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ORCIDWonsook Lee
WonSook Lee – Won-Sook Lee
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[c77]Cristopher McIntyre-Garcia, Adrien Heymans, Beril Borali, Won-Sook Lee, Shiva Nejati:
Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach. ICSTW 2024: 9-12- [i15]Cristopher McIntyre-Garcia, Adrien Heymans, Beril Borali, Won-Sook Lee, Shiva Nejati:
Generating Minimalist Adversarial Perturbations to Test Object-Detection Models: An Adaptive Multi-Metric Evolutionary Search Approach. CoRR abs/2404.17020 (2024) - 2023
- [j28]Yunhee Woo
, Dongyoung Kim, Jaemin Jeong, Won-Sook Lee, Jeong-Gun Lee, Dong-Kyu Kim:
Automatic Sleep Stage Classification Using Deep Learning Algorithm for Multi-Institutional Database. IEEE Access 11: 46297-46307 (2023) - [j27]Yuchuan Li, Yoon Ko, Wonsook Lee:
A Feasibility Study on Translation of RGB Images to Thermal Images: Development of a Machine Learning Algorithm. SN Comput. Sci. 4(5): 555 (2023) - [c76]Maryam Tavakol Elahi, WonSook Lee, Philippe Phan:
SAttisUNet: UNet-like Swin Transformer with Attentive Skip Connections for Enhanced Medical Image Segmentation. ICMLA 2023: 1994-1999 - [i14]Kiran Kumar Ashish Bhyravabhottla, WonSook Lee:
Comparison between layer-to-layer network training and conventional network training using Convolutional Neural Networks. CoRR abs/2303.15245 (2023) - 2022
- [j26]Kun Yuan, Matthew Holden, Shijian Gao, Won-Sook Lee:
Anticipation for surgical workflow through instrument interaction and recognized Signals. Medical Image Anal. 82: 102611 (2022) - [c75]Yuehua Song, WonSook Lee:
MixedGAN: Facilitating GAN for Domain Adaptation Learning based on Mixing Different Domain Images for Semantic Segmentation. ICSC 2022: 51-58 - [i13]Ali Sekhavati, Won-Sook Lee:
Multi-Template Temporal Siamese Network for Long-Term Object Tracking. CoRR abs/2211.13812 (2022) - 2021
- [j25]Won-Sook Lee, Chris Joslin, Daniel Thalmann, Eric Paquette, Sung-Hee Lee:
Editorial issue 32.3. Comput. Animat. Virtual Worlds 32(3-4) (2021) - [j24]Chao Sun, Srinivasan Ramachandran, Eric Paquette, Won-Sook Lee:
Single-view procedural braided hair modeling through braid unit identification. Comput. Animat. Virtual Worlds 32(3-4) (2021) - [c74]Mohammad Hamed Mozaffari, Won-Sook Lee:
Dilated Convolutional Neural Network for Tongue Segmentation in Real-time Ultrasound Video Data. BIBM 2021: 1765-1772 - [c73]Mohammad Hamed Mozaffari, Won-Sook Lee:
Second Language Pronunciation Training by Ultrasound-enhanced Visual Augmented Reality. BIBM 2021: 3043-3050 - [c72]Chanho Kim, Won-Sook Lee:
Temperature as a Regularizer for Semantic Segmentation. ESANN 2021 - [c71]Md. Aminur Rab Ratul, Kun Yuan, Won-Sook Lee:
CCX-rayNet: A Class Conditioned Convolutional Neural Network For Biplanar X-Rays to CT Volume. ISBI 2021: 1655-1659 - [c70]Qing Ma, Jae Chul Koh, Won-Sook Lee:
A Frequency Domain Constraint for Synthetic and Real X-ray Image Super Resolution. MLMIR@MICCAI 2021: 120-129 - [c69]Kun Yuan, Matthew Holden, Shijian Gao, Won-Sook Lee:
Surgical Workflow Anticipation Using Instrument Interaction. MICCAI (4) 2021: 615-625 - [i12]Qing Ma, Jae Chul Koh, Won-Sook Lee:
A Frequency Domain Constraint for Synthetic X-ray Image Super Resolution. CoRR abs/2105.06887 (2021) - 2020
- [c68]Mohammad Hamed Mozaffari, Noriko Yamane, Won-Sook Lee:
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours. BIBM 2020: 2785-2792 - [c67]Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Mohammad Hamed Mozaffari, Won-Sook Lee:
PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure. DICTA 2020: 1-3 - [c66]Jiawei Li, Jae Chul Koh, Won-Sook Lee:
Hrinet: Alternative Supervision Network For High-Resolution Ct Image Interpolation. ICIP 2020: 1916-1920 - [c65]Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Kun Yuan, Won-Sook Lee:
RAM-Net: A Residual Attention MobileNet to Detect COVID-19 Cases from Chest X-Ray Images. ICMLA 2020: 195-200 - [c64]Mohammad Hamed Mozaffari, Won-Sook Lee:
Semantic Segmentation with Peripheral Vision. ISVC (2) 2020: 421-429 - [e1]Robert J. Teather, Chris Joslin, Wolfgang Stuerzlinger, Pablo A. Figueroa, Yaoping Hu, Anil Ufuk Batmaz, Wonsook Lee, Francisco R. Ortega:
VRST '20: 26th ACM Symposium on Virtual Reality Software and Technology, Virtual Event, Canada, November 1-4, 2020. ACM 2020, ISBN 978-1-4503-7619-8 [contents] - [i11]Jiawei Li, Jae Chul Koh, Won-Sook Lee:
HRINet: Alternative Supervision Network for High-resolution CT image Interpolation. CoRR abs/2002.04455 (2020) - [i10]Mohammad Hamed Mozaffari, Won-Sook Lee:
Deep Learning for Automatic Tracking of Tongue Surface in Real-time Ultrasound Videos, Landmarks instead of Contours. CoRR abs/2003.08808 (2020) - [i9]Md. Aminur Rab Ratul, Maryam Tavakol Elahi, Mohammad Hamed Mozaffari, Won-Sook Lee:
PS8-Net: A Deep Convolutional Neural Network to Predict the Eight-State Protein Secondary Structure. CoRR abs/2009.10380 (2020)
2010 – 2019
- 2019
- [c63]Mohammad Hamed Mozaffari, Chanho Kim, Won-Sook Lee:
Ultrasound Tongue Contour Extraction using Dilated Convolutional Neural Network. BIBM 2019: 707-710 - [c62]Mohammad Hamed Mozaffari, Shuangyue Wen, Nan Wang, Won-Sook Lee:
Real-time Automatic Tongue Contour Tracking in Ultrasound Video for Guided Pronunciation Training. VISIGRAPP (1: GRAPP) 2019: 302-309 - [i8]Mohammad Hamed Mozaffari, Won-Sook Lee:
BowNet: Dilated Convolution Neural Network for Ultrasound Tongue Contour Extraction. CoRR abs/1906.04232 (2019) - [i7]Mohammad Hamed Mozaffari, Won-Sook Lee:
Transfer Learning for Ultrasound Tongue Contour Extraction with Different Domains. CoRR abs/1906.04301 (2019) - [i6]Mohammad Hamed Mozaffari, Md. Aminur Rab Ratul, Won-Sook Lee:
IrisNet: Deep Learning for Automatic and Real-time Tongue Contour Tracking in Ultrasound Video Data using Peripheral Vision. CoRR abs/1911.03972 (2019) - [i5]Mohammad Hamed Mozaffari, Won-Sook Lee:
Real-time Ultrasound-enhanced Multimodal Imaging of Tongue using 3D Printable Stabilizer System: A Deep Learning Approach. CoRR abs/1911.09840 (2019) - 2018
- [j23]Adriana Braun, Rossana Baptista Queiroz, Won-Sook Lee, Bruno Feijó, Soraia Raupp Musse:
Persona: A Method for Facial Analysis in Video and Application in Entertainment. Comput. Entertain. 16(3): 4:1-4:19 (2018) - [c61]Wei Ruan, Won-Sook Lee:
Recognising Named Entity of Medical Imaging Procedures in Clinical Notes. BIBM 2018: 743-746 - [c60]Wei Ruan, Won-Sook Lee:
Boundary Detection by Determining the Difference of Classification Probabilities of Sequences: Topic Segmentation of Clinical Notes. BIBM 2018: 747-750 - [c59]Mohammad Hamed Mozaffari, Shenyong Guan, Shuangyue Wen, Nan Wang, Won-Sook Lee:
Guided Learning of Pronunciation by Visualizing Tongue Articulation in Ultrasound Image Sequences. CIVEMSA 2018: 1-5 - [c58]Mohammad Hamed Mozaffari, Shuangyue Wen, Won-Sook Lee:
Virtual Reality and Tracking the Mating Behavior of Fruit Flies: a Machine Learning Approach. CIVEMSA 2018: 1-5 - [c57]Wei Ruan, Naveenkumar Appasani, Katherine Kim, Joseph Vincelli, Hyun Kim, Won-Sook Lee:
Pictorial Visualization of EMR Summary Interface and Medical Information Extraction of Clinical Notes. CIVEMSA 2018: 1-6 - 2017
- [j22]Mohammad Hamed Mozaffari, Won-Sook Lee:
Convergent heterogeneous particle swarm optimisation algorithm for multilevel image thresholding segmentation. IET Image Process. 11(8): 605-619 (2017) - [c56]Kaveh Hassani, Won-Sook Lee:
Disambiguating Spatial Prepositions Using Deep Convolutional Networks. AAAI 2017: 3209-3215 - [c55]Kaveh Hassani, Won-Sook Lee:
Learning Physical Properties of Objects Using Gaussian Mixture Models. Canadian AI 2017: 179-190 - [c54]Palak Bansal, Chao Sun, Won-Sook Lee:
Sunshine Hours and Sunlight Direction Using Shadow Detection in a Video. ICIAR 2017: 231-238 - [c53]Chao Sun, Won-Sook Lee:
Hairstyle pattern recognition based on CNNs. SMC 2017: 1840-1845 - [c52]Chao Sun, Won-Sook Lee:
Braid Hairstyle Recognition based on CNNs. VISIGRAPP (4: VISAPP) 2017: 548-555 - 2016
- [j21]Kaveh Hassani, Won-Sook Lee:
Multi-objective design of state feedback controllers using reinforced quantum-behaved particle swarm optimization. Appl. Soft Comput. 41: 66-76 (2016) - [j20]Kaveh Hassani, Won-Sook Lee:
Visualizing Natural Language Descriptions: A Survey. ACM Comput. Surv. 49(1): 17:1-17:34 (2016) - [j19]Aliakbar Asgari, Kaveh Hassani, Won-Sook Lee:
Simulating collective intelligence of bio-inspired competing agents. Expert Syst. Appl. 56: 256-267 (2016) - [c51]Shiyi Huang, Won-Sook Lee:
Customized 3D Clothes Modeling for Virtual Try-on System based on Multiple Kinects. VISIGRAPP (1: GRAPP) 2016: 118-123 - [c50]Isidore Onyeako, Won-Sook Lee:
Resolution-aware Slicing of CAD Data for 3D. VISIGRAPP (1: GRAPP) 2016: 124-129 - [c49]Swati Upadhyaya, Won-Sook Lee, Chris Joslin:
Patient specific bone tracking using ultrasound for human movement analysis. MeMeA 2016: 1-5 - [i4]Mohammad Hamed Mozaffari, Won-Sook Lee:
Multilevel Thresholding Segmentation of T2 weighted Brain MRI images using Convergent Heterogeneous Particle Swarm Optimization. CoRR abs/1605.04806 (2016) - [i3]Kaveh Hassani, Won-Sook Lee:
Visualizing Natural Language Descriptions: A Survey. CoRR abs/1607.00623 (2016) - [i2]Kaveh Hassani, Won-Sook Lee:
Multi-Objective Design of State Feedback Controllers Using Reinforced Quantum-Behaved Particle Swarm Optimization. CoRR abs/1607.00765 (2016) - [i1]Mohammad Hamed Mozaffari, Won-Sook Lee:
3D Ultrasound image segmentation: A Survey. CoRR abs/1611.09811 (2016) - 2015
- [j18]Sadaf Arezoomand, Won-Sook Lee, Kawan S. Rakhra, Paul E. Beaulé:
A 3D active model framework for segmentation of proximal femur in MR images. Int. J. Comput. Assist. Radiol. Surg. 10(1): 55-66 (2015) - [c48]Kaveh Hassani, Won-Sook Lee:
An experimental study on semi-invasive acupuncture-based EEG signal acquisition. BCI 2015: 1-4 - [c47]Ramin Azarmehr, Robert Laganière, Won-Sook Lee, Christina Xu, Daniel Laroche:
Real-time embedded age and gender classification in unconstrained video. CVPR Workshops 2015: 56-64 - [c46]Kaveh Hassani, Aliakbar Asgari, Won-Sook Lee:
A case study on collective intelligence based on energy flow. EAIS 2015: 1-7 - [c45]Kaveh Hassani, Won-Sook Lee:
Adaptive animation generation using web content mining. EAIS 2015: 1-8 - [c44]Chao Sun, Zhongrui Li, Won-Sook Lee:
Reconstruction of Relatively Straight Medium to Long Hair Models using Kinect Sensors. GRAPP 2015: 158-164 - [c43]Hanadi Alfraidi, Won-Sook Lee, David Sankoff:
Literature Visualization and Similarity Measurement Based on Citation Relations. IV 2015: 217-222 - 2014
- [j17]Mauricio Vines, Ben Houston, Jochen Lang, Won-Sook Lee:
Vortical Inviscid Flows with Two-Way Solid-Fluid Coupling. IEEE Trans. Vis. Comput. Graph. 20(2): 303-315 (2014) - [c42]Sahar Aghayan, Wonsook Lee:
Calculation and Visualization of Range of Motion of Hip Joint from MRI. CBMS 2014: 143-148 - [c41]Kaveh Hassani, Won-Sook Lee:
An incremental framework for classification of EEG signals using quantum particle swarm optimization. CIVEMSA 2014: 40-45 - [c40]Fatemeh Cheraghchi, Won-Sook Lee:
Hair strand extraction by template matching using Gabor filter and histogram. IPTA 2014: 361-366 - [c39]Kaveh Hassani, Won-Sook Lee:
An Intelligent Architecture for Autonomous Virtual Agents Inspired by Onboard Autonomy. IEEE Conf. on Intelligent Systems (1) 2014: 391-402 - [c38]Kaveh Hassani, Won-Sook Lee:
On designing migrating agents: from autonomous virtual agents to intelligent robotic systems. SIGGRAPH ASIA Autonomous Virtual Humans and Social Robot for Telepresence 2014: 7:1-7:10 - [c37]Chao Sun, Fatemeh Cheraghchi, Won-Sook Lee:
2D hair strands generation based on template matching. SIMULTECH 2014: 261-266 - [c36]Zhongrui Li, Chao Sun, Won-Sook Lee, Ig-Jae Kim:
Hair modeling using kinect sensors and DSLR cameras. URAI 2014: 22-27 - 2013
- [j16]Nima Nikfetrat, Won-Sook Lee:
Fire pattern analysis and synthesis using EigenFires and motion transitions. Comput. Animat. Virtual Worlds 24(3-4): 225-235 (2013) - [c35]Seyed Mehdi Moghadas, Won-Sook Lee:
A 3D segmentation framework for an accurate extraction of the spongy and cortical bones from the MRI data. BIBM 2013: 17-21 - [c34]Kaveh Hassani, Won-Sook Lee:
A software-in-the-loop simulation of an intelligent microsatellite within a virtual environment. CIVEMSA 2013: 31-36 - [c33]Kaveh Hassani, Won-Sook Lee:
An Incremental Parallel Particle Swarm Approach for Classification Rule Discovery from Dynamic Data. ICMLA (1) 2013: 430-435 - [c32]Alberto Chávez-Aragón, Won-Sook Lee, Aseem Vyas:
A crowdsourcing web platform - hip joint segmentation by non-expert contributors. MeMeA 2013: 350-354 - 2012
- [j15]Gabriel Telles O'Neill, Won-Sook Lee, Paul E. Beaulé:
Segmentation of cam-type femurs from CT scans. Vis. Comput. 28(2): 205-218 (2012) - 2011
- [j14]Vijaya Lakshmi Guruswamy, Jochen Lang, Won-Sook Lee:
IIR Filter Models of Haptic Vibration Textures. IEEE Trans. Instrum. Meas. 60(1): 93-103 (2011) - [j13]Won-Sook Lee, Nadia Magnenat-Thalmann, Jos Stam:
Editorial. Vis. Comput. 27(6-8): 413-415 (2011) - [c31]Hanh T.-M. Ngo, Won-Sook Lee:
User-guided feature Sensitive Hole Filling for 3D Meshes. GRAPP 2011: 49-58 - 2010
- [j12]Guangzheng Fei, Won-Sook Lee, Zijun Xin, Huikai Dong, Chris Joslin:
PASCAL: physics augmented space canvases for animating locomotion. Comput. Animat. Virtual Worlds 21(2): 81-89 (2010)
2000 – 2009
- 2009
- [j11]Ding Cai, Won-Sook Lee, Chris Joslin, Paul E. Beaulé:
Rapid impingement detection and surface distance measurement system for real-time ball-and-socket joint motion simulation. Int. J. Adv. Media Commun. 3(1/2): 5-24 (2009) - [c30]Mauricio Vines, Javier Mora, Won-Sook Lee:
Real-time haptic display of fluids. C3S2E 2009: 149-153 - [c29]Mauricio Vines, Javier Mora, Won-Sook Lee:
Haptic display of 3D liquids for interactive applications. ICE-GIC 2009: 140-148 - [c28]Dan Yang, Won-Sook Lee:
Music Emotion Identification from Lyrics. ISM 2009: 624-629 - [p1]Ding Cai, Won-Sook Lee, Chris Joslin, Paul E. Beaulé:
Rapid Impingement Detection System with Uniform Sampling for Ball-and-Socket Joint. Recent Advances in the 3D Physiological Human 2009: 179-192 - 2008
- [c27]Javier Mora, Won-Sook Lee:
Real-Time 3D Fluid Interaction with a Haptic User Interface. 3DUI 2008: 75-81 - [c26]Ding Cai, Won-Sook Lee, Chris Joslin:
Physically-based dynamic cell representation with consistent cell neighbor relationships. C3S2E 2008: 125-128 - [c25]Guangzheng Fei, Won-Sook Lee, Chris Joslin, Zijun Xin:
3D animation creation using space canvases for free-hand drawing. VRCAI 2008 - 2007
- [j10]Won-Sook Lee, Andrew Soon:
Mesh resolution augmentation using 3D skin bank. Comput. Aided Des. 39(7): 610-621 (2007) - [j9]Won-Sook Lee, Kyung-Ah Sohn:
View Influence Analysis and Optimization for Multiview Face Recognition. EURASIP J. Image Video Process. 2007 (2007) - [j8]Won-Sook Lee, Andrew Soon, Lijia Zhu:
3D facial model exaggeration builder for small or large sized model manufacturing. Virtual Real. 11(4): 229-239 (2007) - [c24]Javier Mora, Won-Sook Lee, Gilles Comeau:
3D Visual Feedback in Learning of Piano Posture. Edutainment 2007: 763-771 - [c23]Pengcheng Xi, Won-Sook Lee, Chang Shu:
Analysis of segmented human body scans. Graphics Interface 2007: 19-26 - [c22]Lijia Zhu, Won-Sook Lee:
Facial animation with motion capture based on surface blending. GRAPP (AS/IE) 2007: 63-70 - [c21]Wonsook Lee, Mitsuharu Nagamori, Shigeo Sugimoto:
Bridging Community Resource Gateways by Linking Community Taxonomies. ICADL 2007: 482-486 - [c20]Pengcheng Xi, Won-Sook Lee, Chang Shu:
A Data-driven Approach to Human-body Cloning Using a Segmented Body Database. PG 2007: 139-147 - 2006
- [j7]Wonsook Lee, Shigeo Sugimoto:
Toward core subject vocabularies for community-oriented subject gateways. Int. J. Metadata Semant. Ontologies 1(3): 167-175 (2006) - [j6]Won-Sook Lee, Andrew Soon:
Facial shape and 3D skin. Comput. Animat. Virtual Worlds 17(3-4): 501-512 (2006) - [j5]Andrew Soon, Won-Sook Lee:
Shape-based detail-preserving exaggeration of extremely accurate 3D faces. Vis. Comput. 22(7): 478-492 (2006) - [c19]Hadi Seyedarabi, Won-Sook Lee, Ali Aghagolzadeh:
Automatic Lip Tracking and Action Units Classification using Two-Step Active Contours and Probabilistic Neural Networks. CCECE 2006: 2021-2024 - [c18]Pengcheng Xi, Won-Sook Lee, Gustavo Frederico, Chris Joslin, Lihong Zhou:
Comprehending and Transferring Facial Expressions Based on Statistical Shape and Texture Models. Computer Graphics International 2006: 265-276 - [c17]Andrew Soon, Won-Sook Lee:
Exaggeration of Extremely Detailed 3D Faces. EuroIMSA 2006: 102-108 - [c16]Hadi Seyedarabi, Won-Sook Lee, Ali Aghagolzadeh, Sohrab Khanmohammadi:
Facial Expressions Recognition in a Single Static as well as Dynamic Facial Images Using Tracking and Probabilistic Neural Networks. PSIVT 2006: 292-304 - 2005
- [c15]Wonsook Lee, Shigeo Sugimoto:
Toward core subject vocabularies for community-oriented subject gateways. Dublin Core Conference 2005: 11-19 - 2004
- [c14]Won-Sook Lee, Kyung-Ah Sohn:
Face Recognition Using Computer-Generated Database. Computer Graphics International 2004: 561-568 - [c13]Won-Sook Lee, Kyung-Ah Sohn:
Database Construction & Recognition for Multi-view face. FGR 2004: 350-355 - [c12]Dan Yang, Won-Sook Lee:
Disambiguating Music Emotion Using Software Agents. ISMIR 2004 - [c11]Mauricio Orozco Trujillo, WonSook Lee, Abdulmotaleb El-Saddik:
Interaction of free viewpoint 3D video with a haptic-based environment for training applications. VECIMS 2004: 54-59 - 2003
- [c10]Wonsook Lee, Shigeo Sugimoto, Mitsuharu Nagamori, Tetsuo Sakaguchi, Koichi Tabata:
A Subject gateway in Multiple Languages: A Prototype Development and Lessons Learned. Dublin Core Conference 2003: 59-66 - 2002
- [j4]Taro Goto, Won-Sook Lee, Nadia Magnenat-Thalmann:
Facial feature extraction for quick 3D face modeling. Signal Process. Image Commun. 17(3): 243-259 (2002) - 2001
- [j3]Igor S. Pandzic, Christian Babski, Tolga K. Capin, Won-Sook Lee, Nadia Magnenat-Thalmann, Soraia Raupp Musse, Laurent Moccozet, Hyewon Seo, Daniel Thalmann:
Simulating Virtual Humans in Networked Virtual Environments. Presence Teleoperators Virtual Environ. 10(6): 632-646 (2001) - [c9]Frédéric Cordier, Won-Sook Lee, Hyewon Seo, Nadia Magnenat-Thalmann:
From 2D Photos of Yourself to Virtual Try-on Dress on the Web. BCS HCI/IHM 2001: 31-46 - [c8]Won-Sook Lee, Nadia Magnenat-Thalmann:
Virtual body morphing. CA 2001: 158-166 - [c7]Sumedha Kshirsagar, Chris Joslin, Won-Sook Lee, Nadia Magnenat-Thalmann:
Personalized Face and Speech Communication over the Internet. VR 2001: 37-44 - 2000
- [j2]Won-Sook Lee, Jin Gu, Nadia Magnenat-Thalmann:
Generating Animatable 3D Virtual Humans from Photographs. Comput. Graph. Forum 19(3): 1-10 (2000) - [j1]Won-Sook Lee, Nadia Magnenat-Thalmann:
Fast head modeling for animation. Image Vis. Comput. 18(4): 355-364 (2000) - [c6]Takao Furukawa, Jin Gu, Won-Sook Lee, Nadia Magnenat-Thalmann:
3D Clothes Modeling from Photo Cloned Human Body. Virtual Worlds 2000: 159-170
1990 – 1999
- 1999
- [c5]Won-Sook Lee, Marc Escher, Gaël Sannier, Nadia Magnenat-Thalmann:
MPEG-4 Compatible Faces from Orthogonal Photos. CA 1999: 186-194 - [c4]Won-Sook Lee, Yin Wu, Nadia Magnenat-Thalmann:
Cloning and Aging in a VR Family. VR 1999: 61- - [c3]Won-Sook Lee, Pierre Beylot, David Sankoff, Nadia Magnenat-Thalmann:
Generating 3D Virtual Populations from Pictures of a Few Individuals. WADS 1999: 134-144 - 1998
- [c2]Won-Sook Lee, Nadia Magnenat-Thalmann:
Head Modeling from Pictures and Morphing in 3D with Image Metamorphosis Based on Triangulation. CAPTECH 1998: 254-267 - [c1]Won-Sook Lee, Elwin Lee, Nadia Magnenat-Thalmann:
Real Face Communication in a Virtual World. Virtual Worlds 1998: 1-13
Coauthor Index
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