default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDIrene Y. H. Gu
Irene Yu-Hua Gu – Yu-Hua Gu
Person information
- affiliation: Chalmers University of Technology, Department of Signals and Systems, Gothenburg, Sweden
- affiliation (PhD 1992): Eindhoven University of Technology, The Netherlands
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j37]Kristoffer Fürst
, Peiyuan Chen, Irene Yu-Hua Gu:
Hierarchical LSTM-Based Classification of Household Heating Types Using Measurement Data. IEEE Trans. Smart Grid 15(2): 2261-2270 (2024)- 2022
- [j36]Muhaddisa Barat Ali, Xiaohan Bai, Irene Yu-Hua Gu, Mitchel S. Berger, Asgeir Store Jakola:
A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas. Sensors 22(14): 5292 (2022) - 2021
- [j35]Chenjie Ge, Roger Alves de Oliveira, Irene Yu-Hua Gu, Math H. J. Bollen:
Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - 2020
- [j34]Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola, Jie Yang:
Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification. IEEE Access 8: 22560-22570 (2020) - [j33]Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola, Jie Yang:
Deep semi-supervised learning for brain tumor classification. BMC Medical Imaging 20(1): 87 (2020)
2010 – 2019
- 2019
- [j32]Chenjie Ge, Qixun Qu, Irene Yu-Hua Gu, Asgeir Store Jakola:
Multi-stream multi-scale deep convolutional networks for Alzheimer's disease detection using MR images. Neurocomputing 350: 60-69 (2019) - [j31]Keren Fu, Qijun Zhao, Irene Yu-Hua Gu, Jie Yang:
Deepside: A general deep framework for salient object detection. Neurocomputing 356: 69-82 (2019) - [j30]Matjaz Gams, Irene Yu-Hua Gu, Aki Härmä, Andrés Muñoz, Vincent W. L. Tam:
Artificial intelligence and ambient intelligence. J. Ambient Intell. Smart Environ. 11(1): 71-86 (2019) - [j29]Keren Fu, Qijun Zhao, Irene Yu-Hua Gu:
Refinet: A Deep Segmentation Assisted Refinement Network for Salient Object Detection. IEEE Trans. Multim. 21(2): 457-469 (2019) - [c91]Muhaddisa Barat Ali, Irene Yu-Hua Gu, Asgeir Store Jakola:
Multi-stream Convolutional Autoencoder and 2D Generative Adversarial Network for Glioma Classification. CAIP (1) 2019: 234-245 - [c90]Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola, Jie Yang:
Cross-Modality Augmentation of Brain Mr Images Using a Novel Pairwise Generative Adversarial Network for Enhanced Glioma Classification. ICIP 2019: 559-563 - [c89]Chenjie Ge, Qixun Qu, Irene Yu-Hua Gu, Asgeir Store Jakola:
Multiscale Deep Convolutional Networks for Characterization and Detection of Alzheimer's Disease Using MR images. ICIP 2019: 789-793 - 2018
- [j28]Keren Fu, Irene Yu-Hua Gu, Jie Yang:
Spectral salient object detection. Neurocomputing 275: 788-803 (2018) - [c88]Chenjie Ge, Irene Yu-Hua Gu, Jie Yang:
Co-Saliency-Enhanced Deep Recurrent Convolutional Networks for Human Fall Detection in E-Healthcare. EMBC 2018: 1572-1575 - [c87]Chenjie Ge, Irene Yu-Hua Gu, Asgeir Store Jakola, Jie Yang:
Deep Learning and Multi-Sensor Fusion for Glioma Classification Using Multistream 2D Convolutional Networks. EMBC 2018: 5894-5897 - [c86]Chenjie Ge, Qixun Qu, Irene Yu-Hua Gu, Asgeir Store Jakola:
3D Multi-Scale Convolutional Networks for Glioma Grading Using MR Images. ICIP 2018: 141-145 - [c85]Karl Bäckström, Mahmood Nazari, Irene Yu-Hua Gu, Asgeir Store Jakola:
An efficient 3D deep convolutional network for Alzheimer's disease diagnosis using MR images. ISBI 2018: 149-153 - 2017
- [j27]Yixiao Yun, Irene Yu-Hua Gu:
Riemannian manifold-valued part-based features and geodesic-induced kernel machine for activity classification dedicated to assisted living. Comput. Vis. Image Underst. 161: 65-76 (2017) - [j26]Yixiao Yun, Irene Yu-Hua Gu:
Time-dependent bag of words on manifolds for geodesic-based classification of video activities towards assisted living and healthcare. EURASIP J. Image Video Process. 2017: 72 (2017) - [j25]Keren Fu, Irene Yu-Hua Gu, Jie Yang:
Saliency Detection by Fully Learning a Continuous Conditional Random Field. IEEE Trans. Multim. 19(7): 1531-1544 (2017) - [c84]Azam Bagheri, Math H. J. Bollen, Irene Y. H. Gu:
Big data from smart grids. ISGT Europe 2017: 1-5 - [c83]Chenjie Ge, Irene Yu-Hua Gu, Jie Yang:
Human fall detection using segment-level cnn features and sparse dictionary learning. MLSP 2017: 1-6 - 2016
- [j24]Yixiao Yun, Irene Yu-Hua Gu:
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. Comput. Vis. Image Underst. 148: 111-122 (2016) - [j23]Keren Fu, Irene Y. H. Gu, Chen Gong, Jie Yang:
Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction. Neurocomputing 175: 336-347 (2016) - [j22]Yixiao Yun, Irene Yu-Hua Gu:
Human fall detection in videos by fusing statistical features of shape and motion dynamics on Riemannian manifolds. Neurocomputing 207: 726-734 (2016) - [j21]Mohammad Alipoor, Irene Yu-Hua Gu, Stephan E. Maier, Göran Starck, Andrew Mehnert, Fredrik Kahl:
Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging. IEEE Trans. Computational Imaging 2(3): 375-391 (2016) - [c82]Irene Yu-Hua Gu, Grzegorz Sowulewski, Yixiao Yun, Anders Flisberg, Magnus Thordstein:
3D limb movement tracking and analysis for neurological dysfunctions of neonates using multi-camera videos. EMBC 2016: 2395-2398 - [c81]Yixiao Yun, Irene Yu-Hua Gu:
Exploiting riemannian manifolds for daily activity classification in video towards health care. HealthCom 2016: 1-6 - [c80]Durga Priya Kumar, Yixiao Yun, Irene Yu-Hua Gu:
Fall detection in RGB-D videos by combining shape and motion features. ICASSP 2016: 1337-1341 - [c79]Fanghui Liu, Tao Zhou, Keren Fu, Irene Y. H. Gu, Jie Yang:
Robust visual tracking via inverse nonnegative matrix factorization. ICASSP 2016: 1491-1495 - [c78]Keren Fu, Irene Y. H. Gu, Jie Yang:
Learning full-range affinity for diffusion-based saliency detection. ICASSP 2016: 1926-1930 - [c77]Irene Yu-Hua Gu, Durga Priya Kumar, Yixiao Yun:
Privacy-Preserving Fall Detection in Healthcare Using Shape and Motion Features from Low-Resolution RGB-D Videos. ICIAR 2016: 490-499 - [c76]Keren Fu, Irene Y. H. Gu, Anders C. E. Ödblom, Feng Liu:
Geodesic distance transform-based salient region segmentation for automatic traffic sign recognition. Intelligent Vehicles Symposium 2016: 948-953 - 2015
- [j20]Keren Fu, Chen Gong, Irene Yu-Hua Gu, Jie Yang:
Normalized Cut-Based Saliency Detection by Adaptive Multi-Level Region Merging. IEEE Trans. Image Process. 24(12): 5671-5683 (2015) - [c75]Yixiao Yun, Christopher Innocenti, Gustav Nero, Henrik Lindén, Irene Yu-Hua Gu:
Fall detection in RGB-D videos for elderly care. HealthCom 2015: 422-427 - [c74]Long Xu, Irene Yu-Hua Gu, Anders Flisberg, Magnus Thordstein:
Video-based tracking and quantified assessment of spontaneous limb movements in neonates. HealthCom 2015: 517-522 - [c73]Fanghui Liu, Tao Zhou, Jie Yang, Irene Y. H. Gu:
Visual Tracking via Nonnegative Regularization Multiple Locality Coding. ICCV Workshops 2015: 912-920 - [c72]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang, Pengfei Shi:
Salient object detection using normalized cut and geodesics. ICIP 2015: 1100-1104 - [c71]Yixiao Yun, Irene Yu-Hua Gu:
Human fall detection via shape analysis on Riemannian manifolds with applications to elderly care. ICIP 2015: 3280-3284 - [c70]Mohammad Alipoor, Irene Y. H. Gu:
Determinant of the information matrix: A new rotation invariant optimality metric to design gradient encoding schemes. ISBI 2015: 462-465 - [c69]Mohammad Alipoor, Irene Y. H. Gu:
Icosahedral gradient encoding scheme for an arbitrary number of measurements. ISBI 2015: 959-962 - [c68]Keren Fu, Irene Y. H. Gu, Anders C. E. Ödblom:
Traffic sign recognition using salient region features: A novel learning-based coarse-to-fine scheme. Intelligent Vehicles Symposium 2015: 443-448 - [i1]Fanghui Liu, Tao Zhou, Irene Y. H. Gu, Jie Yang:
Visual Tracking via Nonnegative Regularization Multiple Locality Coding. CoRR abs/1510.01148 (2015) - 2014
- [j19]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Online domain-shift learning and object tracking based on nonlinear dynamic models and particle filters on Riemannian manifolds. Comput. Vis. Image Underst. 125: 97-114 (2014) - [c67]Keren Fu, Chen Gong, Yixiao Yun, Yijun Li, Irene Yu-Hua Gu, Jie Yang, Jingyi Yu:
Adaptive Multi-Level Region Merging for Salient Object Detection. BMVC 2014 - [c66]Keren Fu, Kai Xie, Chen Gong, Irene Y. H. Gu, Jie Yang:
Effective small DIM target detection by local connectedness constraint. ICASSP 2014: 8110-8114 - [c65]Keren Fu, Irene Y. H. Gu, Anders C. E. Ödblom:
Automatic traffic sign recognition based on saliency-enhanced features and SVMs from incrementally built dataset. ICCVE 2014: 947-952 - [c64]Yixiao Yun, Keren Fu, Irene Yu-Hua Gu, Hamid K. Aghajan, Jie Yang:
Human Activity Recognition in Images using SVMs and Geodesics on Smooth Manifolds. ICDSC 2014: 20:1-20:6 - [c63]Irene Yu-Hua Gu, Zulfiqar Hassan Khan:
Employing Particle Filters on Riemannian Manifolds for Online Domain-Shift Object Learning and Occlusion Handling. ICDSC 2014: 37:1-37:6 - [c62]Yixiao Yun, Keren Fu, Irene Yu-Hua Gu, Jie Yang:
Visual object tracking with online learning on Riemannian manifolds by one-class support vector machines. ICIP 2014: 1902-1906 - [c61]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang, Xiangjian He:
Spectral salient object detection. ICME 2014: 1-6 - [c60]Keren Fu, Irene Y. H. Gu, Yixiao Yun, Chen Gong, Jie Yang:
Graph Construction for Salient Object Detection in Videos. ICPR 2014: 2371-2376 - [c59]Jonas Nilsson, Patrik Andersson, Irene Y. H. Gu, Jonas Fredriksson:
Pedestrian Detection Using Augmented Training Data. ICPR 2014: 4548-4553 - 2013
- [j18]Yixiao Yun, Irene Yu-Hua Gu, Hamid K. Aghajan:
Multi-View ML Object Tracking With Online Learning on Riemannian Manifolds by Combining Geometric Constraints. IEEE J. Emerg. Sel. Topics Circuits Syst. 3(2): 185-197 (2013) - [j17]Keren Fu, Chen Gong, Yu Qiao, Jie Yang, Irene Yu-Hua Gu:
One-class support vector machine-assisted robust tracking. J. Electronic Imaging 22(2): 023002 (2013) - [j16]Keren Fu, Chen Gong, Jie Yang, Yue Zhou, Irene Yu-Hua Gu:
Superpixel based color contrast and color distribution driven salient object detection. Signal Process. Image Commun. 28(10): 1448-1463 (2013) - [j15]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Nonlinear Dynamic Model for Visual Object Tracking on Grassmann Manifolds With Partial Occlusion Handling. IEEE Trans. Cybern. 43(6): 2005-2019 (2013) - [c58]Mohammad Alipoor, Irene Y. H. Gu, Andrew J. H. Mehnert, Ylva Lilja, Daniel Nilsson:
On high order tensor-based diffusivity profile estimation. EMBC 2013: 93-96 - [c57]Tomas Bengtsson, Tomas McKelvey, Irene Yu-Hua Gu:
Super-Resolution reconstruction of High Dynamic Range images with perceptual weighting of errors. ICASSP 2013: 2212-2216 - [c56]Irene Yu-Hua Gu, Mikhail Bolbat:
Road traffic tracking and parameter estimation based on visual information analysis using self-calibrated camera views. ICDSC 2013: 1-6 - [c55]Yixiao Yun, Irene Yu-Hua Gu, Julien Provost, Knut Åkesson:
Multi-view hand tracking using epipolar geometry-based consistent labeling for an industrial application. ICDSC 2013: 1-6 - [c54]Keren Fu, Chen Gong, Irene Y. H. Gu, Jie Yang:
Geodesic saliency propagation for image salient region detection. ICIP 2013: 3278-3282 - [c53]Yixiao Yun, Irene Yu-Hua Gu, Hamid K. Aghajan:
Riemannian manifold-based support vector machine for human activity classification in images. ICIP 2013: 3466-3469 - [c52]Mohammad Alipoor, Irene Yu-Hua Gu, Andrew J. H. Mehnert, Ylva Lilja, Daniel Nilsson:
Optimal Diffusion Tensor Imaging with Repeated Measurements. MICCAI (1) 2013: 687-694 - 2012
- [c51]Tomas Bengtsson, Irene Yu-Hua Gu, Mats Viberg, Konstantin Lindström:
Regularized optimization for joint super-resolution and high dynamic range image reconstruction in a perceptually uniform domain. ICASSP 2012: 1097-1100 - [c50]Yixiao Yun, Irene Y. H. Gu:
Multi-view face pose classification by boosting with weak hypothesis fusion using visual and infrared images. ICASSP 2012: 1949-1952 - [c49]Yixiao Yun, Irene Yu-Hua Gu, Hamid K. Aghajan:
Maximum-likelihood object tracking from multi-view video by combining homography and epipolar constraints. ICDSC 2012: 1-6 - [c48]Irene Y. H. Gu, Zulfiqar Hassan Khan:
Grassmann manifold online learning and partial occlusion handling for visual object tracking under Bayesian formulation. ICPR 2012: 1463-1466 - [c47]Mohamed H. Changrampadi, Yixiao Yun, Irene Y. H. Gu:
Multi-class ada-boost classification of object poses through visual and infrared image information fusion. ICPR 2012: 2865-2868 - 2011
- [j14]Zulfiqar Hassan Khan, Irene Yu-Hua Gu, Andrew G. Backhouse:
Robust Visual Object Tracking Using Multi-Mode Anisotropic Mean Shift and Particle Filters. IEEE Trans. Circuits Syst. Video Technol. 21(1): 74-87 (2011) - [j13]Zulfiqar Hassan Khan, Irene Yu-Hua Gu, Andrew G. Backhouse:
A Robust Particle Filter-Based Method for Tracking Single Visual Object Through Complex Scenes Using Dynamical Object Shape and Appearance Similarity. J. Signal Process. Syst. 65(1): 63-79 (2011) - [c46]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Adaptive appearance learning for visual object tracking. ICASSP 2011: 1413-1416 - [c45]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Bayesian online learning on Riemannian manifolds using a dual model with applications to video object tracking. ICCV Workshops 2011: 1402-1409 - [c44]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Tracking visual and infrared objects using joint Riemannian manifold appearance and affine shape modeling. ICCV Workshops 2011: 1847-1854 - [c43]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Visual trackingand dynamic learning on the Grassmann manifold with inference from a Bayesian framework and state space models. ICIP 2011: 1433-1436 - [c42]Irene Y. H. Gu, Math H. J. Bollen, Cuong D. Le:
Signal processing and classification tools for intelligent distributed monitoring and analysis of the smart grid. ISGT Europe 2011: 1-7 - 2010
- [j12]Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Joint feature correspondences and appearance similarity for robust visual object tracking. IEEE Trans. Inf. Forensics Secur. 5(3): 591-606 (2010) - [c41]Sebastian Haner, Irene Yu-Hua Gu:
Combining Foreground / Background Feature Points and Anisotropic Mean Shift For Enhanced Visual Object Tracking. ICPR 2010: 3488-3491
2000 – 2009
- 2009
- [j11]Math H. J. Bollen, Irene Y. H. Gu, Surya Santoso, Mark F. McGranaghan, Peter A. Crossley, Moisés Vidal Ribeiro, Paulo Fernando Ribeiro:
Bridging the gap between signal and power. IEEE Signal Process. Mag. 26(4): 12-31 (2009) - [c40]Irene Y. H. Gu, Unai Sistiaga, Sonja M. Berlijn, Anders Fahlström:
Intelligent Video Surveillance for Detecting Snow and Ice Coverage on Electrical Insulators of Power Transmission Lines. CAIP 2009: 1179-1187 - [c39]Tiesheng Wang, Irene Yu-Hua Gu, Tardi Tjahjadi:
Enhanced Landmine Detection from Low Resolution IR Image Sequences. CAIP 2009: 1236-1244 - [c38]Irene Y. H. Gu, Martin Billeter, Mohammad Reza Sharafy, Vahid A. Sorkhabi, Jonas Fredriksson, Doroteya K. Staykova:
Parameter estimation of multidimensional NMR signals based on high-resolution subband analysis of 2D NMR projections. ICASSP 2009: 497-500 - [c37]Irene Y. H. Gu, Unai Sistiaga, Sonja M. Berlijn, Anders Fahlström:
Online detection of snowcoverage and swing angles of electrical insulators on power transmission lines using videos. ICIP 2009: 3249-3252 - [c36]Zulfiqar Hassan Khan, Irene Y. H. Gu, Andrew G. Backhouse:
Joint particle filters and multi-mode anisotropic mean shift for robust tracking of video objects with partitioned areas. ICIP 2009: 4077-4080 - [c35]Zulfiqar Hassan Khan, Irene Y. H. Gu, Tiesheng Wang, Andrew G. Backhouse:
Joint anisotropic mean shift and consensus point feature correspondences for object tracking in video. ICME 2009: 1270-1273 - [c34]Tiesheng Wang, Irene Y. H. Gu, Zulfiqar Hassan Khan, Pengfei Shi:
Adaptive particle filters for visual object tracking using joint PCA appearance model and consensus point correspondences. ICME 2009: 1370-1373 - [c33]Andrew G. Backhouse, Zulfiqar Hassan Khan, Irene Yu-Hua Gu:
Robust Object Tracking Using Particle Filters and Multi-region Mean Shift. PCM 2009: 393-403 - [c32]Petter Strandmark, Irene Y. H. Gu:
Joint Random Sample Consensus and Multiple Motion Models for Robust Video Tracking. SCIA 2009: 450-459 - 2008
- [j10]Liyuan Li, Weimin Huang, Irene Y. H. Gu, Ruijiang Luo, Qi Tian:
An Efficient Sequential Approach to Tracking Multiple Objects Through Crowds for Real-Time Intelligent CCTV Systems. IEEE Trans. Syst. Man Cybern. Part B 38(5): 1254-1269 (2008) - [c31]Tiesheng Wang, Andrew G. Backhouse, Irene Y. H. Gu:
Online subspace learning on Grassmann manifold for moving object tracking in video. ICASSP 2008: 969-972 - [c30]Irene Y. H. Gu, Henrik Andersson, Raúl Vicen:
Automatic Classification of Wood Defects Using Support Vector Machines. ICCVG 2008: 356-367 - [c29]Irene Y. H. Gu, Unai Sistiaga, Sonja M. Berlijn, Anders Fahlström:
Automatic Surveillance and Analysis of Snow and Ice Coverage on Electrical Insulators of Power Transmission Lines. ICCVG 2008: 368-379 - [c28]Tiesheng Wang, Irene Y. H. Gu, Andrew G. Backhouse, Pengfei Shi:
Face tracking using Rao-Blackwellized particle filter and pose-dependent probabilistic PCA. ICIP 2008: 853-856 - 2007
- [j9]Math H. J. Bollen, Irene Y. H. Gu, Peter G. V. Axelberg, Emmanouil Styvaktakis:
Classification of Underlying Causes of Power Quality Disturbances: Deterministic versus Statistical Methods. EURASIP J. Adv. Signal Process. 2007 (2007) - [j8]Kyeon Hur, Surya Santoso, Irene Y. H. Gu:
On the Empirical Estimation of Utility Distribution Damping Parameters Using Power Quality Waveform Data. EURASIP J. Adv. Signal Process. 2007 (2007) - [j7]Moisés Vidal Ribeiro, Jacques Szczupak, M. Reza Iravani, Irene Y. H. Gu, Pradipta Kishore Dash, Alexander V. Mamishev:
Emerging Signal Processing Techniques for Power Quality Applications. EURASIP J. Adv. Signal Process. 2007 (2007) - [c27]Tiesheng Wang, Irene Y. H. Gu, Mats Viberg, Zhongping Cao, Nuan Song:
Tracking moving objects in video using enhanced mean shift and region-based motion field. EUSIPCO 2007: 307-311 - [c26]Tiesheng Wang, Irene Y. H. Gu, Pengfei Shi:
Object Tracking using Incremental 2D-PCA Learning and ML Estimation. ICASSP (1) 2007: 933-936 - [c25]Andy Backhouse, Irene Y. H. Gu, Tiesheng Wang:
ML Nonlinear Smoothing for Image Segmentation and its Relationship to the Mean Shift. ICIP (4) 2007: 337-340 - [c24]Tiesheng Wang, Irene Y. H. Gu, Andrew G. Backhouse, Pengfei Shi:
Moving Object Tracking from Videos Based on Enhanced Space-Time-Range Mean Shift and Motion Consistency. ICME 2007: 2002-2005 - [c23]Ruijiang Luo, Liyuan Li, Irene Y. H. Gu:
Efficient Adaptive Background Subtraction Based on Multi-resolution Background Modelling and Updating. PCM 2007: 118-127 - 2006
- [j6]Andrew G. Backhouse, Irene Y. H. Gu:
Bayesian traffic dynamics and packet loss prediction for video over IP networks. Multim. Syst. 11(5): 468-479 (2006) - [c22]Nuan Song, Irene Y. H. Gu, Zhongping Cao, Mats Viberg:
Enhanced spatial-range mean shift color image segmentation by using convergence frequency and position. EUSIPCO 2006: 1-5 - [c21]Shuo Feng, Hamid Krim, Irene Y. H. Gu, Mats Viberg:
3D Face Recognition Using Affine Integral Invariants. ICASSP (2) 2006: 189-192 - [c20]Kristof Op De Beeck, Irene Y. H. Gu, Liyuan Li, Mats Viberg, Bart De Moor:
Region-Based Statistical Background Modeling for Foreground Object Segmentation. ICIP 2006: 3317-3320 - [c19]Anders Gunnarsson, Irene Y. H. Gu:
Music Signal Synthesis using Sinusoid Models and Sliding-Window Esprit. ICME 2006: 1389-1392 - [c18]Irene Y. H. Gu, Vasile Gui, Zhifei Xu:
Video Segmentation Using Joint Space-Time-Range Adaptive Mean Shift. PCM 2006: 740-748 - [c17]Zhifei Xu, Pengfei Shi, Irene Y. H. Gu:
An Eigenbackground Subtraction Method Using Recursive Error Compensation. PCM 2006: 779-787 - 2005
- [c16]Andrew G. Backhouse, Irene Y. H. Gu:
Error-resilient packet video coding using harmonic frame-expansions and temporal prediction. ICIP (1) 2005: 185-186 - [c15]Andrew G. Backhouse, Irene Y. H. Gu:
Network-Adaptive Frame-Expansion-Based Packet Video Coding for Erasure Channels. ICME 2005: 1334-1337 - 2004
- [j5]Liyuan Li, Weimin Huang, Irene Y. H. Gu, Qi Tian:
Statistical modeling of complex backgrounds for foreground object detection. IEEE Trans. Image Process. 13(11): 1459-1472 (2004) - [c14]Andy Backhouse, Irene Y. H. Gu:
A Bayesian framework-based end-to-end packet loss prediction in IP networks. ISMSE 2004: 35-42 - 2003
- [c13]