Emre Akbas

According to our database, Emre Akbas authored at least 55 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

AIDCON: An Aerial Image Dataset and Benchmark for Construction Machinery.

Ahmet Bahaddin Ersoz, Onur Pekcan, Emre Akbas

Remote. Sens., September, 2024

SegIns: A simple extension to instance discrimination task for better localization learning.

Melih Baydar, Emre Akbas

J. Vis. Commun. Image Represent., 2024

Early-exit Convolutional Neural Networks.

Edanur Demir, Emre Akbas

CoRR, 2024

Bucketed Ranking-based Losses for Efficient Training of Object Detectors.

Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan

CoRR, 2024

A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter.

Raheem Karim Hashmani, Emre Akbas, Melahat Bilge Demirköz

CoRR, 2024

MoCap-to-Visual Domain Adaptation for Efficient Human Mesh Estimation from 2D Keypoints.

Bedirhan Uguz, Ozhan Suat, Batuhan Karagöz, Emre Akbas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses.

Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts.

Gokcen Gokceoglu, Devrim Cavusoglu, Emre Akbas, Özen Nergis Dolcerocca

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

HoughNet: Integrating Near and Long-Range Evidence for Visual Detection.

Nermin Samet, Samet Hicsonmez, Emre Akbas

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Generalized Mask-aware IoU for Anchor Assignment for Real-time Instance Segmentation.

Baris Can Çam, Kemal Öksüz, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas

CoRR, 2023

Class Uncertainty: A Measure to Mitigate Class Imbalance.

Zeynep Sonat Baltaci, Kemal Oksuz, Selim Kuzucu, K. Tezoren, B. K. Konar, A. Ozkan, Emre Akbas, Sinan Kalkan

CoRR, 2023

WAIT: Feature Warping for Animation to Illustration video Translation using GANs.

Samet Hicsonmez, Nermin Samet, Fidan Samet, Oguz Bakir, Emre Akbas, Pinar Duygulu

CoRR, 2023

Transformers in Small Object Detection: A Benchmark and Survey of State-of-the-Art.

Aref Miri Rekavandi, Shima Rashidi, Farid Boussaïd, Stephen Hoefs, Emre Akbas, Mohammed Bennamoun

CoRR, 2023

Improving Sketch Colorization using Adversarial Segmentation Consistency.

Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu

CoRR, 2023

Correlation Loss: Enforcing Correlation between Classification and Localization.

Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Just noticeable difference for machine perception and generation of regularized adversarial images with minimal perturbation.

Adil Kaan Akan, Emre Akbas, Fatos T. Yarman-Vural

Signal Image Video Process., 2022

One Metric to Measure Them All: Localisation Recall Precision (LRP) for Evaluating Visual Detection Tasks.

Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Does depth estimation help object detection?

Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas

Image Vis. Comput., 2022

Character Generation through Self-Supervised Vectorization.

Gokcen Gokceoglu, Emre Akbas

CoRR, 2022

Streaming Multiscale Deep Equilibrium Models.

Can Ufuk Ertenli, Emre Akbas, Ramazan Gokberk Cinbis

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Imbalance Problems in Object Detection: A Review.

Kemal Oksuz, Baris Can Cam, Sinan Kalkan, Emre Akbas

IEEE Trans. Pattern Anal. Mach. Intell., 2021

HPRNet: Hierarchical point regression for whole-body human pose estimation.

Nermin Samet, Emre Akbas

Image Vis. Comput., 2021

A Deeper Look into Convolutions via Pruning.

Ilke Çugu, Emre Akbas

CoRR, 2021

Adversarial Segmentation Loss For Sketch Colorization.

Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Rank & Sort Loss for Object Detection and Instance Segmentation.

Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation.

Kemal Oksuz, Baris Can Cam, Fehmi Kahraman, Zeynep Sonat Baltaci, Sinan Kalkan, Emre Akbas

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

GANILLA: Generative adversarial networks for image to illustration translation.

Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu

Image Vis. Comput., 2020

Low-level multiscale image segmentation and a benchmark for its evaluation.

Emre Akbas, Narendra Ahuja

Comput. Vis. Image Underst., 2020

Generating Positive Bounding Boxes for Balanced Training of Object Detectors.

Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection.

Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

HoughNet: Integrating Near and Long-Range Evidence for Bottom-Up Object Detection.

Nermin Samet, Samet Hicsonmez, Emre Akbas

Proceedings of the Computer Vision - ECCV 2020, 2020

Reducing Label Noise in Anchor-Free Object Detection.

Nermin Samet, Samet Hicsonmez, Emre Akbas

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Modeling and Decoding Complex Problem Solving Process by Artificial Neural Networks.

Adil Kaan Akan, Baran Baris Kivilcim, Emre Akbas, Sharlene D. Newman, Fatos T. Yarman-Vural

Proceedings of the 27th Signal Processing and Communications Applications Conference, 2019

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images.

Ilke Çugu, Eren Sener, Emre Akbas

Proceedings of the Ninth International Conference on Image Processing Theory, 2019

Activity Learning from Lifelogging Images.

Kader Belli, Emre Akbas, Adnan Yazici

Proceedings of the Artificial Intelligence and Soft Computing, 2019

Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry.

Muhammed Kocabas, Salih Karagoz, Emre Akbas

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Who draw this? Caricaturist recognition using convolutional neural networks.

Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu

Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

Localization Recall Precision (LRP): A New Performance Metric for Object Detection.

Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan

Proceedings of the Computer Vision - ECCV 2018, 2018

MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network.

Muhammed Kocabas, Salih Karagoz, Emre Akbas

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Object detection through search with a foveated visual system.

Emre Akbas, Miguel P. Eckstein

PLoS Comput. Biol., 2017

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images.

Ilke Çugu, Eren Sener, Emre Akbas

CoRR, 2017

Supervised Infinite Feature Selection.

Sadegh Eskandari, Emre Akbas

CoRR, 2017

Could we create a training set for image captioning using automatic translation?

Nermin Samet, Samet Hicsonmez, Pinar Duygulu, Emre Akbas

Proceedings of the 25th Signal Processing and Communications Applications Conference, 2017

2016

Decoding cognitive states using the bag of words model on fMRI time series.

Gunes Sucu, Emre Akbas, Ilke Öztekin, Eda Mizrak, Fatos T. Yarman-Vural

Proceedings of the 24th Signal Processing and Communication Application Conference, 2016

2014

Low-Level Hierarchical Multiscale Segmentation Statistics of Natural Images.

Emre Akbas, Narendra Ahuja

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Object Detection Through Exploration With A Foveated Visual Field.

Emre Akbas, Miguel P. Eckstein

CoRR, 2014

A framework for machine vision based on neuro-mimetic front end processing and clustering.

Emre Akbas, Aseem Wadhwa, Miguel P. Eckstein, Upamanyu Madhow

Proceedings of the 52nd Annual Allerton Conference on Communication, 2014

2011

Generation and analysis of segmentation trees for natural images

Emre Akbas

PhD thesis, 2011

MIS-Boost: Multiple Instance Selection Boosting

Emre Akbas, Bernard Ghanem, Narendra Ahuja

CoRR, 2011

2010

Low-Level Image Segmentation Based Scene Classification.

Emre Akbas, Narendra Ahuja

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Pedestrian Recognition with a Learned Metric.

Mert Dikmen, Emre Akbas, Thomas S. Huang, Narendra Ahuja

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

From Ramp Discontinuities to Segmentation Tree.

Emre Akbas, Narendra Ahuja

Proceedings of the Computer Vision, 2009

2007

Automatic Image Annotation by Ensemble of Visual Descriptors.

Emre Akbas, Fatos T. Yarman-Vural

Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

2006

Design of a Feature Set for Face Recognition Problem.

Emre Akbas, Fatos T. Yarman-Vural

Proceedings of the Computer and Information Sciences, 2006

A Hierarchical Classification System Based on Adaptive Resonance Theory.

Mutlu Uysal, Emre Akbas, Fatos T. Yarman-Vural

Proceedings of the International Conference on Image Processing, 2006