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Zhang Fan

2 accepted papers

2024

AdaptiveISP: Learning an Adaptive Image Signal Processor for Object Detection

NeurIPS 2024poster

Image Signal Processors (ISPs) convert raw sensor signals into digital images, which significantly influence the image quality and the performance of downstream computer vision tasks. Designing ISP pipeline and tuning ISP parameters are two key steps for building an imaging and vision system.…

2024

Goal Conditioned Reinforcement Learning for Photo Finishing Tuning

NeurIPS 2024poster

Photo finishing tuning aims to automate the manual tuning process of the photo finishing pipeline, like Adobe Lightroom or Darktable. Previous works either use zeroth-order optimization, which is slow when the set of parameters increases, or rely on a differentiable proxy of the target finishing pip…

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