Amanda Duarte

Position e-mail
PhD Candidate
Office Phone
C6 E201 +34 934054282.


Amanda Duarte is a PhD candidate at Universitat Politècnica de Catalunya (UPC) under the supervision of Prof. Jordi Torres and Prof. Xavier Giró.

In 2015, she graduated in Systems Analysis at Instituto Federal Sul-rio-grandense Câmpus Pelotas (IFSul) in Brazil spending one year at Northern Virginia Community College (NVCC) in the United States as part of an exchange program. She obtained her Master's degree in Computer Engineering from Universidade Federal do Rio Grande (Furg) under the supervision of Prof. Silvia Botelho and Prof. Paulo Drews working with the Automation and Intelligent Robotics (NAUTEC) group.

During the summer of 2017, she was a visiting student at .


Over the course of her PhD, she interned at the Barcelona Supercomputing Center, Johns Hopkins University and Carnegie Mellon University in 2017, 2018 and 2019, respectively.

Her current research interests lie in the area of Computer Vision and Machine Learning applied to accessibility.


For more information, visit her personal webpage.



Conference Papers top

A. Duarte, Palaskar, S., Ghadiyaram, D., DeHaan, K., Metze, F., Torres, J., and Giró-i-Nieto, X., How2Sign: A Large-scale Multimodal Dataset for Continuous American Sign Language, in ECCV 2020 Workshop on Sign Language Recognition, Translation and Production (SLRTP), 2020. (744.94 KB)
L. Ventura, Duarte, A., and Giró-i-Nieto, X., Can Everybody Sign Now? Exploring Sign Language Video Generation from 2D Poses, in ECCV 2020 Workshop on Sign Language recognition, Production and Translation (SLRTP), 2020. (3.85 MB)
A. Duarte, Roldán, F., Tubau, M., Escur, J., Pascual-deLaPuente, S., Salvador, A., Mohedano, E., McGuinness, K., Torres, J., and Giró-i-Nieto, X., Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks, in ICASSP, Brighton, UK, 2019. (4.42 MB)
A. Duarte, Cross-modal Neural Sign Language Translation, in Proceedings of the 27th ACM International Conference on Multimedia - Doctoral Symposium, Nice, France, 2019. (392.69 KB)
D. Surís, Duarte, A., Salvador, A., Torres, J., and Giró-i-Nieto, X., Cross-modal Embeddings for Video and Audio Retrieval, in ECCV 2018 Women in Computer Vision Workshop, Munich, Germany, 2018. (1.07 MB)

Teaching top

Acronym Title Level College
DLCV Deep Learning for Computer Vision Master in Telecommunications Engineering (MET) ETSETB Telecom BCN