RESOUND: Towards Action Recognition Without Representation Bias
暂无分享,去创建一个
Yi Li | Nuno Vasconcelos | Yingwei Li | N. Vasconcelos | Yingwei Li | Yi Li
[1] Bernt Schiele,et al. A database for fine grained activity detection of cooking activities , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[3] Pietro Perona,et al. The Caltech-UCSD Birds-200-2011 Dataset , 2011 .
[4] Kristen Grauman,et al. Fine-Grained Visual Comparisons with Local Learning , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[5] James Hays,et al. COCO Attributes: Attributes for People, Animals, and Objects , 2016, ECCV.
[6] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[7] Cordelia Schmid,et al. Actions in context , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[8] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[9] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Luc Van Gool,et al. Temporal Segment Networks: Towards Good Practices for Deep Action Recognition , 2016, ECCV.
[11] Bolei Zhou,et al. Places: A 10 Million Image Database for Scene Recognition , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[13] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[14] Ali Farhadi,et al. Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding , 2016, ECCV.
[15] Cordelia Schmid,et al. Actions in context , 2009, CVPR.
[16] Trevor Darrell,et al. Long-term recurrent convolutional networks for visual recognition and description , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Abhinav Gupta,et al. What Actions are Needed for Understanding Human Actions in Videos? , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[18] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[19] Matthew J. Hausknecht,et al. Beyond short snippets: Deep networks for video classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Bernard Ghanem,et al. ActivityNet: A large-scale video benchmark for human activity understanding , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[21] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[22] Fei-Fei Li,et al. Novel Dataset for Fine-Grained Image Categorization : Stanford Dogs , 2012 .
[23] Fabio Viola,et al. The Kinetics Human Action Video Dataset , 2017, ArXiv.
[24] Barbara Caputo,et al. Recognizing human actions: a local SVM approach , 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..
[25] S. Gong,et al. Recognising action as clouds of space-time interest points , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.