Lei Sun (孙磊)

I am a doctoral student at 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 am looking for post-doc positions or job opportunities related to event camera, low-level image process, and environment perception algorithms.

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I'm interested in computational imaging, semantic segmentation, and event cameras. First-author papers are highlighted.

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.

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).

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

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

Invited talk in IV 2022 BSL Workshop.

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