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Labelling Stomach Anatomical Locations In Upper Gastrointestinal Endoscopic Images Using a CNN., , , , , , , and . SoICT, page 362-369. ACM, (2019)Acquiring qualified samples for RANSAC using geometrical constraints., , , , and . Pattern Recognit. Lett., (2018)Adaptive most joint selection and covariance descriptions for a robust skeleton-based human action recognition., , , , and . Multim. Tools Appl., 80 (18): 27757-27783 (2021)GCSAC: geometrical constraint sample consensus for primitive shapes estimation in 3D point cloud., , , , and . Int. J. Comput. Vis. Robotics, 9 (4): 387-411 (2019)Recognition of hand gestures from cyclic hand movements using spatial-temporal features., , and . SoICT, page 260-267. ACM, (2015)A robust and high-performance neural network for classifying landmarks in upper gastrointestinal endoscopy images., , , , and . SoICT, page 254-261. ACM, (2022)Boundary delineation of reflux esophagitis lesions from endoscopic images using color and texture., , , , , and . MAPR, page 1-6. IEEE, (2021)A Robust Multiple Honeybee Tracking Method from Videos Captured at Beehive Entrance., , , , , and . MAPR, page 1-6. IEEE, (2023)Pedestrian Localization and Trajectory Reconstruction in a Surveillance Camera Network., , , and . SoICT, page 393-400. ACM, (2017)A Web-Based Education System for Reading Video Capsule Endoscopy., , , , , , , and . ICPR, page 2721-2726. IEEE Computer Society, (2014)