Bazzan, A.L.C.
* 2018: Optimal Electric Vehicle Fast Charging Station Placement Based on Game Theoretical Framework
* 2022: New Microscopic Approach to Traffic Flow Classification Using a Convolutional Neural Network Object Detector and a Multi-Tracker Algorithm, A
* 2022: Using Reinforcement Learning to Control Traffic Signals in a Real-World Scenario: An Approach Based on Linear Function Approximation
Includes: Bazzan, A.L.C. Bazzan, A.L.C.[Ana Lucia Cetertich] Bazzan, A.L.C.[Ana L. C.]
Bazzani, L.[Loris]
* 2009: Online subjective feature selection for occlusion management in tracking applications
* 2009: Towards a Subject-Centered Analysis for Automated Video Surveillance
* 2010: Collaborative particle filters for group tracking
* 2010: Multiple-Shot Person Re-identification by HPE Signature
* 2010: Person re-identification by symmetry-driven accumulation of local features
* 2011: Custom Pictorial Structures for Re-identification
* 2011: Social interaction discovery by statistical analysis of F-formations
* 2012: Decentralized particle filter for joint individual-group tracking
* 2012: Joining feature-based and similarity-based pattern description paradigms for object detection
* 2012: Multiple-shot person re-identification by chromatic and epitomic analyses
* 2012: Online Bayesian Non-parametrics for Social Group Detection
* 2012: Re-identification with RGB-D Sensors
* 2013: Person re-identification with a PTZ camera: An introductory study
* 2013: Semi-supervised multi-feature learning for person re-identification
* 2013: Symmetry-driven accumulation of local features for human characterization and re-identification
* 2013: Trusting Skype: Learning the Way People Chat for Fast User Recognition and Verification
* 2014: Weighted bag of visual words for object recognition
* 2015: Joint Individual-Group Modeling for Tracking
* 2016: Approximate Log-Hilbert-Schmidt Distances between Covariance Operators for Image Classification
* 2016: Self-taught object localization with deep networks
* 2017: Image and Video Understanding in Big Data
* 2020: Image Search With Text Feedback by Visiolinguistic Attention Learning
* 2020: Learning Joint Visual Semantic Matching Embeddings for Language-guided Retrieval
* 2021: Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval
* 2021: Localized Triplet Loss for Fine-grained Fashion Image Retrieval
* 2021: Revamping Cross-Modal Recipe Retrieval with Hierarchical Transformers and Self-supervised Learning
Includes: Bazzani, L.[Loris] Bazzani, L.
26 for Bazzani, L.
Bazzano, A.[Anabella]
* 2009: Pigmented Skin Lesions Classification Using Dermatoscopic Images
* 2011: Toward a combined tool to assist dermatologists in melanoma detection from dermoscopic images of pigmented skin lesions
Bazzato, E.[Erika]
* 2024: High-Resolution Canopy Height Mapping: Integrating NASA's Global Ecosystem Dynamics Investigation (GEDI) with Multi-Source Remote Sensing Data
Bazzi, H.[Hassan]
* 2017: Synergic Use of Sentinel-1 and Sentinel-2 Images for Operational Soil Moisture Mapping at High Spatial Resolution over Agricultural Areas
* 2018: Detection of Frozen Soil Using Sentinel-1 SAR Data
* 2018: Penetration Analysis of SAR Signals in the C and L Bands for Wheat, Maize, and Grasslands
* 2019: Mapping Irrigated Areas Using Sentinel-1 Time Series in Catalonia, Spain
* 2019: Mapping Paddy Rice Using Sentinel-1 SAR Time Series in Camargue, France
* 2020: Irrigation Events Detection over Intensively Irrigated Grassland Plots Using Sentinel-1 Data
* 2020: Near Real-Time Freeze Detection over Agricultural Plots Using Sentinel-1 Data
* 2020: Near Real-Time Irrigation Detection at Plot Scale Using Sentinel-1 Data
* 2021: Integration of L-Band Derived Soil Roughness into a Bare Soil Moisture Retrieval Approach from C-Band SAR Data
* 2021: Operational Framework for Mapping Irrigated Areas at Plot Scale Using Sentinel-1 and Sentinel-2 Data, An
* 2022: Comparative Analysis of the Sensitivity of SAR Data in C and L Bands for the Detection of Irrigation Events
* 2023: Soil Moisture Retrieval in Bare Agricultural Areas Using Sentinel-1 Images
* 2024: Determining Effective Temporal Windows for Rapeseed Detection Using Sentinel-1 Time Series and Machine Learning Algorithms
13 for Bazzi, H.
Bazzi, H.S.
* 2015: Classification of routing protocols in wireless sensor network
Bazzi, I.
* 1997: Omnifont and Unlimited-Vocabulary OCR for English and Arabic
* 1998: Script Independent Methodology for Optical Character Recognition, A
* 1999: Omnifont Open-Vocabulary OCR System for English and Arabic, An
Includes: Bazzi, I. Bazzi, I.[Issam]
Bazzi, L.
* 1999: Sampling of Images for Efficient Model-Based Vision
Bazzi, R.A.
* 2004: Selective FEC for error-resilient image coding and transmission using similarity check functions
Bazzi, S.[Samer]
* 2016: Robust Bayesian Precoding for Mitigation of TDD Hardware Calibration Errors
Bazzi, W.M.[Wael M.]
* 2016: incremental LMS network with reduced communication delay, An
* 2017: Incremental augmented complex adaptive IIR algorithm for training widely linear ARMA model
Bazzica, A.[Alessio]
* 2016: On detecting the playing/non-playing activity of musicians in symphonic music videos
* 2017: Exploiting scene maps and spatial relationships in quasi-static scenes for video face clustering
Bazzichetto, M.[Manuele]
* 2019: Strength in Numbers: Combining Multi-Source Remotely Sensed Data to Model Plant Invasions in Coastal Dune Ecosystems
Bazzo, C.O.G.[Clara Oliva Goncalves]
* 2023: Review of Estimation Methods for Aboveground Biomass in Grasslands Using UAV, A
Includes: Bazzo, C.O.G.[Clara Oliva Goncalves] Bazzo, C.O.G.[Clara Oliva Gonçalves]
Bazzo, J.J.
* 2004: Recognizing facial actions using gabor wavelets with neutral face average difference
Bazzoni, G.
* 2002: ORIGAMI project: advanced tools and techniques for high-end mixing and interaction between real and virtual content, The