most citedObject Class Detection and Classification using Multi Scale Gradient and Corner Point based Shape Descriptors

1 citations · 1 across the 1 of their papers we have counts for

collaborators

7 papers

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

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…

eess.IV201929 cited

On the Benefit of Adversarial Training for Monocular Depth Estimation

Rick Groenendijk, Sezer Karaoglu, Theo Gevers +1

In this paper we address the benefit of adding adversarial training to the task of monocular depth estimation. A model can be trained in a self-supervised setting on stereo pairs o…

cs.CV20181 cited

Deception Detection by 2D-to-3D Face Reconstruction from Videos

Minh Ngô, Burak Mandira, Selim Fırat Yılmaz +5

Lies and deception are common phenomena in society, both in our private and professional lives. However, humans are notoriously bad at accurate deception detection. Based on the li…

cs.CV2018

Color Constancy by GANs: An Experimental Survey

Partha Das, Anil S. Baslamisli, Yang Liu +2

In this paper, we formulate the color constancy task as an image-to-image translation problem using GANs. By conducting a large set of experiments on different datasets, an experim…

cs.CV2018

Improving Face Detection Performance with 3D-Rendered Synthetic Data

Jian Han, Sezer Karaoglu, Hoang-An Le +1

In this paper, we provide a synthetic data generator methodology with fully controlled, multifaceted variations based on a new 3D face dataset (3DU-Face). We customized synthetic d…