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Hee-Deok Yang
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2020 – today
- 2023
- [j10]Ju-Hyeon Noh, Jun-Hyeok Kim, Hee-Deok Yang
:
Classification of Alzheimer's Progression Using fMRI Data. Sensors 23(14): 6330 (2023)
2010 – 2019
- 2015
- [j9]Jung-Min Kim, Hee-Deok Yang, Hyun-Sook Chung:
Ontology-based recommender system of TV programmes for personalisation service in smart TV. Int. J. Web Grid Serv. 11(3): 283-302 (2015) - [j8]Hee-Deok Yang
:
Sign Language Recognition with the Kinect Sensor Based on Conditional Random Fields. Sensors 15(1): 135-147 (2015) - 2013
- [j7]Hee-Deok Yang, Seong-Whan Lee:
Robust sign language recognition by combining manual and non-manual features based on conditional random field and support vector machine. Pattern Recognit. Lett. 34(16): 2051-2056 (2013) - 2012
- [j6]Hee-Deok Yang, Heung-Il Suk
, Seong-Whan Lee:
Accelerating generalized Iterative Scaling Based on Staggered Aitken Method for on-Line Conditional Random Fields. Int. J. Wavelets Multiresolution Inf. Process. 10(6) (2012) - 2011
- [c13]Hee-Deok Yang, Seong-Whan Lee:
Combination of manual and non-manual features for sign language recognition based on conditional random field and active appearance model. ICMLC 2011: 1726-1731 - 2010
- [j5]Hee-Deok Yang, Seong-Whan Lee:
Simultaneous spotting of signs and fingerspellings based on hierarchical conditional random fields and boostmap embeddings. Pattern Recognit. 43(8): 2858-2870 (2010) - [c12]Hee-Deok Yang, Seong-Whan Lee:
Accelerating generalized iterative scaling using componentwise extrapolations for on-line conditional random fields. ICMLC 2010: 3169-3173 - [c11]Hee-Deok Yang, Seong-Whan Lee:
Robust Sign Language Recognition with Hierarchical Conditional Random Fields. ICPR 2010: 2202-2205
2000 – 2009
- 2009
- [j4]Hee-Deok Yang, Stan Sclaroff, Seong-Whan Lee:
Sign Language Spotting with a Threshold Model Based on Conditional Random Fields. IEEE Trans. Pattern Anal. Mach. Intell. 31(7): 1264-1277 (2009) - [c10]Seong-Sik Cho, Hee-Deok Yang, Seong-Whan Lee:
Sign language spotting based on semi-Markov Conditional Random Field. WACV 2009: 1-6 - 2007
- [j3]Hee-Deok Yang, Seong-Whan Lee:
Reconstruction of 3D human body pose from stereo image sequences based on top-down learning. Pattern Recognit. 40(11): 3120-3131 (2007) - [j2]Hee-Deok Yang, A-Yeon Park, Seong-Whan Lee:
Gesture Spotting and Recognition for Human-Robot Interaction. IEEE Trans. Robotics 23(2): 256-270 (2007) - 2006
- [j1]Hee-Deok Yang, Sang-Woong Lee, Seong-Whan Lee:
Multiple Human Detection and Tracking Based on Weighted Temporal Texture Features. Int. J. Pattern Recognit. Artif. Intell. 20(3): 377-392 (2006) - [c9]Hee-Deok Yang, A-Yeon Park, Seong-Whan Lee:
Robust Spotting of Key Gestures from Whole Body Motion Sequence. FGR 2006: 231-236 - [c8]Hee-Deok Yang, Seong-Whan Lee:
Reconstruction of 3D Human Body Pose for Gait Recognition. ICB 2006: 619-625 - [c7]Hee-Deok Yang, A-Yeon Park, Seong-Whan Lee:
Human-Robot Interaction by Whole Body Gesture Spotting and Recognition. ICPR (4) 2006: 774-777 - [c6]Hee-Deok Yang, Seong-Whan Lee:
Reconstructing 3D Human Body Pose from Stereo Image Sequences Using Hierarchical Human Body Model Learning. ICPR (3) 2006: 1004-1007 - [c5]Hee-Deok Yang, Seong-Whan Lee:
Automatic Physiognomic Analysis by Classifying Facial Component Feature. ICPR (2) 2006: 1212-1215 - 2005
- [c4]Hee-Deok Yang, Sung-Kee Park, Seong-Whan Lee:
Estimating 3D Human Body Pose from Stereo Image Sequences. Gesture Workshop 2005: 172-175 - [c3]Hee-Deok Yang, Sung-Kee Park, Seong-Whan Lee:
Reconstruction of 3D Human Body Pose Based on Top-Down Learning. ICIC (1) 2005: 601-610 - 2004
- [c2]Hee-Deok Yang, Seong-Whan Lee:
Multiple Pedestrian Detection and Tracking based on Weighted Temporal Texture Features. ICPR (4) 2004: 248-251 - 2003
- [c1]Hee-Deok Yang, Bong-Kee Sin, Seong-Whan Lee:
Automatic Pedestrian Detection and Tracking for Real-Time Video Surveillance. AVBPA 2003: 242-250
Coauthor Index
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