| 2026 | ACL | Decoding Text Spans for Efficient and Accurate Named-Entity Recognition. | Andrea Maracani, Savas zkan, Junyi Zhu, Sinan Mutlu, Mete Ozay |
| 2026 | WACV | Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs. | Sinan Mutlu, Georgios-Fotios Angelis, Savas zkan, Paul Wisbey, Anastasios Drosou, Mete Ozay |
| 2026 | WACV | Guided Model Merging for Hybrid Data Learning: Leveraging Centralized Data to Refine Decentralized Models. | Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas zkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay |
| 2025 | CVPR | Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation. | Andrea Maracani, Savas zkan, Sijun Cho, Hyowon Kim, Eunchung Noh, Jeongwon Min, Cho Jung Min, Dookun Park, Mete Ozay |
| 2025 | EMNLP | Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER. | Junyi Zhu, Savas zkan, Andrea Maracani, Sinan Mutlu, Cho Jung Min, Mete Ozay |
| 2025 | ICASSP | A Study of Improving The Privacy-Utility Trade-off of Task-specific Models with Learnable Privacy. | Savas zkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay |
| 2025 | ICASSP | Hyper-Refinement for Low-Rank Adaptation. | Savas zkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay |
| 2025 | MMSys | Efficient and Accurate Scene Text Recognition with Cascaded-Transformers. | Savas zkan, Andrea Maracani, Mete Ozay, Hyowon Kim, Sijun Cho, Eunchung Noh, Jeongwon Min, Jung Min Cho |
| 2024 | EMNLP | A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune. | Taha Ceritli, Savas zkan, Jeongwon Min, Eunchung Noh, Cho Min, Mete Ozay |
| 2024 | ICASSP | Texture and Normal Map Estimation for 3D Face Reconstruction. | Savas zkan, Mete Ozay, Tom Robinson |
| 2024 | ICIP | Towards Better Control Of Latent Spaces For Face Editing. | Savas zkan, Mete zay |
| 2023 | ICCV | Conceptual and Hierarchical Latent Space Decomposition for Face Editing. | Savas zkan, Mete zay, Tom Robinson |
| 2020 | ICPR | Exploiting Local Indexing and Deep Feature Confidence Scores for Fast Image-to-Video Search. | Savas zkan, Gozde Bozdagi Akar |
| 2019 | CVPR | Hyperspectral Data to Relative Lidar Depth: An Inverse Problem for Remote Sensing. | Savas zkan, Gozde Bozdagi Akar |
| 2018 | ICIP | Deep Spectral Convolution Network for Hyperspectral Unmixing. | Savas zkan, Gozde Bozdagi Akar |
| 2018 | ICIP | Kinshipgan: Synthesizing of Kinship Faces from Family Photos by Regularizing a Deep Face Network. | Savas zkan, Akin Orkan |
| 2018 | IGARSS | Cloud Detection from RGB Color Remote Sensing Images with Deep Pyramid Networks. | Savas zkan, Mehmet Efendioglu, Caner Demirpolat |
| 2016 | ECCV | Towards Category Based Large-Scale Image Retrieval Using Transductive Support Vector Machines. | Hakan Cevikalp, Merve Elmas, Savas zkan |
| 2014 | CBMI | Detecting image communities. | Ersin Esen, Savas zkan, Ilkay Atil, Mehmet Ali Arabaci, Seda Tankiz |
| 2014 | ICIP | Enhanced spatio-temporal video copy detection by combining trajectory and spatial consistency. | Savas zkan, Ersin Esen, Gozde Bozdagi Akar |
| 2014 | ICPR | Visual Group Binary Signature for Video Copy Detection. | Savas zkan, Ersin Esen, Gozde Bozdagi Akar |