Anil S. Baslamisli

According to our database, Anil S. Baslamisli authored at least 11 papers between 2018 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Invariant Descriptors for Intrinsic Reflectance Optimization.

Anil S. Baslamisli, Theo Gevers

CoRR, 2022

2021

ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition.

Anil S. Baslamisli, Partha Das, Hoang-An Le, Sezer Karaoglu, Theo Gevers

Int. J. Comput. Vis., 2021

Automatic generation of dense non-rigid optical flow.

Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli, Sezer Karaoglu, Theo Gevers

Comput. Vis. Image Underst., 2021

Physics-based shading reconstruction for intrinsic image decomposition.

Anil S. Baslamisli, Yang Liu, Sezer Karaoglu, Theo Gevers

Comput. Vis. Image Underst., 2021

Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation.

David Biertimpel, Sindi Shkodrani, Anil S. Baslamisli, Nóra Baka

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Prior to Segment: Foreground Cues for Novel Objects in Partially Supervised Instance Segmentation.

David Biertimpel, Sindi Shkodrani, Anil S. Baslamisli, Nóra Baka

CoRR, 2020

2018

Color Constancy by GANs: An Experimental Survey.

Partha Das, Anil S. Baslamisli, Yang Liu, Sezer Karaoglu, Theo Gevers

CoRR, 2018

Unsupervised Generation of Optical Flow Datasets from Videos in the Wild.

Hoang-An Le, Tushar Nimbhorkar, Thomas Mensink, Anil S. Baslamisli, Sezer Karaoglu, Theo Gevers

CoRR, 2018

Joint Learning of Intrinsic Images and Semantic Segmentation.

Anil S. Baslamisli, Thomas T. Groenestege, Partha Das, Hoang-An Le, Sezer Karaoglu, Theo Gevers

Proceedings of the Computer Vision - ECCV 2018, 2018

CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition.

Anil S. Baslamisli, Hoang-An Le, Theo Gevers

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Three for one and one for three: Flow, Segmentation, and Surface Normals.

Hoang-An Le, Anil S. Baslamisli, Thomas Mensink, Theo Gevers

Proceedings of the British Machine Vision Conference 2018, 2018