Sezer Karaoglu

About Sezer Karaoglu

Sezer Karaoglu, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at Universiteit van Amsterdam, specializes in the field of Computer Vision, 3D, Machine Learning, Text Detection, Color.

His recent articles reflect a diverse array of research interests and contributions to the field:

Kinship similarity for open sets

Temporally Consistent Semantic Segmentation using Spatially Aware Multi-view Semantic Fusion for Indoor RGB-D videos

IDTransformer: Transformer for Intrinsic Image Decomposition

Relational Prior Knowledge Graphs for Detection and Instance Segmentation

Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction

Intrinsic Appearance Decomposition Using Point Cloud Representation

Corrigendum: Initial development of perpetrator confrontation using deepfake technology in victims with sexual violence-related PTSD and moral injury

A clinimetric assessment of the validity and reliability of 3D technology for scar surface area measurement

Sezer Karaoglu Information

University

Position

3DUniversum

Citations(all)

821

Citations(since 2020)

673

Cited By

315

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

23

i10Index(since 2020)

19

Email

University Profile Page

Google Scholar

Sezer Karaoglu Skills & Research Interests

Computer Vision

3D

Machine Learning

Text Detection

Color

Top articles of Sezer Karaoglu

Kinship similarity for open sets

Pattern Recognition

2024/4/1

Temporally Consistent Semantic Segmentation using Spatially Aware Multi-view Semantic Fusion for Indoor RGB-D videos

2023

Sezer Karaoglu
Sezer Karaoglu

H-Index: 9

Theo Gevers
Theo Gevers

H-Index: 37

IDTransformer: Transformer for Intrinsic Image Decomposition

2023

Relational Prior Knowledge Graphs for Detection and Instance Segmentation

2023

Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction

2023

Sezer Karaoglu
Sezer Karaoglu

H-Index: 9

Theo Gevers
Theo Gevers

H-Index: 37

Intrinsic Appearance Decomposition Using Point Cloud Representation

2023

Sezer Karaoglu
Sezer Karaoglu

H-Index: 9

Theo Gevers
Theo Gevers

H-Index: 37

Corrigendum: Initial development of perpetrator confrontation using deepfake technology in victims with sexual violence-related PTSD and moral injury

2023

Sezer Karaoglu
Sezer Karaoglu

H-Index: 9

Theo Gevers
Theo Gevers

H-Index: 37

A clinimetric assessment of the validity and reliability of 3D technology for scar surface area measurement

Burns

2023/5/1

A survey on kinship verification

Neurocomputing

2023/3/7

SIGNet model release

2022/10/24

Theo Gevers
Theo Gevers

H-Index: 37

Sezer Karaoglu
Sezer Karaoglu

H-Index: 9

Multi-person 3D pose estimation from a single image captured by a fisheye camera

Computer Vision and Image Understanding

2022/9/1

Intrinsic Image Decomposition using Physics-based Cues and CNNs

Computer Vision and Image Understanding

2022/10/1

SIGNet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes

2022/10/23

Pose Guided Human Motion Transfer by Exploiting 2D and 3D Information

2022/9/12

Distortion-aware Depth Estimation with Gradient Priors from Panoramas of Indoor Scenes

2022/9/12

Sezer Karaoglu
Sezer Karaoglu

H-Index: 9

Theo Gevers
Theo Gevers

H-Index: 37

PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition

2022

Identity Invariant Age Transfer for Kinship Verification of Child-Adult Images

Available at SSRN 4078804

2022

Automatic generation of dense non-rigid optical flow

Computer Vision and Image Understanding

2021/9/8

Sezer Karaoglu
Sezer Karaoglu

H-Index: 9

Theo Gevers
Theo Gevers

H-Index: 37

Generative Models for Multi-Illumination Color Constancy

2021

ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition

International Journal of Computer Vision

2021/8

See List of Professors in Sezer Karaoglu University(Universiteit van Amsterdam)

Co-Authors

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