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Calderero F, Eugenio F, Marcello J, Marqués F. Multispectral Cooperative Partition Sequence Fusion for Joint Classification and Hierarchical Segmentation. Geoscience and Remote Sensing Letters, IEEE. 2012;9:1012-1016.
Calderero F, Marqués F. Image Analysis and Understanding Based on Information Theoretical Region Merging Approaches for Segmentation and Cooperative Fusion. In Handbook of Research on Computational Intelligence for Engineering, Science, and Business. IGI Global; 2012. pp. 75-121.
Calderero F, Marqués F. Region merging parameter dependency as information diversity to create sparse hierarchies of partitions. In 2010 IEEE International Conference on Image Processing. 2010. pp. 2237–2240.
Calderero F, Marqués F, Marcello J, Eugenio F. Hierarchical segmentation of vegetation areas in high spatial resolution images by fusion of multispectral information. In 2009 IEEE International Geoscience and Remote Sensing Symposium. 2009. pp. 232–235.
Calderero F, Marqués F. Region merging techniques using information theory statistical measures. IEEE transactions on image processing. 2010;19:1567–1586.
Calderero F, Marqués F. General region merging approaches based on information theory statistical measures. In IEEE International Conference on Image Processing. 2008. pp. 3016–3019.
Calm B, Cumplido-Mayoral I, Gispert JDomingo, Vilaplana V. Identifying brain ageing trajectories using variational autoencoders with regression model in neuroimaging data stratified by sex and validated against dementia-related risk factors. In 7th International Workshop on PRedictive Intelligence in MEdicine, MICCAI 2024. In Press.
Caminal I, Casas J, Royo S. SLAM-based 3D outdoor reconstructions from LIDAR data. In IC3D. Brussels, Belgium: IEEE; 2018.  (3.21 MB)
Campos V, Jou B, Giró-i-Nieto X. From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. Image and Vision Computing. 2017;.  (1.92 MB)
Campos V, Giró-i-Nieto X, Jou B, Torres J, Chang S-F. Sentiment concept embedding for visual affect recognition. In Multimodal Behavior Analysis in theWild. 1st ed. Elsevier; 2018.
Campos V. Learning to Skip State Updates in Recurrent Neural Networks. Jou B, Chang S-F, Giró-i-Nieto X. 2017.  (961.49 KB)
Campos V, Jou B, Giró-i-Nieto X, Torres J, Chang S-F. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In International Conference on Learning Representations (ICLR). 2018.
Campos V, Giró-i-Nieto X, Torres J. Importance Weighted Evolution Strategies. In NeurIPS 2018 Deep Reinforcement Learning Workshop . Montreal, Quebec; 2018.  (362.25 KB)
Campos V, Trott A, Xiong C, Socher R, Giró-i-Nieto X, Torres J. Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. In International Conference on Machine Learning (ICML) 2020. 2020.  (6.89 MB)
Campos V, Salvador A, Giró-i-Nieto X, Jou B. Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. In 1st International Workshop on Affect and Sentiment in Multimedia. Brisbane, Australia: ACM; 2015.  (506.22 KB)
Campos V. Deep Learning that Scales: Leveraging Compute and Data. Torres J, Giró-i-Nieto X. Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020.  (8.55 MB)
Campos V. Layer-wise CNN Surgery for Visual Sentiment Prediction. Salvador A, Jou B, Giró-i-Nieto X. 2015.  (1.51 MB)
Campos V, Jou B, Giró-i-Nieto X, Torres J, Chang S-F. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In NIPS Time Series Workshop 2017. Long Beach, CA, USA; 2017.  (427.72 KB)
Campos V, Sastre F, Yagües M, Bellver M, Giró-i-Nieto X, Torres J. 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)
Cànaves MArtigues. Prevention of Alzheimer's Disease: a contribution from MRI and machine learning. Petrone P, Vilaplana V. 2018.
Canton-Ferrer C, Butko T, Segura C, Giró-i-Nieto X, Nadeu C, Hernando J, et al.. Audiovisual Event Detection Towards Scene Understanding. In 2009 IEEE Computer-Society Conference on Computer Vision and Pattern Recognition Workshops. 2009. pp. 840–847.  (1.99 MB)
Canton-Ferrer C, Segura C, Pardàs M, Casas J, Hernando J. Multimodal Real-Time Focus of Attention Estimation in SmartRooms. In CVPR 2008 Workshop on Human Communicative Behavior Analysis. 2008. pp. 1–4.
Canton-Ferrer C, Casas J, Pardàs M. Head Pose Detection based on Fusion of Multiple Viewpoint Information. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2007. pp. 305–310.
Canton-Ferrer C, Casas J, Pardàs M. Real-time 3D multi-person tracking using Monte Carlo surface sampling. In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. 2010. pp. 40–46.
Canton-Ferrer C, Canton-Ferrer C, Casas J, Pardàs M. Fusion of multiple viewpoint information towards 3d face robust orientation detection. In IEEE International Conference on Image Processing. 2005.

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