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Author Title Type [ Year(Asc)]
2017
Salvador A. Snap a photo, get a recipe: pic2recipe uses AI to predict food ingredients. Digital Trends; 2017.
Luque B, Morros JR, Ruiz-Hidalgo J. Spatio-Temporal Road Detection from Aerial Imagery using CNNs. In International Conference on Computer Vision Theory and Applications. Porto, Portugal; 2017.  (6.14 MB)
Bellot P. Study of Gene Regulatory Networks Inference Methods from Gene Expression Data. Salembier P. 2017.  (2.73 MB)
Assens M. The Temporal Dimension of Visual Attention Models. McGuinness K, Giró-i-Nieto X, O'Connor NE. 2017.  (6.98 MB)
Duarte A, Surís D, Salvador A, Torres J, Giró-i-Nieto X. Temporal-aware Cross-modal Embeddings for Video and Audio Retrieval. In NIPS 2017 Women in Machine Learning Workshop (WiML). Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017.  (155.1 KB)
Le N, Bredin H, Sargent G, India M, Lopez-Otero P, Barras C, et al.. Towards large scale multimedia indexing: A case study on person discovery in broadcast news. In International Workshop on Content-Based Multimedia Indexing - CBMI 2017. Firenze, Italy; 2017.  (831.12 KB)
Roldán F. Visual Question Answering 2.0. Giró-i-Nieto X, Masuda-Mora I, Pascual-deLaPuente S. 2017.  (2.59 MB)
Fernàndez D, Varas D, Espadaler J, Ferreira J, Woodward A, Rodríguez D, et al.. ViTS: Video Tagging System from Massive Web Multimedia Collections. In ICCV 2017 Workshop on Web-scale Vision and Social Media . Venice, Italy; 2017.  (1.18 MB)
2016
Casamitjana A, Puch S, Aduriz A, Sayrol E, Vilaplana V. 3D Convolutional Neural Networks for Brain Tumor Segmentation. In MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2016.  (226.04 KB)
Lin X, Casas J, Pardàs M. 3D Point Cloud Segmentation Oriented to The Analysis of Interactions. In The 24th European Signal Processing Conference (EUSIPCO 2016). Budapest, Hungary: Eurasip; 2016.  (10.54 MB)
Lin X, Casas J, Pardàs M. 3D Point Cloud Video Segmentation Based on Interaction Analysis. In ECCV 2016: Computer Vision – ECCV 2016 Workshops. Amsterdam: Springer; 2016. pp. 821 - 835.  (10 MB)
Aduriz A. Analysis of the dynamics of gray matter reduction in Alzheimer's Disease. Vilaplana V. 2016.  (9.47 MB)
Perez-Pellitero E, Salvador J, Ruiz-Hidalgo J, Rosenhahn B. Antipodally Invariant Metrics For Fast Regression-Based Super-Resolution. IEEE Transactions on Image Processing. 2016;25(6):2468.  (5.48 MB)
Carlier A, Salvador A, Cabezas F, Giró-i-Nieto X, Charvillat V, Marques O. Assessment of Crowdsourcing and Gamification Loss in User-Assisted Object Segmentation. Multimedia Tools and Applications. 2016;23(75).
Mohedano E, Salvador A, McGuinness K, Giró-i-Nieto X, O'Connor N, Marqués F. Bags of Local Convolutional Features for Scalable Instance Search. In ACM International Conference on Multimedia Retrieval (ICMR). New York City, NY; USA: ACM; 2016.  (3.73 MB)
Poignant J, Budnik M, Bredin H, Barras C, Stefas M, Bruneau P, et al.. The CAMOMILE Collaborative Annotation Platform for Multi-modal, Multi-lingual and Multi-media Documents. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portorož (Slovenia); 2016.  (679.91 KB)
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)

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