Index for cruc

Cruceanu, R. * 2004: unified framework for uncertainty propagation in automatic shape tracking, A

Cruces, S. * 2013: Blind Separation of Dependent Sources with a Bounded Component Analysis Deflationary Algorithm

Cruciani, F.[Federica] * 2020: Explainable 3D-CNN for Multiple Sclerosis Patients Stratification
* 2022: Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges
* 2022: Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: A New Stability Criterion for Explainable Methods

Crucianu, M. * 2003: Detection, extraction and representation of tables
* 2005: Improving Performance of Interactive Categorization of Images Using Relevance Feedback
* 2005: Semi-Supervised Image Database Categorization Using Pairwise Constraints
* 2006: Fuzzy clustering with pairwise constraints for knowledge-driven image categorisation
* 2007: Speeding up active relevance feedback with approximate knn retrieval for hyperplane queries
* 2007: Z-grid-based probabilistic retrieval for scaling up content-based copy detection
* 2008: Active semi-supervised fuzzy clustering
* 2015: Scalable action localization with kernel-space hashing
* 2016: Aggregating Image and Text Quantized Correlated Components
* 2016: Fast Action Localization in Large-Scale Video Archives
* 2017: Fully Convolutional Network with Superpixel Parsing for Fashion Web Image Segmentation
* 2019: From Classical to Generalized Zero-Shot Learning: A Simple Adaptation Process
* 2019: Modeling Inter and Intra-Class Relations in the Triplet Loss for Zero-Shot Learning
* 2020: Deep online classification using pseudo-generative models
* 2020: Flood Detection In Time Series of Optical and Sar Images
* 2022: Multi-attribute balanced sampling for disentangled GAN controls
* 2024: Semantic Generative Augmentations for Few-Shot Counting
Includes: Crucianu, M. Crucianu, M.[Michel]
17 for Crucianu, M.

Crucil, G.[Giacomo] * 2022: Semi-Empirical Anisotropy Correction Model for UAS-Based Multispectral Images of Bare Soil, A
* 2022: UAV Remote Sensing for Detecting within-Field Spatial Variation of Winter Wheat Growth and Links to Soil Properties and Historical Management Practices. A Case Study on Belgian Loamy Soil

Index for "c"


Last update: 6-May-24 16:26:51
Use price@usc.edu for comments.