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Nam N. Vo
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2010 – 2019
- 2018
- [i3]Nam N. Vo, James Hays:
Generalization in Metric Learning: Should the Embedding Layer be the Embedding Layer? CoRR abs/1803.03310 (2018) - 2017
- [c6]Nam N. Vo, Nathan Jacobs
, James Hays:
Revisiting IM2GPS in the Deep Learning Era. ICCV 2017: 2640-2649 - [i2]Nam N. Vo, Nathan Jacobs, James Hays:
Revisiting IM2GPS in the Deep Learning Era. CoRR abs/1705.04838 (2017) - 2016
- [j1]Nam N. Vo
Sequential Interval Network for parsing complex structured activity. Comput. Vis. Image Underst. 143: 147-158 (2016) - [c5]Nam N. Vo, James Hays:
Localizing and Orienting Street Views Using Overhead Imagery. ECCV (1) 2016: 494-509 - [i1]Nam N. Vo, James Hays:
Localizing and Orienting Street Views Using Overhead Imagery. CoRR abs/1608.00161 (2016) - 2015
- [c4]Nam N. Vo, Aaron F. Bobick:
Augmenting physical state prediction through structured activity inference. ICRA 2015: 748-755 - 2014
- [c3]Nam N. Vo, Aaron F. Bobick:
From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity. CVPR 2014: 2641-2648 - [c2]Kelsey P. Hawkins, Shray Bansal, Nam N. Vo, Aaron F. Bobick:
Anticipating human actions for collaboration in the presence of task and sensor uncertainty. ICRA 2014: 2215-2222 - 2013
- [c1]Kelsey P. Hawkins, Nam N. Vo, Shray Bansal, Aaron F. Bobick:
Probabilistic human action prediction and wait-sensitive planning for responsive human-robot collaboration. Humanoids 2013: 499-506
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