Ozay, Mete

19 publications

CVPR 2025 Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation Andrea Maracani, Savas Ozkan, Sijun Cho, Hyowon Kim, Eunchung Noh, Jeongwon Min, Cho Jung Min, Dookun Park, Mete Ozay
CVPR 2025 DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli
ICCV 2025 LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation Donald Shenaj, Ondrej Bohdal, Mete Ozay, Pietro Zanuttigh, Umberto Michieli
AAAI 2024 HOP to the Next Tasks and Domains for Continual Learning in NLP Umberto Michieli, Mete Ozay
ICCV 2023 Conceptual and Hierarchical Latent Space Decomposition for Face Editing Savas Ozkan, Mete Ozay, Tom Robinson
CVPRW 2023 Data-Free Model Pruning at Initialization via Expanders James Stewart, Umberto Michieli, Mete Ozay
WACV 2023 LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal Mehmet Kerim Yücel, Valia Dimaridou, Bruno Manganelli, Mete Ozay, Anastasios Drosou, Albert Saà-Garriga
CVPR 2022 Bring Evanescent Representations to Life in Lifelong Class Incremental Learning Marco Toldo, Mete Ozay
ICML 2022 Exploring the Gap Between Collapsed & Whitened Features in Self-Supervised Learning Bobby He, Mete Ozay
ICLR 2022 Feature Kernel Distillation Bobby He, Mete Ozay
CVPRW 2021 Are All Users Treated Fairly in Federated Learning Systems? Umberto Michieli, Mete Ozay
NeurIPS 2019 Fine-Grained Optimization of Deep Neural Networks Mete Ozay
WACV 2019 Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani
ICML 2018 Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search Masanori Suganuma, Mete Ozay, Takayuki Okatani
AAAI 2018 Training CNNs with Normalized Kernels Mete Özay, Takayuki Okatani
ICCV 2017 Truncating Wide Networks Using Binary Tree Architectures Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani
ECCV 2016 Design of Kernels in Convolutional Neural Networks for Image Classification Zhun Sun, Mete Ozay, Takayuki Okatani
ICCV 2015 Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-Manifold Shapes Mete Ozay, Umit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis
ECCV 2014 A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt