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. Monte-Carlo Sampling Applied to Multiple Instance Learning for Histological Image Classification. In Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support. Springer International Publishing; 2018. pp. 274-281.
. Unbalanced multiple description video coding based on a rate-distortion optimization. Eurasip Journal on Applied Signal Processing. 2003;2003:81–90.
. The Importance of Time in Visual Attention Models. . 2018.
(5.46 MB)
. EgoMon Gaze and Video Dataset for Visual Saliency Prediction. . 2016.
(1.48 MB)
. A Preliminary Study of Deep Learning Sensor Fusion for Pedestrian Detection. Sensors. 2023;23(8).
(9.94 MB)
. A Motion-based Binary Partition Tree approach to Video Object Segmentation. In IEEE International Conference on Image Processing. 2005. pp. 430–433.
. Hierarchical Partition-Based Representations of Motion-Coherent Regions For Video Object Segmentation. . Universitat Politècnica de Catalunya (UPC); 2007.
. Trajectory tree as an object-oriented hierarchical representation for video. IEEE transactions on circuits and systems for video technology. 2009;19:547–560.
. Masked V-Net: an approach to brain tumor segmentation. In Multimodal Brain Tumor Segmentation Benchmark, Brain-lesion Workshop, MICCAI 2017 . 2017.
. Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. . 2016.
(4.52 MB)
. Disentangling neural network structure from the weights space. . 2021.
(17.1 MB)
. SIRA: Relightable Avatars from a Single Image. In Winter Conference on Applications of Computer Vision (WACV). 2023.
. Integrating low-level motion cues in deep video saliency. . 2019.
(10.04 MB)
. Flux-gradient and source-term balancing for certain high resolution shock-capturing schemes. Computers & Fluids. 2009;38(1):16 - 36.
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. Mutual feedback scheme for face detection and tracking aimed at density estimation in demonstrations. IEE Proceedings-Vision, Image and Signal Processing. 2005;152(3):334–346.
. Image-based Multi-view Scene Analysis using 'Conexels'. In HCSNet Workshop on the Use of Vision in Human-Computer Interaction (VisHCI 2006). 2006. pp. 203–212.
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