Search Publication
] . SLAM-based 3D outdoor reconstructions from LIDAR data. In IC3D. Brussels, Belgium: IEEE; 2018. 
(3.21 MB)
(3.21 MB). Speech-conditioned Face Generation with Deep Adversarial Networks. . 2018. (1.79 MB)
(1.79 MB). Temporal Saliency Adaptation in Egocentric Videos. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Computing. Munich, Germany: Extended abstract; 2018. (279.32 KB)
(279.32 KB). Temporally Coherent 3D Point Cloud Video Segmentation in Generic Scenes. IEEE Transactions on Image Processing. 2018;27(6):3087 - 3099. (24.37 MB)
(24.37 MB). Towards Speech to Sign Language Translation. In ECCV 2018 Workshop on Shortcomings in Vision and Language. 2018. (142.48 KB)
(142.48 KB). UPC Multimodal Speaker Diarization System for the 2018 Albayzin Challenge. In IberSpeech 2018. Barcelona; 2018. (379.14 KB)
(379.14 KB). Video Understanding through the Disentanglement of Appearance and Motion. . 2018. (1.06 MB)
(1.06 MB). What is going on in the world? A display platform for media understanding. In IEEE Multimedia Information Processing and Retrieval (MIPR) Conference. Miami, FL (USA): IEEE; 2018. (700.85 KB)
(700.85 KB). Who watches the watchers? Quality control of the human inspection in production lines using Visual Intensity of Attention. In SAAEI 2018. Barcelona; 2018. (593.55 KB)
(593.55 KB). 3D Convolutional Neural Networks for Brain Tumor Segmentation: a comparison of multi-resolution architectures. In Lecture Notes in Computer Vision. Springer; 2017. pp. 150-161.
. 3D hierarchical optimization for multi-view depth map coding. Multimedia Tools and Applications. 2017;. (4.23 MB)
(4.23 MB). 3D Medical Image Synthesis using Generative Adversarial Networks. In ACM Europe Celebration of Women in Computing, womENcourage 2017, Barcelona, Spain. 2017.
. 3D Point Cloud Segmentation Using a Fully Connected Conditional Random Field. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip/IEEE; 2017. (2.34 MB)
(2.34 MB). Active Deep Learning for Medical Imaging Segmentation. . 2017. (2.84 MB)
(2.84 MB). Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017. (187.43 KB)
(187.43 KB). Artificial intelligence suggests recipes based on food photos. Boston: MIT News; 2017.
. Augmented V-Net for infant brain segmentation. In MICCAI Grand Challenge on 6-month Infant Brain MRI Segmentation, MICCAI 2017. 2017.
. Augmented V-Net for White Matter Hyperintensities segmentation. In WMH Segmentation Challenge, Brain-lesion Workshop, MICCAI 2017 . 2017.
. Class Weighted Convolutional Features for Visual Instance Search. In 28th British Machine Vision Conference (BMVC). London, UK; 2017. (3.56 MB)
(3.56 MB). A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intelligent Service Robotics. 2017;10(4):297–312. (88.92 KB)
(88.92 KB). Collaborative voting of 3D features for robust gesture estimation. In International Conference on Acoustics, Speech and Signal Processing. New Orleans, USA; 2017. (605.86 KB)
(605.86 KB). Cost-Effective Active Learning for Melanoma Segmentation. In ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017. (521.82 KB)
(521.82 KB). 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)