VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal (2019)
- Authors:
- USP affiliated authors: WOLF, DENIS FERNANDO - ICMC ; MATIAS, LUCAS PERES NUNES - ICMC
- Unidade: ICMC
- DOI: 10.1109/IVS.2019.8814157
- Subjects: IMAGEM 3D; VISÃO COMPUTACIONAL; REDES NEURAIS; VEÍCULOS AUTÔNOMOS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2019
- Source:
- Título: Proceedings
- Conference titles: IEEE Intelligent Vehicles Symposium - IV
- Status:
- Nenhuma versão em acesso aberto identificada
-
ABNT
MATIAS, Lucas Peres Nunes et al. VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/IVS.2019.8814157. Acesso em: 14 abr. 2026. -
APA
Matias, L. P. N., Sons, M., Souza, J. R. de, Wolf, D. F., & Stiller, C. (2019). VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal. In Proceedings. Piscataway: IEEE. doi:10.1109/IVS.2019.8814157 -
NLM
Matias LPN, Sons M, Souza JR de, Wolf DF, Stiller C. VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal [Internet]. Proceedings. 2019 ;[citado 2026 abr. 14 ] Available from: https://doi.org/10.1109/IVS.2019.8814157 -
Vancouver
Matias LPN, Sons M, Souza JR de, Wolf DF, Stiller C. VeIGAN: vectorial inpainting generative adversarial network for depth maps Object removal [Internet]. Proceedings. 2019 ;[citado 2026 abr. 14 ] Available from: https://doi.org/10.1109/IVS.2019.8814157 - Environment reconstruction on disparity images using surface features and Generative Adversarial Networks
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