Akca, D.[Devrim]
* 2005: Fast correspondence search for 3D surface matching
* 2005: Least squares 3D surface and curve matching
* 2006: 3D modeling of the Weary Herakles statue with a coded structured light system
* 2007: Generalized Least Squares Multiple 3D Surface Matching
* 2007: Matching of 3D surfaces and their intensities
* 2008: Metric Accuracy Testing with Mobile Phone Cameras
* 2012: Co-Registration of 3D Point Clouds by Using an Errors-in-Variables Model
* 2012: Determining Pull-Out Deformations of Bonded Metal Anchors Embedded In Concrete by Means of Photogrammetry
* 2012: Empirical Accuracy Assessment of MMS Laser Point Clouds
* 2012: Laboratory Flume Experiment with a Coded Structured Light System
* 2014: Photogrammetric Deformation Monitoring of the Second Bosphorus Bridge in Istanbul
* 2016: Emprical Point Error Model for TLS Derived Point Clouds, An
* 2016: Volumetric Forest Change Detection Through Vhr Satellite Imagery
* 2018: 3-dimensional Pre- And Post-fire Comparison Of Forest Areas
Includes: Akca, D.[Devrim] Akca, D.
14 for Akca, D.
Akcakaya, M.
* 2007: Performance of Sparse Representation Algorithms Using Randomly Generated Frames
* 2011: Compressed Sensing With Wavelet Domain Dependencies for Coronary MRI: A Retrospective Study
* 2013: Robust Fusion Algorithm for Sensor Failure, A
* 2014: Manifold learning by preserving distance orders
* 2015: Bayesian Framework for Intent Detection and Stimulation Selection in SSVEP BCIs, A
* 2015: Minor Surfaces are Boundaries of Mode-Based Clusters
* 2015: Sparse Signal Recovery from a Mixture of Linear and Magnitude-Only Measurements
* 2016: Novel Data-Driven Learning Method for Radar Target Detection in Nonstationary Environments, A
* 2018: On Analysis of Active Querying for Recursive State Estimation
* 2018: Optimal Query Selection Using Multi-Armed Bandits
* 2018: Probabilistic Active Learning Algorithm Based on Fisher Information Ratio, A
* 2020: Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues
* 2021: Geometric Analysis of Uncertainty Sampling for Dense Neural Network Layer
* 2022: Active recursive Bayesian inference using Rényi information measures
* 2022: Stopping Criterion Design for Recursive Bayesian Classification: Analysis and Decision Geometry
* 2022: Unsupervised Deep Learning Methods for Biological Image Reconstruction and Enhancement: An overview from a signal processing perspective
* 2023: Physics-Driven Deep Learning for Computational Magnetic Resonance Imaging: Combining physics and machine learning for improved medical imaging
Includes: Akcakaya, M. Akcakaya, M.[Murat] Akçakaya, M. Akçakaya, M.[Murat] Akçakaya, M.[Mehmet]
17 for Akcakaya, M.
Akcay, H.G.
* 2008: Automatic Detection of Geospatial Objects Using Multiple Hierarchical Segmentations
* 2010: Automatic Mapping of Linear Woody Vegetation Features in Agricultural Landscapes Using Very High Resolution Imagery
* 2010: Hierarchical Segmentation of Complex Structures
* 2016: Automatic Detection of Compound Structures by Joint Selection of Region Groups From a Hierarchical Segmentation
Includes: Akcay, H.G. Akcay, H.G.[Huseyin Gokhan] Akçay, H.G.
Akcay, M.[Mertcan]
* 2023: 3D Segmentation of Humans in Point Clouds with Synthetic Data
Includes: Akcay, M.[Mertcan] Akçay, M.[Mertcan]
Akcay, M.N.[Mehmet N.]
* 2022: Catching the Moment With LoL^+ in Twitch-Like Low-Latency Live Streaming Platforms
* 2023: Could Head Motions Affect Quality When Viewing 360° Videos?
Akcay, O.[Ozgun]
* 2015: Landslide Fissure Inference Assessment by ANFIS and Logistic Regression Using UAS-Based Photogrammetry
* 2016: Correction and Densification of UAS-Based Photogrammetric Thermal Point Cloud
* 2017: Effect of Image Enhancement Methods During Feature Detection And Matching of Thermal Images, The
* 2018: Assessment of Segmentation Parameters for Object-Based Land Cover Classification Using Color-Infrared Imagery
* 2022: Semantic Segmentation of High-Resolution Airborne Images with Dual-Stream DeepLabV3+
Includes: Akcay, O.[Ozgun] Akcay, O.
Akcay, S.
* 2016: Transfer learning using convolutional neural networks for object classification within X-ray baggage security imagery
* 2017: evaluation of region based object detection strategies within X-ray baggage security imagery, An
* 2018: GANomaly: Semi-supervised Anomaly Detection via Adversarial Training
* 2018: On the Impact of Varying Region Proposal Strategies for Raindrop Detection and Classification Using Convolutional Neural Networks
* 2019: Generative adversarial framework for depth filling via Wasserstein metric, cosine transform and domain transfer
* 2020: Detecting Prohibited Items in X-Ray Images: a Contour Proposal Learning Approach
* 2020: Exploring Racial Bias within Face Recognition via per-subject Adversarially-Enabled Data Augmentation
* 2022: Anomalib: A Deep Learning Library for Anomaly Detection
* 2022: Towards automatic threat detection: A survey of advances of deep learning within X-ray security imaging
Includes: Akcay, S. Akçay, S. Akcay, S.[Samet]
9 for Akcay, S.
Akcayol, M.A.[M. Ali]
* 2019: Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping, An