Deep tracking in the wild: End-to-end tracking using recurrent neural networks
暂无分享,去创建一个
Dushyant Rao | Ingmar Posner | Dominic Zeng Wang | Peter Ondruska | Julie Dequaire | I. Posner | Peter Ondruska | Dushyant Rao | J. Dequaire | Dominic Zeng Wang
[1] Sebastian Thrun,et al. Explanation-Based Neural Network Learning for Robot Control , 1992, NIPS.
[2] Stefan C. Kremer,et al. Recurrent Neural Networks , 2013, Handbook on Neural Information Processing.
[3] Wolfram Burgard,et al. Using Boosted Features for the Detection of People in 2D Range Data , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.
[4] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[5] Viorica Patraucean,et al. Spatio-temporal video autoencoder with differentiable memory , 2015, ArXiv.
[6] Shao-Wen Yang,et al. Simultaneous egomotion estimation, segmentation, and moving object detection , 2011, J. Field Robotics.
[7] Ingmar Posner,et al. Voting for Voting in Online Point Cloud Object Detection , 2015, Robotics: Science and Systems.
[8] Dong Yu,et al. Context-Dependent Pre-Trained Deep Neural Networks for Large-Vocabulary Speech Recognition , 2012, IEEE Transactions on Audio, Speech, and Language Processing.
[9] Rich Caruana,et al. Learning Many Related Tasks at the Same Time with Backpropagation , 1994, NIPS.
[10] Paul Newman,et al. Model-free detection and tracking of dynamic objects with 2D lidar , 2015, Int. J. Robotics Res..
[11] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[12] Dushyant Rao,et al. Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks , 2016, ArXiv.
[13] Andrew Zisserman,et al. Spatial Transformer Networks , 2015, NIPS.
[14] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[15] Kyungjae Lee,et al. Robust modeling and prediction in dynamic environments using recurrent flow networks , 2016, 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
[16] Trung-Dung Vu,et al. Online Localization and Mapping with Moving Object Tracking in Dynamic Outdoor Environments , 2007, 2007 IEEE Intelligent Vehicles Symposium.
[17] Ingmar Posner,et al. End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks , 2016, ArXiv.
[18] Ingmar Posner,et al. Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks , 2016, AAAI.
[19] Razvan Pascanu,et al. On the difficulty of training recurrent neural networks , 2012, ICML.
[20] Liang Zhao,et al. Qualitative and quantitative car tracking from a range image sequence , 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).
[21] Dushyant Rao,et al. Vote3Deep: Fast object detection in 3D point clouds using efficient convolutional neural networks , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[22] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[23] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[24] Marc'Aurelio Ranzato,et al. Building high-level features using large scale unsupervised learning , 2011, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[25] Yoshua Bengio,et al. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling , 2014, ArXiv.
[26] Vladlen Koltun,et al. Multi-Scale Context Aggregation by Dilated Convolutions , 2015, ICLR.
[27] Tao Wang,et al. End-to-end text recognition with convolutional neural networks , 2012, Proceedings of the 21st International Conference on Pattern Recognition (ICPR2012).
[28] Dieter Fox,et al. SE3-nets: Learning rigid body motion using deep neural networks , 2016, 2017 IEEE International Conference on Robotics and Automation (ICRA).
[29] Gabriel Kreiman,et al. Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning , 2016, ICLR.
[30] Sebastian Thrun,et al. Model based vehicle detection and tracking for autonomous urban driving , 2009, Auton. Robots.