Index for fars

Farsani, M.S.[Mahsa Saffari] * 2016: Efficient Algorithm for Small Gene Prediction in DNA Sequences, An

Farshad, A.[Azade] * 2018: Adversarial Network Compression
* 2020: Semantic Image Manipulation Using Scene Graphs
* 2021: Unconditional Scene Graph Generation
* 2023: SceneGenie: Scene Graph Guided Diffusion Models for Image Synthesis
* 2023: Transformers Pay Attention to Convolutions Leveraging Emerging Properties of ViTs by Dual Attention-Image Network
Includes: Farshad, A.[Azade] Farshad, A.

Farshchian, M. * 2004: Optimal Error Protection for Real-Time Image and Video Transmission
* 2006: Enhancement of Video Quality for Energy Constrained Cellular Applications

Farshi, T.R.[Taymaz Rahkar] * 2017: Image Noise Reduction Method Based on Compatibility with Adjacent Pixels

Farshian, A.[Anis] * 2023: Deep-Learning-Based 3-D Surface Reconstruction: A Survey

Farshidi, F. * 2009: Robust sequential view planning for object recognition using multiple cameras

Farsi, H. * 2013: Colour and texture feature-based image retrieval by using hadamard matrix in discrete wavelet transform
* 2015: Novel Algorithm to Tackle Eyeglasses and Beard Issues in Facial IR Recognition, A
* 2015: Video Summarization by an Innovative Method in Shot Detection
* 2016: Content-based image retrieval system via sparse representation
* 2017: Persian logo recognition using local binary patterns
* 2019: Visual saliency object detection using sparse learning
* 2020: New Sample Consensus Based on Sparse Coding for Improved Matching of SIFT Features on Remote Sensing Images, A
* 2023: Integration of the latent variable knowledge into deep image captioning with Bayesian modeling
Includes: Farsi, H. Farsi, H.[Hassan]
8 for Farsi, H.

Farsiu, S.[Sina] * 2003: Fast and Robust Super-Resolution
* 2004: Advances and challenges in super-resolution
* 2004: Fast and Robust Multiframe Super Resolution
* 2006: Multiframe Demosaicing and Super-Resolution of Color Images
* 2006: Robust Kernel Regression for Restoration and Reconstruction of Images from Sparse Noisy Data
* 2006: Video-to-Video Dynamic Super-Resolution for Grayscale and Color Sequences
* 2007: Kernel Regression for Image Processing and Reconstruction
* 2007: Multi-Scale Statistical Detection and Ballistic Imaging Through Turbid Media
* 2008: Deblurring Using Regularized Locally Adaptive Kernel Regression
* 2008: Efficient restoration and enhancement of super-resolved X-ray images
* 2010: Efficient Fourier-Wavelet Super-Resolution
* 2013: Fast Acquisition and Reconstruction of Optical Coherence Tomography Images via Sparse Representation
* 2015: 3-D Adaptive Sparsity Based Image Compression With Applications to Optical Coherence Tomography
* 2015: Retinal Artery-Vein Classification via Topology Estimation
* 2015: Tree Topology Estimation
* 2017: Segmentation Based Sparse Reconstruction of Optical Coherence Tomography Images
* 2018: Statistical Models of Signal and Noise and Fundamental Limits of Segmentation Accuracy in Retinal Optical Coherence Tomography
* 2020: MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box Constraints
* 2021: Mesoscopic photogrammetry with an unstabilized phone camera
* 2022: BiconNet: An edge-preserved connectivity-based approach for salient object detection
* 2023: Directional Connectivity-based Segmentation of Medical Images
* 2023: RetiFluidNet: A Self-Adaptive and Multi-Attention Deep Convolutional Network for Retinal OCT Fluid Segmentation
Includes: Farsiu, S.[Sina] Farsiu, S.
22 for Farsiu, S.

Farson, S.A. * 2006: Re-scalable V-BLAST MIMO system for FPGA

Farssi, S.M. * 2018: Multiple linear regression for universal steganalysis of images

Index for "f"


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