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ORCIDAndrés Romero
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2020 – today
- 2022
[j2]Andrés Romero, Juan León, Pablo Arbeláez
:
Multi-view dynamic facial action unit detection. Image Vis. Comput. 122: 103723 (2022)- [c21]Andrés Romero, Luc Van Gool, Radu Timofte:
Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration. CVPR Workshops 2022: 797-806 - [c20]Andrés Romero, Angela Castillo, Jose Abril-Nova, Radu Timofte, Ritwik Das, Sanchit Hira, Zhihong Pan, Min Zhang, Baopu Li, Dongliang He, Tianwei Lin, Fu Li, Chengyue Wu, Xianming Liu, Xinying Wang, Yi Yu, Jie Yang, Rengang Li, Yaqian Zhao, Zhenhua Guo, Baoyu Fan, Xiaochuan Li, Runze Zhang, Zeyu Lu, Junqin Huang, Gang Wu, Junjun Jiang, Jiayin Cai, Changlin Li, Xin Tao, Yu-Wing Tai, Xiaoqiang Zhou, Huaibo Huang:
NTIRE 2022 Image Inpainting Challenge: Report. CVPR Workshops 2022: 1149-1181 - [c19]Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CVPR 2022: 11451-11461 - [i12]Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool:
RePaint: Inpainting using Denoising Diffusion Probabilistic Models. CoRR abs/2201.09865 (2022) - 2021
- [c18]Stefano d'Apolito, Danda Pani Paudel, Zhiwu Huang, Andrés Romero, Luc Van Gool:
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions. CVPR 2021: 568-577 - [c17]Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Shadow Removal With Paired and Unpaired Learning. CVPR Workshops 2021: 826-835 - [c16]Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte:
Real-Time Video Super-Resolution on Smartphones With Deep Learning, Mobile AI 2021 Challenge: Report. CVPR Workshops 2021: 2535-2544 - [c15]Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. ICCVW 2021: 1855-1865 - [c14]Andrés Romero, Luc Van Gool, Radu Timofte:
SMILE: Semantically-guided Multi-attribute Image and Layout Editing. ICCVW 2021: 1924-1933 - [c13]Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte:
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. WACV 2021: 1029-1039 - [c12]Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte:
Zero-Pair Image to Image Translation using Domain Conditional Normalization. WACV 2021: 3511-3518 - [i11]Andrey Ignatov, Andrés Romero, Heewon Kim, Radu Timofte, Chiu Man Ho, Zibo Meng, Kyoung Mu Lee, Yuxiang Chen, Yutong Wang, Zeyu Long, Chenhao Wang, Yifei Chen, Boshen Xu, Shuhang Gu, Lixin Duan, Wen Li, Bofei Wang, Diankai Zhang, Chengjian Zheng, Shaoli Liu, Si Gao, Xiaofeng Zhang, Kaidi Lu, Tianyu Xu, Zheng Hui, Xinbo Gao, Xiumei Wang, Jiaming Guo, Xueyi Zhou, Hao Jia, Youliang Yan:
Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report. CoRR abs/2105.08826 (2021) - [i10]Angela Castillo, María Escobar, Juan C. Pérez, Andrés Romero, Radu Timofte, Luc Van Gool, Pablo Arbeláez:
Generalized Real-World Super-Resolution through Adversarial Robustness. CoRR abs/2108.11505 (2021) - 2020
- [c11]Marcel C. Bühler, Andrés Romero, Radu Timofte:
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution. ACCV (4) 2020: 624-642 - [c10]Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte:
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects. ECCV (22) 2020: 394-411 - [c9]Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte, Zheng Hui, Xiumei Wang, Xinbo Gao, Chajin Shin, Taeoh Kim, Hanbin Son, Sangyoun Lee, Chao Li, Fu Li, Dongliang He, Shilei Wen, Errui Ding, Mengmeng Bai, Shuchen Li, Yu Zeng, Zhe Lin, Jimei Yang, Jianming Zhang, Eli Shechtman, Huchuan Lu, Weijian Zeng, Haopeng Ni, Yiyang Cai, Chenghua Li, Dejia Xu, Haoning Wu, Yu Han, S. M. Nadim Uddin, Hae Woong Jang, Soikat Hasan Ahmed, Jungmin Yoon, Yong Ju Jung, Chu-Tak Li, Zhi-Song Liu, Li-Wen Wang, Wan-Chi Siu, Daniel Pak-Kong Lun, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Pratik Narang, Murari Mandal, Pranjal Singh Chauhan:
AIM 2020 Challenge on Image Extreme Inpainting. ECCV Workshops (3) 2020: 716-741 - [c8]María Escobar, Angela Castillo, Andrés Romero, Pablo Arbeláez:
UltraGAN: Ultrasound Enhancement Through Adversarial Generation. SASHIMI@MICCAI 2020: 120-130 - [i9]Marcel Christoph Bühler, Andrés Romero, Radu Timofte:
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution. CoRR abs/2004.04433 (2020) - [i8]Evangelos Ntavelis, Andrés Romero, Iason Kastanis, Luc Van Gool, Radu Timofte:
SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects. CoRR abs/2004.04977 (2020) - [i7]Kangning Liu, Shuhang Gu, Andrés Romero, Radu Timofte:
Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning. CoRR abs/2004.06502 (2020) - [i6]Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte:
AIM 2020 Challenge on Image Extreme Inpainting. CoRR abs/2010.01110 (2020) - [i5]Andrés Romero, Luc Van Gool, Radu Timofte:
SMILE: Semantically-guided Multi-attribute Image and Layout Editing. CoRR abs/2010.02315 (2020) - [i4]Florin-Alexandru Vasluianu, Andrés Romero, Luc Van Gool, Radu Timofte:
Self-Supervised Shadow Removal. CoRR abs/2010.11619 (2020) - [i3]Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte:
Zero-Pair Image to Image Translation using Domain Conditional Normalization. CoRR abs/2011.05680 (2020)
2010 – 2019
- 2019
- [c7]Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte:
SMIT: Stochastic Multi-Label Image-to-Image Translation. ICCV Workshops 2019: 3285-3294 - 2018
- [i2]Andrés Romero, Pablo Arbeláez, Luc Van Gool, Radu Timofte:
SMIT: Stochastic Multi-Label Image-to-Image Translation. CoRR abs/1812.03704 (2018) - 2017
- [i1]Andrés Romero, Juan León, Pablo Arbeláez:
Multi-View Dynamic Facial Action Unit Detection. CoRR abs/1704.07863 (2017)
2000 – 2009
- 2009
- [c6]Hugo Arboleda, Andrés Romero, Rubby Casallas, Jean-Claude Royer:
Product Derivation in a Model-Driven Software Product Line using Decision Models. CIbSE 2009: 59-72 - [c5]Dipankar Dasgupta, Germán Jairo Hernández, Andrés Romero, Deon Garrett, Aishwarya Kaushal, James Simien:
On the use of informed initialization and extreme solutions sub-population in multi-objective evolutionary algorithms. MCDM 2009: 58-65 - 2008
- [c4]Andrés Romero, Fernando Niño, Gerardo Quintana:
An artificial immune system model for knowledge extraction and representation. IEEE Congress on Evolutionary Computation 2008: 3413-3420 - 2007
- [j1]Andrés Romero, Fernando Niño:
Sistema Inmune Artificial Basado en Teoría de la Información para la Extracción de Palabras Clave de Documentos de Texto. Rev. Avances en Sistemas Informática 4(2): 25-32 (2007) - [c3]Andrés Romero, Fernando Niño:
Keyword extraction using an artificial immune system. GECCO 2007: 181 - 2005
- [c2]Andrés Romero, Mario Linares, Fabio González:
Diseño de Circuitos Analógicos con Programación Genética. CIIC 2005: 122-129 - [c1]Luis Carlos Barrera, Luis Fernando Niño, Andrés Romero:
Sistema Inteligente de Respuesta a Correos Electrónicos. CIIC 2005: 130-137
Coauthor Index
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last updated on 2024-08-02 20:17 CEST by the dblp team
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