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LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior
  Learning
v1v2 (latest)

LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning

29 June 2016
E. Cheung
T. K. Wong
Aniket Bera
Xiaogang Wang
Tianyi Zhou
    VGenDiffM
ArXiv (abs)PDFHTML

Papers citing "LCrowdV: Generating Labeled Videos for Simulation-based Crowd Behavior Learning"

13 / 13 papers shown
Title
A survey of synthetic data augmentation methods in computer vision
A survey of synthetic data augmentation methods in computer vision
A. Mumuni
F. Mumuni
N. K. Gerrar
122
26
0
15 Mar 2024
A Unified Simulation Framework for Visual and Behavioral Fidelity in
  Crowd Analysis
A Unified Simulation Framework for Visual and Behavioral Fidelity in Crowd Analysis
N. Bisagno
Nicola Garau
Antonio Luigi Stefani
Nicola Conci
49
0
0
05 Dec 2023
A dynamic state-based model of crowds
A dynamic state-based model of crowds
Martyn Amos
Steve Gwynne
Anne Templeton
32
2
0
03 Sep 2023
DroNeRF: Real-time Multi-agent Drone Pose Optimization for Computing
  Neural Radiance Fields
DroNeRF: Real-time Multi-agent Drone Pose Optimization for Computing Neural Radiance Fields
Dipam Patel
Phu-Cuong Pham
Aniket Bera
59
5
0
08 Mar 2023
UAV-CROWD: Violent and non-violent crowd activity simulator from the
  perspective of UAV
UAV-CROWD: Violent and non-violent crowd activity simulator from the perspective of UAV
Mahieyin Rahmun
Tonmoay Deb
Shahriar Ali Bijoy
M. Raha
60
0
0
13 Aug 2022
Cross-View Cross-Scene Multi-View Crowd Counting
Cross-View Cross-Scene Multi-View Crowd Counting
Qi Zhang
Wei Lin
Antoni B. Chan
89
63
0
03 May 2022
Attention-based Adversarial Appearance Learning of Augmented Pedestrians
Attention-based Adversarial Appearance Learning of Augmented Pedestrians
Kevin Strauss
Artem Savkin
Federico Tombari
GAN
54
2
0
06 Jul 2021
Simulation-supervised deep learning for analysing organelles states and
  behaviour in living cells
Simulation-supervised deep learning for analysing organelles states and behaviour in living cells
A. Sekh
I. Opstad
Rohit Agarwal
Å. Birgisdottir
T. Myrmel
B. Ahluwalia
Krishna Agarwal
D. Prasad
59
3
0
26 Aug 2020
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
173
358
0
25 Sep 2019
Automatic Dataset Augmentation Using Virtual Human Simulation
Automatic Dataset Augmentation Using Virtual Human Simulation
M. C. Ghilardi
L. Dihl
E. Testa
Pedro Braga
João P. Pianta
I. Manssour
S. Musse
3DH
11
1
0
01 May 2019
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and
  Beyond
Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond
Xi Ouyang
Yu Cheng
Yi Ding
Chun-Liang Li
Pan Zhou
GAN
105
73
0
05 Apr 2018
Identifying Driver Behaviors using Trajectory Features for Vehicle
  Navigation
Identifying Driver Behaviors using Trajectory Features for Vehicle Navigation
E. Cheung
Aniket Bera
Emily Kubin
Kurt Gray
Tianyi Zhou
76
42
0
02 Mar 2018
MixedPeds: Pedestrian Detection in Unannotated Videos using
  Synthetically Generated Human-agents for Training
MixedPeds: Pedestrian Detection in Unannotated Videos using Synthetically Generated Human-agents for Training
E. Cheung
T. K. Wong
Aniket Bera
Tianyi Zhou
86
3
0
28 Jul 2017
1