Sarvadevabhatla, R.[Ravikiran]
* 2022: FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing
Sarvadevabhatla, R.K.[Ravi Kiran]
* 2016: Partly First Among Equals: Semantic Part-Based Benchmarking for State-of-the-Art Object Recognition Systems
* 2017: DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data
* 2017: Object Category Understanding via Eye Fixations on Freehand Sketches
* 2020: OCR for Classical Indic Documents Containing Arbitrarily Long Words, An
* 2020: Pictionary-Style Word Guessing on Hand-Drawn Object Sketches: Dataset, Analysis and Deep Network Models
* 2021: Quo Vadis, Skeleton Action Recognition?
* 2021: Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition
* 2022: Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads
* 2022: MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion
* 2022: Psumnet: Unified Modality Part Streams Are All You Need for Efficient Pose-based Action Recognition
* 2022: UAV-based Visual Remote Sensing for Automated Building Inspection
* 2023: DSAG: A Scalable Deep Framework for Action-Conditioned Multi-Actor Full Body Motion Synthesis
* 2024: MAdVerse: A Hierarchical Dataset of Multi-Lingual Ads from Diverse Sources and Categories
Includes: Sarvadevabhatla, R.K.[Ravi Kiran] Sarvadevabhatla, R.K.
13 for Sarvadevabhatla, R.K.
Sarvaiya, A.[Anjali]
* 2020: TherISuRNet: A Computationally Efficient Thermal Image Super-Resolution Network
* 2021: Channel Split Convolutional Neural Network (ChaSNet) for Thermal Image Super-Resolution
* 2021: Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
* 2021: NTIRE 2021 NonHomogeneous Dehazing Challenge Report
* 2021: Thermal Image Super-Resolution Challenge - PBVS 2021
* 2022: Depthwise Convolution For Compact Object Detector In nighttime Images
* 2023: NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results
* 2023: NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
8 for Sarvaiya, A.
Sarvandani, M.M.[Mohamadhasan Mohamadian]
* 2021: Seismic Ambient Noise Imaging of a Quasi-Amagmatic Ultra-Slow Spreading Ridge
Sarvarayudu, G.P.R.
* 1980: Boundary Approximation Using Walsh Series Expansion for Numeral Recognition
* 1983: Walsh Descriptors for Polygonal Curves
Sarvari, S.I.[Sebastian Imre]
* 2017: Estimating 3D Ventricular Shape From 2D Echocardiography: Feasibility and Effect of Noise
Sarvas, J.
* 2010: Scattering Model for a Pine Tree Employing VIE With a Broadband MLFMA and Comparison to ICA
Sarvattomananda, S.[Swami]
* 2011: Algorithms for computing diffuse reflection paths in polygons
Sarvazyan, A.P.
* 2006: Prostate Mechanical Imaging: 3-D Image Composition and Feature Calculations
* 2008: Mechanical Imaging of the Breast
Sarve, H.[Hamid]
* 2007: Quantification of Bone Remodeling in the Proximity of Implants
* 2008: Registration of 2D Histological Images of Bone Implants with 3D SRmuCT Volumes
* 2009: Improved Quantification of Bone Remodelling by Utilizing Fuzzy Based Segmentation
* 2009: Quantification of Bone Remodeling in SRmuCT Images of Implants
* 2010: Methods for Visualization of Bone Tissue in the Proximity of Implants
Sarvesh
* 2023: Edge Synthesis Block: A Building Unit for Real-Time Single Image Super Resolution
Sarvesh, S.[Sarvesh]
* 2021: Multimodal Humor Dataset: Predicting Laughter tracks for Sitcoms
Sarvi, M.
* 2008: Using ITS to Improve the Capacity of Freeway Merging Sections by Transferring Freight Vehicles
* 2011: Optimization of Transit Priority in the Transportation Network Using a Genetic Algorithm
* 2018: Hybrid machine learning and optimisation method to solve a tri-level road network protection problem
* 2022: Network-Wide Traffic State Estimation and Rolling Horizon-Based Signal Control Optimization in a Connected Vehicle Environment
Includes: Sarvi, M. Sarvi, M.[Majid]
Sarvia, F.[Filippo]
* 2021: Sentinel-1 Polarimetry to Map Apple Orchard Damage after a Storm
* 2023: Monitoring Agricultural Land and Land Cover Change from 2001-2021 of the Chi River Basin, Thailand Using Multi-Temporal Landsat Data Based on Google Earth Engine
* 2024: Estimating Sugarcane Aboveground Biomass and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine Learning Algorithms
Sarvotham, S.
* 2006: Architecture for Compressive Imaging, An
Sarvrood, Y.B.[Yashar Balazadegan]
* 2016: Visual-LiDAR Odometry Aided by Reduced IMU