Bunyak, F.[Filiz]
* 2005: Maintaining Trajectories of Salient Objects for Robust Visual Tracking
* 2005: Shadow Detection by Combined Photometric Invariants for Improved Foreground Segmentation
* 2006: Robust Tracking of Migrating Cells Using Four-Color Level Set Segmentation
* 2007: Accurate Spatial Neighborhood Relationships for Arbitrarily-Shaped Objects Using Hamilton-Jacobi GVD
* 2007: Geodesic Active Contour Based Fusion of Visible and Infrared Video for Persistent Object Tracking
* 2008: Cell segmentation using Hessian-based detection and contour evolution with directional derivatives
* 2008: Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation
* 2008: Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection
* 2009: Efficient segmentation using feature-based graph partitioning active contours
* 2009: Level Set-Based Fast Multi-phase Graph Partitioning Active Contours Using Constant Memory
* 2012: Efficient GPU Implementation of the Integral Histogram
* 2012: HEp-2 cell classification in IIF images using Shareboost
* 2012: Semi-automated tracking of muscle satellite cells in brightfield microscopy video
* 2014: Static and Moving Object Detection Using Flux Tensor with Split Gaussian Models
* 2016: Moving object detection for vehicle tracking in Wide Area Motion Imagery using 4D filtering
* 2016: Semantic Depth Map Fusion for Moving Vehicle Detection in Aerial Video
* 2016: Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results, The
* 2016: Visual Object Tracking VOT2016 Challenge Results, The
* 2017: Museed: A mobile image analysis application for plant seed morphometry
* 2017: Robust multi-object tracking with semantic color correlation
* 2017: UA-DETRAC 2017: Report of AVSS2017 IWT4S Challenge on Advanced Traffic Monitoring
* 2018: VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results
* 2019: Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images
* 2019: VisDrone-MOT2019: The Vision Meets Drone Multiple Object Tracking Challenge Results
* 2020: Deep Learning Based Landmark Matching For Aerial Geolocalization
* 2020: Ensemble Of Deep Cascades For Detection Of Laryngeal Adductor Reflex Events In Endoscopy Videos
* 2020: Mosaicing of Dynamic Mesentery Video with Gradient Blending
* 2021: Brain midline shift detection and quantification by a cascaded deep network pipeline on non-contrast computed tomography scans
* 2021: Deep Realistic Novel View Generation for City-Scale Aerial Images
* 2021: DMNet: Dual-Stream Marker Guided Deep Network for Dense Cell Segmentation and Lineage Tracking
* 2021: Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation
* 2021: Multi-focus Image Fusion for Confocal Microscopy Using U-Net Regression Map
* 2022: Self-supervised Orientation-guided Deep Network for Segmentation of Carbon Nanotubes in SEM Imagery
* 2023: CNT-NeRF: Carbon Nanotube Forest Depth Layer Decomposition in SEM Imagery using Generative Adversarial Networks
* 2023: DFT-CAM: Discrete Fourier Transform Driven Class Activation Map
* 2023: Predicting Mechanical Properties of Carbon Nanotube (CNT) Images Using Multi-Layer Synthetic Finite Element Model Simulations
* 2024: DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation
Includes: Bunyak, F.[Filiz] Bunyak, F.
37 for Bunyak, F.
Bunyaratavej, P.
* 2002: Iterative Hillclimbing Algorithm for Discrete Optimization on Images: Application to Joint Encoding of Image Transform Coefficients, An
Bunyon, C.L.[Christine L.]
* 2023: Using Imagery Collected by an Unmanned Aerial System to Monitor Cyanobacteria in New Hampshire, USA, Lakes