Yasaka, S.[Shungo]
* 2015: MR image reconstruction of a regularly undersampled signal using quadratic phase scrambling
Yasakethu, S.L.P.
* 2009: Improved Decoding Algorithm for DVC Over Multipath Error Prone Wireless Channels, An
Yasan, H.C.[Haluk C.]
* 2013: Qualitative Comparison of Contraction-Based Curve Skeletonization Methods
Yasar, M.[Murat]
* 2009: Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns
Yasar, M.S.[Mohammad Samin]
* 2023: MAVEN: A Memory Augmented Recurrent Approach for Multimodal Fusion
Yasar, S.
* 2018: Monte Carlo Model of a Benchtop X-Ray Fluorescence Computed Tomography System and Its Application to Validate a Deconvolution-Based X-Ray Fluorescence Signal Extraction Method, A
Yasarla, R.
* 2019: Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
* 2019: Uncertainty Guided Multi-Scale Residual Learning-Using a Cycle Spinning CNN for Single Image De-Raining
* 2020: Confidence Measure Guided Single Image De-Raining
* 2020: Deblurring Face Images Using Uncertainty Guided Multi-Stream Semantic Networks
* 2020: Learning to Count in the Crowd from Limited Labeled Data
* 2020: Prior-based Domain Adaptive Object Detection for Hazy and Rainy Conditions
* 2020: Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes
* 2021: Anatomic and Molecular MR Image Synthesis Using Confidence Guided CNNs
* 2021: Learning to Restore Images Degraded by Atmospheric Turbulence Using Uncertainty
* 2021: Semi-Supervised Image Deraining Using Gaussian Processes
* 2022: ART-SS: An Adaptive Rejection Technique for Semi-Supervised Restoration for Adverse Weather-Affected Images
* 2022: JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
* 2022: NBD-GAP: Non-Blind Image Deblurring without Clean Target Images
* 2022: TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions
* 2022: Unsupervised Restoration of Weather-affected Images using Deep Gaussian Process-based CycleGAN
* 2023: MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
* 2024: 3SD: Self-Supervised Saliency Detection With No Labels
* 2024: Self-Supervised Denoising Transformer with Gaussian Process
Includes: Yasarla, R. Yasarla, R.[Rajeev]
18 for Yasarla, R.
Yasaroglu, Y.[Yagiz]
* 2003: Summarizing Video: Content, Features, and HMM Topologies
* 2011: Extracting embedded data in 3D models from 2D views using perspective invariants
* 2014: E3D-D2D: Embedding in 3D, detection in 2D through projective invariants