Index for gu_i

Gu, I.H. Co Author Listing * Colour Image Segmentation Using Adaptive Mean Shift Filters

Gu, I.Y. Co Author Listing * 3D Multi-Scale Convolutional Networks for Glioma Grading Using MR Images

Gu, I.Y.H.[Irene Yu Hua] Co Author Listing * Adaptive Multi-Level Region Merging for Salient Object Detection
* Bayesian online learning on Riemannian manifolds using a dual model with applications to video object tracking
* Combining Foreground / Background Feature Points and Anisotropic Mean Shift For Enhanced Visual Object Tracking
* Detecting and locating landmine fields from vehicle- and air-borne measured IR Images
* Efficient Sequential Approach to Tracking Multiple Objects Through Crowds for Real-Time Intelligent CCTV Systems, An
* Enhanced Landmine Detection from Low Resolution IR Image Sequences
* Error-Resilient Packet Video Coding Using Harmonic Frame-Expansions and Temporal Prediction
* Face tracking using Rao-Blackwellized particle filter and pose-dependent probabilistic PCA
* Foreground object detection in changing background based on color co-occurrence statistics
* Geodesic saliency propagation for image salient region detection
* Graph Construction for Salient Object Detection in Videos
* Grassmann manifold online learning and partial occlusion handling for visual object tracking under Bayesian formulation
* Human fall detection in videos via boosting and fusing statistical features of appearance, shape and motion dynamics on Riemannian manifolds with applications to assisted living
* Human fall detection via shape analysis on Riemannian manifolds with applications to elderly care
* Intelligent Video Surveillance for Detecting Snow and Ice Coverage on Electrical Insulators of Power Transmission Lines
* Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas
* Joint Random Sample Consensus and Multiple Motion Models for Robust Video Tracking
* ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift
* Multi-class ada-boost classification of object poses through visual and infrared image information fusion
* Multi-stream Convolutional Autoencoder and 2D Generative Adversarial Network for Glioma Classification
* Multiresolution feature detection using a family of isotropic bandpass filters
* Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling
* Normalized cut-based saliency detection by adaptive multi-level region merging
* Object Recognition and Motion Estimation via Joint Segmentation and B-Spline Contour Matching
* Online detection of snow coverage and swing angles of electrical insulators on power transmission lines using videos
* Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds
* Pedestrian Detection Using Augmented Training Data
* Privacy-Preserving Fall Detection in Healthcare Using Shape and Motion Features from Low-Resolution RGB-D Videos
* Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection
* Region-Based Statistical Background Modeling for Foreground Object Segmentation
* Riemannian manifold-based support vector machine for human activity classification in images
* Riemannian manifold-valued part-based features and geodesic-induced kernel machine for activity classification dedicated to assisted living
* Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters
* Saliency Detection by Fully Learning a Continuous Conditional Random Field
* Salient object detection using normalized cut and geodesics
* Salient Object Detection via Color Contrast and Color Distribution
* Statistical Modeling of Complex Backgrounds for Foreground Object Detection
* Superpixel based color contrast and color distribution driven salient object detection
* Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling
* Visual object tracking with online learning on Riemannian manifolds by one-class support vector machines
* Visual tracking and dynamic learning on the Grassmann manifold with inference from a Bayesian framework and state space models
* Visual Tracking via Nonnegative Regularization Multiple Locality Coding
Includes: Gu, I.Y.H.[Irene Yu Hua] Gu, I.Y.H.[Irene Yu-Hua] Gu, I.Y.H. Gu, I.Y.H.[Irene Y.H.] Gu, I.Y.H.[Irene Y. H.]
42 for Gu, I.Y.H.

Index for "g"


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