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Author Title Type [ Year(Desc)]
2016
Fernàndez D. Clustering and Prediction of Adjective-Noun Pairs for Affective Computing. Campos V, Jou B, Giró-i-Nieto X, Chang S-F. 2016.  (10.38 MB)
Maceira M, Morros JR, Ruiz-Hidalgo J. Depth map compression via 3D region-based representation. Multimedia Tools and Applications. 2016;.  (15.02 MB)
Carné-Herrera M. Detect Snap Points in Egocentric Images with Physiological Signals. Gurrin C, Giró-i-Nieto X. 2016.  (4.63 MB)
Marsden M, Mohedano E, McGuinness K, Calafell A, Giró-i-Nieto X, O'Connor N, et al.. Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
Bellver M, Giró-i-Nieto X, Marqués F. Efficient search of objects in images using deep reinforcement learning. NIPS Women in Machine Learning Workshop. Barcelona.; 2016.
Carné-Herrera M, Giró-i-Nieto X, Gurrin C. EgoMemNet: Visual Memorability Adaptation to Egocentric Images. Las Vegas, NV, USA: 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016; 2016 .  (265.4 KB)
Chertó M. EgoMon Gaze and Video Dataset for Visual Saliency Prediction. Gurrin C, Giró-i-Nieto X. 2016.  (1.48 MB)
Salvador A, Giró-i-Nieto X, Marqués F, Satoh S'ichi. Faster R-CNN Features for Instance Search. In CVPR Workshop Deep Vision. 2016.  (2.77 MB)
Catà M. Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. Vilaplana V, Casamitjana A. 2016.  (4.52 MB)
Lin X, Casas J, Pardàs M. Graph based Dynamic Segmentation of Generic Objects in 3D. In CVPR SUNw: Scene Understanding Workshop. Las Vegas, US; 2016.  (956.15 KB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Half Hypersphere Confinement for Piecewise Linear Regression. In IEEE Winter Conference on Applications of Computer Vision. Lake Placid, NY, USA; 2016.  (7.01 MB)
Fernàndez D, Campos V, Jou B, Giró-i-Nieto X, Chang S-F. 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)
Bellver M, Giró-i-Nieto X, Marqués F, Torres J. Hierarchical Object Detection with Deep Reinforcement Learning. In Deep Reinforcement Learning Workshop, NIPS 2016. 2016.  (877.51 KB)
Casanova A, Pujol-Miró A, Ruiz-Hidalgo J, Casas J. Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016.  (2.04 MB)
de Oliveira-Barra G, Lux M, Giró-i-Nieto X. Large Scale Content-Based Video Retrieval with LIvRE. In 14th International Workshop on Content-based Multimedia Indexing (CBMI). Bucharest, Romania: IEEE; 2016.  (909.81 KB)
de Oliveira-Barra G, Giró-i-Nieto X, Cartas-Ayala A, Radeva P. 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)
Gurrin C, Giró-i-Nieto X, Radeva P, Dimiccoli M, Johansen H, Joho H, et al.. LTA 2016 - The First Workshop on Lifelogging Tools and Applications. In ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016.  (385.75 KB)
Santamarta VMarcos. Machine learning for recommendation systems in job postings selection. Vidal J, Vilaplana V. 2016.
Puch S. Nonlinear analysis toolbox for neurodegenerative diseases and aging. Vilaplana V. 2016.  (9.74 MB)
Ferri A. Object Tracking in Video with TensorFlow. Giró-i-Nieto X, Torres J, Salvador A. 2016.  (22.63 MB)
Masuda-Mora I. Open-Ended Visual Question-Answering. Pascual-deLaPuente S, Giró-i-Nieto X. 2016.  (7.03 MB)
Salembier P, Foucher S. Optimum Graph-Cuts for Pruning Binary Partition Trees of Polarimetric SAR images. IEEE Transactions on Geoscience and Remote Sensing. 2016;54(9):5493 – 5502.  (3.42 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. PSyCo: Manifold Span Reduction for Super Resolution. In IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas, Nevada, USA; 2016.  (1.56 MB)
Varas D. Region-based Particle Filter Leveraged with a Hierarchical Co-clustering. Marqués F. Signal Theory and Communications Department. [Barcelona]: UPC; 2016.
Pan J, McGuinness K, Sayrol E, O'Connor N, Giró-i-Nieto X. Shallow and Deep Convolutional Networks for Saliency Prediction. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Las Vegas, NV, USA: Computer Vision Foundation / IEEE; 2016.  (466.13 KB)

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