Geveci, B.
* 2013: Research Challenges for Visualization Software
* 2013: Ultrascale Visualization of Climate Data
Includes: Geveci, B. Geveci, B.[Berk]
Gevens, A.J.[Amanda J.]
* 2020: Hyperspectral Measurements Enable Pre-Symptomatic Detection and Differentiation of Contrasting Physiological Effects of Late Blight and Early Blight in Potato
Gevers, M.[Maxime]
* 2023: IDTransformer: Transformer for Intrinsic Image Decomposition
Gevers, T.
* 1992: Snigma: an image retrieval system
* 1994: Image Segmentation by Directed Region Subdivision
* 1996: Color-metric pattern-card matching for viewpoint invariant image retrieval
* 1997: Color based object recognition
* 1997: Combining Region Splitting and Edge Detection Through Guided Delaunay Image Subdivision
* 1997: Edge Steered Region Segmentation by Photometric Color Invariant
* 1997: Object Recognition Based on Photometric Color Invariants
* 1997: PicToSeek: A Content-Based Image Search System for the World Wide Web
* 1998: Color Invariant Snakes
* 1998: Image Indexing using Composite Color and Shape Invariant Features
* 1998: Photometric Invariant Region Detection
* 1999: Color-based object recognition
* 1999: Colour Invariance from Multispectral Images
* 1999: Content-Based Image Retrieval by Viewpoint-Invariant Color Indexing
* 1999: Detection and Classification of Hyper-Spectral Edges
* 2000: Classifying Color Transitions Into Shadow-geometry, Illumination, Highlight or Material Edges
* 2000: Color Measurement by Imaging Spectrometry
* 2000: Colour Constancy from Hyper-Spectral Data
* 2000: Image retrieval and segmentation based on color invariants
* 2000: PicToSeek: Combining Color and Shape Invariant Features for Image Retrieval
* 2001: Color Constant Ratio Gradients for Image Segmentation and Similarity of Textured Objects
* 2001: Color Mode Filtering
* 2001: Interactive Retrieval Of Color Images
* 2001: Invariant Representations in Image Processing
* 2001: Robust Histogram Construction from Color Invariants
* 2002: Adaptive Image Segmentation by Combining Photometric Invariant Region and Edge Information
* 2003: Classifying color edges in video into shadow-geometry, highlight, or material transitions
* 2003: Classifying multimedia documents by merging textual and pictorial information
* 2003: Color constancy from physical principles
* 2003: Color edge detection by photometric quasi-invariants
* 2003: Reflectance-based classification of color edges
* 2003: Robust Photometric Invariant Region Detection in Multispectral Images
* 2004: Authentic Emotion Detection in Real-Time Video
* 2004: Authentic facial expression analysis
* 2004: Color for Image Indexing and Retrieval
* 2004: Color invariant density estimation for image segmentation and object tracking
* 2004: Content-Based Image Retrieval: An Overview
* 2004: Robust histogram construction from color invariants for object recognition
* 2004: Robust optical flow from photometric invariants
* 2004: Robust Segmentation and Tracking of Colored Objects in Video
* 2004: Skin detection A bayesian network approach
* 2004: Special Issue: Special Issue on Content-Based Image Retrieval
* 2005: Boosting Saliency in Color Image Features
* 2005: Edge and Corner Detection by Photometric Quasi-Invariants
* 2005: Selection and Fusion of Color Models for Feature Detection
* 2005: Semi-Supervised Face Detection
* 2006: Boosting Color Saliency in Image Feature Detection
* 2006: Combining Color and Shape Information for Illumination-Viewpoint Invariant Object Recognition
* 2006: Corner Detectors for Affine Invariant Salient Regions: Is Color Important?
* 2006: Emotion Recognition Based on Joint Visual and Audio Cues
* 2006: Evaluation of Intensity and Color Corner Detectors for Affine Invariant Salient Regions
* 2006: Robust Photometric Invariant Features From the Color Tensor
* 2007: Authentic facial expression analysis
* 2007: Color Constancy using Image Regions
* 2007: Color Constancy using Natural Image Statistics
* 2007: Do Colour Interest Points Improve Image Retrieval?
* 2007: Edge-Based Color Constancy
* 2007: Selection and Fusion of Color Models for Image Feature Detection
* 2008: Accurate eye center location and tracking using isophote curvature
* 2008: comparison of color features for visual concept classification, A
* 2008: Evaluation of color descriptors for object and scene recognition
* 2008: Perceptual Comparison of Distance Measures for Color Constancy Algorithms, A
* 2009: Color constancy using 3D scene geometry
* 2009: Color constancy using stage classification
* 2009: Image Saliency by Isocentric Curvedness and Color
* 2009: Isocentric color saliency in images
* 2009: Learning photometric invariance from diversified color model ensembles
* 2009: Lonely but attractive: Sparse color salient points for object retrieval and categorization
* 2009: Perceptual analysis of distance measures for color constancy algorithms
* 2009: Physics-based edge evaluation for improved color constancy
* 2009: Robustifying eye center localization by head pose cues
* 2009: Shadow edge detection using geometric and photometric features
* 2009: Vision-based road detection using road models
* 2009: Visual category recognition using Spectral Regression and Kernel Discriminant Analysis
* 2009: Webcam-Based Visual Gaze Estimation
* 2010: 3D Scene priors for road detection
* 2010: Evaluating Color Descriptors for Object and Scene Recognition
* 2010: Generalized Gamut Mapping using Image Derivative Structures for Color Constancy
* 2010: Impact of Color on Bag-of-Words Based Object Recognition, The
* 2010: Learning Photometric Invariance for Object Detection
* 2010: Saliency of color image derivatives: A comparison between computational models and human perception
* 2010: Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges
* 2010: Visual Gaze Estimation by Joint Head and Eye Information
* 2011: Color Constancy Using Natural Image Statistics and Scene Semantics
* 2011: Computational Color Constancy: Survey and Experiments
* 2011: Computer Analysis of Human Behavior
* 2011: Empowering Visual Categorization With the GPU
* 2011: Introduction to the Affect-Based Human Behavior Understanding Special Issue
* 2011: Segmentation as selective search for object recognition
* 2012: Accurate Eye Center Location through Invariant Isocentric Patterns
* 2012: Are You Really Smiling at Me? Spontaneous versus Posed Enjoyment Smiles
* 2012: Color Constancy for Multiple Light Sources
* 2012: Combining Head Pose and Eye Location Information for Gaze Estimation
* 2012: Edge classification using photo-geometric features
* 2012: Improving Color Constancy by Photometric Edge Weighting
* 2012: Improving HOG with Image Segmentation: Application to Human Detection
* 2012: Learning-based encoding with soft assignment for age estimation under unconstrained imaging conditions
* 2012: Object Reading: Text Recognition for Object Recognition
* 2012: Per-patch Descriptor Selection Using Surface and Scene Properties
* 2012: Road Scene Segmentation from a Single Image
* 2012: Semantic Road Segmentation via Multi-scale Ensembles of Learned Features
* 2012: Sparse Color Interest Points for Image Retrieval and Object Categorization
* 2012: Statistical Method for 2-D Facial Landmarking, A
* 2012: Understanding Road Scenes Using Visual Cues and GPS Information
* 2012: What Are You Looking at?: Improving Visual Gaze Estimation by Saliency
* 2013: Calibration-Free Gaze Estimation Using Human Gaze Patterns
* 2013: Effects of chromatic image statistics on illumination induced color differences
* 2013: Evaluating Color Representations for On-Line Road Detection
* 2013: Evaluation of Color STIPs for Human Action Recognition
* 2013: Joint Attention by Gaze Interpolation and Saliency
* 2013: Like Father, Like Son: Facial Expression Dynamics for Kinship Verification
* 2013: Road Geometry Classification by Adaptive Shape Models
* 2013: Selective Search for Object Recognition
* 2014: Color Constancy Using 3D Scene Geometry Derived From a Single Image
* 2014: Combining Priors, Appearance, and Context for Road Detection
* 2014: DENSE sampling of features for image retrieval
* 2014: Evaluation of Color Spatio-Temporal Interest Points for Human Action Recognition
* 2014: Expression-Invariant Age Estimation
* 2014: Extracting Primary Objects by Video Co-Segmentation
* 2014: Geometry-constrained spatial pyramid adaptation for image classification
* 2014: Image Alignment by Piecewise Planar Region Matching
* 2014: Reflectance-Based Segmentation Using Photometric and Illumination Invariants
* 2014: Robustifying Descriptor Instability Using Fisher Vectors
* 2014: Role of Color and Contrast in Facial Age Estimation, The
* 2014: SuperPixel Based Angular Differences as a Mid-level Image Descriptor
* 2015: Age estimation under changes in image quality: An experimental study
* 2015: Color constancy by combining low-mid-high level image cues
* 2015: Color Constancy by Deep Learning
* 2015: Combining Facial Dynamics With Appearance for Age Estimation
* 2015: Estimation of Sunlight Direction Using 3D Object Models
* 2015: Extracting 3D Layout From a Single Image Using Global Image Structures
* 2015: Per-patch metric learning for robust image matching
* 2015: Recognition of Genuine Smiles
* 2015: SuperPixel based mid-level image description for image recognition
* 2016: Detect2Rank: Combining Object Detectors Using Learning to Rank
* 2017: Auto-Calibrated Gaze Estimation Using Human Gaze Patterns
* 2017: Con-Text: Text Detection for Fine-Grained Object Classification
* 2017: Point Light Source Position Estimation From RGB-D Images by Learning Surface Attributes
* 2017: Words Matter: Scene Text for Image Classification and Retrieval
* 2018: 3DContextNet: K-d Tree Guided Hierarchical Learning of Point Clouds Using Local and Global Contextual Cues
* 2018: CNN Based Learning Using Reflection and Retinex Models for Intrinsic Image Decomposition
* 2018: Expression-Invariant Age Estimation Using Structured Learning
* 2018: Joint Learning of Intrinsic Images and Semantic Segmentation
* 2018: Second Workshop on 3D Reconstruction Meets Semantics: Challenge Results Discussion, The
* 2019: Pose and Expression Robust Age Estimation via 3D Face Reconstruction from a Single Image
* 2020: Automatic Estimation of Taste Liking Through Facial Expression Dynamics
* 2020: Joint 3d Layout and Depth Prediction from a Single Indoor Panorama Image
* 2020: Kinship Identification Through Joint Learning Using Kinship Verification Ensembles
* 2020: MMD Based Discriminative Learning for Face Forgery Detection
* 2020: On the benefit of adversarial training for monocular depth estimation
* 2020: Unified Application of Style Transfer for Face Swapping and Reenactment
* 2021: Automatic Calibration of the Fisheye Camera for Egocentric 3D Human Pose Estimation from a Single Image
* 2021: Automatic generation of dense non-rigid optical flow
* 2021: EDEN: Multimodal Synthetic Dataset of Enclosed GarDEN Scenes
* 2021: Generative Models for Multi-Illumination Color Constancy
* 2021: Identity Unbiased Deception Detection by 2D-to-3D Face Reconstruction
* 2021: Multi-Loss Weighting with Coefficient of Variations
* 2021: Object features and face detection performance: Analyses with 3D-rendered synthetic data
* 2021: Orthographic Projection Linear Regression for Single Image 3D Human Pose Estimation
* 2021: Physics-based shading reconstruction for intrinsic image decomposition
* 2021: Pose invariant age estimation of face images in the wild
* 2021: ShadingNet: Image Intrinsics by Fine-Grained Shading Decomposition
* 2022: Intrinsic image decomposition using physics-based cues and CNNs
* 2022: Multi-person 3D pose estimation from a single image captured by a fisheye camera
* 2022: PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition
* 2022: Self-Supervised Face Image Manipulation by Conditioning GAN on Face Decomposition
* 2022: Signet: Intrinsic Image Decomposition by a Semantic and Invariant Gradient Driven Network for Indoor Scenes
* 2023: APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds
* 2023: Geometric Back-Propagation in Morphological Neural Networks
* 2023: Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction
* 2023: IDTransformer: Transformer for Intrinsic Image Decomposition
* 2023: Interactive Learning of Intrinsic and Extrinsic Properties for All-Day Semantic Segmentation
* 2023: Intrinsic Appearance Decomposition Using Point Cloud Representation
* 2023: Learning rotation equivalent scene representation from instance-level semantics: A novel top-down perspective
* 2023: Relational Prior Knowledge Graphs for Detection and Instance Segmentation
* 2023: Temporally Consistent Semantic Segmentation using Spatially Aware Multi-view Semantic Fusion for Indoor RGB-D videos
* 2024: Kinship similarity for open sets
Includes: Gevers, T. Gevers, T.[Theo]
177 for Gevers, T.