3D object class detection in the wild

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn 2015-October, Issue , 2015, Pages 1-10

  Pepik, Bojan ^a   Stark, Michael ^a   Gehler, Peter ^b   Ritschel, Tobias ^a   Schiele, Bernt ^a  

^a MAX PLANCK INSTITUTE FOR INFORMATICS   (Germany)

^b MAX PLANCK INSTITUTE FOR INTELLIGENT SYSTEMS   (Germany)

Author keywords

Computational modeling; Design automation; Detectors; Pipelines; Shape; Solid modeling; Three dimensional displays

Indexed keywords

COMPUTER AIDED DESIGN; COMPUTER VISION; DETECTORS; OBJECT RECOGNITION; PIPELINES; THREE DIMENSIONAL DISPLAYS;

COMPUTATIONAL MODEL; DESIGN AUTOMATIONS; IMAGE REPRESENTATIONS; OBJECT CLASS DETECTIONS; SHAPE; SOLID MODEL; STATE-OF-THE-ART PERFORMANCE; STATISTICAL LEARNING TECHNIQUES;

OBJECT DETECTION;

EID: 84951923217     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2015.7301358     Document Type: Conference Paper

References (57)

1. M. Andriluka, S. Roth, and B. Schiele. Pictorial structures revisited: People detection and articulated pose estimation. In CVPR'09. 2
2. M. Arie-Nachimson and R. Basri. Constructing implicit 3D shape models for pose estimation. In ICCV'09. 1
3. M. Aubry, D. Maturana, A. Efros, B. Russell, and J. Sivic. Seeing 3d chairs: exemplar part-based 2d-3d alignment using a large dataset of cad models. In CVPR, 2014. 1, 2, 4, 5
4. A. Bakry and A. Elgammal. Untangling object-view manifold for multiview recognition and pose estimation. In ECCV, 2014. 2
5. P. based R-CNNs for Fine-grained Category Detection. Ning zhang, jeff donahue, ross girshick, trevor darrell. In ECCV, 2014. 3
6. T.W. Bo Li and S.-C. Zhu. Integrating context and occlusion for car detection by hierarchical and-or model. In ECCV, 2014. 1
7. L. Bourdev and J. Malik. Poselets: Body part detectors trained using 3d human pose annotations. In ICCV, 2009. 2
8. R. A. Brooks. Symbolic reasoning among 3-d models and 2-d images. AI'81. 1
9. J. Carreira, R. Caseiro, J. Batista, and C. Sminchisescu. Semantic segmentation with second-order pooling. In ECCV'12. 8
10. X. Chen, R. Mottaghi, X. Liu, S. Fidler, R. Urtasun, and A. Yuille. Detect what you can: Detecting and representing objects using holistic models and body parts. In CVPR'14. 4
11. J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei. ImageNet: A Large-Scale Hierarchical Image Database. In CVPR'09. 3
12. A. Ess, B. Leibe, K. Schindler, and L. V. Gool. Robust multiperson tracking from a mobile platform. PAMI'09. 1
13. M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman. The pascal visual object classes (VOC) challenge. IJCV'10. 2, 3, 5, 6
14. R. Farrell, O. Oza, N. Zhang, V. I. Morariu, T. Darrell, and L. S. Davis. Birdlets: Subordinate categorization using volumetric primitives and pose-normalized appearance. In ICCV'11. 3
15. P. F. Felzenszwalb, R. Girshick, D. McAllester, and D. Ramanan. Object detection with discriminatively trained part based models. TPAMI'10. 2, 4, 5, 6, 7
16. P. F. Felzenszwalb and D. P. Huttenlocher. Pictorial structures for object recognition. IJCV'05. 4
17. R. Fergus, P. Perona, and A. Zisserman. Object class recognition by unsupervised scale-invariant learning. In CVPR'03. 4
18. S. Fidler, S. Dickinson, and R. Urtasun. 3D object detection and viewpoint estimation with a deformable 3D cuboid model. In NIPS'12. 1, 2
19. A. Geiger, M. Lauer, C. Wojek, C. Stiller, and R. Urtasun. 3d traffic scene understanding from movable platforms. TPAMI'14. 1
20. R. Girshick, J. Donahue, T. Darrell, and J. Malik. Rich feature hierarchies for accurate object detection and semantic segmentation. In CVPR'14. 2, 3, 6
21. D. Glasner, M. Galun, S. Alpert, R. Basri, and G. Shakhnarovich. Viewpoint-aware object detection and pose estimation. In ICCV'11. 3
22. C. Gu and X. Ren. Discriminative mixture-of-templates for viewpoint classification. In ECCV'10. 1, 2
23. J. Hosang, R. Benenson, and B. Schiele. How good are detection proposals, really? In BMVC'14. 4
24. Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. arXiv preprint arXiv: 1408.5093, 2014. 3
25. A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS'12. 3
26. B. Leibe, A. Leonardis, and B. Schiele. Robust object detection with interleaved categorization and segmentation. IJCV, 77 (1-3): 259-289, 2008. 4
27. J. Liebelt and C. Schmid. Multi-view object class detection with a 3D geometric model. In CVPR'10. 1, 5
28. J. Liebelt, C. Schmid, and K. Schertler. Viewpointindependent object class detection using 3D feature maps. In CVPR'08. 1, 2
29. J. J. Lim, A. Khosla, and A. Torralba. Fpm: Fine pose partsbased model with 3d cad models. In ECCV, 2014. 1, 2, 5
30. J. J. Lim, H. Pirsiavash, and A. Torralba. Parsing IKEA Objects: Fine Pose Estimation. In ICCV, 2013. 1, 2, 5
31. R. J. Lopez-Sastre, T. Tuytelaars, and S. Savarese. Deformable part models revisited: A performance evaluation for object category pose estimation. In ICCV-WS CORP'11. 1, 2
32. D. G. Lowe. Three-dimensional object recognition from single two-dimensional images. AI'87. 1
33. D. Marr and H. K. Nishihara. Representation and recognition of the spatial organization of three-dimensional shapes. PRSLB'78. 1
34. M.Hejrati and D.Ramanan. Analysis by synthesis: 3d object recognition by object reconstruction. In CVPR'14. 1, 2
35. M.Hejrati and D.Ramanan. Analyzing 3D objects in cluttered images. In NIPS'12. 1, 2
36. R. Mottaghi, X. Chen, X. Liu, N.-G. Cho, S.-W. Lee, S. Fidler, R. Urtasun, and A. Yuille. The role of context for object detection and semantic segmentation in the wild. In CVPR'14. 8
37. M. Ozuysal, V. Lepetit, and P. Fua. Pose estimation for category specific multiview object localization. In CVPR'09. 1, 2
38. N. Payet and S. Todorovic. From contours to 3d object detection and pose estimation. In ICCV'11. 2
39. A. P. Pentland. Perceptual organization and the representation of natural form. AI'86. 1
40. B. Pepik, P. Gehler, M. Stark, and B. Schiele. 3DDPM - 3d deformable part models. In ECCV'12. 1, 2, 5
41. B. Pepik, M. Stark, P. Gehler, and B. Schiele. Occlusion patterns for object class detection. In CVPR'13. 1
42. B. Pepik, M. Stark, P. Gehler, and B. Schiele. Teaching 3d geometry to deformable part models. In CVPR'12. 1, 2, 3, 5, 6
43. S. Savarese and L. Fei-Fei. 3D generic object categorization, localization and pose estimation. In ICCV'07. 1, 2, 3, 5
44. M. Stark, M. Goesele, and B. Schiele. Back to the future: Learning shape models from 3D CAD data. In BMVC'10. 1, 2
45. H. Su, M. Sun, L. Fei-Fei, and S. Savarese. Learning a dense multi-view representation for detection, viewpoint classification and synthesis of object categories. In ICCV'09. 2
46. M. Sun, B. Xu, G. Bradski, and S. Savarese. Depth-encoded hough voting for joint object detection and shape recovery. In ECCV'10. 2
47. A. Thomas, V. Ferrari, B. Leibe, T. Tuytelaars, B. Schiele, and L. Van Gool. Towards multi-view object class detection. In CVPR'06. 1, 2
48. J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders. Selective search for object recognition. IJCV'13. 3, 4
49. C. Wojek, S. Roth, K. Schindler, and B. Schiele. Monocular 3D scene modeling and inference: Understanding multiobject traffic scenes. In ECCV'10. 1
50. Y. Xiang, R. Mottaghi, and S. Savarese. Beyond pascal: A benchmark for 3D object detection in the wild. In WACV'14. 1, 2, 3, 5, 6, 7, 8
51. Y. Xiang and S. Savarese. Estimating the aspect layout of object categories. In CVPR'12. 1, 2
52. Y. Xiang, C. Song, R. Mottaghi, and S. Savarese. Monocular multiview object tracking with 3d aspect parts. In European Conference on Computer Vision (ECCV), 2014. 1
53. P. Yan, S. Khan, and M. Shah. 3D model based object class detection in an arbitrary view. In ICCV'07. 2
54. Y. Yang and D. Ramanan. Articulated human detection with flexible mixtures of parts. TPAMI'13. 7
55. E. Yoruk and R. Vidal. Efficient object localization and pose estimation with 3D wireframe models. In 3DRR'13. 1, 2
56. M. Z. Zia, M. Stark, B. Schiele, and K. Schindler. Detailed 3D representations for object recognition and modeling. TPAMI'13. 1, 2, 3, 5
57. M. Z. Zia, M. Stark, and K. Schindler. Explicit occlusion modeling for 3d object class representations. In CVPR'13. 1, 2, 3