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ORCIDWorapan Kusakunniran
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- affiliation: Mahidol University, Nakhon Pathom, Thailand
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2020 – today
- 2024
[j41]Rangwan Kasantikul, Worapan Kusakunniran:
Augmented inputs for surveillance re-identification. Int. J. Multim. Inf. Retr. 13(1): 2 (2024)- [j40]Javad Khodadoust
, Raúl Monroy, Miguel Angel Medina-Pérez, Octavio Loyola-González, Worapan Kusakunniran, André Boller, Philipp Terhörst:
A novel indexing algorithm for latent palmprints leveraging minutiae and orientation field. Intell. Syst. Appl. 21: 200320 (2024) - [j39]Kittikan Charoenjai, Worapan Kusakunniran, Tipajin Thaipisutikul, Nutcha Yodrabum, Irin Chaikangwan:
Automatic detection of nostril and key markers in images. Intell. Syst. Appl. 21: 200327 (2024) - [j38]Javad Khodadoust, Raúl Monroy, Miguel Angel Medina-Pérez, Octavio Loyola-González, Vutipong Areekul, Worapan Kusakunniran:
Enhancing latent palmprints using frequency domain analysis. Intell. Syst. Appl. 23: 200414 (2024) - [j37]Worapan Kusakunniran, Thanandon Imaromkul, Sophon Mongkolluksamee, Kittikhun Thongkanchorn, Panrasee Ritthipravat, Pimchanok Tuakta, Paitoon Benjapornlert:
Deep Upscale U-Net for automatic tongue segmentation. Medical Biol. Eng. Comput. 62(6): 1751-1762 (2024) - [j36]Worapan Kusakunniran, Thanandon Imaromkul, Kittinun Aukkapinyo, Kittikhun Thongkanchorn, Pimpinan Somsong:
Automatic classification of mangosteens and ripe status in images using deep learning based approaches. Multim. Tools Appl. 83(16): 48275-48290 (2024) - [j35]Panrasee Ritthipravat, Kittisak Chotikkakamthorn, Wen-Nung Lie, Worapan Kusakunniran, Pimchanok Tuakta, Paitoon Benjapornlert:
Deep-learning-based head pose estimation from a single RGB image and its application to medical CROM measurement. Multim. Tools Appl. 83(31): 77009-77028 (2024) - [j34]Sai Thu Ya Aung, Worapan Kusakunniran:
A comprehensive review of gait analysis using deep learning approaches in criminal investigation. PeerJ Comput. Sci. 10: e2456 (2024) - [c31]Kasidit Ruaydee, Worapan Kusakunniran, Warangkana Srichamnong:
Deep Learning for Automatic Classification of Carotenoid Associated Color Pigmentation. TENCON 2024: 822-825 - 2023
- [j33]Trongtum Tongdee, Worapan Kusakunniran, Thanongchai Siriapisith, Pairash Saiviroonporn, Thanandon Imaromkul, Pakorn Yodprom:
Classification of chest radiography from general radiography using deep learning approach. ICT Express 9(3): 313-319 (2023) - [j32]Worapan Kusakunniran, Sarattha Kanchanapreechakorn, Thanongchai Siriapisith, Pairash Saiviroonporn:
Fast MRI reconstruction using StrainNet with dual-domain loss on spatial and frequency spaces. Intell. Syst. Appl. 18: 200203 (2023) - [j31]Worapan Kusakunniran, Punyanuch Borwarnginn, Sarattha Kanchanapreechakorn, Kittikhun Thongkanchorn, Panrasee Ritthipravat, Pimchanok Tuakta, Paitoon Benjapornlert:
Encoder-decoder network with RMP for tongue segmentation. Medical Biol. Eng. Comput. 61(5): 1193-1207 (2023) - [j30]Worapan Kusakunniran, Punyanuch Borwarnginn, Thanandon Imaromkul, Kittinun Aukkapinyo, Kittikhun Thongkanchorn, Disathon Wattanadhirach, Sophon Mongkolluksamee, Ratchainant Thammasudjarit, Panrasee Ritthipravat, Pimchanok Tuakta, Paitoon Benjapornlert:
Automated tongue segmentation using deep encoder-decoder model. Multim. Tools Appl. 82(24): 37661-37686 (2023) - [j29]Lingxiang Yao, Worapan Kusakunniran, Peng Zhang, Qiang Wu, Jian Zhang:
Improving Disentangled Representation Learning for Gait Recognition Using Group Supervision. IEEE Trans. Multim. 25: 4187-4198 (2023) - [c30]Worapan Kusakunniran, Kunthorn Phongluelert, Chanathip Sirisangpaival, Osh Narayan, Kittikhun Thongkanchorn, Anuwat Wiratsudakul:
Cattle AutoID: Biometric for Cattle Identification: Cattle AutoID. SIET 2023: 570-574 - 2022
- [j28]Punyanuch Borwarnginn, Jason H. Haga, Worapan Kusakunniran:
Predicting river water height using deep learning-based features. ICT Express 8(4): 588-594 (2022) - [j27]Zaw Htet Aung, Soonthareeya Sanium, Chuenchat Songsaksuppachok, Worapan Kusakunniran, Monamorn Precharattana, Suparat Chuechote, Khemmawadee Pongsanon, Panrasee Ritthipravat:
Designing a novel teaching platform for AI: A case study in a Thai school context. J. Comput. Assist. Learn. 38(6): 1714-1729 (2022) - [j26]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
A retrospective study of 3D deep learning approach incorporating coordinate information to improve the segmentation of pre- and post-operative abdominal aortic aneurysm. PeerJ Comput. Sci. 8: e1033 (2022) - [j25]Sarattha Kanchanapreechakorn, Worapan Kusakunniran, Thanongchai Siriapisith, Pairash Saiviroonporn:
Multi-level pooling encoder-decoder convolution neural network for MRI reconstruction. PeerJ Comput. Sci. 8: e934 (2022) - [j24]Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jingsong Xu, Jian Zhang:
Collaborative Feature Learning for Gait Recognition Under Cloth Changes. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3615-3629 (2022) - [j23]Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jingsong Xu, Jian Zhang:
Recognizing Gaits Across Walking and Running Speeds. ACM Trans. Multim. Comput. Commun. Appl. 18(3): 75:1-75:22 (2022) - [c29]Kosin Saramas, Jidapa Kraisangka, Akara Supratak, Thanapon Noraset, Boonsit Yimwadsana, Worapan Kusakunniran:
HUMAN DETECTION AND SOCIAL DISTANCING MEASUREMENT IN A VIDEO. JCSSE 2022: 1-4 - [c28]Worapan Kusakunniran, Kittinun Aukkapinyo, Punyanuch Borwarnginn, Thanandon Imaromkul, Kittikhun Thongkanchorn, Disathon Wattanadhirach, Sophon Mongkolluksamee, Ratchainant Thammasudjarit, Panrasee Ritthipravat, Pimchanok Tuakta, Paitoon Benjapornlert:
Measurement of Tongue Motion using Optical Flows on Segmented Areas. KST 2022: 24-28 - 2021
- [j22]Punyanuch Borwarnginn, Worapan Kusakunniran, Sarattha Kanchanapreechakorn, Kittikhun Thongkanchorn:
Knowing Your Dog Breed: Identifying a Dog Breed with Deep Learning. Int. J. Autom. Comput. 18(1): 45-54 (2021) - [j21]Worapan Kusakunniran, Anuwat Wiratsudakul, Udom Chuachan, Thanandon Imaromkul, Sarattha Kanchanapreechakorn, Noppanut Suksriupatham, Kittikhun Thongkanchorn:
Analysing muzzle pattern images as a biometric for cattle identification. Int. J. Biom. 13(4): 367-384 (2021) - [j20]Jirawat Jiwattanakul, Chawapat Youngjitikornkun, Worapan Kusakunniran, Anuwat Wiratsudakul, Weerapong Thanapongtharm, Kansuda Leelahapongsathon:
Map simulation of dogs' behaviour using population density of probabilistic model. Int. J. Comput. Appl. Technol. 65(1): 14-24 (2021) - [j19]Worapan Kusakunniran, Thearith Ponn, Nuttapol Boonsom, Suwimol Wahakit, Kittikhun Thongkanchorn:
Construction of H5-Index for Conference Ranking Indicator and its Correlation to ERA. J. Inf. Knowl. Manag. 20(1): 2150011 (2021) - [j18]Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang:
Gait recognition using a few gait frames. PeerJ Comput. Sci. 7: e382 (2021) - [j17]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
A 3D deep learning approach to epicardial fat segmentation in non-contrast and post-contrast cardiac CT images. PeerJ Comput. Sci. 7: e806 (2021) - [j16]Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang, Zhenmin Tang, Wankou Yang:
Robust gait recognition using hybrid descriptors based on Skeleton Gait Energy Image. Pattern Recognit. Lett. 150: 289-296 (2021) - 2020
- [j15]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
Pyramid graph cut: Integrating intensity and gradient information for grayscale medical image segmentation. Comput. Biol. Medicine 126: 103997 (2020) - [j14]Worapan Kusakunniran:
Review of gait recognition approaches and their challenges on view changes. IET Biom. 9(6): 238-250 (2020) - [j13]Kittinun Aukkapinyo, Suchakree Sawangwong, Parintorn Pooyoi, Worapan Kusakunniran:
Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network. Int. J. Autom. Comput. 17(2): 233-246 (2020) - [j12]Worapan Kusakunniran, Anuwat Wiratsudakul, Udom Chuachan, Sarattha Kanchanapreechakorn, Thanandon Imaromkul, Noppanut Suksriupatham, Kittikhun Thongkanchorn:
Biometric for Cattle Identification using Muzzle Patterns. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2056007:1-2056007:21 (2020) - [c27]Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang, Jingsong Xu:
Part-based Collaborative Spatio-temporal Feature Learning for Cloth-changing Gait Recognition. ICPR 2020: 2057-2064 - [c26]Phum Natakuaithung, Worapan Kusakunniran:
Development of AR Learning Assistance Tool for Clay-Sculpting 3D Model. KST 2020: 109-114 - [c25]Napat Romlamduan, Worapan Kusakunniran:
Game-based Learning Tool for Photography. TENCON 2020: 1255-1259 - [c24]Punyanuch Borwarnginn, Jason H. Haga, Worapan Kusakunniran:
Water Level Detection from CCTV Cameras using a Deep Learning Approach. TENCON 2020: 1283-1288
2010 – 2019
- 2019
- [j11]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
3D segmentation of exterior wall surface of abdominal aortic aneurysm from CT images using variable neighborhood search. Comput. Biol. Medicine 107: 73-85 (2019) - [i1]Dina B. Efremova, Dmitry A. Konovalov, Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
Automatic segmentation of kidney and liver tumors in CT images. CoRR abs/1908.01279 (2019) - 2018
- [j10]Worapan Kusakunniran, Qiang Wu, Panrasee Ritthipravat, Jian Zhang:
Hard exudates segmentation based on learned initial seeds and iterative graph cut. Comput. Methods Programs Biomed. 158: 173-183 (2018) - [j9]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
Outer Wall Segmentation of Abdominal Aortic Aneurysm by Variable Neighborhood Search Through Intensity and Gradient Spaces. J. Digit. Imaging 31(4): 490-504 (2018) - [j8]Worapan Kusakunniran, Amit Singh Dahal, Wantanee Viriyasitavat:
Journal Co-Citation Analysis for Identifying Trends of Inter-Disciplinary Research: An Exploratory Case Study in a University. J. Inf. Knowl. Manag. 17(4): 1850040:1-1850040:22 (2018) - [c23]Rangwan Kasantikul, Worapan Kusakunniran:
Improving Supervised Microaneurysm Segmentation using Autoencoder-Regularized Neural Network. DICTA 2018: 1-7 - [c22]Thanongchai Siriapisith, Worapan Kusakunniran, Peter Haddawy:
A General Approach to Segmentation in CT Grayscale Images using Variable Neighborhood Search. DICTA 2018: 1-7 - [c21]Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang, Zhenmin Tang:
Robust CNN-based Gait Verification and Identification using Skeleton Gait Energy Image. DICTA 2018: 1-7 - [c20]Worapan Kusakunniran, Anuwat Wiratsudakul, Udom Chuachan, Sarattha Kanchanapreechakorn, Thanandon Imaromkul:
Automatic cattle identification based on fusion of texture features extracted from muzzle images. ICIT 2018: 1484-1489 - [c19]Benjarat Tirasirichai, Peeraya Thanomboon, Pimpaknat Soontorntham, Worapan Kusakunniran, Mark A. Robinson:
Bloom Balance: Calorie Balancing Application With Scientific Validation. JCSSE 2018: 1-6 - [c18]Cheng Jiang, Worapan Kusakunniran:
Optimizing Location-Routing Problem using Iterative Combination of GA and VNS. KST 2018: 24-29 - [c17]Thanandon Imaromkul, Wiphada Dendee, Sarocha Chokewiwattana, Worapan Kusakunniran:
3D Reconstruction of Long Bone using Kinect. KST 2018: 129-133 - [c16]Atid Puwatnuttasit, Worapan Kusakunniran:
Gesture Recognition for Traffic Hand-Signals Training Simulator Using Kinect. TENCON 2018: 297-302 - [c15]Chanat Sinpithakkul, Worapan Kusakunniran, Sunee Bovonsunthonchai, Peemongkon Wattananon:
Game-based Enhancement for Rehabilitation Based on Action Recognition Using Kinect. TENCON 2018: 303-308 - [c14]Thunwa Sattrupai, Worapan Kusakunniran:
Deep Trajectory Based Gait Recognition for Human Re-identification. TENCON 2018: 1723-1726 - 2017
- [c13]Worapan Kusakunniran, Qiang Wu, Jian Zhang:
Action Recognition Based on Correlated Codewords of Body Movements. DICTA 2017: 1-8 - [c12]Lingxiang Yao, Worapan Kusakunniran, Qiang Wu, Jian Zhang, Zhenmin Tang:
Robust Gait Recognition under Unconstrained Environments Using Hybrid Descriptions. DICTA 2017: 1-7 - [c11]Worapan Kusakunniran, Nantawat Prachasri, Nattaporn Dirakbussarakom, Duangkamol Yangchaem:
Distinguishing ACL patients from healthy individuals using multilayer perceptron on motion patterns. KST 2017: 1-5 - 2015
- [c10]Worapan Kusakunniran:
Extracting Gait Figures in a Video Based on Markerless Motion. KSE 2015: 306-309 - [c9]Worapan Kusakunniran, Nattaporn Dirakbussarakom, Nantawat Prachasri, Duangkamol Yangchaem, Jos Vanrenterghem, Mark A. Robinson:
Discriminating motion patterns of ACL reconstructed patients from healthy individuals. MVA 2015: 447-450 - 2014
- [j7]Worapan Kusakunniran:
Attribute-based learning for gait recognition using spatio-temporal interest points. Image Vis. Comput. 32(12): 1117-1126 (2014) - [j6]Worapan Kusakunniran:
Recognizing Gaits on Spatio-Temporal Feature Domain. IEEE Trans. Inf. Forensics Secur. 9(9): 1416-1423 (2014) - [j5]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li, Liang Wang:
Recognizing Gaits Across Views Through Correlated Motion Co-Clustering. IEEE Trans. Image Process. 23(2): 696-709 (2014) - 2013
- [j4]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Yi Ma, Hongdong Li:
A New View-Invariant Feature for Cross-View Gait Recognition. IEEE Trans. Inf. Forensics Secur. 8(10): 1642-1653 (2013) - [c8]Worapan Kusakunniran, Shin'ichi Satoh, Jian Zhang, Qiang Wu:
Attribute-based learning for large scale object classification. ICME 2013: 1-6 - 2012
- [j3]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li:
Cross-view and multi-view gait recognitions based on view transformation model using multi-layer perceptron. Pattern Recognit. Lett. 33(7): 882-889 (2012) - [j2]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li:
Gait Recognition Under Various Viewing Angles Based on Correlated Motion Regression. IEEE Trans. Circuits Syst. Video Technol. 22(6): 966-980 (2012) - [j1]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li:
Gait Recognition Across Various Walking Speeds Using Higher Order Shape Configuration Based on a Differential Composition Model. IEEE Trans. Syst. Man Cybern. Part B 42(6): 1654-1668 (2012) - 2011
- [c7]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li:
Pairwise Shape configuration-based PSA for gait recognition under small viewing angle change. AVSS 2011: 17-22 - [c6]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li:
Speed-invariant gait recognition based on Procrustes Shape Analysis using higher-order shape configuration. ICIP 2011: 545-548 - 2010
- [c5]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li:
Support vector regression for multi-view gait recognition based on local motion feature selection. CVPR 2010: 974-981 - [c4]Worapan Kusakunniran, Qiang Wu, Jian Zhang, Hongdong Li:
Multi-view Gait Recognition Based on Motion Regression Using Multilayer Perceptron. ICPR 2010: 2186-2189
2000 – 2009
- 2009
- [c3]Worapan Kusakunniran, Qiang Wu, Hongdong Li, Jian Zhang:
Automatic Gait Recognition Using Weighted Binary Pattern on Video. AVSS 2009: 49-54 - [c2]Worapan Kusakunniran, Hongdong Li, Jian Zhang:
A Direct Method to Self-Calibrate a Surveillance Camera by Observing a Walking Pedestrian. DICTA 2009: 250-255 - [c1]Worapan Kusakunniran, Qiang Wu, Hongdong Li, Jian Zhang:
Multiple views gait recognition using View Transformation Model based on optimized Gait Energy Image. ICCV Workshops 2009: 1058-1064
Coauthor Index
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