Visible-infrared Person Re-identification via Colorization-based Siamese Generative Adversarial Network-Reference-Cited by-同舟云学术

Visible-infrared Person Re-identification via Colorization-based Siamese Generative Adversarial Network

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2020 International Conference on Multimedia Retrieval
language:
Short-container-title:

Author:

Zhong Xian¹,Lu Tianyou¹,Huang Wenxin²,Yuan Jingling¹,Liu Wenxuan¹,Lin Chia-Wen³

Affiliation:

1. Wuhan University of Technology, Wuhan, China

2. Wuhan University, Wuhan, China

3. National Tsing Hua University, Hsinchu, Taiwan Roc

Funder

Hubei Key Laboratory of Transportation Internet of Things

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3372278.3390696

Reference36 articles.

1. Pingyang Dai Rongrong Ji Haibin Wang Qiong Wu and Yuyu Huang. 2018. Cross-Modality Person Re-Identification with Generative Adversarial Training. In IJCAI. 677--683. Pingyang Dai Rongrong Ji Haibin Wang Qiong Wu and Yuyu Huang. 2018. Cross-Modality Person Re-Identification with Generative Adversarial Training. In IJCAI. 677--683.

2. Navneet Dalal and Bill Triggs. 2005. Histograms of oriented gradients for human detection. Navneet Dalal and Bill Triggs. 2005. Histograms of oriented gradients for human detection.

3. Look, Imagine and Match: Improving Textual-Visual Cross-Modal Retrieval with Generative Models

4. Dual-alignment Feature Embedding for Cross-modality Person Re-identification

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