Mete Ozay

ORCID

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 81

Top Venues

Publications

Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay
Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. CoRR (2024)
Umberto Michieli, Mete Ozay
HOP to the Next Tasks and Domains for Continual Learning in NLP. CoRR (2024)
Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. ICASSP (2024)
Elena Camuffo, Umberto Michieli, Simone Milani, Jijoong Moon, Mete Ozay
Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. CoRR (2024)
Hayder Elesedy, Pedro M. Esperança, Silviu Vlad Oprea, Mete Ozay
LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models. CoRR (2024)
Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. MMSys (2024)
Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. CoRR (2024)
Jie Xu, Karthikeyan Saravanan, Rogier van Dalen, Haaris Mehmood, David Tuckey, Mete Ozay
DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. CoRR (2024)
Hasan Abed Al Kader Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay
Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. CoRR (2024)
Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay
Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains. CoRR (2024)
Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam
Dense depth distillation with out-of-distribution simulated images. Knowl. Based Syst. 284 (2024)
Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. ICASSP (2024)
Umberto Michieli, Mete Ozay
HOP to the Next Tasks and Domains for Continual Learning in NLP. AAAI (2024)
Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay
Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. ICASSP (2024)
Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. CoRR (2024)
Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay
A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. CoRR (2024)
Mete Ozay
Joint Embedding Learning and Latent Subspace Probing for Cross-Domain Few-Shot Keyword Spotting. ICASSP (2024)
Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. CoRR (2024)
Savas Özkan, Mete Ozay, Tom Robinson
Texture and Normal Map Estimation for 3D Face Reconstruction. ICASSP (2024)
Umberto Michieli, Pablo Peso Parada, Mete Ozay
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. CoRR (2023)
Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam
Deep Depth Completion From Extremely Sparse Data: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Md Asif Jalal, Pablo Peso Parada, Jisi Zhang, Karthikeyan Saravanan, Mete Ozay, Myoungji Han, Jungin Lee, Seokyeong Jung
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer. CoRR (2023)
Md Asif Jalal, Pablo Peso Parada, Jisi Zhang, Mete Ozay, Karthikeyan Saravanan, Myoungji Han, Jungin Lee, Seokyeong Jung
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer. INTERSPEECH (2023)
Umberto Michieli, Pablo Peso Parada, Mete Ozay
Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. INTERSPEECH (2023)
Shuang Liu, Mete Ozay
Task guided representation learning using compositional models for zero-shot domain adaptation. Neural Networks 165 (2023)
James Stewart, Umberto Michieli, Mete Ozay
Data-Free Model Pruning at Initialization via Expanders. CVPR Workshops (2023)
Umberto Michieli, Marco Toldo, Mete Ozay
Federated Learning via Attentive Margin of Semantic Feature Representations. IEEE Internet Things J. 10 (2) (2023)
Mehmet Kerim Yücel, Valia Dimaridou, Bruno Manganelli, Mete Ozay, Anastasios Drosou, Albert Saà-Garriga
LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal. WACV (2023)
Edward Fish, Umberto Michieli, Mete Ozay
A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization. INTERSPEECH (2023)
Umberto Michieli, Mete Ozay
Online Continual Learning for Robust Indoor Object Recognition. IROS (2023)
Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Mete Ozay
Adversarial Attacks and Defense Methods for Power Quality Recognition. CoRR (2022)
Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Bowen Ma, Mete Ozay
Exploring Targeted and Stealthy False Data Injection Attacks via Adversarial Machine Learning. IEEE Internet Things J. 9 (15) (2022)
Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam
Data-free Dense Depth Distillation. CoRR (2022)
Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey
A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping. CoRR (2022)
Pablo Peso Parada, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay
pMCT: Patched Multi-Condition Training for Robust Speech Recognition. INTERSPEECH (2022)
Bobby He, Mete Ozay
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning. ICML (2022)
Bobby He, Mete Ozay
Feature Kernel Distillation. ICLR (2022)
Marco Toldo, Mete Ozay
Bring Evanescent Representations to Life in Lifelong Class Incremental Learning. CVPR (2022)
Haaris Mehmood, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay
FedNST: Federated Noisy Student Training for Automatic Speech Recognition. CoRR (2022)
Pablo Peso Parada, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay
pMCT: Patched Multi-Condition Training for Robust Speech Recognition. CoRR (2022)
Jiwei Tian, Buhong Wang, Zhen Wang, Kunrui Cao, Jing Li, Mete Ozay
Joint Adversarial Example and False Data Injection Attacks for State Estimation in Power Systems. IEEE Trans. Cybern. 52 (12) (2022)
Haaris Mehmood, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay
FedNST: Federated Noisy Student Training for Automatic Speech Recognition. INTERSPEECH (2022)
Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam
Deep Depth Completion: A Survey. CoRR (2022)
Piotr Kicki, Piotr Skrzypczynski, Mete Ozay
A New Approach to Design Symmetry Invariant Neural Networks. IJCNN (2021)
Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey
A Mixed Quantization Network for Efficient Mobile Inverse Tone Mapping. BMVC (2021)
Shuang Liu, Mete Ozay
Task Guided Compositional Representation Learning for ZDA. CoRR (2021)
Umberto Michieli, Mete Ozay
Are All Users Treated Fairly in Federated Learning Systems? CVPR Workshops (2021)
Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski
Learning from experience for rapid generation of local car maneuvers. Eng. Appl. Artif. Intell. 105 (2021)
Umberto Michieli, Mete Ozay
Prototype Guided Federated Learning of Visual Feature Representations. CoRR (2021)
Piotr Kicki, Mete Ozay, Piotr Skrzypczynski
A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups. CoRR (2020)
Piotr Kicki, Mete Ozay, Piotr Skrzypczynski
A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups. CoRR (2020)
Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski
Learning from Experience for Rapid Generation of Local Car Maneuvers. CoRR (2020)
Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries. WACV (2019)
Jiwei Tian, Tengyao Li, Fute Shang, Kunrui Cao, Jing Li, Mete Ozay
Adaptive Normalized Attacks for Learning Adversarial Attacks and Defenses in Power Systems. SmartGridComm (2019)
Mete Ozay
Fine-grained Optimization of Deep Neural Networks. CoRR (2019)
Mete Ozay
Fine-grained Optimization of Deep Neural Networks. NeurIPS (2019)
Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. CoRR (2019)
Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin
Detection and Pose Estimation for Short-Range Vision-Based Underwater Docking. IEEE Access 7 (2019)
Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani
Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. FG (2019)
Masanori Suganuma, Mete Ozay, Takayuki Okatani
Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. ICML (2018)
Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani
Feature Quantization for Defending Against Distortion of Images. CVPR (2018)
Fazil Altinel, Mete Ozay, Takayuki Okatani
Deep Structured Energy-Based Image Inpainting. CoRR (2018)
Fazil Altinel, Mete Ozay, Takayuki Okatani
Deep Structured Energy-Based Image Inpainting. ICPR (2018)
Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani
Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries. CoRR (2018)
Zhun Sun, Mete Ozay, Takayuki Okatani
Linear Discriminant Generative Adversarial Networks. CoRR (2017)
Mete Ozay, Takayuki Okatani
Optimization on Product Submanifolds of Convolution Kernels. CoRR (2017)
Yan Zhang, Mete Ozay, Zhun Sun, Takayuki Okatani
Information Potential Auto-Encoders. CoRR (2017)
Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos Tünay Yarman Vural
A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. IEEE Trans. Signal Inf. Process. over Networks 3 (4) (2017)
Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani
Truncating Wide Networks Using Binary Tree Architectures. ICCV (2017)
Zhun Sun, Mete Ozay, Takayuki Okatani
HyperNetworks with statistical filtering for defending adversarial examples. CoRR (2017)
Zhun Sun, Mete Ozay, Takayuki Okatani
Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs. CoRR (2017)
Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani
Truncating Wide Networks using Binary Tree Architectures. CoRR (2017)
Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin
A vision based system for underwater docking. CoRR (2017)
Yan Zhang, Mete Ozay, Xing Liu, Takayuki Okatani
Integrating deep features for material recognition. ICPR (2016)
Itir Önal, Mete Ozay, Fatos Tünay Yarman Vural
A Hierarchical Multi-resolution Mesh Network for Brain Decoding. CoRR (2016)
Mete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. 27 (8) (2016)
Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos T. Yarman-Vural
Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. CoRR (2016)
Mete Ozay, Fatos Tünay Yarman Vural
Hierarchical distance learning by stacking nearest neighbor classifiers. Inf. Fusion 29 (2016)
Zhun Sun, Mete Ozay, Takayuki Okatani
Design of Kernels in Convolutional Neural Networks for Image Classification. ECCV (7) (2016)
Mete Ozay, Takayuki Okatani
Optimization on Submanifolds of Convolution Kernels in CNNs. CoRR (2016)
Itir Önal Ertugrul, Mete Ozay, Fatos T. Yarman-Vural
Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. CoRR (2016)
Itir Önal, Mete Ozay, Fatos T. Yarman-Vural
Functional Mesh Model with Temporal Measurements for brain decoding. EMBC (2015)
Mete Ozay
Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images. CoRR (2015)
Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural
Bilişsel durum analizi i~in beyin Aği modeli. SIU (2015)
Yan Zhang, Mete Ozay, Xing Liu, Takayuki Okatani
Integrating Deep Features for Material Recognition. CoRR (2015)
Itir Önal, Mete Ozay, Fatos T. Yarman-Vural
Modeling Voxel Connectivity for Brain Decoding. PRNI (2015)
Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR (2015)
Mete Ozay, Ümit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis
Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. ICCV (2015)
Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR (2015)
Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. CoRR (2015)
Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural
Functional networks of anatomic brain regions. ICCI*CC (2014)
Mete Ozay, Krzysztof Walas, Ales Leonardis
A hierarchical approach for joint multi-view object pose estimation and categorization. ICRA (2014)
Mete Ozay
Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images. ICPR (2014)
Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural
Estimating brain connectivity for pattern analysis. SIU (2014)
Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt
A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. ECCV (3) (2014)
Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural
Modeling the Brain Connectivity for Pattern Analysis. ICPR (2014)
Omer Ekmekci, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural, Uygar Öztekin
Mesh learning for object classification using fMRI measurements. ICIP (2013)
Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
Fusion of image segmentation algorithms using consensus clustering. ICIP (2013)
Çaglar Senaras, Mete Ozay, Fatos T. Yarman-Vural
Building Detection With Decision Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 6 (3) (2013)
Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos T. Yarman-Vural
Functional Mesh Learning for pattern analysis of cognitive processes. ICCI*CC (2013)

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Publication Activity (10 Years)

Top Topics

Top Venues

Mete Ozay