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. From pixels to graphs: cell-based digital pathology image analysis. . Signal Theory and Communications. 2025.
. Fast unsupervised tensor restoration via low-rank deconvolution. In IEEE International Conference on Image Processing (ICIP). Abu Dhabi: IEEE; 2024.
. Feature propagation as self-supervision signals on graphs. Knowledge-Based Systems. 2024;289.
. Few-shot 3D Reconstruction of Body Parts with Deep Neural Networks. . Signal Theory and Communications. 2022.
. Fruit detection and 3D location using instance segmentation neural networks and structure-from-motion photogrammetry. Computers and Electronics in Agriculture. 2020;169.
. FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations. Information Fusion. 2020;63(195). 
(366.22 KB)
(366.22 KB). Fruit Detection in an Apple Orchard Using a Mobile Terrestrial Laser Scanner. Biosystems Engineering. 2019;187.
. Fruit Detection Using Mobile Terrestrial Laser Scanning. In AgEng 2018,. Wageningen (Netherlands); 2018.
. Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback. Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017. (341.96 KB)
(341.96 KB). From Pixels to Sentiment: Fine-tuning CNNs for Visual Sentiment Prediction. Image and Vision Computing. 2017;. (1.92 MB)
(1.92 MB). Faster R-CNN Features for Instance Search. In CVPR Workshop Deep Vision. 2016. (2.77 MB)
(2.77 MB). Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. . 2016. (4.52 MB)
(4.52 MB). 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). Fast Super-Resolution via Dense Local Training and Inverse Regressor Search. In Asian Conference in Computer Vision (ACCV). Singapore; 2014. (19.06 MB)
(19.06 MB). From Global Image Annotation to Interactive Object Segmentation. Multimedia Tools and Applications. 2014;70. (1.71 MB)
(1.71 MB). Fusion of colour and depth partitions for depth map coding. In Digital Signal Processing. Santorini, Greece; 2013. (6.27 MB)
(6.27 MB). Filtering and Segmentation of Polarimetric SAR Data Based on Binary Partition Trees. IEEE transactions on geoscience and remote sensing. 2012;50:593–605. (2.02 MB)
(2.02 MB). Foreground objects segmentation for moving camera scenarios based on SCGMM. In Computational Intelligence for Multimedia Understanding. Berlin Heidelberg: Springer; 2012. pp. 195-206.
. From local occlusion cues to global depth estimation. In IEEE Int. Conf. on Acoustics Speech and Signal Processing, ICASSP 2012. Kyoto, Japan; 2012. (480.32 KB)
(480.32 KB). Feature set enhancement via hierarchical clustering for microarray classification. In IEEE International Workshop on Genomic Signal Processing and Statistics, GENSIPS 2011. 2011. pp. 226 -229. (254.44 KB)
(254.44 KB). Format-agnostic approach for production, delivery and rendering of immersive media. In Networked and Electronic Media Summit. 2011. p. –. (3.19 MB)
(3.19 MB). Filtering and segmentation of polarimetric SAR images with binary partition trees. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2010. Honolulu, USA; 2010. pp. 4043–4046. (972.45 KB)
(972.45 KB)