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. 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.
. Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. In International Conference in Computer Vision (ICCV). Virtual: IEEE/CVF; 2021. (1.79 MB)
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. Segmentation and Tracking of Static and Moving Objects in Video Surveillance Scenarios. In IEEE International Conference on Image Processing. 2008. pp. 2716–2719.
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. 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)
. 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)
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. 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.
. Self-supervised graph representations of WSIs. In Geometric Deep Learning in Medical Image Analysis. 2022.
. 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)
. 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.
. 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.
. 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.
. 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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