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)

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

Novel View Synthesis from Single Images via Point Cloud Transformation. - Hoang-An Le; Thomas Mensink; Partha Das; Theo Gevers (BMVC, 2020)

Unit Commitment Framework to Assess Flexibility Resource Capability for High RE Penetration. - Anjali Jain; Sumanth Yamujala; Partha Das; Ankita S. Gaur; Rohit Bhakar; Jyotirmay Mathur; Priyanka Kushwaha (ISGT-Europe, 2020)

Generative Models for Multi-Illumination Color Constancy. - Partha Das; Yang Liu 009; Sezer Karaoglu; Theo Gevers (ICCVW, 2021)

EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes. - Hoang-An Le; Thomas Mensink; Partha Das; Sezer Karaoglu; Theo Gevers (WACV, 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)

PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition. - Partha Das; Sezer Karaoglu; Theo Gevers (CVPR, 2022)

SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes. - Partha Das; Sezer Karaoglu; Arjan Gijsenij; Theo Gevers (ECCV Workshops (3), 2022)

Intrinsic image decomposition using physics-based cues and CNNs. - Partha Das; Sezer Karaoglu; Theo Gevers (Comput. Vis. Image Underst., 2022)

IDTransformer: Transformer for Intrinsic Image Decomposition. - Partha Das; Maxime Gevers; Sezer Karaoglu; Theo Gevers (ICCV (Workshops), 2023)