Simek, K.[Kyle]
* 2013: Bayesian 3D Tracking from Monocular Video
* 2015: Gaussian Process Shape Models for Bayesian Segmentation of Plant Leaves
* 2016: Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees
Simek, Z.[Zachary]
* 2021: Crossing the Great Divide: Bridging the Researcher-Practitioner Gap to Maximize the Utility of Remote Sensing for Invasive Species Monitoring and Management
Simensen, T.[Trond]
* 2022: Global 10 m Land Use Land Cover Datasets: A Comparison of Dynamic World, World Cover and ESRI Land Cover
Simeon, G.[Guillem]
* 2021: Geometric Deep Learning for the Assessment of Thrombosis Risk in the Left Atrial Appendage
Simeon, J.[Jennifer]
* 2019: Corridor Mapping of Sandy Coastal Foredunes with UAS Photogrammetry and Mobile Laser Scanning
Simeon, M.[Mathilde]
* 2020: Assessment of the Zero-Bias Line Homogenization Method for Microwave Radiometers Using Sentinel-3A and Sentinel-3B Tandem Phase
* 2020: Sentinel-3 Microwave Radiometers: Instrument Description, Calibration and Geophysical Products Performances
* 2023: SARAL's Full Mission Reprocessing: Improvement with the GDR-F Standard
Includes: Simeon, M.[Mathilde] Siméon, M.[Mathilde]
Simeone, A.L.
* 2014: Feet movement in desktop 3D interaction
* 2015: Comparing indirect and direct touch in a stereoscopic interaction task
* 2021: Propping Up Virtual Reality With Haptic Proxies
Includes: Simeone, A.L. Simeone, A.L.[Adalberto L.]
Simeone, D.
* 2020: Indoor Mobile Mapping System and Crowd Simulation to Support School Reopening Because of Covid-19: A Case Study
Simeone, O.
* 2013: Joint Decompression and Decoding for Cloud Radio Access Networks
* 2014: Modulation Classification via Gibbs Sampling Based on a Latent Dirichlet Bayesian Network
* 2015: Cloud Radio-Multistatic Radar: Joint Optimization of Code Vector and Backhaul Quantization
* 2016: Time-Asynchronous Robust Cooperative Transmission for the Downlink of C-RAN
* 2016: Topology Discovery for Linear Wireless Networks With Application to Train Backbone Inauguration
* 2017: Code-Aided Channel Tracking and Decoding Over Sparse Fast-Fading Multipath Channels With an Application to Train Backbone Networks
* 2017: Random Access in C-RAN for User Activity Detection With Limited-Capacity Fronthaul
* 2019: Online Reinforcement Learning of X-Haul Content Delivery Mode in Fog Radio Access Networks
* 2021: Joint Source-Channel Coding for Semantics-Aware Grant-Free Radio Access in IoT Fog Networks
* 2021: VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner- Take-All Circuits
* 2022: Training Hybrid Classical-Quantum Classifiers via Stochastic Variational Optimization
* 2023: Guaranteed Dynamic Scheduling of Ultra-Reliable Low-Latency Traffic via Conformal Prediction
* 2023: Information Bottleneck-Inspired Type Based Multiple Access for Remote Estimation in IoT Systems
* 2024: Few-Shot Calibration of Set Predictors via Meta-Learned Cross-Validation-Based Conformal Prediction
Includes: Simeone, O. Simeone, O.[Osvaldo]
14 for Simeone, O.
Simeone, P.[Paolo]
* 2007: Framework for Multiclass Reject in ECOC Classification Systems, A
* 2008: Fast Approach to Improve Classification Performance of ECOC Classification Systems, A
* 2010: Exploiting System Knowledge to Improve ECOC Reject Rules
* 2011: Shaping the Error-Reject Curve of Error Correcting Output Coding Systems
* 2012: Design of reject rules for ECOC classification systems
Simeoni, M.
* 2017: Denoising radio interferometric images by subspace clustering
* 2018: Functional Framework for Ultrasound Imaging, A
* 2018: Towards More Accurate Radio Telescope Images
* 2022: Fast and Scalable Polyatomic Frank-Wolfe Algorithm for the LASSO, A
Includes: Simeoni, M. Simeoni, M.[Matthieu]
Simeoni, O.[Oriane]
* 2018: Unsupervised Object Discovery for Instance Recognition
* 2019: Graph-based particular object discovery
* 2019: Local Features and Visual Words Emerge in Activations
* 2021: Rethinking deep active learning: Using unlabeled data at model training
* 2022: Active Learning Strategies for Weakly-Supervised Object Detection
* 2022: Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-Modal Distillation
* 2023: Unsupervised Object Localization: Observing the Background to Discover Objects
* 2023: You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation
* 2024: CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free
Includes: Simeoni, O.[Oriane] Siméoni, O.[Oriane]
9 for Simeoni, O.
Simeonova, S.[Sandra]
* 2019: Orientation- and Scale-Invariant Multi-Vehicle Detection and Tracking from Unmanned Aerial Videos
* 2020: Vehicle Tracking and Speed Estimation From Unmanned Aerial Videos
Simeri, A.[Andrea]
* 2023: Transformer-based language models for mental health issues: A survey
Simes, E.D.
* 1996: Hardware Implementation of RAM Neural Networks
Simes, T.[Tomas]
* 2024: Wildfire Burnt Area Severity Classification from UAV-Based RGB and Multispectral Imagery
Includes: Simes, T.[Tomas] Simes, T.[Tomás]
Simeu, E.[Emmanuel]
* 2013: Cramer-Rao lower bounds and maximum likelihood timing synchronization for dirty template UWB communications
* 2014: Design of tracking loop with dirty templates for UWB communication systems
* 2014: Detection of UWB signal using dirty template approach
* 2016: Fuzzy logic modeling for objective image quality assessment
Includes: Simeu, E.[Emmanuel] Simeu, E.
Simeunovic, M.[Marko]
* 2015: Combined HO-CPF and HO-WD PPS estimator