Peibei Cao
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View article: HiLLIE: Human-in-the-Loop Training for Low-Light Image Enhancement
HiLLIE: Human-in-the-Loop Training for Low-Light Image Enhancement Open
Developing effective approaches to generate enhanced results that align well with human visual preferences for high-quality well-lit images remains a challenge in low-light image enhancement (LLIE). In this paper, we propose a human-in-the…
View article: Learned HDR Image Compression for Perceptually Optimal Storage and Display
Learned HDR Image Compression for Perceptually Optimal Storage and Display Open
High dynamic range (HDR) capture and display have seen significant growth in popularity driven by the advancements in technology and increasing consumer demand for superior image quality. As a result, HDR image compression is crucial to fu…
View article: Perceptual Assessment and Optimization of HDR Image Rendering
Perceptual Assessment and Optimization of HDR Image Rendering Open
High dynamic range (HDR) rendering has the ability to faithfully reproduce the wide luminance ranges in natural scenes, but how to accurately assess the rendering quality is relatively underexplored. Existing quality models are mostly desi…
View article: Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches
Image Quality Assessment: Integrating Model-Centric and Data-Centric Approaches Open
Learning-based image quality assessment (IQA) has made remarkable progress in the past decade, but nearly all consider the two key components -- model and data -- in isolation. Specifically, model-centric IQA focuses on developing ``better…
View article: A Perceptually Optimized and Self-Calibrated Tone Mapping Operator
A Perceptually Optimized and Self-Calibrated Tone Mapping Operator Open
With the increasing popularity and accessibility of high dynamic range (HDR) photography, tone mapping operators (TMOs) for dynamic range compression are practically demanding. In this paper, we develop a two-stage neural network-based TMO…
View article: Heart ID: Human Identification Based on Radar Micro-Doppler Signatures of the Heart Using Deep Learning
Heart ID: Human Identification Based on Radar Micro-Doppler Signatures of the Heart Using Deep Learning Open
Human identification based on radar signatures of individual heartbeats is crucial in various applications, including user authentication in mobile devices, identification of escaped criminals, etc. Usually, optical systems employed to rec…
View article: Classification of Ground Targets Based on Radar Micro-Doppler Signatures Using Deep Learning and Conventional Supervised Learning Methods
Classification of Ground Targets Based on Radar Micro-Doppler Signatures Using Deep Learning and Conventional Supervised Learning Methods Open
Radar has great potential in military and civilian areas, including automobile anti-collision, battlefield surveillance, etc., due to its high penetration and all-weather capability. On the basis of traditional targets detection, targets c…