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. 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). Importance Weighted Evolution Strategies. In NeurIPS 2018 Deep Reinforcement Learning Workshop . Montreal, Quebec; 2018. (362.25 KB)
(362.25 KB). 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.
. Towards a low cost multi-camera marker based human motion capture system. In 16th International Conference on Image Processing. 2009. pp. 2581–2584.
. Marker-based human motion capture in multi-view sequences. Eurasip journal on advances in signal processing. 2010;2010:1–11.
. Particle Filtering and Sparse Sampling for Multi-Person 3D Tracking. In IEEE International Conference on Image Processing. 2008. pp. 2644–2647.
. Head Pose Detection based on Fusion of Multiple Viewpoint Information. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2007. pp. 305–310.
. Human Model and Motion Based 3D Action Recognition in Multiple View Scenarios. In 14th European Signal Processing Conference. 2006. pp. 1–1.
. 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.
. Multi-Person Tracking Strategies Based on Voxel Analysis. In Multimodal Technologies for Perception of Humans. Berlin / Heidelberg: Springer; 2008. pp. 91–103.
. 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.
. Human motion capture using scalable body models. Computer vision and image understanding. 2011;115:1363–1374.
. Projective Kalman Filter: Multiocular Tracking of 3D Locations Towards Scene Understanding. In 2nd Joint Workshop on Multimodal Interaction and Related Machine Learning Algorithms. 2005.
. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In Articulated Motion and Deformable Objects. Berlin / Heidelberg: Springer; 2008. pp. 82–91.
. Exploiting Structural Hierarchy in Articulated Objects Towards Robust Motion Capture. In V Conference on Articulated Motion and Deformable Objects (AMDO). 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.
. Image and video processing tools for HCI. In Multimodal signal processing: theory and applications for human-computer interaction. 2009. pp. 93–118.
. 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)
(1.99 MB)