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] . Image and Video Object Segmentation in Low Supervision Scenarios. . Computer Architectures. [Barcelona]: Universitat Politecnica de Catalunya; 2021.
. Mask-guided sample selection for Semi-Supervised Instance Segmentation. Multimedia Tools and Applications. 2020;. 
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(2.2 MB). Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR 2019 DeepVision Workshop. Long Beach, CA, USA: OpenCVF; 2019. (6.59 MB)
(6.59 MB). RVOS: End-to-End Recurrent Network for Video Object Segmentation. In CVPR. Long Beach, CA, USA: OpenCVF / IEEE; 2019. (5.76 MB)
(5.76 MB). Recurrent Neural Networks for Semantic Instance Segmentation. In CVPR 2018 DeepVision Workshop. 2018. (199.14 KB)
(199.14 KB). Recurrent Neural Networks for Semantic Instance Segmentation. In ECCV 2018 Women in Computer Vision (WiCV) Workshop. 2018. (2.55 MB)
(2.55 MB). Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017. (1 MB)
(1 MB). Detection-aided medical image segmentation using deep learning. . 2017. (7.07 MB)
(7.07 MB). Distributed training strategies for a computer vision deep learning algorithm on a distributed GPU cluster. In International Conference on Computational Science (ICCS). Zurich, Switzerland: Elsevier; 2017. (576.67 KB)
(576.67 KB). Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
. Efficient search of objects in images using deep reinforcement learning. NIPS Women in Machine Learning Workshop. Barcelona.; 2016.
. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, NIPS 2016. 2016. (877.51 KB)
(877.51 KB). Efficient Exploration of Region Hierarchies for Semantic Segmentation. . 2015. (11.62 MB)
(11.62 MB)