Three for one and one for three: Flow, Segmentation, and Surface Normals. - Hoang-An Le; Anil S. Baslamisli; Thomas Mensink; Theo Gevers (BMVC, 2018)

CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition. - Anil S. Baslamisli; Hoang-An Le; Theo Gevers (CVPR, 2018)

Joint Learning of Intrinsic Images and Semantic Segmentation. - Anil S. Baslamisli; Thomas T. Groenestege; Partha Das; Hoang-An Le; Sezer Karaoglu; Theo Gevers (ECCV (6), 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)

Color Constancy by GANs: An Experimental Survey. - Partha Das; Anil S. Baslamisli; Yang Liu 009; Sezer Karaoglu; Theo Gevers (CoRR, 2018)

Prior to Segment: Foreground Cues for Novel Objects in Partially Supervised Instance Segmentation. - David Biertimpel; Sindi Shkodrani; Anil S. Baslamisli; Nóra Baka (CoRR, 2020)

Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation. - David Biertimpel; Sindi Shkodrani; Anil S. Baslamisli; Nóra Baka (ICCV, 2021)

Physics-based shading reconstruction for intrinsic image decomposition. - Anil S. Baslamisli; Yang Liu 009; Sezer Karaoglu; Theo Gevers (Comput. Vis. Image Underst., 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)

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)

Invariant Descriptors for Intrinsic Reflectance Optimization. - Anil S. Baslamisli; Theo Gevers (CoRR, 2022)