5 papers
PolarVLM: Bridging the Semantic-Physical Gap in Vision-Language Models
Yuliang Li, Chu Zhou, Heng Guo +3
Mainstream vision-language models (VLMs) fundamentally struggle with severe optical ambiguities, such as reflections and transparent objects, due to the inherent limitations of sta…
High-Speed Full-Color HDR Imaging via Unwrapping Modulo-Encoded Spike Streams
Chu Zhou, Siqi Yang, Kailong Zhang +4
Conventional RGB-based high dynamic range (HDR) imaging faces a fundamental trade-off between motion artifacts in multi-exposure captures and irreversible information loss in singl…
High-Resolution Single-Shot Polarimetric Imaging Made Easy
Shuangfan Zhou, Chu Zhou, Heng Guo +4
Polarization-based vision has gained increasing attention for providing richer physical cues beyond RGB images. While achieving single-shot capture is highly desirable for practica…
Architectural Unification for Polarimetric Imaging Across Multiple Degradations
Chu Zhou, Yufei Han, Junda Liao +6
Polarimetric imaging aims to recover polarimetric parameters, including Total Intensity (TI), Degree of Polarization (DoP), and Angle of Polarization (AoP), from captured polarized…
Learning to Deblur Polarized Images
Chu Zhou, Minggui Teng, Xinyu Zhou +3
A polarization camera can capture four linear polarized images with different polarizer angles in a single shot, which is useful in polarization-based vision applications since the…