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Ukrit Watchareeruetai
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2020 – today
- 2023
- [j8]Ankush Ganguly, Sanjana Jain, Ukrit Watchareeruetai:
Amortized Variational Inference: A Systematic Review. J. Artif. Intell. Res. 78: 167-215 (2023) - 2022
- [j7]Ukrit Watchareeruetai, Benjaphan Sommana, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly, Aubin Samacoïts, Samuel W. F. Earp, Nakarin Sritrakool:
LOTR: Face Landmark Localization Using Localization Transformer. IEEE Access 10: 16530-16543 (2022) - [c15]Benjaphan Sommana, Ukrit Watchareeruetai, Ankush Ganguly, Samuel W. F. Earp, Taya Kitiyakara, Suparee Boonmanunt, Ratchainant Thammasudjarit:
Development of a face mask detection pipeline for mask-wearing monitoring in the era of the COVID-19 pandemic: A modular approach. JCSSE 2022: 1-6 - [i3]Ankush Ganguly, Sanjana Jain, Ukrit Watchareeruetai:
Amortized Variational Inference: Towards the Mathematical Foundation and Review. CoRR abs/2209.10888 (2022) - 2021
- [i2]Ukrit Watchareeruetai, Benjaphan Sommana, Sanjana Jain, Pavit Noinongyao, Ankush Ganguly, Aubin Samacoïts, Samuel W. F. Earp, Nakarin Sritrakool:
LOTR: Face Landmark Localization Using Localization Transformer. CoRR abs/2109.10057 (2021) - [i1]Benjaphan Sommana, Ukrit Watchareeruetai, Ankush Ganguly, Samuel W. F. Earp, Taya Kitiyakara, Suparee Boonmanunt, Ratchainant Thammasudjarit:
Development of a face mask detection pipeline for mask-wearing monitoring in the era of the COVID-19 pandemic: A modular approach. CoRR abs/2112.15031 (2021)
2010 – 2019
- 2019
- [c14]Kadipa Aung Myo Han, Ukrit Watchareeruetai:
Classification of Nutrient Deficiency in Black Gram Using Deep Convolutional Neural Networks. JCSSE 2019: 277-282 - 2018
- [c13]Pavit Noinongyao, Ukrit Watchareeruetai:
An Extreme Learning Machine Based Pretraining Method for Multi-Layer Neural Networks. SCIS&ISIS 2018: 608-613 - 2017
- [c12]Toan Huy Bui, Noppadol Maneerat, Ukrit Watchareeruetai:
Detection of cotton wool for diabetic retinopathy analysis using neural network. IWCIA 2017: 203-206 - [c11]Pavit Noinongyao, Ukrit Watchareeruetai, Puriwat Khantiviriya, Chaiwat Wattanapaiboonsuk, Sutsawat Duangsrisai:
Separation of abnormal regions on black gram leaves using image analysis. JCSSE 2017: 1-5 - [c10]Nicha Piemkaroonwong, Ukrit Watchareeruetai:
Separation of occluded leaves using direction field. JCSSE 2017: 1-6 - [c9]Mathara Rojanamontien, Ukrit Watchareeruetai:
Shape recognition by using Scale Invariant Feature Transform for contour. JCSSE 2017: 1-6 - 2016
- [c8]Nilakorn Seenouvong, Ukrit Watchareeruetai, Chaiwat Nuthong, Khamphong Khongsomboon, Noboru Ohnishi:
A computer vision based vehicle detection and counting system. KST 2016: 224-227 - [c7]Mathara Rojanamontien, Poomkawin Sihanatkathakul, Nicha Piemkaroonwong, Supanat Kamales, Ukrit Watchareeruetai:
Leaf identification using apical and basal features. KST 2016: 234-238 - 2011
- [j6]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Redundancies in linear GP, canonical transformation, and its exploitation: a demonstration on image feature synthesis. Genet. Program. Evolvable Mach. 12(1): 49-77 (2011) - [j5]Ukrit Watchareeruetai, Akisato Kimura, Robert Cheng Bao, Takahito Kawanishi, Kunio Kashino:
Interest Point Detection Based on Stochastically Derived Stability. IPSJ Trans. Comput. Vis. Appl. 3: 186-197 (2011) - 2010
- [j4]Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Multi-Objective Genetic Programming with Redundancy-Regulations for Automatic Construction of Image Feature Extractors. IEICE Trans. Inf. Syst. 93-D(9): 2614-2625 (2010) - [j3]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Evaluations of Feature Extraction Programs Synthesized by Redundancy-removed Linear Genetic Programming: A Case Study on the Lawn Weed Detection Problem. J. Inf. Process. 18: 164-174 (2010)
2000 – 2009
- 2009
- [j2]Ukrit Watchareeruetai, Tetsuya Matsumoto, Noboru Ohnishi, Hiroaki Kudo, Yoshinori Takeuchi:
Acceleration of Genetic Programming by Hierarchical Structure Learning: A Case Study on Image Recognition Program Synthesis. IEICE Trans. Inf. Syst. 92-D(10): 2094-2102 (2009) - [c6]Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Construction of Image Feature Extractors Based on Multi-objective Genetic Programming with Redundancy Regulations. SMC 2009: 1328-1333 - [p1]Ukrit Watchareeruetai, Tetsuya Matsumoto, Yoshinori Takeuchi, Hiroaki Kudo, Noboru Ohnishi:
Efficient Construction of Image Feature Extraction Programs by Using Linear Genetic Programming with Fitness Retrieval and Intermediate-Result Caching. Foundations of Computational Intelligence (4) 2009: 355-375 - 2008
- [c5]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Transformation of redundant representations of linear genetic programming into canonical forms for efficient extraction of image features. IEEE Congress on Evolutionary Computation 2008: 1996-2003 - 2007
- [c4]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Modified Lawn Weed Detection: Utilization of Edge-Color Based SVM and Grass-Model Based Blob Inspection Filterbank. ICONIP (2) 2007: 30-39 - [c3]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
A Lawn Weed Detection in Winter Season Based on Color Information. MVA 2007: 524-527 - 2006
- [j1]Ukrit Watchareeruetai, Yoshinori Takeuchi, Tetsuya Matsumoto, Hiroaki Kudo, Noboru Ohnishi:
Computer vision based methods for detecting weeds in lawns. Mach. Vis. Appl. 17(5): 287-296 (2006) - 2005
- [c2]Vutipong Areekul, Ukrit Watchareeruetai, Kittiwat Suppasriwasuseth, Sawasd Tantaratana:
Separable Gabor filter realization for fast fingerprint enhancement. ICIP (3) 2005: 253-256 - 2004
- [c1]Vutipong Areekul, Ukrit Watchareeruetai, Sawasd Tantaratana:
Fast Separable Gabor Filter for Fingerprint Enhancement. ICBA 2004: 403-409
Coauthor Index
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last updated on 2023-11-14 01:41 CET by the dblp team
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