Trinh, Hoang (Vietnamese name: Trịnh Nguyên Hoàng) PhD in Computer Science
About me: I am currently a lead applied researcher at Ebay Inc, applying machine learning, data science and AI to bringing better e-comerce experience to customers. Prior to that, I was data science team lead and senior data scientist at Misfit, focusing on gaining insights into users' activeness and healthiness, from multi-sensor data as well as their derived data, using signal processing, machine learning, statistics and data analysis techniques. I had previously been with UtopiaCompression, and IBM Research T. J. Watson, building multiple real-world machine learning and computer vision systems. My PhD thesis, under the supervision of Prof. David McAllester, introduced a general machine learning approach called Unsupervised CRF learning based on maximizing the conditional likelihood, with application to computer vision systems that recover the 3-D scene geometry from images. Research interests: Machine learning, Data science, AI, Computer Vision, NLP, and Robotics Profile: LinkedIn |
Unsupervised Learning of Stereo Vision with Monocular Cues.
(with David McAllester) BMVC 2009. This paper was part of a talk given by Prof. David McAllester at MLSS'09. In this paper we used a modified version of the Stanford Stereo Dataset. You can click to download our training data and the testing data . |
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Hand Tracking by Binary Quadratic Programming.
H. Trinh, Q. Fan, P. Gabbur, S. Pankanti. CVPR 2012. |
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Detecting Human Activities in Retail Surveillance Using Hierarchical Finite State Machine.
H. Trinh, Q. Fan, S. Pankanti et al. ICASSP 2011. |
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Enhanced Rail Component Detection and Consolidation for Rail Track Inspection.
H. Trinh, Y. Li, N. Haas, C. Otto, S. Pankanti. WACV 2012. |
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Saliency-based UAV Video Event Detection and Summarization.
H. Trinh, J. Li, S. Pankanti. ICPR 2012. |
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Multimodal Ranking for Non-Compliance Detection in Retail Surveillance.
H. Trinh, S. Pankanti, Q. Fan. WACV 2012 (oral). |
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Human face and facial parts detection and segmentation.
FlashFoto project. |
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A Machine Learning Approach to Recovery of Scene Geometry from Images.
PhD Thesis, July 2010. |
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Structure and Motion from Road-Driving Stereo Sequences.
IEEE Workshop on 3D Information Extraction for Video Analysis and Mining - CVPR 2010. Video 1: The road-driving sequence Video 2: The depth map Video 3: Road and sky detection Video 4: 3D scene reconstruction |
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Stereo Pair Training of Monocular Depth Estimation.
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Efficient Stereo Algorithm using Multiscale Belief Propagation on Segmented Images.
BMVC 2008. |
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Particle-based Belief Propagation for Structure from Motion and Dense Stereo Vision with unknown camera constraints.
(with David McAllester) 2nd Robot Vision Workshop, Proceedings. LNCS 4931 Springer 2008, ISBN 978-3-540-78156-1. |
ntrinh at ttic dot edu