Mete Ozay - RankMe

160 papers A* 15A 15B 9C 2Misc 10Journal 85Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Clustering-driven Memory Compression for On-device Large Language Models. CoRR Ondrej Bohdal, Pramit Saha, Umberto Michieli, Mete Ozay, Taha Ceritli
2026	J	`jnl`	Data-driven Clustering and Merging of Adapters for On-device Large Language Models. CoRR Ondrej Bohdal, Taha Ceritli, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2026	J	`jnl`	Diffusion Alignment Beyond KL: Variance Minimisation as Effective Policy Optimiser. CoRR Zijing Ou, Jacob Si, Junyi Zhu, Ondrej Bohdal, Mete Ozay, Taha Ceritli, Yingzhen Li
2026	J	`jnl`	Feature-Space Generative Models for One-Shot Class-Incremental Learning. CoRR Jack Foster, Kirill Paramonov, Mete Ozay, Umberto Michieli
2025	Misc	`conf`	A Study of Improving The Privacy-Utility Trade-off of Task-specific Models with Learnable Privacy. ICASSP Savas Özkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay
2025	A*	`conf`	Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation. CVPR Andrea Maracani, Savas Özkan, Sijun Cho, Hyowon Kim, Eunchung Noh, Jeongwon Min, Cho Jung Min, Dookun Park, Mete Ozay
2025	J	`jnl`	Accurate Scene Text Recognition with Efficient Model Scaling and Cloze Self-Distillation. CoRR Andrea Maracani, Savas Özkan, Sijun Cho, Hyowon Kim, Eunchung Noh, Jeongwon Min, Cho Jung Min, Dookun Park, Mete Ozay
2025	J	`jnl`	CG-TTRL: Context-Guided Test-Time Reinforcement Learning for On-Device Large Language Models. CoRR Peyman Hosseini, Ondrej Bohdal, Taha Ceritli, Ignacio Castro, Matthew Purver, Mete Ozay, Umberto Michieli
2025	A	`conf`	Continual Error Correction on Low-Resource Devices. MMSys Kirill Paramonov, Mete Ozay, Aristeidis Mystakidis, Nikolaos Tsalikidis, Dimitrios Sotos, Anastasios Drosou, Dimitrios Tzovaras, Hyunjun Kim, Kiseok Chang, Sangdok Mo, Namwoong Kim, Woojong Yoo, Ji Joong Moon, Umberto Michieli
2025	J	`jnl`	Continual Error Correction on Low-Resource Devices. CoRR Kirill Paramonov, Mete Ozay, Aristeidis Mystakidis, Nikolaos Tsalikidis, Dimitrios Sotos, Anastasios Drosou, Dimitrios Tzovaras, Hyunjun Kim, Kiseok Chang, Sangdok Mo, Namwoong Kim, Woojong Yoo, Jijoong Moon, Umberto Michieli
2025	Misc	`conf`	Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning. ICASSP Kirill Paramonov, Mete Ozay, Eunju Yang, Jijoong Moon, Umberto Michieli
2025	J	`jnl`	Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning. CoRR Kirill Paramonov, Mete Ozay, Eunju Yang, Jijoong Moon, Umberto Michieli
2025	A*	`conf`	DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. CVPR Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli
2025	J	`jnl`	Efficient 3D Full-Body Motion Generation from Sparse Tracking Inputs with Temporal Windows. CoRR Georgios-Fotios Angelis, Savas Özkan, Sinan Mutlu, Paul Wisbey, Anastasios Drosou, Mete Ozay
2025	A*	`conf`	Efficient Compositional Multi-tasking for On-device Large Language Models. EMNLP Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2025	J	`jnl`	Efficient Compositional Multi-tasking for On-device Large Language Models. CoRR Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2025	A	`conf`	Efficient and Accurate Scene Text Recognition with Cascaded-Transformers. MMSys Savas Özkan, Andrea Maracani, Mete Ozay, Hyowon Kim, Sijun Cho, Eunchung Noh, Jeongwon Min, Jung Min Cho
2025	J	`jnl`	Efficient and Accurate Scene Text Recognition with Cascaded-Transformers. CoRR Savas Özkan, Andrea Maracani, Hyowon Kim, Sijun Cho, Eunchung Noh, Jeongwon Min, Jung Min Cho, Mete Ozay
2025	A*	`conf`	HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. EMNLP Taha Ceritli, Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2025	J	`jnl`	HydraOpt: Navigating the Efficiency-Performance Trade-off of Adapter Merging. CoRR Taha Ceritli, Ondrej Bohdal, Mete Ozay, Jijoong Moon, Kyeng-Hun Lee, Hyeonmok Ko, Umberto Michieli
2025	Misc	`conf`	Hyper-Refinement for Low-Rank Adaptation. ICASSP Savas Özkan, Taha Ceritli, Jeongwon Min, Eunchung Noh, Jung Min Cho, Dookun Park, Mete Ozay
2025	J	`jnl`	K-Merge: Online Continual Merging of Adapters for On-device Large Language Models. CoRR Donald Shenaj, Ondrej Bohdal, Taha Ceritli, Mete Ozay, Pietro Zanuttigh, Umberto Michieli
2025	J	`jnl`	MOCHA: Multi-modal Objects-aware Cross-arcHitecture Alignment. CoRR Elena Camuffo, Francesco Barbato, Mete Ozay, Simone Milani, Umberto Michieli
2025	J	`jnl`	Mem-MLP: Real-Time 3D Human Motion Generation from Sparse Inputs. CoRR Sinan Mutlu, Georgios-Fotios Angelis, Savas Özkan, Paul Wisbey, Anastasios Drosou, Mete Ozay
2025	J	`jnl`	MemLoRA: Distilling Expert Adapters for On-Device Memory Systems. CoRR Massimo Bini, Ondrej Bohdal, Umberto Michieli, Zeynep Akata, Mete Ozay, Taha Ceritli
2025	—	`conf`	Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER. EMNLP (Industry Track) Junyi Zhu, Savas Özkan, Andrea Maracani, Sinan Mutlu, Cho Jung Min, Mete Ozay
2025	J	`jnl`	Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER. CoRR Junyi Zhu, Savas Özkan, Andrea Maracani, Sinan Mutlu, Cho Jung Min, Mete Ozay
2025	—	`conf`	On-device System of Compositional Multi-tasking in Large Language Models. EMNLP (Industry Track) Ondrej Bohdal, Konstantinos Theodosiadis, Asterios Mpatziakas, Dimitrios Filippidis, Iro Spyrou, Christos Zonios, Anastasios Drosou, Dimosthenis Ioannidis, Kyeng-Hun Lee, Jijoong Moon, Hyeonmok Ko, Mete Ozay, Umberto Michieli
2025	J	`jnl`	On-device System of Compositional Multi-tasking in Large Language Models. CoRR Ondrej Bohdal, Konstantinos Theodosiadis, Asterios Mpatziakas, Dimitris Filippidis, Iro Spyrou, Christos Zonios, Anastasios Drosou, Dimosthenis Ioannidis, Kyeng-Hun Lee, Jijoong Moon, Hyeonmok Ko, Mete Ozay, Umberto Michieli
2025	J	`jnl`	Robust Depth Estimation Under Sensor Degradations: A Multi-Sensor Fusion Perspective. IEEE Trans. Pattern Anal. Mach. Intell. Junjie Hu, Chenyou Fan, Mete Ozay, Qing Gao, Yulan Guo, Tin Lun Lam
2025	J	`jnl`	Unlocking Drone Perception in Low AGL Heights: Progressive Semi-Supervised Learning for Ground-to-Aerial Perception Knowledge Transfer. IEEE Trans. Intell. Transp. Syst. Junjie Hu, Chenyou Fan, Mete Ozay, Hua Feng, Yuan Gao, Tin Lun Lam
2025	J	`jnl`	Unlocking the Value of Decentralized Data: A Federated Dual Learning Approach for Model Aggregation. CoRR Junyi Zhu, Ruicong Yao, Taha Ceritli, Savas Özkan, Matthew B. Blaschko, Eunchung Noh, Jeongwon Min, Cho Jung Min, Mete Ozay
2025	Misc	`conf`	ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization. ICASSP Haaris Mehmood, Karthikeyan Saravanan, Pablo Peso Parada, David Tuckey, Mete Ozay, Gil Ho Lee, Jungin Lee, Seokyeong Jung
2025	J	`jnl`	ValSub: Subsampling Validation Data to Mitigate Forgetting during ASR Personalization. CoRR Haaris Mehmood, Karthikeyan Saravanan, Pablo Peso Parada, David Tuckey, Mete Ozay, Gil Ho Lee, Jungin Lee, Seokyeong Jung
2025	Misc	`conf`	persoDA: Personalized Data Augmentation for Personalized ASR. ICASSP Pablo Peso Parada, Spyros Fontalis, Md Asif Jalal, Karthikeyan Saravanan, Anastasios Drosou, Mete Ozay, Gil Ho Lee, Jungin Lee, Seokyeong Jung
2025	J	`jnl`	persoDA: Personalized Data Augmentation for Personalized ASR. CoRR Pablo Peso Parada, Spyros Fontalis, Md Asif Jalal, Karthikeyan Saravanan, Anastasios Drosou, Mete Ozay, Gil Ho Lee, Jungin Lee, Seokyeong Jung
2024	A	`conf`	A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. MMSys Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay
2024	J	`jnl`	A Modular System for Enhanced Robustness of Multimedia Understanding Networks via Deep Parametric Estimation. CoRR Francesco Barbato, Umberto Michieli, Mehmet Kerim Yucel, Pietro Zanuttigh, Mete Ozay
2024	—	`conf`	A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune. EMNLP (Findings) Taha Ceritli, Savas Özkan, Jeongwon Min, Eunchung Noh, Cho Min, Mete Ozay
2024	A	`conf`	Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. IROS Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay
2024	J	`jnl`	Cross-Architecture Auxiliary Feature Space Translation for Efficient Few-Shot Personalized Object Detection. CoRR Francesco Barbato, Umberto Michieli, Jijoong Moon, Pietro Zanuttigh, Mete Ozay
2024	J	`jnl`	DP-DyLoRA: Fine-Tuning Transformer-Based Models On-Device under Differentially Private Federated Learning using Dynamic Low-Rank Adaptation. CoRR Jie Xu, Karthikeyan Saravanan, Rogier van Dalen, Haaris Mehmood, David Tuckey, Mete Ozay
2024	J	`jnl`	Deep Neural Network Models Trained With A Fixed Random Classifier Transfer Better Across Domains. CoRR Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay
2024	Misc	`conf`	Deep Neural Network Models Trained with a Fixed Random Classifier Transfer Better Across Domains. ICASSP Hafiz Tiomoko Ali, Umberto Michieli, Ji Joong Moon, Daehyun Kim, Mete Ozay
2024	J	`jnl`	Dense depth distillation with out-of-distribution simulated images. Knowl. Based Syst. Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam
2024	J	`jnl`	DreamCache: Finetuning-Free Lightweight Personalized Image Generation via Feature Caching. CoRR Emanuele Aiello, Umberto Michieli, Diego Valsesia, Mete Ozay, Enrico Magli
2024	A	`conf`	Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. IROS Elena Camuffo, Umberto Michieli, Simone Milani, Jijoong Moon, Mete Ozay
2024	J	`jnl`	Enhanced Model Robustness to Input Corruptions by Per-corruption Adaptation of Normalization Statistics. CoRR Elena Camuffo, Umberto Michieli, Simone Milani, Jijoong Moon, Mete Ozay
2024	Misc	`conf`	FFT-Based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. ICASSP Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
2024	J	`jnl`	FFT-based Selection and Optimization of Statistics for Robust Recognition of Severely Corrupted Images. CoRR Elena Camuffo, Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
2024	A*	`conf`	HOP to the Next Tasks and Domains for Continual Learning in NLP. AAAI Umberto Michieli, Mete Ozay
2024	J	`jnl`	HOP to the Next Tasks and Domains for Continual Learning in NLP. CoRR Umberto Michieli, Mete Ozay
2024	Misc	`conf`	Joint Embedding Learning and Latent Subspace Probing for Cross-Domain Few-Shot Keyword Spotting. ICASSP Mete Ozay
2024	A*	`conf`	LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models. EMNLP Hayder Elesedy, Pedro M. Esperança, Silviu Vlad Oprea, Mete Ozay
2024	J	`jnl`	LoRA-Guard: Parameter-Efficient Guardrail Adaptation for Content Moderation of Large Language Models. CoRR Hayder Elesedy, Pedro M. Esperança, Silviu Vlad Oprea, Mete Ozay
2024	J	`jnl`	LoRA.rar: Learning to Merge LoRAs via Hypernetworks for Subject-Style Conditioned Image Generation. CoRR Donald Shenaj, Ondrej Bohdal, Mete Ozay, Pietro Zanuttigh, Umberto Michieli
2024	—	`conf`	Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. EMNLP (Findings) Hasan Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay
2024	J	`jnl`	Model Merging and Safety Alignment: One Bad Model Spoils the Bunch. CoRR Hasan Abed Al Kader Hammoud, Umberto Michieli, Fabio Pizzati, Philip Torr, Adel Bibi, Bernard Ghanem, Mete Ozay
2024	Misc	`conf`	Object-Conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. ICASSP Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
2024	J	`jnl`	Object-conditioned Bag of Instances for Few-Shot Personalized Instance Recognition. CoRR Umberto Michieli, Jijoong Moon, Daehyun Kim, Mete Ozay
2024	J	`jnl`	Randomized Asymmetric Chain of LoRA: The First Meaningful Theoretical Framework for Low-Rank Adaptation. CoRR Grigory Malinovsky, Umberto Michieli, Hasan Abed Al Kader Hammoud, Taha Ceritli, Hayder Elesedy, Mete Ozay, Peter Richtárik
2024	A	`conf`	Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. IROS Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay
2024	J	`jnl`	Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search. CoRR Kirill Paramonov, Jia-Xing Zhong, Umberto Michieli, Jijoong Moon, Mete Ozay
2024	Misc	`conf`	Texture and Normal Map Estimation for 3D Face Reconstruction. ICASSP Savas Özkan, Mete Ozay, Tom Robinson
2023	A	`conf`	A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization. INTERSPEECH Edward Fish, Umberto Michieli, Mete Ozay
2023	—	`conf`	Data-Free Model Pruning at Initialization via Expanders. CVPR Workshops James Stewart, Umberto Michieli, Mete Ozay
2023	J	`jnl`	Deep Depth Completion From Extremely Sparse Data: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam
2023	J	`jnl`	Federated Learning via Attentive Margin of Semantic Feature Representations. IEEE Internet Things J. Umberto Michieli, Marco Toldo, Mete Ozay
2023	A	`conf`	LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal. WACV Mehmet Kerim Yücel, Valia Dimaridou, Bruno Manganelli, Mete Ozay, Anastasios Drosou, Albert Saà-Garriga
2023	A	`conf`	On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer. INTERSPEECH Md Asif Jalal, Pablo Peso Parada, Jisi Zhang, Mete Ozay, Karthikeyan Saravanan, Myoungji Han, Jungin Lee, Seokyeong Jung
2023	J	`jnl`	On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer. CoRR Md Asif Jalal, Pablo Peso Parada, Jisi Zhang, Karthikeyan Saravanan, Mete Ozay, Myoungji Han, Jungin Lee, Seokyeong Jung
2023	A	`conf`	Online Continual Learning for Robust Indoor Object Recognition. IROS Umberto Michieli, Mete Ozay
2023	A	`conf`	Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. INTERSPEECH Umberto Michieli, Pablo Peso Parada, Mete Ozay
2023	J	`jnl`	Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics. CoRR Umberto Michieli, Pablo Peso Parada, Mete Ozay
2023	J	`jnl`	Task guided representation learning using compositional models for zero-shot domain adaptation. Neural Networks Shuang Liu, Mete Ozay
2022	J	`jnl`	A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping. CoRR Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey
2022	J	`jnl`	Adversarial Attacks and Defense Methods for Power Quality Recognition. CoRR Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Mete Ozay
2022	A*	`conf`	Bring Evanescent Representations to Life in Lifelong Class Incremental Learning. CVPR Marco Toldo, Mete Ozay
2022	J	`jnl`	Data-free Dense Depth Distillation. CoRR Junjie Hu, Chenyou Fan, Mete Ozay, Hualie Jiang, Tin Lun Lam
2022	J	`jnl`	Deep Depth Completion: A Survey. CoRR Junjie Hu, Chenyu Bao, Mete Ozay, Chenyou Fan, Qing Gao, Honghai Liu, Tin Lun Lam
2022	J	`jnl`	Exploring Targeted and Stealthy False Data Injection Attacks via Adversarial Machine Learning. IEEE Internet Things J. Jiwei Tian, Buhong Wang, Jing Li, Zhen Wang, Bowen Ma, Mete Ozay
2022	A*	`conf`	Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning. ICML Bobby He, Mete Ozay
2022	A*	`conf`	Feature Kernel Distillation. ICLR Bobby He, Mete Ozay
2022	A	`conf`	FedNST: Federated Noisy Student Training for Automatic Speech Recognition. INTERSPEECH Haaris Mehmood, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay
2022	J	`jnl`	FedNST: Federated Noisy Student Training for Automatic Speech Recognition. CoRR Haaris Mehmood, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay
2022	J	`jnl`	Joint Adversarial Example and False Data Injection Attacks for State Estimation in Power Systems. IEEE Trans. Cybern. Jiwei Tian, Buhong Wang, Zhen Wang, Kunrui Cao, Jing Li, Mete Ozay
2022	A	`conf`	pMCT: Patched Multi-Condition Training for Robust Speech Recognition. INTERSPEECH Pablo Peso Parada, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay
2022	J	`jnl`	pMCT: Patched Multi-Condition Training for Robust Speech Recognition. CoRR Pablo Peso Parada, Agnieszka Dobrowolska, Karthikeyan Saravanan, Mete Ozay
2021	A	`conf`	A Mixed Quantization Network for Efficient Mobile Inverse Tone Mapping. BMVC Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey
2021	B	`conf`	A New Approach to Design Symmetry Invariant Neural Networks. IJCNN Piotr Kicki, Piotr Skrzypczynski, Mete Ozay
2021	—	`conf`	Are All Users Treated Fairly in Federated Learning Systems? CVPR Workshops Umberto Michieli, Mete Ozay
2021	J	`jnl`	Learning from experience for rapid generation of local car maneuvers. Eng. Appl. Artif. Intell. Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski
2021	J	`jnl`	Prototype Guided Federated Learning of Visual Feature Representations. CoRR Umberto Michieli, Mete Ozay
2021	J	`jnl`	Task Guided Compositional Representation Learning for ZDA. CoRR Shuang Liu, Mete Ozay
2020	J	`jnl`	A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups. CoRR Piotr Kicki, Mete Ozay, Piotr Skrzypczynski
2020	J	`jnl`	A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups. CoRR Piotr Kicki, Mete Ozay, Piotr Skrzypczynski
2020	J	`jnl`	Learning from Experience for Rapid Generation of Local Car Maneuvers. CoRR Piotr Kicki, Tomasz Gawron, Krzysztof Cwian, Mete Ozay, Piotr Skrzypczynski
2019	—	`conf`	Adaptive Normalized Attacks for Learning Adversarial Attacks and Defenses in Power Systems. SmartGridComm Jiwei Tian, Tengyao Li, Fute Shang, Kunrui Cao, Jing Li, Mete Ozay
2019	J	`jnl`	Detection and Pose Estimation for Short-Range Vision-Based Underwater Docking. IEEE Access Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin
2019	A*	`conf`	Fine-grained Optimization of Deep Neural Networks. NeurIPS Mete Ozay
2019	J	`jnl`	Fine-grained Optimization of Deep Neural Networks. CoRR Mete Ozay
2019	B	`conf`	Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. FG Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani
2019	J	`jnl`	Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment. CoRR Mingzhen Shao, Zhun Sun, Mete Ozay, Takayuki Okatani
2019	A	`conf`	Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries. WACV Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani
2018	B	`conf`	Deep Structured Energy-Based Image Inpainting. ICPR Fazil Altinel, Mete Ozay, Takayuki Okatani
2018	J	`jnl`	Deep Structured Energy-Based Image Inpainting. CoRR Fazil Altinel, Mete Ozay, Takayuki Okatani
2018	A*	`conf`	Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search. ICML Masanori Suganuma, Mete Ozay, Takayuki Okatani
2018	A*	`conf`	Feature Quantization for Defending Against Distortion of Images. CVPR Zhun Sun, Mete Ozay, Yan Zhang, Xing Liu, Takayuki Okatani
2018	J	`jnl`	Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries. CoRR Junjie Hu, Mete Ozay, Yan Zhang, Takayuki Okatani
2017	J	`jnl`	A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding. IEEE Trans. Signal Inf. Process. over Networks Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos Tünay Yarman Vural
2017	J	`jnl`	A vision based system for underwater docking. CoRR Shuang Liu, Mete Ozay, Takayuki Okatani, Hongli Xu, Kai Sun, Yang Lin
2017	J	`jnl`	HyperNetworks with statistical filtering for defending adversarial examples. CoRR Zhun Sun, Mete Ozay, Takayuki Okatani
2017	J	`jnl`	Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs. CoRR Zhun Sun, Mete Ozay, Takayuki Okatani
2017	J	`jnl`	Information Potential Auto-Encoders. CoRR Yan Zhang, Mete Ozay, Zhun Sun, Takayuki Okatani
2017	J	`jnl`	Linear Discriminant Generative Adversarial Networks. CoRR Zhun Sun, Mete Ozay, Takayuki Okatani
2017	J	`jnl`	Optimization on Product Submanifolds of Convolution Kernels. CoRR Mete Ozay, Takayuki Okatani
2017	A*	`conf`	Truncating Wide Networks Using Binary Tree Architectures. ICCV Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani
2017	J	`jnl`	Truncating Wide Networks using Binary Tree Architectures. CoRR Yan Zhang, Mete Ozay, Shuohao Li, Takayuki Okatani
2016	J	`jnl`	A Hierarchical Multi-resolution Mesh Network for Brain Decoding. CoRR Itir Önal, Mete Ozay, Fatos Tünay Yarman Vural
2016	—	`conf`	Design of Kernels in Convolutional Neural Networks for Image Classification. ECCV (7) Zhun Sun, Mete Ozay, Takayuki Okatani
2016	J	`jnl`	Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification. CoRR Itir Önal Ertugrul, Mete Ozay, Fatos T. Yarman-Vural
2016	J	`jnl`	Hierarchical distance learning by stacking nearest neighbor classifiers. Inf. Fusion Mete Ozay, Fatos Tünay Yarman Vural
2016	B	`conf`	Integrating deep features for material recognition. ICPR Yan Zhang, Mete Ozay, Xing Liu, Takayuki Okatani
2016	J	`jnl`	Machine Learning Methods for Attack Detection in the Smart Grid. IEEE Trans. Neural Networks Learn. Syst. Mete Ozay, Inaki Esnaola, Fatos Tünay Yarman Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2016	J	`jnl`	Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding. CoRR Itir Onal, Mete Ozay, Eda Mizrak, Ilke Öztekin, Fatos T. Yarman-Vural
2016	J	`jnl`	Optimization on Submanifolds of Convolution Kernels in CNNs. CoRR Mete Ozay, Takayuki Okatani
2015	J	`jnl`	A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. CoRR Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt
2015	—	`conf`	Bilişsel durum analizi i~in beyin Aği modeli. SIU Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural
2015	A*	`conf`	Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes. ICCV Mete Ozay, Ümit Rusen Aktas, Jeremy L. Wyatt, Ales Leonardis
2015	—	`conf`	Functional Mesh Model with Temporal Measurements for brain decoding. EMBC Itir Önal, Mete Ozay, Fatos T. Yarman-Vural
2015	J	`jnl`	Fusion of Image Segmentation Algorithms using Consensus Clustering. CoRR Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2015	J	`jnl`	Integrating Deep Features for Material Recognition. CoRR Yan Zhang, Mete Ozay, Xing Liu, Takayuki Okatani
2015	—	`conf`	Modeling Voxel Connectivity for Brain Decoding. PRNI Itir Önal, Mete Ozay, Fatos T. Yarman-Vural
2015	J	`jnl`	Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images. CoRR Mete Ozay
2015	J	`jnl`	Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. CoRR Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2014	—	`conf`	A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model. ECCV (3) Ümit Rusen Aktas, Mete Ozay, Ales Leonardis, Jeremy L. Wyatt
2014	A*	`conf`	A hierarchical approach for joint multi-view object pose estimation and categorization. ICRA Mete Ozay, Krzysztof Walas, Ales Leonardis
2014	—	`conf`	Estimating brain connectivity for pattern analysis. SIU Itir Önal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Like Oztekin, Fatos T. Yarman-Vural
2014	—	`conf`	Functional networks of anatomic brain regions. ICCI*CC Burak Velioglu, Emre Aksan, Itir Onal, Orhan Firat, Mete Ozay, Fatos T. Yarman-Vural
2014	B	`conf`	Modeling the Brain Connectivity for Pattern Analysis. ICPR Itir Onal, Emre Aksan, Burak Velioglu, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural
2014	B	`conf`	Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images. ICPR Mete Ozay
2013	C	`conf`	An information theoretic approach to classify cognitive states using fMRI. BIBE Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural
2013	—	`conf`	Analyzing the information distribution in the fMRI measurements by estimating the degree of locality. EMBC Itir Onal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos Tünay Yarman Vural
2013	J	`jnl`	Building Detection With Decision Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Çaglar Senaras, Mete Ozay, Fatos T. Yarman-Vural
2013	—	`conf`	Cognitive process representation with minimum spanning tree of local meshes. SIU Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural
2013	—	`conf`	Functional Mesh Learning for pattern analysis of cognitive processes. ICCI*CC Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos T. Yarman-Vural
2013	B	`conf`	Fusion of image segmentation algorithms using consensus clustering. ICIP Mete Ozay, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2013	—	`conf`	Information distribution analysis in the fMRI measurements with degree of locality estimation. SIU Itir Önal, Mete Ozay, Orhan Firat, Ilke Öztekin, Fatos T. Yarman-Vural
2013	B	`conf`	Mesh learning for object classification using fMRI measurements. ICIP Omer Ekmekci, Orhan Firat, Mete Ozay, Ilke Öztekin, Fatos T. Yarman-Vural, Uygar Öztekin
2013	—	`conf`	Representation of cognitive processes using the minimum spanning tree of local meshes. EMBC Orhan Firat, Mete Ozay, Itir Onal, Ilke Öztekin, Fatos Tünay Yarman Vural
2013	J	`jnl`	Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models. IEEE J. Sel. Areas Commun. Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	A New Fuzzy Stacked Generalization Technique for Deep learning and Analysis of its Performance CoRR Mete Ozay, Fatos T. Yarman-Vural
2012	C	`conf`	Automatic building detection with feature space fusion using ensemble learning. IGARSS Çaglar Senaras, Baris Yüksel, Mete Ozay, Fatos T. Yarman-Vural
2012	—	`conf`	Distributed models for sparse attack construction and state vector estimation in the smart grid. SmartGridComm Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2012	J	`jnl`	Mesh Learning for Classifying Cognitive Processes CoRR Mete Ozay, Ilke Öztekin, Uygar Öztekin, Fatos T. Yarman-Vural
2012	—	`conf`	Mesh learning approach for brain data modeling. SIU Orhan Firat, Mete Ozay, Itir Önal, Ilke Öztekin, Fatos T. Yarman-Vural
2012	—	`conf`	Smarter security in the smart grid. SmartGridComm Mete Ozay, Inaki Esnaola, Fatos T. Yarman-Vural, Sanjeev R. Kulkarni, H. Vincent Poor
2009	B	`conf`	A new decision fusion technique for image classification. ICIP Mete Ozay, Fatos Tünay Yarman Vural
2009	—	`conf`	Ensemble detection: A new architecture for multisensor data fusion with ensemble learning for object detection. ISCIS Mete Ozay, Okan Akalin, Fatos T. Yarman-Vural
2008	—	`conf`	On the Performance of Stacked Generalization Classifiers. ICIAR Mete Ozay, Fatos Tünay Yarman Vural