Chao Qu's homepage

Chao Qu

PhD Candidate

Nanjing University of Science and Technology (NJUST)

Biography

I received my B.E. degree in Electronic Science and Technology from Nanjing University of Science and Technology (NJUST) in 2019. Currently, I am a Ph.D. candidate at the School of Electronic and Optical Engineering, NJUST. My research interests primarily focus on computer vision, neuromorphic imaging, infrared imaging, and computational imaging.

Interests

Computer Vision
Infrared Imaging
Neuromorphic Imaging
Computational imaging

Education

MEng & PhD in Optical Engineering, 2020-Present
Nanjing University of Science and Technology
BEng in Electronic Science and Technology, 2015-2019
Nanjing University of Science and Technology

Featured Publications

Noise Modeling

Prior-Guided Infrared Spatiotemporal Noise Modeling Based on Hybrid Neural Representation

We propose an infrared spatiotemporal noise modeling framework based on hybrid neural representation, which leverages unpaired video data to simulate real-world noise.

Jan 22, 2026

Denoising and Destriping

Self-BSR: Self-supervised Image Denoising and Destriping Based on Blind-Spot Regularization

We propose Self-BSR, a self-supervised image denoising and destriping method based on blind-spot regularization. This approach reformulates the overall denoising and destriping problem as a modeling task involving two spatially correlated signals: the image and the stripe.

Apr 9, 2025

Recent Publications

Chao Qu, Jing Han, Haotian Yu, Xiaoyu Chen (2026). Prior-Guided Infrared Spatiotemporal Noise Modeling Based on Hybrid Neural Representation. Optics Express.

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Chao Qu, Shuo Zhu, Yuhang Wang, Zongze Wu, Xiaoyu Chen, Edmund Y. Lam, Jing Han (2025). Near-Infrared Image Deblurring and Event Denoising with Synergistic Neuromorphic Imaging. arXiv.

PDF DOI

Chao Qu, Zewei Chen, Jingyuan Zhang, Xiaoyu Chen, Jing Han (2025). Self-BSR: Self-supervised Image Denoising and Destriping Based on Blind-Spot Regularization. TCSVT.

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Chao Qu, Xiaoyu Chen, Qihan Xu, Jing Han (2024). Frequency-Aware Degradation Modeling for Real-World Thermal Image Super-Resolution. Entropy.

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Projects

The projects I participated in as a core member involve infrared characteristic modeling, infrared enhancement, multi-modal fusion, and object detection.

Self-Supervised Learning

Image Denoising and Destriping

A self-supervised image denoising and destriping framework based on blind-spot regularization. The framework transforms the overall denoising and destriping problem into a modeling task for two spatially correlated signals: image and stripe.

Sep 26, 2024

Target and Sensor Characteristics

Characteristic Modeling

To address the challenges faced in paired data collection, we propose a modeling method for infrared characteristics, aimed at simulating the degradation from high-quality infrared images to low-quality infrared images.

Mar 2, 2023

Multi-Sensor Fusion Imaging

Infrared and Visible Image Fusion

Through adversarial semantic guidance technology, a controllable infrared and visible light image fusion method for salient targets is constructed.

Jun 5, 2022

Real-Time

Object Detection

The deployment and optimization of deep models on edge computing platforms aim to achieve real-time and robust infrared target detection.

Aug 16, 2021

Systems

I possess extensive expertise in constructing optical systems and multi-payload platforms, with a strong passion for hardware integration and system-level optimization.

Co-axial imaging system

This system integrates a co-axial imaging unit (comprising a visible camera, an infrared camera, and a dichroic mirror) with an edge computing platform (e.g., NVIDIA Jetson or HUAWEI HiSilicon). Featuring a compact and robust hardware design, it is optimized for vehicle-mounted deployment, enabling reliable all-weather imaging and perception.

Apr 19, 2022

Airborne Optical Platform

Integrated into an airborne platform, this optical system facilitates multispectral target detection and tracking. It holds significant potential for critical applications, including wide-area environmental monitoring and autonomous power grid inspection.

Aug 16, 2021