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Author Title Type [ Year
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. Saliency Weighted Convolutional Features for Instance Search. In Content-Based Multimedia Indexing - CBMI. La Rochelle, France: IEEE; 2018.
(3.8 MB)
. Scanpath and Saliency Prediction on 360 Degree Images. Elsevier Signal Processing: Image Communication. 2018;.
(2.61 MB)
. Sentiment concept embedding for visual affect recognition. In Multimodal Behavior Analysis in theWild. 1st ed. Elsevier; 2018.
. Shared Latent Structures Between Imaging Features and Biomarkers in Early Stages of Alzheimer’s Disease. In PRedictive Intelligence in MEdicine. Springer International Publishing; 2018. pp. 60-67.
. Shared latent structures between imaging features and biomarkers in early stages of Alzheimer's disease. In Workshop on Predictive Intelligence in Medicine (PRIME), MICCAI. Granada, Spain; 2018.
. Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In International Conference on Learning Representations (ICLR). 2018.
. Speech-conditioned Face Generation with Deep Adversarial Networks. . 2018.
(1.79 MB)
. Temporal Saliency Adaptation in Egocentric Videos. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Computing. Munich, Germany: Extended abstract; 2018.
(279.32 KB)
. Temporal Saliency Adaptation in Egocentric Videos. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Computing. Munich, Germany: Extended abstract; 2018.
(279.32 KB)
. Towards Speech to Sign Language Translation. In ECCV 2018 Workshop on Shortcomings in Vision and Language. 2018.
(142.48 KB)
. Video Understanding through the Disentanglement of Appearance and Motion. . 2018.
(1.06 MB)
. What is going on in the world? A display platform for media understanding. In IEEE Multimedia Information Processing and Retrieval (MIPR) Conference. Miami, FL (USA): IEEE; 2018.
(700.85 KB)
. Who watches the watchers? Quality control of the human inspection in production lines using Visual Intensity of Attention. In SAAEI 2018. Barcelona; 2018.
(593.55 KB)
. Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017.
(187.43 KB)
. Active Deep Learning for Medical Imaging Segmentation. In Medical Image meets NIPS 2017 Workshop. 2017.
(187.43 KB)
. Active Deep Learning for Medical Imaging Segmentation. . 2017.
(2.84 MB)
. Active Deep Learning for Medical Imaging Segmentation. . 2017.
(2.84 MB)
. Class Weighted Convolutional Features for Visual Instance Search. In 28th British Machine Vision Conference (BMVC). London, UK; 2017.
(3.56 MB)
. Cost-Effective Active Learning for Melanoma Segmentation. In ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017.
(521.82 KB)
. Cost-Effective Active Learning for Melanoma Segmentation. In ML4H: Machine Learning for Health Workshop at NIPS 2017. Long Beach, CA, USA; 2017.
(521.82 KB)
. Detection-aided liver lesion segmentation using deep learning. In ML4H: Machine Learning for Health Workshop at NIPS 2017. 2017.
(1 MB)
. Detection-aided medical image segmentation using deep learning. . 2017.
(7.07 MB)
. Disentangling Motion, Foreground and Background Features in Videos. In CVPR 2017 Workshop Brave New Motion Representations. 2017.
(370.64 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)