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07/22/2023
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans
Abdominal Aortic Calcification (AAC) is a known marker of asymptomatic A...
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07/12/2023
Single Domain Generalization via Normalised Cross-correlation Based Convolutions
Deep learning techniques often perform poorly in the presence of domain ...
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02/21/2022
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration
With current trends in sensors (cheaper, more volume of data) and applic...
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01/25/2022
A Hybrid Quantum-Classical Algorithm for Robust Fitting
Fitting geometric models onto outlier contaminated data is provably intr...
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01/06/2022
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
State-of-the-art stereo matching networks trained only on synthetic data...
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12/02/2021
Maximum Consensus by Weighted Influences of Monotone Boolean Functions
Robust model fitting is a fundamental problem in computer vision: used t...
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10/25/2021
Event Data Association via Robust Model Fitting for Event-based Object Tracking
Event-based approaches, which are based on bio-inspired asynchronous eve...
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06/15/2021
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
Learning-based stereo matching and depth estimation networks currently e...
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03/06/2021
Consensus Maximisation Using Influences of Monotone Boolean Functions
Consensus maximisation (MaxCon), which is widely used for robust fitting...
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03/05/2021
Unsupervised Learning for Robust Fitting:A Reinforcement Learning Approach
Robust model fitting is a core algorithm in a large number of computer v...
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06/12/2020
Quantum Robust Fitting
Many computer vision applications need to recover structure from imperfe...
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05/11/2020
Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon
This paper outlines connections between Monotone Boolean Functions, LP-T...
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02/14/2020
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking
Event cameras, which are asynchronous bio-inspired vision sensors, have ...
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02/13/2020
Hypergraph Optimization for Multi-structural Geometric Model Fitting
Recently, some hypergraph-based methods have been proposed to deal with ...
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07/25/2018
Deterministic consensus maximization with biconvex programming
Consensus maximization is one of the most widely used robust fitting par...
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05/03/2018
Superpixel-guided Two-view Deterministic Geometric Model Fitting
Geometric model fitting is a fundamental research topic in computer visi...
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02/04/2018
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting
In this paper, we propose a simple and effective geometric model fitting...
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10/27/2017
Deterministic Approximate Methods for Maximum Consensus Robust Fitting
Maximum consensus estimation plays a critically important role in robust...
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07/11/2016
Hypergraph Modelling for Geometric Model Fitting
In this paper, we propose a novel hypergraph based method (called HF) to...
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03/25/2016
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
In this paper, we propose a novel geometric model fitting method, called...
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03/24/2016
Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition
In this paper, we propose an effective feature extraction algorithm, cal...
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11/23/2013
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization
Wepresentanovelcolumngenerationbasedboostingmethod for multi-class class...
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09/07/2013
A General Two-Step Approach to Learning-Based Hashing
Most existing approaches to hashing apply a single form of hash function...
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05/31/2011