust for Robotics (R4R) Workshop — Kornia-rs ICRA 2025
  • May 2025 Google Summer of Code — Org Admin & Mentor Kornia · GSoC ↗
Talks & Tutorials 6
  • Sep 2025 Accessible Agentic Computer Vision with Kornia GOSIM Hangzhou 2025 · Website ↗
  • Jun 2025 ONNXSequential: Seamless ONNX Model Composition in Kornia PyTorch Day China 2025
  • Jun 2025 Bubbaloop 101: Turn Your Phone into a Security Camera in 10 Minutes Scientific Computing in Rust 2025 · Tutorial · Website ↗
  • Apr 2022 Accelerate Your Data Augmentation Pipeline with Kornia FOSSASIA Summit · YouTube ↗
  • Dec 2021 Kornia AI: Low-Level Computer Vision for AI PyTorch Developer Day 2021
  • Dec 2020 Differentiable Data Augmentation with Kornia NeurIPS 2020 Workshop · SlidesLive ↗

Background

Experience & Education

Experience

  1. 2021 — 2022

    Associate Researcher II

    NEC Laboratories China

  2. 2018 — 2020

    Research Assistant

    The Chinese University of Hong Kong

  3. 2017-2018

    Intern / Thesis Research

    GE Power

Education

  1. 2022 — 2026

    Ph.D., Computer Science

    King Abdullah University of Science and Technology (KAUST)

  2. 2016 — 2018

    M.Sc. Cloud Computing — Distinction (First-Class Honours)

    University of Leicester

  3. 2011 — 2015

    B.M., Information Management and Information Systems

    Zhengzhou University of Aeronautics

Inventions

Patents

  • Issued Nov 2022 Display screen panel with dynamic electronic endoscopy graphical user interface CN307670607S
  • Filed Mar 2022 · pending Data processing method and electronic device US2023289660A1 · JP7501703B2 · CN116776137A

Get in touch

Let's talk

I'm always happy to connect about research collaborations, open-source work, or opportunities. Email is the fastest way to reach me.