activity
20182020
most citedCascading Convolutional Color Constancy

3 citations · 7 across the 5 of their papers we have counts for

collaborators

11 papers

cs.CV20201 cited

Illumination Estimation Challenge: experience of past two years

Egor Ershov, Alex Savchik, Ilya Semenkov +15

Illumination estimation is the essential step of computational color constancy, one of the core parts of various image processing pipelines of modern digital cameras. Having an acc…

cs.CV2020

Fast Fourier Intrinsic Network

Yanlin Qian, Miaojing Shi, Joni-Kristian Kämäräinen +1

We 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, split…

cs.CV2020

SDE-AWB: a Generic Solution for 2nd International Illumination Estimation Challenge

Yanlin Qian, Sibo Feng, Kang Qian +1

We propose a neural network-based solution for three different tracks of 2nd International Illumination Estimation Challenge (chromaticity.iitp.ru). Our method is built on pre-trai…

cs.CV2020

A Benchmark for Temporal Color Constancy

Yanlin Qian, Jani Käpylä, Joni-Kristian Kämäräinen +2

Temporal Color Constancy (CC) is a recently proposed approach that challenges the conventional single-frame color constancy. The conventional approach is to use a single frame - sh…

cs.CV20193 cited

Cascading Convolutional Color Constancy

Huanglin Yu, Ke Chen, Kaiqi Wang +3

Regressing the illumination of a scene from the representations of object appearances is popularly adopted in computational color constancy. However, it's still challenging due to…

cs.CV20191 cited

DAL -- A Deep Depth-aware Long-term Tracker

Yanlin Qian, Alan Lukežič, Matej Kristan +2

The best RGBD trackers provide high accuracy but are slow to run. On the other hand, the best RGB trackers are fast but clearly inferior on the RGBD datasets. In this work, we prop…