Index for juni

Junior, A.[Amadeu] * 2017: Transfer Learning Using Convolutional Neural Networks for Face Anti-spoofing

Junior, A.R.[Alberto Rios] * 2014: Combining Wavelet Saliency, Color and DCT Coefficients for Content-Based Image Retrieval
Includes: Junior, A.R.[Alberto Rios] Júnior, A.R.[Alberto Rios]

Junior, C.H.L.S.[Celso H. L. Silva] * 2020: Intercomparison of Burned Area Products and Its Implication for Carbon Emission Estimations in the Amazon

Junior, C.R.F.[Carlos Ruberto Fragoso] * 2018: Multivariate Analysis Framework to Detect Key Environmental Factors Affecting Spatiotemporal Variability of Chlorophyll-a in a Tropical Productive Estuarine-Lagoon System, A
Includes: Junior, C.R.F.[Carlos Ruberto Fragoso] Júnior, C.R.F.[Carlos Ruberto Fragoso]

Junior, D.L.G.[Daniel Lima Gomes] * 2022: Two-Stage U-Net to Estimate the Cultivated Area of Plantations, A

Junior, E.V.[Eurico Vaz] * 2016: InSAeS4 Airborne X-Band Interferometric SAR System: A First Assessment on Its Imaging and Topographic Mapping Capabilities, The

Junior, F.C.F.N.[Francisco Carlos F. Nunes] * 2021: Improving the Creation of Hot Spot Policing Patrol Routes: Comparing Cognitive Heuristic Performance to an Automated Spatial Computation Approach

Junior, F.W.A.[Fausto W. Acerbi] * 2019: Object-Based Change Detection in the Cerrado Biome Using Landsat Time Series
* 2020: Spatial Agreement among Vegetation Disturbance Maps in Tropical Domains Using Landsat Time Series
Includes: Junior, F.W.A.[Fausto W. Acerbi] Júnior, F.W.A.[Fausto W. Acerbi]

Junior, G.B.[Geraldo Braz] * 2007: Classification of Breast Tissues in Mammogram Images Using Ripley's K Function and Support Vector Machine
* 2009: Detection of Masses in Digital Mammograms using K-Means and Support Vector Machine
* 2017: Sclera Segmentation in Face Images Using Image Foresting Transform
* 2018: Segmentation of the Retinal Reflex in Brückner Test Images Using U-Net Convolutional Network
* 2022: Two-Stage U-Net to Estimate the Cultivated Area of Plantations, A

Junior, G.C.L.[Geraldo Coelho Lima] * 2018: SEE BEYOND: Enhancement: Strategies in Teaching Learning as a Stimulus to Creativity in Fashion Design
Includes: Junior, G.C.L.[Geraldo Coelho Lima] Júnior, G.C.L.[Geraldo Coelho Lima]

Junior, J.C.S.J.[J. C. S. J.] * 2017: Joint Challenge on Dominant and Complementary Emotion Recognition Using Micro Emotion Features and Head-Pose Estimation: Databases
* 2021: Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
* 2021: Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions
* 2021: On the Effect of Observed Subject Biases in Apparent Personality Analysis From Audio-Visual Signals
* 2021: Person Perception Biases Exposed: Revisiting the First Impressions Dataset
* 2021: Winning Solutions and Post-Challenge Analyses of the ChaLearn AutoDL Challenge 2019
* 2022: First Impressions: A Survey on Vision-Based Apparent Personality Trait Analysis
* 2022: Modeling, Recognizing, and Explaining Apparent Personality From Videos
Includes: Junior, J.C.S.J.[J. C. S. J.] Junior, J.C.S.J.[Julio C. S. Jacques]
8 for Junior, J.C.S.J.

Junior, J.G.R. * 2019: DOCTraMS: A Decentralized and Offline Community-Based Traffic Monitoring System
* 2022: Comparative Analysis of a Vehicular Safety Application in NS-3 and Veins
Includes: Junior, J.G.R. Júnior, J.G.R. Júnior, J.G.R.[José Geraldo Ribeiro]

Junior, J.J. * 2017: Visualizing Apparent Personality Analysis with Deep Residual Networks

Junior, J.L.S.[J. L. Siqueira] * 2016: Assessment Of Flooded Areas Projections And Floods Potential Impacts Applying Remote Sensing Imagery And Demographic Data
Includes: Junior, J.L.S.[J. L. Siqueira] Júnior, J.L.S.[J. L. Siqueira]

Junior, J.M.[Jose Marcato] * 2010: Bundle block adjustment of Cbers 2B HRC images using control lines
* 2010: Registration and fusion of multiple images acquired with medium format cameras.
* 2012: Bundle Block Adjustment of CBERS-2B HRC Imagery Combining Control Points and Lines
* 2013: Exterior orientation of CBERS-2B imagery using multi-feature control and orbital data
* 2019: Estimating Pasture Biomass and Canopy Height in Brazilian Savanna Using UAV Photogrammetry
* 2019: Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks
* 2019: Predicting Canopy Nitrogen Content in Citrus-Trees Using Random Forest Algorithm Associated to Spectral Vegetation Indices from UAV-Imagery
* 2020: convolutional neural network approach for counting and geolocating citrus-trees in UAV multispectral imagery, A
* 2020: Deep Learning Applied to Water Segmentation
* 2020: Leaf Nitrogen Concentration and Plant Height Prediction for Maize Using UAV-Based Multispectral Imagery and Machine Learning Techniques
* 2020: Learning sequential slice representation with an attention-embedding network for 3D shape recognition and retrieval in MLS point clouds
* 2020: Machine Learning Approach for Mapping Forest Vegetation in Riparian Zones in an Atlantic Biome Environment Using Sentinel-2 Imagery, A
* 2020: Novel Deep Learning Method to Identify Single Tree Species in UAV-Based Hyperspectral Images, A
* 2020: Robust 3D reconstruction of building surfaces from point clouds based on structural and closed constraints
* 2021: Adversarial Unsupervised Domain Adaptation for 3D Semantic Segmentation with Multi-Modal Learning
* 2021: ATSS Deep Learning-Based Approach to Detect Apple Fruits
* 2021: Benchmarking Anchor-Based and Anchor-Free State-of-the-Art Deep Learning Methods for Individual Tree Detection in RGB High-Resolution Images
* 2021: Building Roof Identification CNN Based on Interior-Edge-Adjacency Features Using Hyperspectral Imagery, A
* 2021: Deforestation Detection with Fully Convolutional Networks in the Amazon Forest from Landsat-8 and Sentinel-2 Images
* 2021: Predicting Days to Maturity, Plant Height, and Grain Yield in Soybean: A Machine and Deep Learning Approach Using Multispectral Data
* 2021: Semantic Segmentation of Tree-Canopy in Urban Environment with Pixel-Wise Deep Learning
* 2022: Active Fire Mapping on Brazilian Pantanal Based on Deep Learning and CBERS 04A Imagery
* 2022: BoundaryNet: Extraction and Completion of Road Boundaries With Deep Learning Using Mobile Laser Scanning Point Clouds and Satellite Imagery
* 2022: Rapid Extraction of Urban Road Guardrails from Mobile LiDAR Point Clouds
* 2022: Robust Lane Extraction From MLS Point Clouds Towards HD Maps Especially in Curve Road
Includes: Junior, J.M.[Jose Marcato] Junior, J.M.[José Marcato] Junior, J.M.[J. Marcato] Júnior, J.M.[José Marcato]
25 for Junior, J.M.

Junior, J.R.C. * 2020: Unmanned Aerial Vehicle Location Routing Problem With Charging Stations for Belt Conveyor Inspection System in the Mining Industry
Includes: Junior, J.R.C. Júnior, J.R.C.

Junior, J.S.[Jurandir Santos] * 2011: Improving 3D Reconstruction for Digital Art Preservation

Junior, L.[Leomar] * 2020: Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil

Junior, L.A.P.[Leandro A.Passos] * 2014: On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering
* 2017: Deep Boltzmann Machines Using Adaptive Temperatures
Includes: Junior, L.A.P.[Leandro A.Passos] Júnior, L.A.P.[Leandro A. Passos]

Junior, L.A.Z.[Luiz Antonio Zanlorensi] * 2018: Deep periocular representation aiming video surveillance

Junior, M.A. * 2020: Bibliometric Study of Graphic Variables Used on Tactile Maps, A
Includes: Junior, M.A. Júnior, M.A.

Junior, M.C.S.[Mario C. S.] * 2020: Effects of Color Quantization on JPEG Compression

Junior, N.P.F.[Naziano Pantoja Filizola] * 2021: Spatiotemporal Dynamics of Suspended Sediments in the Negro River, Amazon Basin, from In Situ and Sentinel-2 Remote Sensing Data

Junior, P.A.[Pedro Almeida] * 2020: Spatial Modeling for Homicide Rates Estimation in Pernambuco State-Brazil

Junior, P.F.[Perfilino Ferreira] * 2016: Tsallis Entropy Extraction for Mammographic Region Classification

Junior, P.R.M. * 2019: Prnu-Based Method to Expose Video Device Compositions in Open-Set Setups, A
Includes: Junior, P.R.M. Júnior, P.R.M.

Junior, R.F.[Rogerio Flores] * 2019: Hybrid Chlorophyll-a Algorithm for Assessing Trophic States of a Tropical Brazilian Reservoir Based on MSI/Sentinel-2 Data
* 2019: Retrieving Total and Inorganic Suspended Sediments in Amazon Floodplain Lakes: A Multisensor Approach
Includes: Junior, R.F.[Rogerio Flores] Júnior, R.F.[Rogério Flores]

Junior, S.B.[Sylvio Barbon] * 2018: Strict Very Fast Decision Tree: A memory conservative algorithm for data stream mining
* 2019: meta-learning approach for selecting image segmentation algorithm, A

Junior, W.A.G.[Waldez Azevedo Gomes] * 2012: Algorithm for Highlights Identification and Summarization of Broadcast Soccer Videos, An

Junior, W.S.S.[Waldir S. S.] * 2017: Weak Classifier for Density Estimation in Eye Localization and Tracking
Includes: Junior, W.S.S.[Waldir S. S.] Júnior, W.S.S.[Waldir S. S.]

Index for "j"


Last update:14-Aug-22 22:14:14
Use price@usc.edu for comments.