Multiview Detection with Feature Perspective Transformation

Fleuret, F., Berclaz, J., Lengagne, R., Fua, P.: Multicamera people tracking with a probabilistic occupancy map. IEEE transactions on pattern analysis and machine intelligence 30

2007

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Kasturi, R., Goldgof, D., Soundararajan, P., Manohar, V., Garofolo, J., Bowers, R., Boonstra, M., Korzhova, V., Zhang, J.: Framework for performance evaluation of face, text, and vehicle detection and tracking in video: Data, metrics, and protocol. IEEE Transactions on Pattern Analysis and Machine Intelligence 31

2008

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Roig, G., Boix, X., Shitrit, H.B., Fua, P.: Conditional random fields for multi-camera object detection. In: 2011 International Conference on Computer Vision. pp. 563–570. IEEE (2011)

2011

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Gupta, S., Girshick, R., Arbeláez, P., Malik, J.: Learning rich features from rgb-d images for object detection and segmentation. In: European conference on computer vision. pp. 345–360. Springer (2014)

2014

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Chen, X., Kundu, K., Zhu, Y., Berneshawi, A.G., Ma, H., Fidler, S., Urtasun, R.: 3d object proposals for accurate object class detection. In: Advances in Neural Information Processing Systems. pp. 424–432 (2015)

2015

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Girshick, R.: Fast r-cnn object detection with caffe. Microsoft Research (2015)

2015

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Jaderberg, M., Simonyan, K., Zisserman, A., et al.: Spatial transformer networks. In: Advances in neural information processing systems. pp. 2017–2025 (2015)

2015

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Ouyang, W., Zeng, X., Wang, X.: Partial occlusion handling in pedestrian detection with a deep model. IEEE Transactions on Circuits and Systems for Video Technology 26

2015

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Ren, S., He, K., Girshick, R., Sun, J.: Faster r-cnn: Towards real-time object detection with region proposal networks. In: Advances in neural information processing systems. pp. 91–99 (2015)

2015

Earlier work this paper cites.

Su, H., Maji, S., Kalogerakis, E., Learned-Miller, E.: Multi-view convolutional neural networks for 3d shape recognition. In: Proceedings of the IEEE international conference on computer vision. pp. 945–953 (2015)

2015

Earlier work this paper cites.

Tian, Y., Luo, P., Wang, X., Tang, X.: Deep learning strong parts for pedestrian detection. In: Proceedings of the IEEE international conference on computer vision. pp. 1904–1912 (2015)

2015

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Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. arXiv preprint arXiv:1511.07122 (2015)

Original

2015

Earlier work this paper cites.

Zheng, S., Jayasumana, S., Romera-Paredes, B., Vineet, V., Su, Z., Du, D., Huang, C., Torr, P.H.: Conditional random fields as recurrent neural networks. In: Proceedings of the IEEE international conference on computer vision. pp. 1529–1537 (2015)

2015

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He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE conference on computer vision and pattern recognition. pp. 770–778 (2016)

2016

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Hoffman, J., Gupta, S., Leong, J., Guadarrama, S., Darrell, T.: Cross-modal adaptation for rgb-d detection. In: 2016 IEEE International Conference on Robotics and Automation (ICRA). pp. 5032–5039. IEEE (2016)

2016

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Liu, W., Anguelov, D., Erhan, D., Szegedy, C., Reed, S., Fu, C.Y., Berg, A.C.: Ssd: Single shot multibox detector. In: European conference on computer vision. pp. 21–37. Springer (2016)

2016

Earlier work this paper cites.

Wu, J., Xue, T., Lim, J.J., Tian, Y., Tenenbaum, J.B., Torralba, A., Freeman, W.T.: Single image 3d interpreter network. In: European Conference on Computer Vision. pp. 365–382. Springer (2016)

2016

Cited alongside, same era.

Xu, Y., Liu, X., Liu, Y., Zhu, S.C.: Multi-view people tracking via hierarchical trajectory composition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 4256–4265 (2016)

2016

Cited alongside, same era.

Yan, X., Yang, J., Yumer, E., Guo, Y., Lee, H.: Perspective transformer nets: Learning single-view 3d object reconstruction without 3d supervision. In: Advances in neural information processing systems. pp. 1696–1704 (2016)

2016

Cited alongside, same era.

Baqué, P., Fleuret, F., Fua, P.: Deep occlusion reasoning for multi-camera multi-target detection. In: Proceedings of the IEEE International Conference on Computer Vision. pp. 271–279 (2017)

2017

Cited alongside, same era.

Qi, C.R., Liu, W., Wu, C., Su, H., Guibas, L.J.: Frustum pointnets for 3d object detection from rgb-d data. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 918–927 (2018)

2018

Later among the works it cites.

Song, T., Sun, L., Xie, D., Sun, H., Pu, S.: Small-scale pedestrian detection based on topological line localization and temporal feature aggregation. In: Proceedings of the European Conference on Computer Vision (ECCV). pp. 536–551 (2018)

2018

Later among the works it cites.

Wang, F., Zhao, L., Li, X., Wang, X., Tao, D.: Geometry-aware scene text detection with instance transformation network. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 1381–1389 (2018)

2018

Later among the works it cites.

Wang, X., Xiao, T., Jiang, Y., Shao, S., Sun, J., Shen, C.: Repulsion loss: Detecting pedestrians in a crowd. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. pp. 7774–7783 (2018)

2018