Goss, A.[Andreas]
* 2020: Adaptive Modeling of the Global Ionosphere Vertical Total Electron Content
* 2021: High-Resolution Ionosphere Corrections for Single-Frequency Positioning
* 2022: Wide-Area GNSS Corrections for Precise Positioning and Navigation in Agriculture
Goss, M.E.[Michael E.]
* 1994: Visualization and Verification of Automatic Target Recognition Results Using Combined Range and Optical Imagery
Goss, R.
* 2004: Face authentication test on the BANCA database
Gossard, D.C.
* 1983: Solid Model Input Through Orthographic Views
* 1993: Computer aided drawing in three dimensions
Includes: Gossard, D.C. Gossard, D.C.[David C.]
Gosse, K.
* 2016: Comparison of 2D and 3D region-based deformable models and random walker methods for PET segmentation
Gosselin, B.
* 2005: Camera-based degraded character segmentation into individual components
* 2005: Color Binarization for Complex Camera-based Images
* 2005: Color text extraction from camera-based images: The impact of the choice of the clustering distance
* 2005: Embedded Application for Degraded Text Recognition, An
* 2005: Model-Guided Segmentation of Opacified Thorax Vessels
* 2006: Character Segmentation-by-Recognition Using Log-Gabor Filters
* 2006: Rarity-Based Visual Attention Map: Application to Texture Description, A
* 2006: Spatial and Color Spaces Combination for Natural Scene Text Extraction
* 2007: Color text extraction with selective metric-based clustering
* 2007: Multifunctional Reading Assistant for the Visually Impaired, A
* 2007: Perceptual Image Representation
* 2011: 3D Saliency for Abnormal Motion Selection: The Role of the Depth Map
* 2011: Abnormal motion selection in crowds using bottom-up saliency
* 2012: Dynamic Saliency Models and Human Attention: A Comparative Study on Videos
* 2012: Rare: A new bottom-up saliency model
* 2013: Biologically plausible context recognition algorithms
* 2013: RARE2012: A multi-scale rarity-based saliency detection with its comparative statistical analysis
* 2013: Saliency and Human Fixations: State-of-the-Art and Study of Comparison Metrics
* 2013: Spatio-temporal saliency based on rare model
* 2016: FUNNRAR: Hybrid rarity/learning visual saliency
* 2016: Wearable Microwave Antenna Array for Time-Domain Breast Tumor Screening, A
* 2017: Audio-visual attention: Eye-tracking dataset and analysis toolbox
* 2018: Do Deep-Learning Saliency Models Really Model Saliency?
* 2020: Wheat Diseases Classification and Localization Using Convolutional Neural Networks and GradCAM Visualization
* 2022: Improve Convolutional Neural Network Pruning by Maximizing Filter Variety
* 2022: One-Cycle Pruning: Pruning Convnets With Tight Training Budget
Includes: Gosselin, B. Gosselin, B.[Bernard]
26 for Gosselin, B.
Gosselin, C.
* 2017: Computer Vision System for Virtual Rehabilitation, A
Gosselin, C.M.
* 1996: On the Development of the Agile Eye
* 2006: Agile Stereo Pair for active vision, The
* 2007: Cable-driven Parallel Mechanism for Capturing Object Appearance from Multiple Viewpoints, A
Includes: Gosselin, C.M. Gosselin, C.M.[Clément M.]
Gosselin, F.[Frederic]
* 2007: Comparing a Transferable Belief Model Capable of Recognizing Facial Expressions with the Latest Human Data
Includes: Gosselin, F.[Frederic] Gosselin, F.[Frédéric]
Gosselin, N.[Nichole]
* 2019: Using Visual Ozone Damage Scores and Spectroscopy to Quantify Soybean Responses to Background Ozone
Gosselin, P.
* 2015: Challenges in Content-Based Image Indexing of Cultural Heritage Collections: Support vector machine active learning with applications to text classification
* 2015: Comparison of Dense Region Detectors for Image Search and Fine-Grained Classification, A
Gosselin, P.H.[Philippe Henri]
* 2004: Retin al: an active learning strategy for image category retrieval
* 2005: Interactive Exploration for Image Retrieval
* 2005: Semantic Kernel Learning for Interactive Image Retrieval
* 2006: Feature-based approach to semi-supervised similarity learning
* 2006: Image Retrieval using Long-Term Semantic Learning
* 2006: Precision-Oriented Active Selection for Interactive Image Retrieval
* 2007: Kernels on bags for multi-object database retrieval
* 2007: Kernels on Bags of Fuzzy Regions for Fast Object retrieval
* 2007: RETIN: a smart interactive digital media retrieval system
* 2007: Stochastic exploration and active learning for image retrieval
* 2008: Active Learning Methods for Interactive Image Retrieval
* 2008: Combining Visual Dictionary, Kernel-Based Similarity and Learning Strategy for Image Category Retrieval
* 2008: Image retrieval with graph kernel on regions
* 2009: FReBIR: An image retrieval system based on fuzzy region matching
* 2010: Active Boosting for Interactive Object Retrieval
* 2010: Indexing of 3d models based on graph of surfacic regions
* 2010: Kernel on Graphs Based on Dictionary of Paths for Image Retrieval
* 2011: Improving image similarity with vectors of locally aggregated tensors
* 2011: Incremental Kernel Learning for Active Image Retrieval Without Global Dictionaries
* 2011: Inexact graph matching based on kernels for object retrieval in image databases
* 2012: Boosting kernel combination for multi-class image categorization
* 2012: Compact tensor based image representation for similarity search
* 2012: Descriptor correlation analysis for remote sensing image multi-scale classification
* 2012: Improving texture description in remote sensing image multi-scale classification tasks by using visual words
* 2012: Multiscale Classification of Remote Sensing Images
* 2012: Online Kernel Learning for Interactive Retrieval in Dynamic Image Databases
* 2012: Using spatial pyramids with compacted VLAT for image categorization
* 2013: 3D shape similarity using vectors of locally aggregated tensors
* 2013: Efficient image signatures and similarities using tensor products of local descriptors
* 2013: Fast Approximation of Distance Between Elastic Curves using Kernels
* 2013: Multi-criteria search algorithm: An efficient approximate k-NN algorithm for image retrieval
* 2013: unified formalism for video descriptors, A
* 2013: Web-Scale Image Retrieval Using Compact Tensor Aggregation of Visual Descriptors
* 2014: Covariance Descriptors for 3D Shape Matching and Retrieval
* 2014: Dimensionality reduction of visual features using sparse projectors for content-based image retrieval
* 2014: Efficient Metric Learning Based Dimension Reduction Using Sparse Projectors for Image Near Duplicate Retrieval
* 2014: Revisiting the Fisher vector for fine-grained classification
* 2014: tensor motion descriptor based on histograms of gradients and optical flow, A
* 2015: unified framework for local visual descriptors evaluation, A
* 2016: integrated descriptor for texture classification, An
* 2016: Local polynomial space-time descriptors for action classification
* 2017: Handcrafted Normalized-Convolution Network for Texture Classification, A
* 2017: Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection
* 2021: Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing
* 2022: SCAF: Skip-Connections in Auto-encoder for Face Alignment with Few Annotated Data
* 2023: S2F2: Self-Supervised High Fidelity Face Reconstruction from Monocular Image
Includes: Gosselin, P.H.[Philippe Henri] Gosselin, P.H.[Philippe-Henri] Gosselin, P.H.[Philippe H.] Gosselin, P.H.
46 for Gosselin, P.H.
Gosselin, S.[Stephane]
* 2009: Signatures of Combinatorial Maps
Includes: Gosselin, S.[Stephane] Gosselin, S.[Stéphane]
Gossen, B.D.[Bruce D.]
* 2022: Human vs. Machine, the Eyes Have It. Assessment of Stemphylium Leaf Blight on Onion Using Aerial Photographs from an NIR Camera
Gosset, M.[Marielle]
* 2018: Assessment of Ground-Reference Data and Validation of the H-SAF Precipitation Products in Brazil
* 2022: Inverse Method for Drop Size Distribution Retrieval from Polarimetric Radar at Attenuating Frequency, An
Gosset, N.
* 2000: Video Compression with Binary Tree Recursive Motion Estimation and Binary Tree Residue Coding
Gossmann, A.[Alexej]
* 2018: FDR-Corrected Sparse Canonical Correlation Analysis With Applications to Imaging Genomics
Gossn, J.I.[Juan I.]
* 2018: Detecting and Quantifying a Massive Invasion of Floating Aquatic Plants in the Río de la Plata Turbid Waters Using High Spatial Resolution Ocean Color Imagery
* 2019: Atmospheric Correction of OLCI Imagery over Extremely Turbid Waters Based on the Red, NIR and 1016 nm Bands and a New Baseline Residual Technique
* 2020: Evaluation of Atmospheric Correction Algorithms for Sentinel-2-MSI and Sentinel-3-OLCI in Highly Turbid Estuarine Waters
* 2021: Atmospheric Correction of Satellite Optical Imagery over the Río de la Plata Highly Turbid Waters Using a SWIR-Based Principal Component Decomposition Technique
Includes: Gossn, J.I.[Juan I.] Gossn, J.I.[Juan Ignacio]
Gossow, D.[David]
* 2011: CAD-model recognition and 6DOF pose estimation using 3D cues
* 2012: Depth-adaptive superpixels
* 2012: Distinctive texture features from perspective-invariant keypoints