Bab Hadiashar, A.[Alireza]
* 1996: Robust Optic Flow Estimation Using Least Median of Squares
* 1997: Optic Flow Calculation Using Robust Statistics
* 1998: Range and Motion Segmentation: A Robust Approach
* 1998: Robust Optic Flow Computation
* 1998: Robust Range Segmentation
* 2002: Robust model based motion segmentation
* 2003: Motion analysis: Model selection and motion segmentation
* 2004: Effect of noise on model selection criteria in visual applications
* 2004: model selection criteria as merging criteria, The
* 2004: Model Selection for Range Segmentation of Curved Objects
* 2005: Detecting cylinders in 3D range data using model selection criteria
* 2006: Finite Sample Bias of Robust Scale Estimators in Computer Vision Problems
* 2006: Parametric model-based motion segmentation using surface selection criterion
* 2006: Range Image Segmentation Using Surface Selection Criterion
* 2007: Consistency of robust estimators in multi-structural visual data segmentation
* 2007: Novel Hierarchical Technique for Range Segmentation of Large Building Exteriors, A
* 2007: Novel High Breakdown M-estimator for Visual Data Segmentation, A
* 2008: Bridging Parameter and Data Spaces for Fast Robust Estimation in Computer Vision
* 2008: comparative study of model selection criteria for computer vision applications, A
* 2008: Limits of Motion-Background Segmentation Using Fundamental Matrix Estimation
* 2009: Aerial tracking of elongated objects in rural environments
* 2009: Conditions for Segmentation of 2D Translations of 3D Objects
* 2009: Conditions for Segmentation of Motion with Affine Fundamental Matrix
* 2010: Finite Sample Bias of Robust Estimators in Segmentation of Closely Spaced Structures: A Comparative Study
* 2010: Range segmentation of large building exteriors: A hierarchical robust approach
* 2011: M-estimator for high breakdown robust estimation in computer vision, An
* 2013: 3D Registration in Dark Environments Using RGB-D Cameras
* 2013: Quantification of Smoothing Requirement for 3D Optic Flow Calculation of Volumetric Images
* 2013: Robust Data Modelling Using Thin Plate Splines
* 2013: Robust Multi-Bernoulli Sensor Selection for Multi-Target Tracking in Sensor Networks
* 2013: Statistical separability of local motions in volumetric images
* 2014: Analysis of planar-motion segmentation using affine fundamental matrix
* 2014: Nonrigid Registration of Volumetric Images Using Ranked Order Statistics
* 2015: Multi-Bernoulli sample consensus for simultaneous robust fitting of multiple structures in machine vision
* 2015: Statistical analysis of three-dimensional optical flow separability in volumetric images
* 2016: MCMC based sampling technique for robust multi-model fitting and visual data segmentation
* 2016: Robust Model Fitting Using Higher Than Minimal Subset Sampling
* 2017: Constrained Sensor Control for Labeled Multi-Bernoulli Filter Using Cauchy-Schwarz Divergence
* 2018: Deep Multi-instance Volumetric Image Classification with Extreme Value Distributions
* 2018: Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting
* 2018: Robust visual data segmentation: Sampling from distribution of model parameters
* 2019: Comparative Analysis of 3D Shape Recognition in the Presence of Data Inaccuracies
* 2019: RETOUCH: The Retinal OCT Fluid Detection and Segmentation Benchmark and Challenge
* 2020: Classification of Volumetric Images Using Multi-Instance Learning and Extreme Value Theorem
* 2020: Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference
* 2021: Consensus Maximisation Using Influences of Monotone Boolean Functions
* 2022: Deep Learning-Based Incorporation of Planar Constraints for Robust Stereo Depth Estimation in Autonomous Vehicle Applications
* 2022: ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
* 2022: Maximum Consensus by Weighted Influences of Monotone Boolean Functions
* 2022: Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications
* 2023: Generalized framework for image and video object segmentation using affinity learning and message passing GNNS
* 2023: Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks, An
* 2023: Interaction-Aware Labeled Multi-Bernoulli Filter
* 2024: Single Domain Generalization via Normalised Cross-correlation Based Convolutions
Includes: Bab Hadiashar, A.[Alireza] Bab-Hadiashar, A.[Alireza] Bab-Hadiashar, A.
54 for Bab Hadiashar, A.