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Brian Potetz
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2010 – 2019
- 2019
- [c9]Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam:
Geo-Aware Networks for Fine-Grained Recognition. ICCV Workshops 2019: 247-254 - [i1]Grace Chu, Brian Potetz, Weijun Wang, Andrew Howard, Yang Song, Fernando Brucher, Thomas Leung, Hartwig Adam:
Geo-Aware Networks for Fine Grained Recognition. CoRR abs/1906.01737 (2019) - 2014
- [j2]Jason M. Samonds, Brian Potetz, Tai Sing Lee:
Sample Skewness as a Statistical Measurement of Neuronal Tuning Sharpness. Neural Comput. 26(5): 860-906 (2014) - 2013
- [c8]Brian Potetz, Mohammadreza Hajiarbabi:
Whitened Expectation Propagation: Non-Lambertian Shape from Shading and Shadow. CVPR 2013: 1674-1681 - 2012
- [c7]Ashwini Shikaripur Nadig, Brian Potetz:
A hierarchical Bayesian model for pattern recognition. IJCNN 2012: 1-8 - 2011
- [c6]Meenakshi Mishra, Brian Potetz, Jun Huan:
Bayesian Classifiers for Chemical Toxicity Prediction. BIBM 2011: 595-599 - [c5]Yuxin Chen, Brian Potetz, Bo Luo, Xue-wen Chen, Yunfeng Lin:
Cephalometric Landmark Tracing Using Deformable Templates. HISB 2011: 112-119 - [c4]Brian Potetz:
Estimating the Bayes Point Using Linear Knapsack Problems. ICML 2011: 257-264
2000 – 2009
- 2008
- [j1]Brian Potetz, Tai Sing Lee:
Efficient belief propagation for higher-order cliques using linear constraint nodes. Comput. Vis. Image Underst. 112(1): 39-54 (2008) - 2007
- [c3]Brian Potetz:
Efficient Belief Propagation for Vision Using Linear Constraint Nodes. CVPR 2007 - 2006
- [c2]Jason M. Samonds, Brian Potetz, Tai Sing Lee:
Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation. NIPS 2006: 1201-1208 - 2005
- [c1]Brian Potetz, Tai Sing Lee:
Scaling Laws in Natural Scenes and the Inference of 3D Shape. NIPS 2005: 1089-1096
Coauthor Index
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