Research | Chao Qu's homepage

Projects

The project I participated in as a core member involves 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 have rich experience in the construction of optical systems and multi-payload platforms, and I enjoy these.

Co-axial imaging system

The system consists of a co-axial imaging device (including a visible camera, an infrared camera, and a dichroic mirror) and an edge computing platform (such as NVIDIA Jetson or HUAWEI HiSilicon). The hardware features a simple and compact design, making it suitable for deployment in vehicle-mounted scenarios. It enables imaging and perception under all-weather conditions.

Apr 19, 2022

Airborne Optical Platform

The optical system is integrated with the airborne platform, enabling multispectral target detection and tracking. This has significant implications for applications such as environmental monitoring and power grid inspection.

Aug 16, 2021