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. EgoMemNet: Visual Memorability Adaptation to Egocentric Images. Las Vegas, NV, USA: 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016; 2016 . 
(265.4 KB)
(265.4 KB). EgoMon Gaze and Video Dataset for Visual Saliency Prediction. . 2016. (1.48 MB)
(1.48 MB). Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. . 2016. (4.52 MB)
(4.52 MB). Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. . 2016. (4.52 MB)
(4.52 MB). Graph based Dynamic Segmentation of Generic Objects in 3D. In CVPR SUNw: Scene Understanding Workshop. Las Vegas, US; 2016. (956.15 KB)
(956.15 KB). Is a “happy dog” more “happy” than “dog”? - Adjective and Noun Contributions for Adjective-Noun Pair prediction. NIPS Women in Machine Learning Workshop. Barcelona; 2016. (3.11 MB)
(3.11 MB). Is a “happy dog” more “happy” than “dog”? - Adjective and Noun Contributions for Adjective-Noun Pair prediction. NIPS Women in Machine Learning Workshop. Barcelona; 2016. (3.11 MB)
(3.11 MB). Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016. (2.04 MB)
(2.04 MB). Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016. (2.04 MB)
(2.04 MB). LEMoRe: A Lifelog Engine for Moments Retrieval at the NTCIR-Lifelog LSAT Task. In The 12th NTCIR Conference, Evaluation of Information Access Technologies. Tokyo, Japan: National Institute of Informatics (NII); 2016. (3.22 MB)
(3.22 MB). UPC System for the 2016 MediaEval Multimodal Person Discovery in Broadcast TV task. In MediaEval 2016 Workshop. Hilversum, The Netherlands; 2016. (174.87 KB)
(174.87 KB). Video Retrieval of Specific Persons in Specific Locations. . 2016. (17.14 MB)
(17.14 MB). Visual Memorability for Egocentric Cameras. . 2016. (98.86 MB)
(98.86 MB). Voxelwise nonlinear regression toolbox for neuroimage analysis: Application to aging and neurodegenerative disease modeling. In NIPS 2016 Workshop on Machine Learning for Health. 2016. (1.6 MB)
(1.6 MB). Co-filtering human interaction and object segmentation. . 2015. (1.82 MB)
(1.82 MB). Co-filtering human interaction and object segmentation. . 2015. (1.82 MB)
(1.82 MB). Co-filtering human interaction and object segmentation. . 2015. (1.82 MB)
(1.82 MB). Cultural Event Recognition with Visual ConvNets and Temporal Models. In CVPR ChaLearn Looking at People Workshop 2015. 2015. (1.09 MB)
(1.09 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. (506.22 KB)
(506.22 KB). Fast and Robust Edge Extraction in Unorganized Point Clouds. In International Conference on Digital Image Computing: Techniques and Applications. Adelaide, Australia: DICTA/IEEE; 2015. (700.25 KB)
(700.25 KB). Fine-tuning a Convolutional Network for Cultural Event Recognition. . 2015. (11.14 MB)
(11.14 MB). Layer-wise CNN Surgery for Visual Sentiment Prediction. . 2015. (1.51 MB)
(1.51 MB). Object recognition in hyperspectral images using Binary Partition Tree representation. Pattern Recognition Letters. 2015;56:45-51. (1.75 MB)
(1.75 MB). Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015. (362.33 KB)
(362.33 KB)