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Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and
  Beyond

Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond

5 April 2018
Xi Ouyang
Yu Cheng
Yi Ding
Chun-Liang Li
Pan Zhou
    GAN
ArXivPDFHTML

Papers citing "Pedestrian-Synthesis-GAN: Generating Pedestrian Data in Real Scene and Beyond"

17 / 17 papers shown
Title
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to
  Improve Segmentation Performance
ARHNet: Adaptive Region Harmonization for Lesion-aware Augmentation to Improve Segmentation Performance
Jiayu Huo
Yang Liu
Xiaoyun Ouyang
Alejandro Granados
Sebastien Ourselin
Rachel Sparks
42
3
0
02 Jul 2023
Human Image Generation: A Comprehensive Survey
Human Image Generation: A Comprehensive Survey
Zhen Jia
Zhang Zhang
Liangsheng Wang
Tieniu Tan
EGVM
3DH
VGen
46
5
0
17 Dec 2022
Application of image-to-image translation in improving pedestrian
  detection
Application of image-to-image translation in improving pedestrian detection
Devarsh Patel
Sarthak Patel
Megha Patel
VLM
22
7
0
08 Sep 2022
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
Region-guided CycleGANs for Stain Transfer in Whole Slide Images
Joseph Boyd
I. Villa
M. Mathieu
Eric Deutsch
Nikos Paragios
Maria Vakalopoulou
Stergios Christodoulidis
MedIm
24
13
0
26 Aug 2022
Deep Person Generation: A Survey from the Perspective of Face, Pose and
  Cloth Synthesis
Deep Person Generation: A Survey from the Perspective of Face, Pose and Cloth Synthesis
Tong Sha
Wei Zhang
T. Shen
Zhoujun Li
Tao Mei
40
38
0
05 Sep 2021
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can
  Scale Up
TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up
Yi Ding
Shiyu Chang
Zhangyang Wang
ViT
29
384
0
14 Feb 2021
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing
  Objects
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
Evangelos Ntavelis
Andrés Romero
I. Kastanis
Luc Van Gool
Radu Timofte
VLM
26
75
0
10 Apr 2020
A Shape Transformation-based Dataset Augmentation Framework for
  Pedestrian Detection
A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection
Zhe Chen
Wanli Ouyang
Tongliang Liu
Dacheng Tao
ViT
24
22
0
15 Dec 2019
Generating 3D People in Scenes without People
Generating 3D People in Scenes without People
Yan Zhang
Mohamed Hassan
Heiko Neumann
Michael J. Black
Siyu Tang
3DH
25
149
0
05 Dec 2019
Multimodal Image Outpainting With Regularized Normalized Diversification
Multimodal Image Outpainting With Regularized Normalized Diversification
Lingzhi Zhang
Jiancong Wang
Jianbo Shi
DiffM
11
15
0
25 Oct 2019
Generative Modeling for Small-Data Object Detection
Generative Modeling for Small-Data Object Detection
Lanlan Liu
Michael Muelly
Jia Deng
Tomas Pfister
Li Li
ObjD
MedIm
30
63
0
16 Oct 2019
Synthesizing Diverse Lung Nodules Wherever Massively: 3D
  Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Synthesizing Diverse Lung Nodules Wherever Massively: 3D Multi-Conditional GAN-based CT Image Augmentation for Object Detection
Changhee Han
Yoshiro Kitamura
Akira Kudo
Akimichi Ichinose
L. Rundo
Yujiro Furukawa
Kazuki Umemoto
Yuanzhong Li
Hideki Nakayama
MedIm
24
116
0
12 Jun 2019
Learning More with Less: GAN-based Medical Image Augmentation
Learning More with Less: GAN-based Medical Image Augmentation
Changhee Han
K. Murao
Shiníchi Satoh
Hideki Nakayama
MedIm
GAN
27
28
0
29 Mar 2019
Inserting Videos into Videos
Inserting Videos into Videos
Donghoon Lee
Tomas Pfister
Ming-Hsuan Yang
GAN
34
20
0
15 Mar 2019
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
Xueting Li
Sifei Liu
Kihwan Kim
Xiaolong Wang
Ming-Hsuan Yang
Jan Kautz
3DV
30
111
0
13 Mar 2019
Bayesian Cycle-Consistent Generative Adversarial Networks via
  Marginalizing Latent Sampling
Bayesian Cycle-Consistent Generative Adversarial Networks via Marginalizing Latent Sampling
Haoran You
Yu Cheng
Tianheng Cheng
Chunliang Li
Pan Zhou
GAN
29
3
0
19 Nov 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
29
123
0
10 Sep 2018
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