Deep Tracking on the Move: Learning to Track the World from a Moving
Vehicle using Recurrent Neural Networks

Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks

29 September 2016

Dushyant Rao

Dominic Zeng Wang

Papers citing "Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks"

10 / 10 papers shown

Title
Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Sahil Tomar Shamshe Alam Sandeep Kumar Amit Mathur 54 0 0 29 Apr 2025
A Survey of Deep Network Solutions for Learning Control in Robotics: From Reinforcement to Imitation L. Tai Jingwei Zhang Ming-Yuan Liu Joschka Boedecker Wolfram Burgard OffRL 45 78 0 21 Dec 2016
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning William Lotter Gabriel Kreiman David D. Cox SSL 69 931 0 25 May 2016
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks Peter Ondruska J. Dequaire Dominic Zeng Wang Ingmar Posner 49 62 0 18 Apr 2016
Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks Peter Ondruska Ingmar Posner 29 239 0 02 Feb 2016
Multi-Scale Context Aggregation by Dilated Convolutions Feng Yu V. Koltun SSeg 159 8,421 0 23 Nov 2015
Spatio-temporal video autoencoder with differentiable memory Viorica Patraucean Ankur Handa R. Cipolla 56 307 0 19 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 440 7,952 0 13 Jun 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 249 7,361 0 05 Jun 2015
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 563 23,235 0 03 Jun 2014