Yanlin Qian

I am a color&luma ISP research engineer, with my enthusiasm on making realtime low-ppa Computational photography algorithms and its product implementation. I work for MicroBT now.

I am an ex-Huawei&Honor engineer. I work on a bunch but still quite narrow ISP problems, for example auto-white balance (awb), illumination reflentance spectra estimation, chromatic adaption, blc lsc ccm ae and so on. I graduated from Phd in Tampere University in December 2020, where I was supervised by Prof. Joni-Kristian Kämäräinen and Prof. Jiri Matas.

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Built on trigular distribution, we learn an injective function mapping feature difference to label difference linearly. We prove it useful in 3 tasks: Facial Age Recognition, Illumination Chromaticity Estimation, and Aesthetics assessment.

The first awb work tacking awb problem in the world of the 3d point cloud, captured with rgb sensor and a TOF sensor.

To address the problem of decomposing an image into albedo and shading, we propose the Fast Fourier Intrinsic Network, FFI-Net in short, that operates in the spectral domain, splitting the input into several spectral bands.

We propose a neural network-based solution for three different tracks of 2nd International Illumination Estimation Challenge. SDE-AWB obtains 1st place in both indoor and two-illuminant tracks and 2nd place in general track.

Revisiting Temporal color constancy. We propose a 600-video temporal color constancy dataset, and a smaller better faster net called TCC-Net.

We cascade SqueezeNet-based bricks obtain SotA results on Gehlershi and NUS 8-camera datasets.

Gray (achromatic) pixels can be used for illumination estimation. This paper tells how to pick up them ACCURATELY.

Gray (achromatic) pixels can be used for illumination estimation. This paper tells how to pick up them using Clustering.

Gray (achromatic) pixels can be used for illumination estimation. This paper tells how to pick up them with the help of flash photography.

We briefly introduce two submissions to the Illumination Estimation Challenge, in the Int'l Workshop on Color Vision, affiliated to the 11th Int'l Symposium on Image and Signal Processing and Analysis. The fourier-transform-based submission is ranked 3rd, and the statistical Gray-pixel-based one ranked 6th.

Temporal color constancy: measuring the illumination of the captured image based on image deque.

Illumination estimation based on VGG and AlexNet feature map and multi-output regression. This is my first paper.