Aras, A.C.[Arda Can]
* 2024: Trainable Fractional Fourier Transform
Aras, H.C.[H. Can]
* 2010: HINDSITE: A user-interactive framework for fragment assembly
Aras, N.
* 1998: Discrete Vector Quantization for Arbitrary Distance Function Estimation
Aras, R.[Rifat]
* 2008: 3D Hair Sketching for real-time dynamic and key frame animations
Arasanipalai, A.U.[Ajay Uppili]
* 2021: Rotate to Attend: Convolutional Triplet Attention Module
Arase, K.
* 2019: Rethinking Task and Metrics of Instance Segmentation on 3D Point Clouds
Arashloo, S.R.[Shervin Rahimzadeh]
* 2009: Hierarchical Image Matching for Pose-invariant Face Recognition
* 2009: Pose-Invariant Face Matching Using MRF Energy Minimization Framework
* 2011: Energy Normalization for Pose-Invariant Face Recognition Based on MRF Model Image Matching
* 2011: Pose-invariant face recognition by matching on multi-resolution MRFs linked by supercoupling transform
* 2014: Dynamic Texture Recognition Using Multiscale Binarized Statistical Image Features
* 2014: Fast pose invariant face recognition using super coupled multiresolution Markov Random Fields on a GPU
* 2015: Local selected features of dual-tree complex wavelet transform for single sample face recognition
* 2016: comparison of deep multilayer networks and Markov random field matching models for face recognition in the wild, A
* 2016: Incorporating higher-order point distribution model priors into MRFs using convex quadratic programming
* 2016: Multi-layer local energy patterns for texture representation and classification
* 2017: Dynamic texture representation using a deep multi-scale convolutional network
* 2019: Sparse binarised statistical dynamic features for spatio-temporal texture analysis
* 2021: Client-specific anomaly detection for face presentation attack detection
* 2021: Unseen Face Presentation Attack Detection Using Sparse Multiple Kernel Fisher Null-Space
* 2023: One-Class Classification Using lp-Norm Multiple Kernel Fisher Null Approach
* 2024: Large-margin multiple kernel Lp-SVDD using Frank-Wolfe algorithm for novelty detection
Includes: Arashloo, S.R.[Shervin Rahimzadeh] Arashloo, S.R.[S. Rahimzadeh]
16 for Arashloo, S.R.
Araslanov, N.[Nikita]
* 2016: Efficient Single-View 3D Co-segmentation Using Shape Similarity and Spatial Part Relations
* 2019: Actor-Critic Instance Segmentation
* 2019: Markov Decision Process for Video Generation
* 2020: Single-Stage Semantic Segmentation From Image Labels
* 2021: Self-supervised Augmentation Consistency for Adapting Semantic Segmentation
* 2024: Masked Event Modeling: Self-Supervised Pretraining for Event Cameras
Includes: Araslanov, N.[Nikita] Araslanov, N.
Arass, M.E.
* 2017: Data lifecycles analysis: Towards intelligent cycle
Arastouie, N.[Narges]
* 2020: Writer identification with n-tuple direction feature from contour
Arastounia, M.
* 2014: Segmentation of planar surfaces in LiDAR point clouds of an electrical substation by exploring the structure of points neighbourhood
* 2015: Automated Recognition of Railroad Infrastructure in Rural Areas from LIDAR Data
* 2015: Automatic Object Extraction from Electrical Substation Point Clouds
* 2021: Simultaneous identification, modeling and registration refinement of poles using laser scanning point clouds
Includes: Arastounia, M. Arastounia, M.[Mostafa]
Araszkiewicz, A.[Andrzej]
* 2018: Assessment of the Impact of GNSS Processing Strategies on the Long-Term Parameters of 20 Years IWV Time Series
* 2021: GPS-Based Multi-Temporal Variation in Precipitable Water over the Territory of Poland
* 2022: Analysis of Different Weighting Functions of Observations for GPS and Galileo Precise Point Positioning Performance
* 2023: Integration of Distributed Dense Polish GNSS Data for Monitoring the Low Deformation Rates of Earth's Crust