Unsupervised Detector Adaptation by Joint Dataset Feature Learning. - Kyaw Kyaw Htike; David C. Hogg (ICCVG, 2014)

Weakly supervised pedestrian detector training by unsupervised prior learning and cue fusion in videos. - Kyaw Kyaw Htike; David C. Hogg (ICIP, 2014)

Efficient Non-iterative Domain Adaptation of Pedestrian Detectors to Video Scenes. - Kyaw Kyaw Htike; David C. Hogg (ICPR, 2014)

Domain adaptation for pedestrian detection. - Kyaw Kyaw Htike (2014)

Adapting pedestrian detectors to new domains: A comprehensive review. - Kyaw Kyaw Htike; David C. Hogg (Eng. Appl. Artif. Intell., 2016)

A review on data-driven learning of a talking head model. - Kyaw Kyaw Htike (Int. J. Intell. Syst. Technol. Appl., 2017)

Hidden-layer Ensemble Fusion of MLP Neural Networks for Pedestrian Detection. - Kyaw Kyaw Htike (Informatica (Slovenia), 2017)

Efficient determination of the number of weak learners in AdaBoost. - Kyaw Kyaw Htike (J. Exp. Theor. Artif. Intell., 2017)

Predicting rainfall using neural nets. - Kyaw Kyaw Htike (Int. J. Comput. Sci. Eng., 2018)

Efficient holistic feature basis learning for pedestrian detection. - Kyaw Kyaw Htike (Int. J. Comput. Vis. Robotics, 2018)

Forests of unstable hierarchical clusters for pattern classification. - Kyaw Kyaw Htike (Soft Comput., 2018)