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Nam Vo

PhD Student
Computational Perception Laboratory
Interactive Computing, College of Computing
Georgia Institute of Technology

Email: nam[delete-this]vo@gatech.edu

[Resume] [Linkedin] [Google Scholar]

 

    My research interest is Computer Vision & Machine Learning. I am advised by James Hays and currently working on image ranking & geolocalization using deep learning. Previously I worked with Aaron Bobick on human activity recognition. I got my B.S degree from the University of Natural Sciences, HCMC, Vietnam, where I was advised by Tien Dinh working on visual object tracking.

News
  • July 2016: paper accepted to ECCV 2016
  • June 2016: I will be interning at Google Research this summer
  • May 2015: I will be interning at Google this summer.
  • January 2015: paper accepted to ICRA 2015.
  • February 2014: paper accepted to CVPR 2014.
Publications
X Localizing and Orienting Street Views Using Overhead Imagery
Nam N. Vo and James Hays
ECCV 2016 [webpage] [pdf]
X Augmenting physical state prediction through structured activity inference
Nam N. Vo and Aaron F. Bobick
ICRA 2015 [webpage] [pdf]
X Sequential Interval Network for Parsing Complex Structured Activity
Nam N. Vo and Aaron F. Bobick
CVIU 2016 [Link]
From Stochastic Grammar to Bayes Network: Probabilistic Parsing of Complex Activity

Nam N. Vo and Aaron F. Bobick
CVPR 2014 [webpage] [pdf]
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X Anticipating human actions for collaboration in the presence of task and sensor uncertainty
Kelsey P. Hawkins, Shray Bansal, Nam N. Vo, and Aaron F. Bobick
ICRA 2014 [pdf]
Modeling structured activity to support human-robot collaboration in the presence of task and sensor uncertainty
Kelsey P. Hawkins, Shray Bansal, Nam Vo, and Aaron F. Bobick
IROS Workshop on Cognitive Robotics Systems 2013 [pdf]
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X Probabilistic Human Action Prediction and Wait-Sensitive Planning for Responsive Human-Robot Collaboration
Kelsey P. Hawkins, Nam Vo, Shray Bansal, and Aaron F. Bobick
IEEE-RAS International Conference on Humanoid Robots (Humanoids) 2013 [pdf]
X Context Tracker: Exploring Supporters and Distracters in Unconstrained Environments
T. B. Dinh, N. Vo, and G. Medioni
CVPR 2011 [pdf]
Robust Visual Tracking Using Randomized Forest and Online Appearance.
Nam N. Vo, Quang M. Tran, Thang B. Dinh, and Tien B. Dinh,
ACIIDS 2011 [pdf]
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X High Resolution Face Sequences from A PTZ Network Camera
T. B. Dinh, N. Vo, and G. Medioni
FG 2011 [pdf]
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An Efficient Human-Computer Interaction Framework Using Skin Color Tracking and Gesture Recognition
Nam N. Vo, Quang M. Tran, Thang B. Dinh, and Tien B. Dinh
IEEE RIVF 2010 [pdf]
Misc

L, N.

 



Updated July 2016