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. From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. Image and Vision Computing. 2017;. 
(1.92 MB)
(1.92 MB). Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. In International Conference on Machine Learning (ICML) 2020. 2020. (6.89 MB)
(6.89 MB). Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In International Conference on Learning Representations (ICLR). 2018.
. Layer-wise CNN Surgery for Visual Sentiment Prediction. . 2015. (1.51 MB)
(1.51 MB). 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)
(427.72 KB). Deep Learning that Scales: Leveraging Compute and Data. . Computer Architecture. [Barcelona, Catalonia]: Universitat Politècnica de Catalunya; 2020. (8.55 MB)
(8.55 MB). Learning to Skip State Updates in Recurrent Neural Networks. . 2017. (961.49 KB)
(961.49 KB). 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). Sentiment concept embedding for visual affect recognition. In Multimodal Behavior Analysis in theWild. 1st ed. Elsevier; 2018.
. 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)
(506.22 KB). Towards a low cost multi-camera marker based human motion capture system. In 16th International Conference on Image Processing. 2009. pp. 2581–2584.
. Particle Filtering and Sparse Sampling for Multi-Person 3D Tracking. In IEEE International Conference on Image Processing. 2008. pp. 2644–2647.
. Marker-based human motion capture in multi-view sequences. Eurasip journal on advances in signal processing. 2010;2010:1–11.
. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1. (568.01 KB)
(568.01 KB). Head Pose Detection based on Fusion of Multiple Viewpoint Information. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2007. pp. 305–310.
. 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.
. 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.
. 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)
(330.58 KB). Human motion capture using scalable body models. Computer vision and image understanding. 2011;115:1363–1374.
. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In V Conference on Articulated Motion and Deformable Objects (AMDO). 2008. pp. 82–91.
. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer; 2008. pp. 82–91.
. 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.
. Multi-Person Tracking Strategies Based on Voxel Analysis. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2008. pp. 91–103.