| 2026 | WACV | Q-Former Autoencoder: A Modern Framework for Medical Anomaly Detection. | Francesco Dalmonte, Emirhan Bayar, Emre Akbas, Mariana-Iuliana Georgescu |
| 2025 | ICIP | 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, mit Mert aglar, Alptekin Temizel, Guillaume Picaud, Marc Chaumont, Grard Subsol, Luc Tot, Fahad Alsharekh, Shahad Alghannam, Hexiang Mao, Wenhua Zhang |
| 2024 | ACL | A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts. | Gokcen Gokceoglu, Devrim Cavusoglu, Emre Akbas, zen Nergis Dolcerocca |
| 2024 | CVPR | RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses. | Bedrettin Cetinkaya, Sinan Kalkan, Emre Akbas |
| 2024 | CVPR | MoCap-to-Visual Domain Adaptation for Efficient Human Mesh Estimation from 2D Keypoints. | Bedirhan Uguz, Ozhan Suat, Batuhan Karagz, Emre Akbas |
| 2024 | ECCV | Bucketed Ranking-Based Losses for Efficient Training of Object Detectors. | Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan, Kemal Oksuz, Emre Akbas, Sinan Kalkan |
| 2023 | AAAI | Correlation Loss: Enforcing Correlation between Classification and Localization. | Fehmi Kahraman, Kemal Oksuz, Sinan Kalkan, Emre Akbas |
| 2022 | ECCV | Streaming Multiscale Deep Equilibrium Models. | Can Ufuk Ertenli, Emre Akbas, Ramazan Gokberk Cinbis |
| 2021 | BMVC | 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 |
| 2021 | ICCV | Rank & Sort Loss for Object Detection and Instance Segmentation. | Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan |
| 2021 | ICIP | Adversarial Segmentation Loss For Sketch Colorization. | Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu |
| 2020 | BMVC | Reducing Label Noise in Anchor-Free Object Detection. | Nermin Samet, Samet Hicsonmez, Emre Akbas |
| 2020 | ECCV | HoughNet: Integrating Near and Long-Range Evidence for Bottom-Up Object Detection. | Nermin Samet, Samet Hicsonmez, Emre Akbas |
| 2020 | WACV | Generating Positive Bounding Boxes for Balanced Training of Object Detectors. | Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan |
| 2019 | CVPR | Self-Supervised Learning of 3D Human Pose Using Multi-View Geometry. | Muhammed Kocabas, Salih Karagoz, Emre Akbas |
| 2019 | ICAISC | Activity Learning from Lifelogging Images. | Kader Belli, Emre Akbas, Adnan Yazici |
| 2018 | ECCV | MultiPoseNet: Fast Multi-Person Pose Estimation Using Pose Residual Network. | Muhammed Kocabas, Salih Karagoz, Emre Akbas |
| 2018 | ECCV | Localization Recall Precision (LRP): A New Performance Metric for Object Detection. | Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan |
| 2010 | ACCV | Pedestrian Recognition with a Learned Metric. | Mert Dikmen, Emre Akbas, Thomas S. Huang, Narendra Ahuja |
| 2010 | ICPR | Low-Level Image Segmentation Based Scene Classification. | Emre Akbas, Narendra Ahuja |
| 2009 | ACCV | From Ramp Discontinuities to Segmentation Tree. | Emre Akbas, Narendra Ahuja |
| 2007 | CVPR | Automatic Image Annotation by Ensemble of Visual Descriptors. | Emre Akbas, Fatos T. Yarman-Vural |
| 2006 | ICIP | A Hierarchical Classification System Based on Adaptive Resonance Theory. | Mutlu Uysal, Emre Akbas, Fatos T. Yarman-Vural |