Zhikun Zhao — accepted AI-conference papers

2025

Multimodal Large Language Model-Guided ISP Hyperparameter Optimization with Dynamic Preference Learning

Xinyu Sun, Zhikun Zhao, Congyan Lang, Bing Li, Juan Wang

ICCV 2025poster

The image signal processing (ISP) pipeline is responsible for converting the RAW images collected from the sensor into high-quality RGB images. It contains a series of image processing modules and associated ISP hyperparameters. Recent learning-based approaches aim to automate ISP hyperparameter opt…

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2024

RL-SeqISP: Reinforcement Learning-Based Sequential Optimization for Image Signal Processing

Xinyu Sun, Zhikun Zhao, Lili Wei, Congyan Lang, Mingxuan Cai, Longfei Han +3

AAAI 2024technical

Hardware image signal processing (ISP), aiming at converting RAW inputs to RGB images, consists of a series of processing blocks, each with multiple parameters. Traditionally, ISP parameters are manually tuned in isolation by imaging experts according to application-specific quality and performance…

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