Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

2 February 2016

Papers citing "Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks"

5 / 5 papers shown

Title
Audio-Visual Speaker Tracking: Progress, Challenges, and Future Directions Jinzheng Zhao Yong-mei Xu Xinyuan Qian Davide Berghi Peipei Wu Meng Cui Jianyuan Sun Philip J. B. Jackson Wenwu Wang BDL 81 7 0 23 Oct 2023
GIAOTracker: A comprehensive framework for MCMOT with global information and optimizing strategies in VisDrone 2021 Yunhao Du Jun-Jun Wan Yanyun Zhao Binyu Zhang Zhihang Tong Junhao Dong 59 103 0 24 Feb 2022
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 73 78 0 21 Dec 2016
End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks Peter Ondruska J. Dequaire Dominic Zeng Wang Ingmar Posner 63 62 0 18 Apr 2016
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting Xingjian Shi Zhourong Chen Hao Wang Dit-Yan Yeung W. Wong W. Woo 491 7,952 0 13 Jun 2015