Index for chei

Cheikh, B.B.[Bassem Ben] * 2017: tomographical reconstruction method from unknown direction projections for 2D gray-level images, A

Cheikh, F.A.[Faouzi Alaya] * 1996: Impulse noise removal in highly corrupted color images
* 2000: Weighted Distance Approach to Relevance Feedback, A
* 2002: Ordinal-Measure Based Shape Correspondence
* 2002: Special Issue on Image Analysis for Multimedia Interactive Services
* 2002: Special Issue On Image Analysis for Multimedia Interactive Services: Part II
* 2010: Evaluation of a Difference of Gaussians Based Image Difference Metric in Relation to Perceived Compression Artifacts
* 2010: Salient region detection with opponent color boosting
* 2010: visual attention based reference free perceptual quality metric, A
* 2011: Blackboard content classification for lecture videos
* 2011: Collaborative cameras for multi-target tracking using color based particle filter and object contour
* 2013: Stereo image quality assessment using a binocular just noticeable difference model
* 2014: Rate distortion optimal bit allocation for stereo image coding
* 2014: Spatio-temporal analysis of eye fixations data in images
* 2015: Automatic detection of colonoscopic anomalies using capsule endoscopy
* 2015: Efficient Inter-View Bit Allocation Methods for Stereo Image Coding
* 2016: HoG based real-time multi-target tracking in Bayesian framework
* 2016: On the performance of 3D just noticeable difference models
* 2017: Full-reference stereoscopic image quality assessment accounting for binocular combination and disparity information
* 2017: hierarchical feature model for multi-target tracking, A
* 2017: No-reference stereo image quality assessment based on joint wavelet decomposition and statistical models
* 2018: Deep Smoke Removal from Minimally Invasive Surgery Videos
* 2018: Directed Sparse Graphical Model for Multi-target Tracking, A
* 2018: No-Reference Quality Assessment of Stereoscopic Images Based on Binocular Combination of Local Features Statistics
* 2019: Blind Stereopair Quality Assessment Using Statistics of Monocular and Binocular Image Structures
* 2019: Disam: Density Independent and Scale Aware Model for Crowd Counting and Localization
* 2019: Efficient Enhancement of Stereo Endoscopic Images Based on Joint Wavelet Decomposition and Binocular Combination
* 2019: Image Based Prediction Model for Sleep Stage Identification, An
* 2020: Bottom-up Approach for Pig Skeleton Extraction Using RGB Data, A
* 2020: Residual Networks Based Distortion Classification and Ranking for Laparoscopic Image Quality Assessment
* 2020: Social Modeling Meets Virtual Reality: An Immersive Implication
* 2021: Convolutional Neural Networks for Omnidirectional Image Quality Assessment: Pre-Trained or Re-Trained?
* 2021: IR-SSL: Improved Regularization Based Semi-Supervised Learning for Land Cover Classification
* 2021: Perceptually-Weighted Cnn for 360-Degree Image Quality Assessment Using Visual Scan-Path and Jnd
* 2022: Convolutional Neural Networks for Omnidirectional Image Quality Assessment: A Benchmark
* 2022: New Video Quality Assessment Dataset for Video Surveillance Applications, A
* 2022: Psi-NET: A Novel Encoder-Decoder Architecture for Animal Segmentation
Includes: Cheikh, F.A.[Faouzi Alaya] Cheikh, F.A. Cheikh, F.A.[Faouzi A.]
36 for Cheikh, F.A.

Cheikhouhou, I.[Imene] * 2010: Mass Description for Breast Cancer Recognition

Cheikhrouhou, A.[Ahmed] * 2021: Multi-task learning for simultaneous script identification and keyword spotting in document images

Cheikhrouhou, I. * 2008: New mass description in mammographies
* 2011: Protuberance Selection descriptor for breast cancer diagnosis
Includes: Cheikhrouhou, I. Cheikhrouhou, I.[Imene]

Cheikhrouhou, O.[Omar] * 2022: IMG-forensics: Multimedia-enabled information hiding investigation using convolutional neural network

Cheiky, M.[Michael] * 2005: Photo realistic talking head creation system and method
* 2006: Do-it-yourself photo realistic talking head creation system and method

Index for "c"


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