Syed Zain Masood

11 papers A* 1A 1B 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2017 J jnl
DAGER: Deep Age, Gender and Emotion Recognition Using Convolutional Neural Network.
CoRR
Afshin Dehghan, Enrique G. Ortiz, Guang Shu, Syed Zain Masood
2017 J jnl
License Plate Detection and Recognition Using Deeply Learned Convolutional Neural Networks.
CoRR
Syed Zain Masood, Guang Shu, Afshin Dehghan, Enrique G. Ortiz
2017 J jnl
View Independent Vehicle Make, Model and Color Recognition Using Convolutional Neural Network.
CoRR
Afshin Dehghan, Syed Zain Masood, Guang Shu, Enrique G. Ortiz
2014 A conf
Action Recognition by Weakly-Supervised Discriminative Region Localization.
BMVC
Hakan Boyraz, Syed Zain Masood, Baoyuan Liu, Marshall F. Tappen, Hassan Foroosh
2014 J jnl
Exploring album structure for face recognition in online social networks.
Image Vis. Comput.
Jason Hochreiter, Zhongkai Han, Syed Zain Masood, Spencer Fonte, Marshall F. Tappen
2013 B conf
Album-oriented face recognition for online social networks.
FG
Zhongkai Han, Syed Zain Masood, Jason Hochreiter, Spencer Fonte, Marshall F. Tappen
2013 J jnl
Exploring the Trade-off Between Accuracy and Observational Latency in Action Recognition.
Int. J. Comput. Vis.
Christopher Ellis, Syed Zain Masood, Marshall F. Tappen, Joseph J. LaViola Jr., Rahul Sukthankar
2011 — conf
Correcting cuboid corruption for action recognition in complex environment.
ICCV Workshops
Syed Zain Masood, Adarsh Nagaraja, Nazar Khan, Jiejie Zhu, Marshall F. Tappen
2011 — conf
Measuring and reducing observational latency when recognizing actions.
ICCV Workshops
Syed Zain Masood, Christopher Ellis, Adarsh Nagaraja, Marshall F. Tappen, Joseph J. LaViola Jr., Rahul Sukthankar
2010 A* conf
Learning to recognize shadows in monochromatic natural images.
CVPR
Jiejie Zhu, Kegan G. G. Samuel, Syed Zain Masood, Marshall F. Tappen
2009 J jnl
Automatic Correction of Saturated Regions in Photographs using Cross-Channel Correlation.
Comput. Graph. Forum
Syed Zain Masood, Jiejie Zhu, Marshall F. Tappen