Cross-View Exocentric to Egocentric Video Synthesis-Reference-Cited by-同舟云学术

Cross-View Exocentric to Egocentric Video Synthesis

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Liu Gaowen¹,Tang Hao²,Latapie Hugo M.¹,Corso Jason J.³,Yan Yan⁴

Affiliation:

1. Cisco Systems, San Jose, CA, USA

2. ETH, Zurich, Switzerland

3. Stevens Institute for Artificial Intelligence, Hoboken, NJ, USA

4. Illinois Institute of Technology, Chicago, IL, USA

Funder

National Institute of Standards and Technology

Cisco Systems

NSF (National Science Foundation)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3474085.3475596

Reference53 articles.

1. [n.d.]. https://gopro.com/en/us/. [n.d.]. https://gopro.com/en/us/.

2. Omid Aghazadeh Josephine Sullivan and Stefan Carlsson. 2011. Novelty detection from an ego-centric perspective. In CVPR. Omid Aghazadeh Josephine Sullivan and Stefan Carlsson. 2011. Novelty detection from an ego-centric perspective. In CVPR.

3. Shervin Ardeshir and Ali Borji. 2016. Ego2top: Matching viewers in egocentric and top-view videos. In ECCV. Shervin Ardeshir and Ali Borji. 2016. Ego2top: Matching viewers in egocentric and top-view videos. In ECCV.

4. Andrew Brock Jeff Donahue and Karen Simonyan. 2019. Large scale GAN training for high fidelity natural image synthesis. In ICLR. Andrew Brock Jeff Donahue and Karen Simonyan. 2019. Large scale GAN training for high fidelity natural image synthesis. In ICLR.

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