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  4. Cited By
FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in
  City Cameras

FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras

29 July 2017
Shanghang Zhang
Guanhang Wu
João Paulo Costeira
José M. F. Moura
    AI4TS
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Papers citing "FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras"

16 / 66 papers shown
Title
Crowd Counting with Decomposed Uncertainty
Crowd Counting with Decomposed Uncertainty
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
UQCV
34
108
0
15 Mar 2019
Crowd Counting Using Scale-Aware Attention Networks
Crowd Counting Using Scale-Aware Attention Networks
M. Hossain
M. Hosseinzadeh
Omit Chanda
Yang Wang
19
132
0
05 Mar 2019
ADCrowdNet: An Attention-injective Deformable Convolutional Network for
  Crowd Understanding
ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
Ning Liu
Yongchao Long
C. Zou
Qun Niu
Li Pan
Hefeng Wu
27
282
0
29 Nov 2018
Fast and accurate object detection in high resolution 4K and 8K video
  using GPUs
Fast and accurate object detection in high resolution 4K and 8K video using GPUs
Vít Ruzicka
F. Franchetti
ObjD
24
57
0
24 Oct 2018
Attentive Crowd Flow Machines
Attentive Crowd Flow Machines
Lingbo Liu
Ruimao Zhang
Jiefeng Peng
Guanbin Li
Bowen Du
Liang Lin
27
60
0
01 Sep 2018
Where are the Blobs: Counting by Localization with Point Supervision
Where are the Blobs: Counting by Localization with Point Supervision
I. Laradji
Negar Rostamzadeh
Pedro H. O. Pinheiro
David Vazquez
Mark Schmidt
29
195
0
25 Jul 2018
Inductive Visual Localisation: Factorised Training for Superior
  Generalisation
Inductive Visual Localisation: Factorised Training for Superior Generalisation
Ankush Gupta
Andrea Vedaldi
Andrew Zisserman
19
2
0
21 Jul 2018
Crowd Counting using Deep Recurrent Spatial-Aware Network
Crowd Counting using Deep Recurrent Spatial-Aware Network
Lingbo Liu
Hongjun Wang
Guanbin Li
Wanli Ouyang
Liang Lin
HAI
27
190
0
02 Jul 2018
Crowd Counting with Density Adaption Networks
Crowd Counting with Density Adaption Networks
Li Wang
Weiyuan Shao
Yao Lu
Hao Ye
Jian Pu
Yingbin Zheng
8
10
0
26 Jun 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the
  Highly Congested Scenes
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Yuhong Li
Xiaofan Zhang
Deming Chen
86
1,324
0
27 Feb 2018
ReHAR: Robust and Efficient Human Activity Recognition
ReHAR: Robust and Efficient Human Activity Recognition
Xin Li
Mooi Choo Choo Chuah
HAI
25
32
0
27 Feb 2018
People, Penguins and Petri Dishes: Adapting Object Counting Models To
  New Visual Domains And Object Types Without Forgetting
People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting
Mark A Marsden
Kevin McGuinness
Suzanne Little
Ciara E. Keogh
Noel E. O'Connor
29
85
0
15 Nov 2017
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
Generating High-Quality Crowd Density Maps using Contextual Pyramid CNNs
Vishwanath A. Sindagi
Vishal M. Patel
36
621
0
02 Aug 2017
Spatiotemporal Modeling for Crowd Counting in Videos
Spatiotemporal Modeling for Crowd Counting in Videos
Feng Xiong
Xingjian Shi
Dit-Yan Yeung
25
184
0
25 Jul 2017
Drone-based Object Counting by Spatially Regularized Regional Proposal
  Network
Drone-based Object Counting by Spatially Regularized Regional Proposal Network
Meng-Ru Hsieh
Yen-Liang Lin
Winston H. Hsu
30
412
0
19 Jul 2017
Discriminative Optimization: Theory and Applications to Computer Vision
  Problems
Discriminative Optimization: Theory and Applications to Computer Vision Problems
J. Vongkulbhisal
Fernando de la Torre
João Paulo Costeira
17
20
0
13 Jul 2017
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