← Authors

David Suter

25 papers · 2009–2025 · 8 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (13) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (60) 🌍 Conference Polyglot (8) πŸƒ Academic Marathon (16) 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (12) 🌱 Topic Pioneer πŸ† Keyword Champion (3) πŸ’Ž Century Club (25) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (126) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10)

Conferences

CVPR (11) ICCV (3) NIPS (3) AAAI (2) MICCAI (2) WACV (2) ACL (1) ECCV (1)

Top co-authors

Tat-jun Chin (12) Syed Zulqarnain Gilani (6) Huu Le (4) Ruwan Tennakoon (4) Hanzi Wang (4) Erchuan Zhang (4) Alireza Bab-Hadiashar (4) Giang Truong (3) Joshua R. Lewis (2) Anton van den Hengel (2)

Research topics

Analysis (1)

Keywords

robust fitting (5) computer vision (3) model fitting (3) robust estimation (3) outlier detection (3) spectral clustering (2) combinatorial optimization (2) monotone boolean function (2) consensus maximisation (2) domain generalization (2) geometric model fitting (2) global optimization (2) maximum consensus (2) bayesian inference (1) shortcut learning (1) binary classification (1) image classification (1) robust statistics (1) vision-language navigation (1) deep reinforcement learning (1)

Papers

From Pixels to Prognosis: A Multi-Modal Attention-based Framework for Visceral Adipose Tissue Estimation MICCAI 2025
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation ACL 2024
A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images MICCAI 2024
Single Domain Generalization via Normalised Cross-Correlation Based Convolutions WACV 2024
Estimating Blood Alcohol Level Through Facial Features for Driver Impairment Assessment WACV 2024
A Hybrid Quantum-Classical Algorithm for Robust Fitting CVPR 2022
Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model NIPS 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
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach CVPR 2021
Consensus Maximisation Using Influences of Monotone Boolean Functions 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 Supervised Hashing with Decision Trees for High-Dimensional Data CVPR 2014
Fast Rotation Search with Stereographic Projections for 3D Registration CVPR 2014
As-Projective-As-Possible Image Stitching with Moving DLT CVPR 2013
A General Two-Step Approach to Learning-Based Hashing ICCV 2013
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC NIPS 2011
The Ordered Residual Kernel for Robust Motion Subspace Clustering NIPS 2009