Aksoy, A.K.[Ahmet Kerem]
* 2021: Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels, A
Aksoy, E.[Eren]
* 2012: modular system architecture for online parallel vision pipelines, A
* 2016: Using Mcda and GIS For Landfill Site Selection: Central Districts Of Antalya Province
Includes: Aksoy, E.[Eren] Aksoy, E.
Aksoy, E.E.[Eren Erdal]
* 2010: 3D Semantic Representation of Actions from efficient stereo-image-sequence segmentation on GPUs
* 2017: Semantic Decomposition and Recognition of Long and Complex Manipulation Action Sequences
* 2020: Salsanext: Fast, Uncertainty-aware Semantic Segmentation of Lidar Point Clouds
* 2021: Semantics-aware Multi-modal Domain Translation: From LiDAR Point Clouds to Panoramic Color Images
* 2023: FaceDancer: Pose- and Occlusion-Aware High Fidelity Face Swapping
* 2023: FIVA: Facial Image and Video Anonymization and Anonymization Defense
Aksoy, M.
* 2013: Comparative Analysis of Low-Level Radio Frequency Interference in SMOS and Aquarius Microwave Radiometer Measurements, A
* 2014: Radio-Frequency Interference Mitigation for the Soil Moisture Active Passive Microwave Radiometer
* 2015: Radiometric Approach for Estimating Relative Changes in Intraglacier Average Temperature
* 2016: L-Band Radio-Frequency Interference Observations During the SMAP Validation Experiment 2012
* 2016: SMAP L-Band Microwave Radiometer: RFI Mitigation Prelaunch Analysis and First Year On-Orbit Observations
* 2018: 500-2000-MHz Brightness Temperature Spectra of the Northwestern Greenland Ice Sheet
* 2019: Preliminary Study of Three-Point Onboard External Calibration for Tracking Radiometric Stability and Accuracy, A
* 2021: Characteristics of the Global Radio Frequency Interference in the Protected Portion of L-Band
* 2022: Antarctic Firn Characterization via Wideband Microwave Radiometry
Includes: Aksoy, M. Aksoy, M.[Mustafa]
9 for Aksoy, M.
Aksoy, S.[Selim]
* 1998: Model-Based Shape Recognition Using Recursive Mathematical Morphology
* 1998: Textural features for image database retrieval
* 1999: Graph-Theoretic Clustering for Image Grouping and Retrieval
* 2000: Algorithm Performance Contest
* 2000: Probabilistic vs. Geometric Similarity Measures for Image Retrieval
* 2000: Weighted Distance Approach to Relevance Feedback, A
* 2001: Feature normalization and likelihood-based similarity measures for image retrieval
* 2002: classification framework for content-based image retrieval, A
* 2005: Learning Bayesian Classifiers for Scene Classification With a Visual Grammar
* 2006: Modeling of Remote Sensing Image Content Using Attributed Relational Graphs
* 2007: Foreword to the Special Issue on Pattern Recognition in Remote Sensing
* 2007: Relative Position-Based Spatial Relationships using Mathematical Morphology
* 2007: Scene Classification Using Bag-of-Regions Representations
* 2008: 5th IAPR workshop on pattern recognition in remote sensing, The
* 2008: Automatic Detection of Geospatial Objects Using Multiple Hierarchical Segmentations
* 2008: Semantic Scene Classification for Image Annotation and Retrieval
* 2009: Land Cover Classification with Multi-Sensor Fusion of Partly Missing Data
* 2010: Automatic Mapping of Linear Woody Vegetation Features in Agricultural Landscapes Using Very High Resolution Imagery
* 2010: Hierarchical Segmentation of Complex Structures
* 2010: Image Classification Using Subgraph Histogram Representation
* 2010: Maximum Likelihood Estimation of Gaussian Mixture Models Using Particle Swarm Optimization
* 2010: Pattern Recognition in Remote Sensing
* 2010: Performance measures for object detection evaluation
* 2010: Segmentation of Cervical Cell Images
* 2010: Unsupervised detection and localization of structural textures using projection profiles
* 2012: Automatic Detection and Segmentation of Orchards Using Very High Resolution Imagery
* 2012: Unsupervised segmentation and classification of cervical cell images
* 2014: Detection of Compound Structures Using a Gaussian Mixture Model With Spectral and Spatial Constraints
* 2014: Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images
* 2016: Automatic Detection of Compound Structures by Joint Selection of Region Groups From a Hierarchical Segmentation
* 2018: Detection and classification of cancer in whole slide breast histopathology images using deep convolutional networks
* 2018: Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery
* 2018: Multi-Instance Multi-Label Learning for Multi-Class Classification of Whole Slide Breast Histopathology Images
* 2019: Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery
* 2020: Recognition of occupational therapy exercises and detection of compensation mistakes for Cerebral Palsy
* 2021: Self-Supervised Learning with Graph Neural Networks for Region of Interest Retrieval in Histopathology
* 2021: Weakly supervised instance attention for multisource fine-grained object recognition with an application to tree species classification
Includes: Aksoy, S.[Selim] Aksoy, S.
37 for Aksoy, S.
Aksoy, T.[Tolga]
* 2023: IR Reasoner: Real-time Infrared Object Detection by Visual Reasoning
Aksoy, Y.[Yagiz]
* 2012: Interactive 2D-3D image conversion for mobile devices
* 2012: Utilization of False Color Images in Shadow Detection
* 2014: MasterCam FVV: Robust registration of multiview sports video to a static high-resolution master camera for free viewpoint video
* 2014: Uncertainty modeling for efficient visual odometry via inertial sensors on mobile devices
* 2017: Designing Effective Inter-Pixel Information Flow for Natural Image Matting
* 2018: Dataset of Flash and Ambient Illumination Pairs from the Crowd, A
* 2019: Learning-Based Sampling for Natural Image Matting
* 2021: Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging
* 2023: Computational Flash Photography through Intrinsics
* 2023: Realistic Saliency Guided Image Enhancement
Includes: Aksoy, Y.[Yagiz] Aksoy, Y.
10 for Aksoy, Y.