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20142026
most citedOn the Benefit of Adversarial Training for Monocular Depth Estimation

29 citations · 84 across the 27 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

cs.CV2020★ 1 cited

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…

cs.CV2020★ 7 cited

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…

cs.CV2020

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…

cs.CV2020

Multi-Loss Weighting with Coefficient of Variations

Rick Groenendijk, Sezer Karaoglu, Theo Gevers +1

Many interesting tasks in machine learning and computer vision are learned by optimising an objective function defined as a weighted linear combination of multiple losses. The fina…

cs.CV2020★ 1 cited

Kinship Identification through Joint Learning Using Kinship Verification Ensembles

Wei Wang, Shaodi You, Sezer Karaoglu +1

Kinship verification is a well-explored task: identifying whether or not two persons are kin. In contrast, kinship identification has been largely ignored so far. Kinship identific…