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Irene 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
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2020 – today
- 2024
- [j37]Kristoffer Fürst
, Peiyuan Chen
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
A Feasibility Study on Deep Learning Based Brain Tumor Segmentation Using 2D Ellipse Box Areas. Sensors 22(14): 5292 (2022) - 2021
- [j35]Chenjie Ge
Deep Feature Clustering for Seeking Patterns in Daily Harmonic Variations. IEEE Trans. Instrum. Meas. 70: 1-10 (2021) - 2020
- [j34]Chenjie Ge
Enlarged Training Dataset by Pairwise GANs for Molecular-Based Brain Tumor Classification. IEEE Access 8: 22560-22570 (2020) - [j33]Chenjie Ge
Deep semi-supervised learning for brain tumor classification. BMC Medical Imaging 20(1): 87 (2020)
2010 – 2019
- 2019
- [j32]Chenjie Ge
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
Deepside: A general deep framework for salient object detection. Neurocomputing 356: 69-82 (2019) - [j30]Matjaz Gams, Irene Yu-Hua Gu
Artificial intelligence and ambient intelligence. J. Ambient Intell. Smart Environ. 11(1): 71-86 (2019) - [j29]Keren Fu
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
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
Spectral salient object detection. Neurocomputing 275: 788-803 (2018) - [c88]Chenjie Ge, Irene Yu-Hua Gu
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
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
3D Multi-Scale Convolutional Networks for Glioma Grading Using MR Images. ICIP 2018: 141-145 - [c85]Karl Bäckström, Mahmood Nazari, Irene Yu-Hua Gu
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
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
Human fall detection using segment-level cnn features and sparse dictionary learning. MLSP 2017: 1-6 - 2016
- [j24]Yixiao Yun
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
Robust manifold-preserving diffusion-based saliency detection by adaptive weight construction. Neurocomputing 175: 336-347 (2016) - [j22]Yixiao Yun
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
Optimal Gradient Encoding Schemes for Diffusion Tensor and Kurtosis Imaging. IEEE Trans. Computational Imaging 2(3): 375-391 (2016) - [c82]Irene Yu-Hua Gu
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
Robust visual tracking via inverse nonnegative matrix factorization. ICASSP 2016: 1491-1495 - [c78]Keren Fu, Irene Y. H. Gu
Learning full-range affinity for diffusion-based saliency detection. ICASSP 2016: 1926-1930 - [c77]Irene Yu-Hua Gu
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
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
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
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
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
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
Effective small DIM target detection by local connectedness constraint. ICASSP 2014: 8110-8114 - [c65]Keren Fu, Irene Y. H. Gu
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
Human Activity Recognition in Images using SVMs and Geodesics on Smooth Manifolds. ICDSC 2014: 20:1-20:6 - [c63]Irene Yu-Hua Gu
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
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
Spectral salient object detection. ICME 2014: 1-6 - [c60]Keren Fu, Irene Y. H. Gu
Graph Construction for Salient Object Detection in Videos. ICPR 2014: 2371-2376 - [c59]Jonas Nilsson, Patrik Andersson, Irene Y. H. Gu
Pedestrian Detection Using Augmented Training Data. ICPR 2014: 4548-4553 - 2013
- [j18]Yixiao Yun, Irene Yu-Hua Gu
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
On high order tensor-based diffusivity profile estimation. EMBC 2013: 93-96 - [c57]Tomas Bengtsson, Tomas McKelvey
Super-Resolution reconstruction of High Dynamic Range images with perceptual weighting of errors. ICASSP 2013: 2212-2216 - [c56]Irene Yu-Hua Gu
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
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
Geodesic saliency propagation for image salient region detection. ICIP 2013: 3278-3282 - [c53]Yixiao Yun, Irene Yu-Hua Gu
Riemannian manifold-based support vector machine for human activity classification in images. ICIP 2013: 3466-3469 - [c52]Mohammad Alipoor, Irene Yu-Hua Gu
Optimal Diffusion Tensor Imaging with Repeated Measurements. MICCAI (1) 2013: 687-694 - 2012
- [c51]Tomas Bengtsson, Irene Yu-Hua Gu
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
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
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
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
Bridging the gap between signal and power. IEEE Signal Process. Mag. 26(4): 12-31 (2009) - [c40]Irene Y. H. Gu
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
Enhanced Landmine Detection from Low Resolution IR Image Sequences. CAIP 2009: 1236-1244 - [c38]Irene Y. H. Gu
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
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
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
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
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
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
Automatic Classification of Wood Defects Using Support Vector Machines. ICCVG 2008: 356-367 - [c29]Irene Y. H. Gu
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
Face tracking using Rao-Blackwellized particle filter and pose-dependent probabilistic PCA. ICIP 2008: 853-856 - 2007
- [j9]Math H. J. Bollen
Classification of Underlying Causes of Power Quality Disturbances: Deterministic versus Statistical Methods. EURASIP J. Adv. Signal Process. 2007 (2007) - [j8]Kyeon Hur
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
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
Object Tracking using Incremental 2D-PCA Learning and ML Estimation. ICASSP (1) 2007: 933-936 - [c25]Andy Backhouse, Irene Y. H. Gu
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
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
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
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]Liyuan Li, Weimin Huang, Irene Y. H. Gu, Qi Tian:
Foreground object detection from videos containing complex background. ACM Multimedia 2003: 2-10 - [c12]Andreas Franzen, Irene Y. H. Gu:
Classification of bird species by using key song searching: a comparative study. SMC 2003: 880-887 - [c11]Liyuan Li, Weimin Huang, Irene Y. H. Gu, Karianto Leman
Principal color representation for tracking persons. SMC 2003: 1007-1012 - [c10]Emmanouil Styvaktakis, Irene Y. H. Gu, Math H. J. Bollen:
Event-based transient categorization and analysis in electric power systems. SMC 2003: 4176-4183 - [c9]Tsan Po Siu, Tardi Tjahjadi, Irene Y. H. Gu:
Hue feature-based stereo scheme for detecting half-occlusion and order reversal of objects. VCIP 2003: 90-101 - [c8]Andrew G. Backhouse, Irene Y. H. Gu, Sverrir Olafsson, Mike J. Smith:
Global optimization of video quality by improved rate control on IP-networks. VCIP 2003: 552-562 - 2002
- [j4]Yu-Hua Gu
Detecting and locating landmine fields from vehicle- and air-borne measured IR Images. Pattern Recognit. 35(12): 3001-3014 (2002) - [j3]Irene Y. H. Gu
Multiresolution feature detection using a family of isotropic bandpass filters. IEEE Trans. Syst. Man Cybern. Part B 32(4): 443-454 (2002) - [c7]Liyuan Li, Weimin Huang, Irene Y. H. Gu
Foreground Object Detection in Changing Background Based on Color Co-Occurrence Statistics. WACV 2002: 269-274 - 2001
- [c6]Irene Y. H. Gu
Nonlinear smoothing filter using adaptive radial clustering. ICASSP 2001: 1861-1864 - [c5]Yu-Hua Gu, Vasile Gui:
Colour image segmentation using adaptive mean shift filters. ICIP (1) 2001: 726-729 - 2000
- [j2]Yu-Hua Gu
Coarse-to-fine planar object identification using invariant curve features and B-spline modeling. Pattern Recognit. 33(9): 1411-1422 (2000)
1990 – 1999
- 1999
- [j1]Yu-Hua Gu
Efficient planar object tracking and parameter estimation using compactly represented cubic B-spline curves. IEEE Trans. Syst. Man Cybern. Part A 29(4): 358-367 (1999) - [c4]Yu-Hua Gu, Tardi Tjahjadi:
Corner-Based Feature Extraction for Object Retrieval. ICIP (1) 1999: 119-123 - 1997
- [c3]Yu-Hua Gu, Vasile Gui, Tardi Tjahjadi:
Joint segmentation and B-spline object contour modelling for object tracking and motion compensation in image sequences. ICIP (3) 1997: 492-495 - 1991
- [c2]Yu-Hua Gu:
A robust pseudo perceptual pitch estimator. EUROSPEECH 1991: 453-456
1980 – 1989
- 1989
- [c1]Irene Y. H. Gu:
RLS lattice and circular lattice with real time variable sliding-window length. ICASSP 1989: 916-919
Coauthor Index
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