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. Particle Filtering and Sparse Sampling for Multi-Person 3D Tracking. In IEEE International Conference on Image Processing. 2008. pp. 2644–2647.
. Towards a low cost multi-camera marker based human motion capture system. In 16th International Conference on Image Processing. 2009. pp. 2581–2584.
. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1.
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. Multi-Person Tracking Strategies Based on Voxel Analysis. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2008. pp. 91–103.
. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In Machine Learning for Multimodal Interaction. Berlin / Heidelberg: Springer; 2006. pp. 250–261.
. Multi-Person Tracking Strategies Based on Voxel Analysis. In CLEAR'07 Second International Evaluation Workshop on Classification of Events, Activities and Relationships. 2007. pp. 1–12.
. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.
(330.58 KB)
. Multi-camera multi-object voxel-based Monte Carlo 3D tracking strategies. Eurasip journal on advances in signal processing. 2011;2011:1–15.
. Voxel based annealed particle filtering for markerless 3D articulated motion capture. In 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2009. 2009. pp. 1–4.
. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In V Conference on Articulated Motion and Deformable Objects (AMDO). 2008. pp. 82–91.
. Image and video processing tools for HCI. In Multimodal signal processing: theory and applications for human-computer interaction. 2009. pp. 93–118.
. Human Motion Capture with Scalable Body Models. . Universitat Politècnica de Catalunya (UPC); 2009.
(13.45 MB)
. Towards a Bayesian Approach to Robust Finding Correspondances in Multiple View Geometry Environments. In Computational Science – ICCS 2005. Berlin / Heidelberg: Springer; 2005. pp. 281–289.
. Head Orientation Estimation using Particle Filtering in Multiview Scenarios. In CLEAR'07 Second International Evaluation Workshop on Classification of Events, Activities and Relationships. 2007. pp. 1–11.
. 3D Human Action Recognition In Multiple View Scenarios. In 2ones Jornades UPC de Investigación en Automática, Visión y Robótica. 2006. pp. 1–5.
. Marker-based human motion capture in multi-view sequences. Eurasip journal on advances in signal processing. 2010;2010:1–11.
. From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. Image and Vision Computing. 2017;.
(1.92 MB)
. Sentiment concept embedding for visual affect recognition. In Multimodal Behavior Analysis in theWild. 1st ed. Elsevier; 2018.
. Learning to Skip State Updates in Recurrent Neural Networks. . 2017.
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. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In International Conference on Learning Representations (ICLR). 2018.
. Importance Weighted Evolution Strategies. In NeurIPS 2018 Deep Reinforcement Learning Workshop . Montreal, Quebec; 2018.
(362.25 KB)
. Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. In International Conference on Machine Learning (ICML) 2020. 2020.
(6.89 MB)
. 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.
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