Learning motion representation for real-time spatio-temporal action localization
暂无分享,去创建一个
Linchao He | Dejun Zhang | Fei Han | Zhigang Tu | Shifu Zhang | Boxiong Yang | Zhigang Tu | Dejun Zhang | Shifu Zhang | Fei Han | Linchao He | Boxiong Yang
[1] Yunhong Wang,et al. Receptive Field Block Net for Accurate and Fast Object Detection , 2017, ECCV.
[2] Luc Van Gool,et al. The Pascal Visual Object Classes Challenge: A Retrospective , 2014, International Journal of Computer Vision.
[3] 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).
[4] Jan Kautz,et al. STEP: Spatio-Temporal Progressive Learning for Video Action Detection , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Thomas Brox,et al. FlowNet: Learning Optical Flow with Convolutional Networks , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[6] Abdulmotaleb El-Saddik,et al. Optical flow estimation using channel attention mechanism and dilated convolutional neural networks , 2019, Neurocomputing.
[7] Dejun Zhang,et al. Pointwise geometric and semantic learning network on 3D point clouds , 2019, Integr. Comput. Aided Eng..
[8] 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.
[9] Baoxin Li,et al. Multi-stream CNN: Learning representations based on human-related regions for action recognition , 2018, Pattern Recognit..
[10] Michael J. Black,et al. A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them , 2013, International Journal of Computer Vision.
[11] Jan Kautz,et al. Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[12] Juergen Gall,et al. Weakly supervised learning of actions from transcripts , 2016, Comput. Vis. Image Underst..
[13] Cordelia Schmid,et al. Multi-region Two-Stream R-CNN for Action Detection , 2016, ECCV.
[14] Gang Yu,et al. Fast action proposals for human action detection and search , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[15] Cordelia Schmid,et al. Learning to Track for Spatio-Temporal Action Localization , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[16] Cordelia Schmid,et al. Actor-Centric Relation Network , 2018, ECCV.
[17] Baoxin Li,et al. A survey of variational and CNN-based optical flow techniques , 2019, Signal Process. Image Commun..
[18] Hong Qiao,et al. Un-supervised and semi-supervised hand segmentation in egocentric images with noisy label learning , 2019, Neurocomputing.
[19] Wei Liu,et al. SSD: Single Shot MultiBox Detector , 2015, ECCV.
[20] Jiawei He,et al. Generic Tubelet Proposals for Action Localization , 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[21] Mengting Luo,et al. Reconstructed similarity for faster GANs-based word translation to mitigate hubness , 2019, Neurocomputing.
[22] Remco C. Veltkamp,et al. A combined post-filtering method to improve accuracy of variational optical flow estimation , 2014, Pattern Recognit..
[23] Jitendra Malik,et al. Finding action tubes , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Caroline Petitjean,et al. Improving pattern spotting in historical documents using feature pyramid networks , 2020, Pattern Recognit. Lett..
[25] Thomas Brox,et al. High Accuracy Optical Flow Estimation Based on a Theory for Warping , 2004, ECCV.
[26] Cordelia Schmid,et al. Long-Term Temporal Convolutions for Action Recognition , 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] 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.
[28] Hendry,et al. Automatic License Plate Recognition via sliding-window darknet-YOLO deep learning , 2019, Image Vis. Comput..
[29] Azeddine Beghdadi,et al. Spatio-temporal action localization and detection for human action recognition in big dataset , 2016, J. Vis. Commun. Image Represent..
[30] Cordelia Schmid,et al. Action Tubelet Detector for Spatio-Temporal Action Localization , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[31] Jürgen Schmidhuber,et al. Deep learning in neural networks: An overview , 2014, Neural Networks.
[32] Thomas Brox,et al. FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Navvab Afrashteh,et al. Optical-flow analysis toolbox for characterization of spatiotemporal dynamics in mesoscale optical imaging of brain activity , 2016, NeuroImage.
[34] Sergio Escalera,et al. RGB-D-based Human Motion Recognition with Deep Learning: A Survey , 2017, Comput. Vis. Image Underst..
[35] Dominique Legendre,et al. Image processing for the experimental investigation of dense dispersed flows: Application to bubbly flows , 2019, International Journal of Multiphase Flow.
[36] Suman Saha,et al. Online Real-Time Multiple Spatiotemporal Action Localisation and Prediction , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[37] Rui Hou,et al. Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[38] Huchuan Lu,et al. Hyperfusion-Net: Hyper-densely reflective feature fusion for salient object detection , 2019, Pattern Recognit..
[39] Mubarak Shah,et al. Automatic action annotation in weakly labeled videos , 2016, Comput. Vis. Image Underst..
[40] Nicola Conci,et al. How Deep Features Have Improved Event Recognition in Multimedia , 2019, ACM Trans. Multim. Comput. Commun. Appl..