Peng Zhang
Peng Zhang
Verified email at vt.edu
Title
Cited by
Cited by
Year
Yin and yang: Balancing and answering binary visual questions
P Zhang, Y Goyal, D Summers-Stay, D Batra, D Parikh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2462016
Predicting failures of vision systems
P Zhang, J Wang, A Farhadi, M Hebert, D Parikh
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014
1142014
Multi-scale convolutional architecture for semantic segmentation
A Raj, D Maturana, S Scherer
Robotics Institute, Carnegie Mellon University, Tech. Rep. CMU-RITR-15-21, 2015
29*2015
CASA-NLU: Context-Aware self-attentive natural language understanding for task-oriented chatbots
A Gupta, P Zhang, G Lalwani, M Diab
arXiv preprint arXiv:1909.08705, 2019
92019
Towards interpretable vision systems
P Zhang
Virginia Tech, 2017
22017
A SIFT-point distribution-based method for head pose estimation
N Ghadarghadar, E Ataer-Cansizoglu, P Zhang, D Erdogmus
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-4, 2012
12012
Local linear approximation of principal curve projections
P Zhang, E Ataer-Cansizoglu, D Erdogmus
2012 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2012
12012
Amazon AI, Seattle Amazon AI, East Palo Alto {arshig, pezha, glalwani, diabmona}@ amazon. com
A Gupta, P Zhang, G Lalwani, M Diab
Failure Prediction in Vision Systems
P Zhang, J Wang, A Farhadi, M Hebert, D Parikh
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Articles 1–9