Open Data Science Conference (2020/04)
Microsoft AI Immersion Workshop (05/2017)
[1] Patent (first author), Method for performing a multi-clustering merge for use in an image process, US8842907, 2014.
[2] Patent (second author), Log-chromaticity clustering pipeline for use in an image process, US8849018, 2014.
[3] Buehler P., Carroll B., Bhatia A., Gupta V., and Lee D., An automated program to find animals and crop photographs for individual recognition, Ecological Informatics, 2019.
[4] Buehler P., and Hazen T.J., Efficient Creation of Accurate Spoken Language Understanding Models in new Domains, Submitted to SLT 2014 [pdf]
[5] Buehler P., Automatic Learning of British Sign Language from Signed TV Broadcasts, PhD thesis, 2010
[6] Buehler P., Everingham M., and Zisserman A., Exploiting Signed TV Broadcasts for Automatic Learning of British Sign Language, LREC 2010 - Workshop on the Representation and Processing of Sign Languages, oral
[7] Buehler P., Everingham M., Huttenlocher D.P., and Zisserman A., Upper Body Detection and Tracking in Extended Video Sequences, International Journal of Computer Vision (IJCV) [pdf]
[8] Buehler P., Everingham M., and Zisserman A., Learning Sign Language by Watching TV (Using Weakly Aligned Subtitles), Computer Vision and Pattern Recognition 2009 (CVPR), oral (acceptance rate: 4%) [pdf]
[9] Buehler P., Everingham M., Huttenlocher D.P., and Zisserman A., Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts, British Machine Vision Conference 2008 (BMVC), oral (acceptance rate: 12%) [pdf]
[10] Buehler P., Rebholz P., and Hesser J., Automatic 3D reconstruction of the coronary artery tree based on stochastic branch and bound, SPIE – International conference on Physiology, Function, and Structure from Medical Images, 2005
[11] Buehler P., 3D reconstruction of the coronary tree from orthogonal x-ray projections, Master's thesis, 2005
I presented talks and organized labs for various small and large Microsoft internal conferences. In addition, I presented at these external conferences:
[1] Multiple Computer Vision / Machine Learning tutorials at Microsoft's internal MLADS workshops, Redmond, 2016-2021.
[2] How to Solve Real-World Computer Vision Problems Using Open-Source, Open Data Science Conference (ODSC), Talk + webinar, Boston, 2020.
[3] Building and Deploying Computer Vision Solutions, O'Reilly Artificial Intelligence conference, London, 2020.
[4] Deep-learning based Computer Vision, O'Reilly Artificial Intelligence conference, New York, 2017.
[5] Deep-learning based Object Detection, AI immersion workshop, Seattle, 2016.
[6] Learning Sign Language by Watching TV (Using Weakly Aligned Subtitles), Computer Vision and Pattern Recognition (CVPR), Miami, 2009.
[7] Long Term Arm and Hand Tracking for Continuous Sign Language TV Broadcasts, British Machine Vision Conference (BMVC), Leeds, 2008.