Lei Sun (孙磊)

I am a post-doc researcher at INSAIT, advised by Prof. Luc Van Gool. and Dr. Danda Pani Paudel.

I earned my Ph.D. from Zhejiang University under the supervision of Prof. Kaiwei Wang. I was a visiting doctoral student at Robotics and Perception Group, University of Zurich, under the supervision of Prof. Davide Scaramuzza. I was also a visiting doctoral student at Computer Vision Lab, ETH Zurich under the supervision of Prof. Luc Van Gool. Before that, I received my bachelor's degree from Beijing Institute of Technology.

I'm interested in image/video generation, computational imaging, and event-based vision.

Email  /  Google Scholar  /  Linkedin  /  Github

First-author papers are highlighted. * denotes equal contribution and † denotes corresponding author.

The best algorithm (so far) for the automatic design of compound-lens-based computational imaging systems.

Could SR models produce better results than GT?

Unified Event-based frame interpolation for both sharp frames and blurry frames with unsupervised domain adaption for unkown camera parameters.

EvTemMap, pioneering work of event-to-image conversion, produces high-quality, high-grascale-resolution, high-dynamic-range image from events only.

Event-based depth estimation for dynamic scenes, over 41 times faster in data acquisition than previous SOTA.

A Panoramic Computational Imaging Engine to achieve minimalist and high-quality panoramic imaging.

Event-assisted fast auto-focus algorithm. Precise focus with less than one depth of focus is achieved within 0.004 seconds.

SOTA unified Event-based frame interpolation for both sharp frames and blurry frames.

We present a novel event-based deblurring method that improves the previous state-of-the-art by 2.47 dB.

Annular Computational Imaging (ACI) framework to break the optical limit of light-weight Panoramic Annular Lens design.

A lightweight event-based human pose estimation model by processing events as point cloud.

Designing a lightweight panoramic annular lens with physical-based image enhancement model.

Designing a panoramic annular lens (PAL) system with 4K high resolution for aerial image segmentation.

Designing a specific semantic segmentation for aerial panoramic images.

A real-time RGB-D fusion semantic segmentation framework with small obstacle detection.

Propose three different auditory-based interaction methods which convey raw depth images, obstacle information and path information respectively to visually impaired people.

Propose a panoramic localizer, which is based on coarse-to-fine descriptors, leveraging panoramas for omnidirectional perception and sufficient FoV up to 360◦.

Develop a wearable system to transform the spatial information captured by camera into a voice description and fed it back to blind users.

Propose a framework to alleviate the accuracy decline when semantic segmentation is taken to adverse conditions by using Generative Adversarial Networks (GANs).

Co-organizer of CVPR 2025 New Trends in Image Restoration and Enhancement (NTIRE) workshop.

Organizer of the First Challenge On Event-based Image Deblurring in CVPR 2025 NTIRE workshop & Event-Based Vision workshop.

Organizer of the Challenge On Image Denoising in CVPR 2025 NTIRE workshop.

Co-organizer of the Challenge On Image Super-Resolution, and Challenge on Real-World Face Restoration in CVPR 2025 NTIRE workshop.

Reviewer for CVPR, ICCV, ECCV, AAAI, WACV, IJCV, TPAMI, TIP, RA-L, CVIU.

[ Video ] Invited talk on event-based image deblurring in Mobile Intelligent Photography and Imaging (MIPI) .

Invited talk in IV 2022 BSL Workshop.

Website template from Jon Barron