David Suter
25 papers · 2009–2025 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (56) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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(6)
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(12)
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Century Club Β· Bronze
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(131)
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(6)
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Research topics
Machine Learning
(16)
Computer Vision
(13)
Analysis
(12)
Mathematics & Optimization
(11)
Optimization
(8)
Core Methods
(7)
Optimization & Theory
(7)
Deep Learning
(6)
Mathematics
(5)
Computer Science
(4)
Core AI
(4)
Application Areas
(3)
Learning Types
(3)
Artificial Intelligence
(2)
Applications
(2)
Keywords
robust fitting
(5)
outlier detection
(3)
model fitting
(3)
computer vision
(3)
robust estimation
(3)
spectral clustering
(2)
combinatorial optimization
(2)
consensus maximisation
(2)
monotone boolean function
(2)
domain generalization
(2)
geometric model fitting
(2)
global optimization
(2)
robust model fitting
(2)
maximum consensus
(2)
bayesian inference
(1)
shortcut learning
(1)
binary classification
(1)
image classification
(1)
robust statistics
(1)
vision-language navigation
(1)
Papers
From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation
MICCAI 2025
A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images
MICCAI 2024
Estimating Blood Alcohol Level Through Facial Features for Driver Impairment Assessment
WACV 2024
Single Domain Generalization via Normalised Cross-Correlation Based Convolutions
WACV 2024
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation
ACL 2024
A Hybrid Quantum-Classical Algorithm for Robust Fitting
CVPR 2022
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
CVPR 2022
Maximum Consensus by Weighted Influences of Monotone Boolean Functions
CVPR 2022
Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model
NeurIPS 2022
Consensus Maximisation Using Influences of Monotone Boolean Functions
CVPR 2021
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach
CVPR 2021
End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking
AAAI 2020
Hypergraph Optimization for Multi-Structural Geometric Model Fitting
AAAI 2019
Deterministic Consensus Maximization with Biconvex Programming
ECCV 2018
An Exact Penalty Method for Locally Convergent Maximum Consensus
CVPR 2017
Quasiconvex Plane Sweep for Triangulation With Outliers
ICCV 2017
Conformal Surface Alignment With Optimal Mobius Search
CVPR 2016
Efficient Globally Optimal Consensus Maximisation With Tree Search
CVPR 2015
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting
ICCV 2015
Fast Rotation Search with Stereographic Projections for 3D Registration
CVPR 2014
Fast Supervised Hashing with Decision Trees for High-Dimensional Data
CVPR 2014
A General Two-Step Approach to Learning-Based Hashing
ICCV 2013
As-Projective-As-Possible Image Stitching with Moving DLT
CVPR 2013
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
NeurIPS 2011
The Ordered Residual Kernel for Robust Motion Subspace Clustering
NeurIPS 2009