Anil Baslamisli
Title
Cited by
Cited by
Year
CNN based Learning using Reflection and Retinex Models for Intrinsic Image Decomposition
AS Baslamisli, HA Le, T Gevers
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
382018
Joint Learning of Intrinsic Images and Semantic Segmentation
AS Baslamisli, TT Groenestege, P Das, HA Le, S Karaoglu, T Gevers
European Conference on Computer Vision, 2018
182018
Color constancy by GANs: An experimental survey
P Das, AS Baslamisli, Y Liu, S Karaoglu, T Gevers
arXiv preprint arXiv:1812.03085, 2018
142018
Three for one and one for three: Flow, Segmentation, and Surface Normals
HA Le, AS Baslamisli, T Mensink, T Gevers
British Machine Vision Conference, 2018
82018
ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
AS Baslamisli, P Das, HA Le, S Karaoglu, T Gevers
International Journal of Computer Vision, 2021
32021
Physics-based shading reconstruction for intrinsic image decomposition
AS Baslamisli, Y Liu, S Karaoglu, T Gevers
Computer Vision and Image Understanding 205, 103183, 2021
22021
Unsupervised Generation of Optical Flow Datasets
HA Le, T Nimbhorkar, T Mensink, AS Baslamisli, S Karaoglu, T Gevers
arXiv preprint arXiv:1812.01946, 2018
2*2018
Invariant descriptors for intrinsic reflectance optimization
AS Baslamisli, T Gevers
JOSA A 38 (6), 887-896, 2021
2021
Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation
D Biertimpel, S Shkodrani, AS Baslamisli, N Baka
arXiv preprint arXiv:2011.11787, 2020
2020
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Articles 1–9