29 citations · 37 across the 6 of their papers we have counts for
15 papers · 1 filter
RealDiff: Real-world 3D Shape Completion using Self-Supervised Diffusion Models
Başak Melis Öcal, Maxim Tatarchenko, Sezer Karaoglu +1
Point cloud completion aims to recover the complete 3D shape of an object from partial observations. While approaches relying on synthetic shape priors achieved promising results i…
PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition
Partha Das, Sezer Karaoglu, Theo Gevers
Intrinsic image decomposition is the process of recovering the image formation components (reflectance and shading) from an image. Previous methods employ either explicit priors to…
Generative Models for Multi-Illumination Color Constancy
Partha Das, Yang Liu, Sezer Karaoglu +1
In this paper, the aim is multi-illumination color constancy. However, most of the existing color constancy methods are designed for single light sources. Furthermore, datasets for…
EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
Hoang-An Le, Thomas Mensink, Partha Das +2
Multimodal large-scale datasets for outdoor scenes are mostly designed for urban driving problems. The scenes are highly structured and semantically different from scenarios seen i…
Spatio-temporal Features for Generalized Detection of Deepfake Videos
Ipek Ganiyusufoglu, L. Minh Ngô, Nedko Savov +2
For deepfake detection, video-level detectors have not been explored as extensively as image-level detectors, which do not exploit temporal data. In this paper, we empirically show…
Physics-based Shading Reconstruction for Intrinsic Image Decomposition
Anil S. Baslamisli, Yang Liu, Sezer Karaoglu +1
We investigate the use of photometric invariance and deep learning to compute intrinsic images (albedo and shading). We propose albedo and shading gradient descriptors which are de…