A Hierarchical Classification System Based on Adaptive Resonance Theory. - Mutlu Uysal; Emre Akbas; Fatos T. Yarman-Vural (ICIP, 2006)

Design of a Feature Set for Face Recognition Problem. - Emre Akbas; Fatos T. Yarman-Vural (ISCIS, 2006)

Automatic Image Annotation by Ensemble of Visual Descriptors. - Emre Akbas; Fatos T. Yarman-Vural (CVPR, 2007)

From Ramp Discontinuities to Segmentation Tree. - Emre Akbas; Narendra Ahuja (ACCV (1), 2009)

Pedestrian Recognition with a Learned Metric. - Mert Dikmen; Emre Akbas; Thomas S. Huang; Narendra Ahuja (ACCV (4), 2010)

Low-Level Image Segmentation Based Scene Classification. - Emre Akbas; Narendra Ahuja (ICPR, 2010)

MIS-Boost: Multiple Instance Selection Boosting - Emre Akbas; Bernard Ghanem; Narendra Ahuja (CoRR, 2011)

Generation and analysis of segmentation trees for natural images - Emre Akbas (2011)

A framework for machine vision based on neuro-mimetic front end processing and clustering. - Emre Akbas; Aseem Wadhwa; Miguel P. Eckstein; Upamanyu Madhow (Allerton, 2014)

Object Detection Through Exploration With A Foveated Visual Field. - Emre Akbas; Miguel P. Eckstein (CoRR, 2014)

Low-Level Hierarchical Multiscale Segmentation Statistics of Natural Images. - Emre Akbas; Narendra Ahuja (IEEE Trans. Pattern Anal. Mach. Intell., 2014)

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 (SIU, 2016)

Could we create a training set for image captioning using automatic translation? - Nermin Samet; Samet Hicsonmez; Pinar Duygulu; Emre Akbas (SIU, 2017)

Supervised Infinite Feature Selection. - Sadegh Eskandari; Emre Akbas (CoRR, 2017)

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Frontal Face Images. - Ilke Çugu; Eren Sener; Emre Akbas (CoRR, 2017)

Object detection through search with a foveated visual system. - Emre Akbas; Miguel P. Eckstein (PLoS Comput. Biol., 2017)

MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network. - Muhammed Kocabas; Salih Karagoz; Emre Akbas (ECCV (11), 2018)

Localization Recall Precision (LRP): A New Performance Metric for Object Detection. - Kemal Oksuz; Baris Can Cam; Emre Akbas; Sinan Kalkan (ECCV (7), 2018)

Who draw this? Caricaturist recognition using convolutional neural networks. - Samet Hicsonmez; Nermin Samet; Emre Akbas; Pinar Duygulu (SIU, 2018)

Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry. - Muhammed Kocabas; Salih Karagoz; Emre Akbas (CVPR, 2019)

Activity Learning from Lifelogging Images. - Kader Belli; Emre Akbas; Adnan Yazici (ICAISC (2), 2019)

MicroExpNet: An Extremely Small and Fast Model For Expression Recognition From Face Images. - Ilke Çugu; Eren Sener; Emre Akbas (IPTA, 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 (SIU, 2019)

Reducing Label Noise in Anchor-Free Object Detection. - Nermin Samet; Samet Hicsonmez; Emre Akbas (BMVC, 2020)

HoughNet: Integrating Near and Long-Range Evidence for Bottom-Up Object Detection. - Nermin Samet; Samet Hicsonmez; Emre Akbas (ECCV (25), 2020)

A Ranking-based, Balanced Loss Function Unifying Classification and Localisation in Object Detection. - Kemal Oksuz; Baris Can Cam; Emre Akbas; Sinan Kalkan (NeurIPS, 2020)

Generating Positive Bounding Boxes for Balanced Training of Object Detectors. - Kemal Oksuz; Baris Can Cam; Emre Akbas; Sinan Kalkan (WACV, 2020)

Low-level multiscale image segmentation and a benchmark for its evaluation. - Emre Akbas; Narendra Ahuja (Comput. Vis. Image Underst., 2020)

GANILLA: Generative adversarial networks for image to illustration translation. - Samet Hicsonmez; Nermin Samet; Emre Akbas; Pinar Duygulu (Image Vis. Comput., 2020)

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 (BMVC, 2021)

Rank & Sort Loss for Object Detection and Instance Segmentation. - Kemal Oksuz; Baris Can Cam; Emre Akbas; Sinan Kalkan (ICCV, 2021)

Adversarial Segmentation Loss For Sketch Colorization. - Samet Hicsonmez; Nermin Samet; Emre Akbas; Pinar Duygulu (ICIP, 2021)

A Deeper Look into Convolutions via Pruning. - Ilke Çugu; Emre Akbas (CoRR, 2021)

HPRNet: Hierarchical point regression for whole-body human pose estimation. - Nermin Samet; Emre Akbas (Image Vis. Comput., 2021)

Imbalance Problems in Object Detection: A Review. - Kemal Oksuz; Baris Can Cam; Sinan Kalkan; Emre Akbas (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Streaming Multiscale Deep Equilibrium Models. - Can Ufuk Ertenli; Emre Akbas; Ramazan Gokberk Cinbis (ECCV (11), 2022)

Character Generation through Self-Supervised Vectorization. - Gokcen Gokceoglu; Emre Akbas (CoRR, 2022)

Does depth estimation help object detection? - Bedrettin Cetinkaya; Sinan Kalkan; Emre Akbas (Image Vis. Comput., 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)

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)

Correlation Loss: Enforcing Correlation between Classification and Localization. - Fehmi Kahraman; Kemal Oksuz; Sinan Kalkan; Emre Akbas (AAAI, 2023)

Improving Sketch Colorization using Adversarial Segmentation Consistency. - Samet Hicsonmez; Nermin Samet; 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)

Class Uncertainty: A Measure to Mitigate Class Imbalance. - Zeynep Sonat Baltaci; Kemal Oksuz; Selim Kuzucu; Kivanc Tezoren; Berkin Kerim Konar; Alpay Ozkan; Emre Akbas; Sinan Kalkan (CoRR, 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)

HoughNet: Integrating Near and Long-Range Evidence for Visual Detection. - Nermin Samet; Samet Hicsonmez; Emre Akbas (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

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 (ACL (Findings), 2024)

RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses. - Bedrettin Cetinkaya; Sinan Kalkan; Emre Akbas (CVPR, 2024)

MoCap-to-Visual Domain Adaptation for Efficient Human Mesh Estimation from 2D Keypoints. - Bedirhan Uguz; Ozhan Suat; Batuhan Karagöz; Emre Akbas (CVPR Workshops, 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 (ECCV (59), 2024)

Early-exit Convolutional Neural Networks. - Edanur Demir; Emre Akbas (CoRR, 2024)

SegIns: A simple extension to instance discrimination task for better localization learning. - Melih Baydar; Emre Akbas (J. Vis. Commun. Image Represent., 2024)

A comparison of deep learning models for proton background rejection with the AMS electromagnetic calorimeter. - Raheem Karim Hashmani; Emre Akbas; Melahat Bilge Demirköz (Mach. Learn. Sci. Technol., 2024)

AIDCON: An Aerial Image Dataset and Benchmark for Construction Machinery. - Ahmet Bahaddin Ersoz; Onur Pekcan; Emre Akbas (Remote. Sens., 2024)

Dense depth alignment for human pose and shape estimation. - Batuhan Karagöz; Ozhan Suat; Bedirhan Uguz; Emre Akbas (Signal Image Video Process., 2024)

WAIT: Feature warping for animation to illustration video translation using GANs. - Samet Hicsonmez; Nermin Samet; Fidan Samet; Oguz Bakir; Emre Akbas; Pinar Duygulu (Neurocomputing, 2025)

Colorectal Cancer Tumor Grade Segmentation in Digital Histopathology Images: From Giga to Mini Challenge. - Alper Bahcekapili; Duygu Arslan; Umut Ozdemir; Berkay Ozkirli; Emre Akbas; Ahmet Acar; Gozde Bozdagi Akar; Bingdou He; Shuoyu Xu; Ümit Mert Çaglar; Alptekin Temizel; Guillaume Picaud; et al. (CoRR, 2025)

Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection. - Francesco Dalmonte; Emirhan Bayar; Emre Akbas; Mariana-Iuliana Georgescu (CoRR, 2025)

3D Human Mesh Estimation from Single View RGBD. - Ozhan Suat; Bedirhan Uguz; Batuhan Karagöz; Muhammed Can Keles; Emre Akbas (CoRR, 2025)