Víctor Campos

Position e-mail
PhD Candidate victor.campos@bsc.es
Office Phone
C6-E201 +34 934054282

Biography

Víctor Campos holds a BsC and a MsC degrees on Electrical Engineering from Universitat Politècnica de Catalunya. He is currently pursuing his PhD on the intersection between Deep Learning and High Performance Computing at the Barcelona Supercomputing Center, supported by Obra Social "la Caixa" through La Caixa-Severo Ochoa International Doctoral Fellowship program. During the Summer of 2016 he interned at the Deep Learning Competence Center at DFKI (NVIDIA AI Lab), under the supervision of Dr. Damian Borth. In 2017 he was a visiting researcher at Columbia University, where he worked under the supervision of Prof. Shih-Fu Chang. His research interests focus on large scale machine learning.

Book Chapters and Books top

In Press
V. Campos, Giró-i-Nieto, X., Jou, B., Torres, J., and Chang, S. - F., Sentiment concept embedding for visual affect recognition, in Multimodal Behavior Analysis in theWild, 1st ed., Elsevier, In Press.

Conference Papers top

In Press
V. Campos, Giró-i-Nieto, X., and Torres, J., Importance Weighted Evolution Strategies, in NIPS 2018 Deep Reinforcement Learning Workshop , Montreal, Quebec, In Press. (362.25 KB)
2018
A. Salvador, Bellver, M., Baradad, M., Campos, V., Marqués, F., Torres, J., and Giró-i-Nieto, X., Recurrent Neural Networks for Semantic Instance Segmentation, in ECCV 2018 Women in Computer Vision (WiCV) Workshop, 2018. (2.55 MB)
V. Campos, Jou, B., Giró-i-Nieto, X., Torres, J., and Chang, S. - F., Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks, in International Conference on Learning Representations (ICLR), 2018.
D. Fojo, Campos, V., and Giró-i-Nieto, X., Comparing Fixed and Adaptive Computation Time for Recurrent Neural Network, in International Conference on Learning Representations (ICLR), Vancouver, Canada, 2018. (515.54 KB)
A. Salvador, Bellver, M., Baradad, M., Campos, V., Marqués, F., Torres, J., and Giró-i-Nieto, X., Recurrent Neural Networks for Semantic Instance Segmentation, in CVPR 2018 DeepVision Workshop, 2018. (199.14 KB)

Research Areas top

Language and Vision Internal Feb
2016
Jun
2018

Demos and Resources top

Sentiment maps generator Software Apr
2016

Teaching top

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