2026 Fatih Porikli: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	90	602	585	10	10	463	39709

Research.com Recognitions

2026 - Research.com Computer Science in Australia Leader Award
2025 - Research.com Computer Science in Australia Leader Award
2023 - Research.com Computer Science in Australia Leader Award
2022 - Research.com Computer Science in Australia Leader Award
2014 - IEEE Fellow For contributions to computer vision and video surveillance

Overview

Fatih Porikli is affiliated with the Australian National University in Australia. Their research primarily focuses on computer science, with a particular concentration on computer vision and pattern recognition.

The subfields of study in which they have been active include:

Computer Vision and Pattern Recognition
Artificial Intelligence
Electrical and Electronic Engineering
Media Technology
Computational Mechanics

The main research topics covered by Fatih Porikli encompass:

Advanced Vision and Imaging
Advanced Neural Network Applications
Advanced Image Processing Techniques
Domain Adaptation and Few-Shot Learning
Advanced Image and Video Retrieval Techniques
Human Pose and Action Recognition
Image Enhancement Techniques

Frequent co-authors collaborating with Fatih Porikli include:

Shubhankar Borse (26 joint publications)
Hong Cai (20 joint publications)
Hong Cai (17 joint publications)
Debasmit Das (14 joint publications)
Amirhossein Habibian (11 joint publications)

Fatih Porikli has contributed to publications in several venues, with notable frequency in:

arXiv (Cornell University) - 76 publications
IEEE Transactions on Pattern Analysis and Machine Intelligence - 6 publications
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) - 4 publications
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) - 3 publications
Neurocomputing - 3 publications

Selected recent papers include the following:

"Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors," 2022, IEEE Transactions on Image Processing
"A Survey on Deep Learning Technique for Video Segmentation," 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
"Image Segmentation Using Deep Learning: A Survey," 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
"Tensor Decompositions in Wireless Communications and MIMO Radar," 2021, IEEE Journal of Selected Topics in Signal Processing
"Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts," 2020, International Journal of Computer Vision

In 2014, Fatih Porikli was named an IEEE Fellow for contributions in the areas of computer vision and video surveillance.

Best Publications

Region Covariance : A Fast Descriptor for Detection and Classification

Oncel Tuzel;Fatih Porikli;Peter Meer

3307
Citations
Image Segmentation Using Deep Learning: A Survey.

Shervin Minaee;Yuri Y. Boykov;Fatih Porikli;Antonio J Plaza

2943
Citations
The Visual Object Tracking VOT2016 Challenge Results

Matej Kristan;Aleš Leonardis;Jiři Matas;Michael Felsberg

1919
Citations
The Visual Object Tracking VOT2013 Challenge Results

Matej Kristan;Roman Pflugfelder;Ale Leonardis;Jiri Matas

1384
Citations
Pedestrian Detection via Classification on Riemannian Manifolds

O. Tuzel;F. Porikli;P. Meer

1267
Citations
Integral histogram: a fast way to extract histograms in Cartesian spaces

F. Porikli

1105
Citations
Underwater scene prior inspired deep underwater image and video enhancement

Chongyi Li;Saeed Anwar;Saeed Anwar;Fatih Porikli

1068
Citations
Changedetection.net: A new change detection benchmark dataset

Nil Goyette;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

1038
Citations
Covariance Tracking using Model Update Based on Lie Algebra

F. Porikli;O. Tuzel;P. Meer

756
Citations
Going deeper into action recognition

Samitha Herath;Mehrtash Harandi;Fatih Porikli

749
Citations
CDnet 2014: An Expanded Change Detection Benchmark Dataset

Yi Wang;Pierre-Marc Jodoin;Fatih Porikli;Janusz Konrad

747
Citations
Multi-class active learning for image classification

Ajay J Joshi;Fatih Porikli;Nikolaos Papanikolopoulos

720
Citations
A Novel Performance Evaluation Methodology for Single-Target Trackers

Matej Kristan;Jiri Matas;Ales Leonardis;Tomas Vojir

699
Citations
Human Detection via Classification on Riemannian Manifolds

O. Tuzel;F. Porikli;P. Meer

676
Citations
Saliency-aware geodesic video object segmentation

Wenguan Wang;Jianbing Shen;Fatih Porikli

593
Citations
Underwater Image Enhancement With Hyper-Laplacian Reflectance Priors

Unknown

522
Citations
See More, Know More: Unsupervised Video Object Segmentation With Co-Attention Siamese Networks

Xiankai Lu;Wenguan Wang;Chao Ma;Jianbing Shen

519
Citations
Saliency-Aware Video Object Segmentation

Wenguan Wang;Jianbing Shen;Ruigang Yang;Fatih Porikli

489
Citations
LightenNet: a Convolutional Neural Network for weakly illuminated image enhancement

Chongyi Li;Chongyi Li;Jichang Guo;Fatih Porikli;Yanwei Pang

476
Citations
Constant time O(1) bilateral filtering

F. Porikli

463
Citations
Less is More: Towards Compact CNNs

Hao Zhou;Jose M. Alvarez;Fatih Porikli;Fatih Porikli

341
Citations

Frequent Co-Authors

Oncel Tuzel Apple (United States)

Mehrtash Harandi Monash University

Jianbing Shen University of Macau

Ling Shao Terminus International

Wenguan Wang Zhejiang University

Xuming He Washington University in St. Louis

Hongdong Li Australian National University

Thierry Bouwmans University of La Rochelle

Yuchao Dai Northwestern Polytechnical University

Fahad Shahbaz Khan Mohamed bin Zayed University of Artificial Intelligence

External Links

Personal website of Fatih Porikli Google Scholar page

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