Mete Ozay

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Task guided representation learning using compositional models for zero-shot domain adaptation.

[BibT_eX]

[DOI]

Shuang Liu

Neural Networks, August, 2023

Deep Depth Completion From Extremely Sparse Data: A Survey.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Federated Learning via Attentive Margin of Semantic Feature Representations.

[BibT_eX]

[DOI]

Marco Toldo

IEEE Internet Things J., January, 2023

On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer.

[BibT_eX]

[DOI]

Md Asif Jalal

Pablo Peso Parada

Jisi Zhang

Karthikeyan Saravanan

CoRR, 2023

Online Continual Learning in Keyword Spotting for Low-Resource Devices via Pooling High-Order Temporal Statistics.

[BibT_eX]

[DOI]

Pablo Peso Parada

CoRR, 2023

A Model for Every User and Budget: Label-Free and Personalized Mixed-Precision Quantization.

[BibT_eX]

[DOI]

Edward Fish

CoRR, 2023

LRA&LDRA: Rethinking Residual Predictions for Efficient Shadow Detection and Removal.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Online Continual Learning for Robust Indoor Object Recognition.

[BibT_eX]

[DOI]

IROS, 2023

Conceptual and Hierarchical Latent Space Decomposition for Face Editing.

[BibT_eX]

[DOI]

Savas Özkan

Tom Robinson

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Data-Free Model Pruning at Initialization via Expanders.

[BibT_eX]

[DOI]

James Stewart

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Joint Adversarial Example and False Data Injection Attacks for State Estimation in Power Systems.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Exploring Targeted and Stealthy False Data Injection Attacks via Adversarial Machine Learning.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

Data-free Dense Depth Distillation.

[BibT_eX]

[DOI]

CoRR, 2022

Deep Depth Completion: A Survey.

[BibT_eX]

[DOI]

CoRR, 2022

A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping.

[BibT_eX]

[DOI]

CoRR, 2022

Adversarial Attacks and Defense Methods for Power Quality Recognition.

[BibT_eX]

[DOI]

CoRR, 2022

pMCT: Patched Multi-Condition Training for Robust Speech Recognition.

[BibT_eX]

[DOI]

Pablo Peso Parada

Agnieszka Dobrowolska

Karthikeyan Saravanan

Proceedings of the Interspeech 2022, 2022

FedNST: Federated Noisy Student Training for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Haaris Mehmood

Agnieszka Dobrowolska

Karthikeyan Saravanan

Proceedings of the Interspeech 2022, 2022

Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning.

[BibT_eX]

[DOI]

Bobby He

Proceedings of the International Conference on Machine Learning, 2022

Feature Kernel Distillation.

[BibT_eX]

[DOI]

Bobby He

Proceedings of the Tenth International Conference on Learning Representations, 2022

Bring Evanescent Representations to Life in Lifelong Class Incremental Learning.

[BibT_eX]

[DOI]

Marco Toldo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Learning from experience for rapid generation of local car maneuvers.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2021

Task Guided Compositional Representation Learning for ZDA.

[BibT_eX]

[DOI]

Shuang Liu

CoRR, 2021

Prototype Guided Federated Learning of Visual Feature Representations.

[BibT_eX]

[DOI]

CoRR, 2021

A New Approach to Design Symmetry Invariant Neural Networks.

[BibT_eX]

[DOI]

Piotr Kicki

Piotr Skrzypczynski

Proceedings of the International Joint Conference on Neural Networks, 2021

Are All Users Treated Fairly in Federated Learning Systems?

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

A Mixed Quantization Network for Efficient Mobile Inverse Tone Mapping.

[BibT_eX]

[DOI]

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

A New Neural Network Architecture Invariant to the Action of Symmetry Subgroups.

[BibT_eX]

[DOI]

Piotr Kicki

Piotr Skrzypczynski

CoRR, 2020

A Computationally Efficient Neural Network Invariant to the Action of Symmetry Subgroups.

[BibT_eX]

[DOI]

Piotr Kicki

Piotr Skrzypczynski

CoRR, 2020

2019

Detection and Pose Estimation for Short-Range Vision-Based Underwater Docking.

[BibT_eX]

[DOI]

IEEE Access, 2019

Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps With Accurate Object Boundaries.

[BibT_eX]

[DOI]

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Adaptive Normalized Attacks for Learning Adversarial Attacks and Defenses in Power Systems.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Communications, 2019

Fine-grained Optimization of Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Generative Model of Underwater Images for Active Landmark Detection and Docking.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Improving Head Pose Estimation with a Combined Loss and Bounding Box Margin Adjustment.

[BibT_eX]

[DOI]

Proceedings of the 14th IEEE International Conference on Automatic Face & Gesture Recognition, 2019

2018

Deep Structured Energy-Based Image Inpainting.

[BibT_eX]

[DOI]

Fazil Altinel

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Exploiting the Potential of Standard Convolutional Autoencoders for Image Restoration by Evolutionary Search.

[BibT_eX]

[DOI]

Masanori Suganuma

Proceedings of the 35th International Conference on Machine Learning, 2018

Feature Quantization for Defending Against Distortion of Images.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Training CNNs With Normalized Kernels.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

A New Representation of fMRI Signal by a Set of Local Meshes for Brain Decoding.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2017

A vision based system for underwater docking.

[BibT_eX]

[DOI]

CoRR, 2017

HyperNetworks with statistical filtering for defending adversarial examples.

[BibT_eX]

[DOI]

CoRR, 2017

Information Potential Auto-Encoders.

[BibT_eX]

[DOI]

CoRR, 2017

Linear Discriminant Generative Adversarial Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Improving Robustness of Feature Representations to Image Deformations using Powered Convolution in CNNs.

[BibT_eX]

[DOI]

CoRR, 2017

Optimization on Product Submanifolds of Convolution Kernels.

[BibT_eX]

[DOI]

CoRR, 2017

Truncating Wide Networks Using Binary Tree Architectures.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Machine Learning Methods for Attack Detection in the Smart Grid.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Hierarchical distance learning by stacking nearest neighbor classifiers.

[BibT_eX]

[DOI]

Inf. Fusion, 2016

Optimization on Submanifolds of Convolution Kernels in CNNs.

[BibT_eX]

[DOI]

CoRR, 2016

A Hierarchical Multi-resolution Mesh Network for Brain Decoding.

[BibT_eX]

[DOI]

Itir Önal

CoRR, 2016

Modeling the Sequence of Brain Volumes by Local Mesh Models for Brain Decoding.

[BibT_eX]

[DOI]

CoRR, 2016

Encoding the Local Connectivity Patterns of fMRI for Cognitive State Classification.

[BibT_eX]

[DOI]

Itir Önal Ertugrul

CoRR, 2016

Integrating deep features for material recognition.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Design of Kernels in Convolutional Neural Networks for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Bilişsel durum analizi i~in beyin Aği modeli.

[BibT_eX]

[DOI]

Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

Modeling Voxel Connectivity for Brain Decoding.

[BibT_eX]

[DOI]

Itir Önal

Proceedings of the 2015 International Workshop on Pattern Recognition in NeuroImaging, 2015

Compositional Hierarchical Representation of Shape Manifolds for Classification of Non-manifold Shapes.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Functional Mesh Model with Temporal Measurements for brain decoding.

[BibT_eX]

[DOI]

Itir Önal

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

Estimating brain connectivity for pattern analysis.

[BibT_eX]

[DOI]

Proceedings of the 2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014

A hierarchical approach for joint multi-view object pose estimation and categorization.

[BibT_eX]

[DOI]

Krzysztof Walas

Ales Leonardis

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Semi-supervised Segmentation Fusion of Multi-spectral and Aerial Images.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Modeling the Brain Connectivity for Pattern Analysis.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

A Graph Theoretic Approach for Object Shape Representation in Compositional Hierarchies Using a Hybrid Generative-Descriptive Model.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014, 2014

Functional networks of anatomic brain regions.

[BibT_eX]

[DOI]

Proceedings of the IEEE 13th International Conference on Cognitive Informatics and Cognitive Computing, 2014

2013

Decision fusion for supervised, unsupervised and semi-supervised learnings ; Denetimli, denetimsiz ve yarı-denetimli öğrenme icin veri füzyonu.

[BibT_eX]

[DOI]

PhD thesis, 2013

Building Detection With Decision Fusion.

[BibT_eX]

[DOI]

Çaglar Senaras

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2013

Sparse Attack Construction and State Estimation in the Smart Grid: Centralized and Distributed Models.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Commun., 2013

Enhancing Local Linear Models Using Functional Connectivity for Brain State Decoding.

[BibT_eX]

[DOI]

Int. J. Cogn. Informatics Nat. Intell., 2013

Information distribution analysis in the fMRI measurements with degree of locality estimation.

[BibT_eX]

[DOI]

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Cognitive process representation with minimum spanning tree of local meshes.

[BibT_eX]

[DOI]

Proceedings of the 21st Signal Processing and Communications Applications Conference, 2013

Fusion of image segmentation algorithms using consensus clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Mesh learning for object classification using fMRI measurements.

[BibT_eX]

[DOI]

Uygar Öztekin

Proceedings of the IEEE International Conference on Image Processing, 2013

Analyzing the information distribution in the fMRI measurements by estimating the degree of locality.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

Representation of cognitive processes using the minimum spanning tree of local meshes.

[BibT_eX]

[DOI]

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013

An information theoretic approach to classify cognitive states using fMRI.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE International Conference on BioInformatics and BioEngineering, 2013

Functional Mesh Learning for pattern analysis of cognitive processes.

[BibT_eX]

[DOI]

Proceedings of the IEEE 12th International Conference on Cognitive Informatics and Cognitive Computing, 2013

2012

Mesh Learning for Classifying Cognitive Processes

[BibT_eX]

[DOI]

Ilke Öztekin

Uygar Öztekin

CoRR, 2012

A New Fuzzy Stacked Generalization Technique for Deep learning and Analysis of its Performance

[BibT_eX]

[DOI]

CoRR, 2012

Smarter security in the smart grid.

[BibT_eX]

[DOI]

Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Distributed models for sparse attack construction and state vector estimation in the smart grid.

[BibT_eX]

[DOI]

Proceedings of the IEEE Third International Conference on Smart Grid Communications, 2012

Mesh learning approach for brain data modeling.

[BibT_eX]

[DOI]

Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

Automatic building detection with feature space fusion using ensemble learning.

[BibT_eX]

[DOI]

Çaglar Senaras

Baris Yüksel

Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

2009

Ensemble detection: A new architecture for multisensor data fusion with ensemble learning for object detection.

[BibT_eX]

[DOI]

Okan Akalin

Proceedings of the 24th International Symposium on Computer and Information Sciences, 2009

A new decision fusion technique for image classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Image Processing, 2009

2008

On the Performance of Stacked Generalization Classifiers.

[BibT_eX]

[DOI]