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Conference Paper
Vilaplana V, Muntaner G. Salient Object Detection on a Hierarchy of Image Partitions. In IEEE Int. Conf. in Image Processing, ICIP 2013. Melbourne, Australia; 2013.
Assens M, McGuinness K, Giró-i-Nieto X, O'Connor N. SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. In ICCV Workshop on Egocentric Perception, Interaction and Computing. Venice, Italy: IEEE; 2017.  (2.34 MB)
Morros JR, Marqués F. Scalable segmentation-based coding of video sequences addressing content-based functionalities. In IEEE International Conference on Image Processing. Santa Barbara, USA: IEEE; 1997. pp. 1-4.  (536.33 KB)
Torres J, Sastre F, Yagües M, Campos V, Giró-i-Nieto X. Scaling a Convolutional Neural Network for classification of Adjective Noun Pairs with TensorFlow on GPU Clusters. In 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). Madrid, Spain: IEEE; 2017.
Mañas O, Lacoste A, Giró-i-Nieto X, Vazquez D, Rodríguez P. Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. In International Conference in Computer Vision (ICCV). Virtual: IEEE/CVF; 2021.  (1.79 MB)
Marqués F, Gasull A. Segmentacion de imagenes mediante modelos de gibbs-markov. In VI Simposium Nacional de la Unión Científica Internacional de Radio. 1991. pp. 975–979.
Marqués F, Gasull A. Segmentacion de imagenes multiespectrales con tecnicas piramidales. In VII Simposium Nacional de la Unión Científica Internacional de Radio. 1992. pp. 372–376.
Marqués F, Gasull A. Segmentacion no supervisada de imagenes mediante campos aleatorios. In SIMPOSIUM NACIONAL DE RECONOZIMIENTO DE FORMAS Y ANALISIS IMAGENES. 1992. pp. 55–62.
Gallego J, Pardàs M. Segmentation and Tracking of Static and Moving Objects in Video Surveillance Scenarios. In IEEE International Conference on Image Processing. 2008. pp. 2716–2719.
Maziere M, Chassaing F, Garrido L, Salembier P. Segmentation and tracking of video objects for content-based video indexing. In IEEE International Conference on Multimedia and Expo, ICME'2000. New York City, NY, USA; 2000. pp. 305–309.
Torres L, Casas J, Diego D. Segmentation based coding of textures using stochastic vector quantization. In IEEE International Conference on Acoustics, Speech and Signal Processing. 1994. pp. 553–556.
Bangham J, Ruiz-Hidalgo J, Harvey R, Cawley G. The segmentation of images via scale-space trees. In British Machine Vision Conference. Southampton, UK; 1998. pp. 33–43.  (1.18 MB)
Marqués F, Salembier P, Pardàs M, Morros JR, Corset I, Jeannin S, et al.. A segmentation-based coding system allowing manipulation of objects. In IEEE International Conference on Image Processing, ICIP 1996. Lausanne, Switzerland; 1996. pp. 145–175.  (245.6 KB)
Marqués F. A segmentation-based coding system allowing manipulation of objects (sesame). In IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING. 1996.
Bazazian D, Casas J, Ruiz-Hidalgo J. Segmentation-based Multi-Scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds. In International Conference on Computer Vision Theory and Applications. Porto, Portugal; 2017.  (4.3 MB)
Salembier P, Marqués F, Pardàs M. Segmentation-based video coding: temporal links and rate control. In VIII European Signal Processing Conference, EUSIPCO'96. Trieste, Italy; 1996. pp. 455–458.  (275.97 KB)
Salembier P, Lopez F. Self-referred texture coding for segmentation-based codec. In SPIE Visual Communication and Image Processing, VCIP'94. Chicago (IL), USA; 1994.
García-Gómez P, Riu J, Casas J, Royo S. Self-registered lidar and polarimetric images in real-time: application to detection of small objects at sea. In 7th Workshop on Active Imaging. Saint-Louis, France: French-German Research Institute of Saint-Louis (ISL); 2019.
Pina O, Vilaplana V. Self-supervised graph representations of WSIs. In Geometric Deep Learning in Medical Image Analysis. 2022.
Lidon A, Bolaños M, Dimiccoli M, Radeva P, Garolera M, Giró-i-Nieto X. Semantic Summarization of Egocentric Photo Stream Events. In ACM Multimedia 2017 Workshop on Lifelogging Tools and Applications. Mountain View, CA, USA: ACM; 2017.  (3.08 MB)
Hernandez C, Combalia M, Malvehy J, Vilaplana V. Sentinel lymph node status prediction using self-attention networks and contrastive learning from routine histology images of primary tumours. In Medical Imaging with Deep Learning MIDL 2022. 2022.
Hernandez C, Vilaplana V, Combalia M, García S, Podlipnik S, Burgos J, et al.. Sentinel lymph node status prediction with self-attention neural networks using histologies of primary melanoma tumours. In European Association of Dermato Oncology (EADO 2022). 2022.
Xu L-Q, Landabaso J-L, Pardàs M. Shadow removal with blob-based Morphological Reconstruction for Error Corretion. In 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing. 2005. pp. 729–732.
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)
Marqués F, Gasull A. Shape and location coding for contour images. In PROC. OF THE 1993 PICTURE CODING SYMPOSIUM. 1993. pp. 61–63.

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