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1906.01797
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StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology
5 June 2019
Yanliang Zhu
Deheng Qian
Dongchun Ren
Huaxia Xia
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Papers citing
"StarNet: Pedestrian Trajectory Prediction using Deep Neural Network in Star Topology"
11 / 11 papers shown
Title
PORCA: Modeling and Planning for Autonomous Driving among Many Pedestrians
Yuanfu Luo
Panpan Cai
Aniket Bera
David Hsu
Wee Sun Lee
Tianyi Zhou
56
164
0
30 May 2018
Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks
Agrim Gupta
Justin Johnson
Li Fei-Fei
Silvio Savarese
Alexandre Alahi
GAN
158
1,904
0
29 Mar 2018
Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction
Edward Schmerling
Karen Leung
Wolf Vollprecht
Marco Pavone
77
173
0
25 Oct 2017
Social Attention: Modeling Attention in Human Crowds
Anirudh Vemula
Katharina Muelling
Jean Oh
HAI
60
636
0
12 Oct 2017
Human Trajectory Prediction using Spatially aware Deep Attention Models
Daksh Varshneya
G. Srinivasaraghavan
HAI
91
91
0
26 May 2017
A Neural Representation of Sketch Drawings
David R Ha
Douglas Eck
82
867
0
11 Apr 2017
Soft + Hardwired Attention: An LSTM Framework for Human Trajectory Prediction and Abnormal Event Detection
Tharindu Fernando
Simon Denman
Sridha Sridharan
Clinton Fookes
HAI
60
333
0
18 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas Guibas
3DH
3DPC
3DV
PINN
430
14,259
0
02 Dec 2016
End-to-End Attention-based Large Vocabulary Speech Recognition
Dzmitry Bahdanau
J. Chorowski
Dmitriy Serdyuk
Philemon Brakel
Yoshua Bengio
74
1,150
0
18 Aug 2015
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
203
6,770
0
03 Sep 2014
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
791
23,311
0
03 Jun 2014
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