Title | ||
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Learning And-Or Models to Represent Context and Occlusion for Car Detection and Viewpoint Estimation. |
Abstract | ||
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This paper presents a method for learning an And-Or model to represent context and occlusion for car detection and viewpoint estimation. The learned And-Or model represents car-to-car context and occlusion configurations at three levels: (i) spatially-aligned cars, (ii) single car under different occlusion configurations, and (iii) a small number of parts. The And-Or model embeds a grammar for rep... |
Year | DOI | Venue |
---|---|---|
2016 | 10.1109/TPAMI.2015.2497699 | IEEE Transactions on Pattern Analysis and Machine Intelligence |
Keywords | DocType | Volume |
Solid modeling,Context modeling,Automobiles,Context,Data models,Estimation,Design automation | Journal | 38 |
Issue | ISSN | Citations |
9 | 0162-8828 | 9 |
PageRank | References | Authors |
0.48 | 42 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Tianfu Wu | 1 | 331 | 26.72 |
Bo Li | 2 | 63 | 4.01 |
Song-Chun Zhu | 3 | 6580 | 741.75 |