Anil S. Baslamisli

Google Scholar

4th Year PhD Student
Computer Vision Group, University of Amsterdam

I am 4th year PhD student at University of Amsterdam under the supervision of Prof. Theo Gevers. Currently, I am working on the Trimbot2020 project focusing on intrinsic image decomposition. My research interests include computer vision and pattern recognition, especially physics-based representations, invariant descriptors, general scene understanding and color image processing.

I received my Master's Degree in Data Engineering with distinction from Tampere University of Technology, Finland in 2016. I performed my thesis "Camera Sensor Invariant Auto White Balance Algorithm Weighting" under the supervison of Prof. Moncef Gabbouj, in collaboration with Intel. During my studies, I also carried out an internship at Microsoft Finland, where I worked on image sharpness optimization and auto white balance problems.


★★★ Check out some of the amazing reviews we have received over the years from the top conferences and journals to get inspired for your research! ★★★

Check out my article on the Trimbot2020 project and our related research published on the UA Magazine!


Our work "Physics-based Shading Reconstruction for Intrinsic Image Decomposition" is available on arXiv!

Our work "ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition" is available on arXiv!

Our work "Automatic Generation of Dense Non-rigid Optical Flow" is available on arXiv!

Our work "Color Constancy by GANs: An Experimental Survey" is available on arXiv!

Our work "Joint Learning of Intrinsic Images and Semantic Segmentation" was published in ECCV2018! Project page

Our work "Three for one and one for three: Flow, Segmentation, and Surface Normals" was published in BMVC2018 as oral! Project page

Our work "CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition" was published in CVPR2018! Project page.