A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos
暂无分享,去创建一个
Jun-Cheng Chen | Rama Chellappa | Rajeev Ranjan | Carlos Castillo | Joshua Gleason | Steven Schwarcz | R. Chellappa | C. Castillo | Rajeev Ranjan | Jun-Cheng Chen | S. Schwarcz | Joshua Gleason
[1] Fei-Fei Li,et al. Large-Scale Video Classification with Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Tao Zhang,et al. A Self-Adaptive Proposal Model for Temporal Action Detection based on Reinforcement Learning , 2017, ArXiv.
[3] Horst Bischof,et al. A Duality Based Approach for Realtime TV-L1 Optical Flow , 2007, DAGM-Symposium.
[4] Jitendra Malik,et al. Finding action tubes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Tong Lu,et al. Temporal Action Localization by Structured Maximal Sums , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Bernard Ghanem,et al. SST: Single-Stream Temporal Action Proposals , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[7] Larry S. Davis,et al. Temporal Context Network for Activity Localization in Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[8] Andrew Zisserman,et al. Convolutional Two-Stream Network Fusion for Video Action Recognition , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Andrew Zisserman,et al. Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Cees Snoek,et al. Spot On: Action Localization from Pointly-Supervised Proposals , 2016, ECCV.
[11] Cordelia Schmid,et al. AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[12] Shijian Lu,et al. TORNADO: A Spatio-Temporal Convolutional Regression Network for Video Action Proposal , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[13] Kate Saenko,et al. R-C3D: Region Convolutional 3D Network for Temporal Activity Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[14] Cordelia Schmid,et al. Action Tubelet Detector for Spatio-Temporal Action Localization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[15] R. Nevatia,et al. TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[16] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[17] Andrew Zisserman,et al. Two-Stream Convolutional Networks for Action Recognition in Videos , 2014, NIPS.
[18] Mubarak Shah,et al. Real-Time Temporal Action Localization in Untrimmed Videos by Sub-Action Discovery , 2017, BMVC.
[19] Shih-Fu Chang,et al. Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[20] Larry S. Davis,et al. AVSS 2011 demo session: A large-scale benchmark dataset for event recognition in surveillance video , 2011, AVSS.
[21] Bingbing Ni,et al. Temporal Action Localization with Pyramid of Score Distribution Features , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Daniel Müllner,et al. Modern hierarchical, agglomerative clustering algorithms , 2011, ArXiv.
[23] D. Burns,et al. End To End , 2015 .
[24] Bernard Ghanem,et al. End-to-End, Single-Stream Temporal Action Detection in Untrimmed Videos , 2017, BMVC.
[25] Ramakant Nevatia,et al. CTAP: Complementary Temporal Action Proposal Generation , 2018, ECCV.
[26] Tao Zhang,et al. SAP: Self-Adaptive Proposal Model for Temporal Action Detection Based on Reinforcement Learning , 2018, AAAI.
[27] Limin Wang,et al. Temporal Action Detection with Structured Segment Networks , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[28] G. G. Stokes. "J." , 1890, The New Yale Book of Quotations.
[29] Juergen Gall,et al. Temporal Action Detection Using a Statistical Language Model , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Shih-Fu Chang,et al. CDC: Convolutional-De-Convolutional Networks for Precise Temporal Action Localization in Untrimmed Videos , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[31] Bernard Ghanem,et al. Action Search: Spotting Actions in Videos and Its Application to Temporal Action Localization , 2017, ECCV.
[32] Nicu Sebe,et al. Unsupervised Tube Extraction Using Transductive Learning and Dense Trajectories , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[33] Lei Zhang,et al. AutoLoc: Weakly-supervised Temporal Action Localization , 2018, ECCV.
[34] Rui Hou,et al. Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[35] Kaiming He,et al. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Cordelia Schmid,et al. Spatio-temporal Object Detection Proposals , 2014, ECCV.
[37] Xiaoou Tang,et al. Action Recognition and Detection by Combining Motion and Appearance Features , 2014 .
[38] Suman Saha,et al. AMTnet: Action-Micro-Tube Regression by End-to-end Trainable Deep Architecture , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[39] Yong Dou,et al. Exploring Temporal Preservation Networks for Precise Temporal Action Localization , 2017, AAAI.
[40] Bernard Ghanem,et al. DAPs: Deep Action Proposals for Action Understanding , 2016, ECCV.
[41] Eric Jones,et al. SciPy: Open Source Scientific Tools for Python , 2001 .
[42] Ming Yang,et al. BSN: Boundary Sensitive Network for Temporal Action Proposal Generation , 2018, ECCV.
[43] Lorenzo Torresani,et al. Learning Spatiotemporal Features with 3D Convolutional Networks , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[44] Ramakant Nevatia,et al. Cascaded Boundary Regression for Temporal Action Detection , 2017, BMVC.
[45] Bernard Ghanem,et al. Fast Temporal Activity Proposals for Efficient Detection of Human Actions in Untrimmed Videos , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Matthew J. Hausknecht,et al. Beyond short snippets: Deep networks for video classification , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Rahul Sukthankar,et al. Rethinking the Faster R-CNN Architecture for Temporal Action Localization , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[48] Bohyung Han,et al. Weakly Supervised Action Localization by Sparse Temporal Pooling Network , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[49] F. Bremond,et al. HUMAN ACTION RECOGNITION IN VIDEOS : A SURVEY , 2016 .
[50] Henryk Sienkiewicz,et al. Quo Vadis? , 1967, American Association of Industrial Nurses journal.
[51] Li Fei-Fei,et al. End-to-End Learning of Action Detection from Frame Glimpses in Videos , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[52] Тараса Шевченка,et al. Quo vadis? , 2013, Clinical chemistry.