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End-to-End Tracking and Semantic Segmentation Using Recurrent Neural
  Networks

End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks

18 April 2016
Peter Ondruska
J. Dequaire
Dominic Zeng Wang
Ingmar Posner
ArXivPDFHTML

Papers citing "End-to-End Tracking and Semantic Segmentation Using Recurrent Neural Networks"

14 / 14 papers shown
Title
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person
  Detection in 2D Range Data
DR-SPAAM: A Spatial-Attention and Auto-regressive Model for Person Detection in 2D Range Data
Dan Jia
Alexander Hermans
Bastian Leibe
3DPC
36
37
0
29 Apr 2020
Graph Neural Based End-to-end Data Association Framework for Online
  Multiple-Object Tracking
Graph Neural Based End-to-end Data Association Framework for Online Multiple-Object Tracking
Xiaolong Jiang
Peizhao Li
Yanjing Li
Xiantong Zhen
VOT
37
32
0
11 Jul 2019
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids
Short-Term Prediction and Multi-Camera Fusion on Semantic Grids
Lukas Hoyer
Patrick Kesper
Anna Khoreva
Volker Fischer
MDE
21
12
0
21 Mar 2019
2D LiDAR Map Prediction via Estimating Motion Flow with GRU
2D LiDAR Map Prediction via Estimating Motion Flow with GRU
Yafei Song
Yonghong Tian
G. Wang
Mingyang Li
3DPC
30
11
0
19 Feb 2019
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving
  Context Understanding
Deep Grid Net (DGN): A Deep Learning System for Real-Time Driving Context Understanding
L. Marina
Bogdan Trasnea
Tiberiu T. Cocias
Andrei Vasilcoi
F. Moldoveanu
Sorin Grigorescu
AI4CE
31
15
0
16 Jan 2019
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks
Long-Term Occupancy Grid Prediction Using Recurrent Neural Networks
M. Schreiber
S. Hörmann
Klaus C. J. Dietmayer
24
63
0
11 Sep 2018
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for
  Autonomous Driving
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
Nemanja Djuric
Vladan Radosavljevic
Henggang Cui
Thi Nguyen
Fang-Chieh Chou
Tsung-Han Lin
Nitin Singh
J. Schneider
46
206
0
17 Aug 2018
Deep Person Detection in 2D Range Data
Deep Person Detection in 2D Range Data
Lucas Beyer
Alexander Hermans
Timm Linder
Kai O. Arras
Bastian Leibe
19
12
0
06 Apr 2018
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Exploring Spatial Context for 3D Semantic Segmentation of Point Clouds
Francis Engelmann
Theodora Kontogianni
Alexander Hermans
Bastian Leibe
3DPC
32
268
0
05 Feb 2018
Convolutional Gated Recurrent Networks for Video Segmentation
Convolutional Gated Recurrent Networks for Video Segmentation
Mennatullah Siam
Sepehr Valipour
Martin Jägersand
Nilanjan Ray
VOS
28
98
0
16 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for
  Robotics
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics
J. M. Wong
27
11
0
01 Nov 2016
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
J. Dequaire
Dushyant Rao
Peter Ondruska
Dominic Zeng Wang
Ingmar Posner
39
20
0
29 Sep 2016
Online Multi-Target Tracking Using Recurrent Neural Networks
Online Multi-Target Tracking Using Recurrent Neural Networks
Anton Milan
S. Hamid Rezatofighi
A. Dick
Ian Reid
Konrad Schindler
VOT
42
515
0
13 Apr 2016
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
239
7,921
0
13 Jun 2015
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