David Suter

238 papers A* 31A 9B 15C 6Misc 19Journal 105Unranked 49
YearRankTypeTitle / Venue / Authors
2025 A* conf
Adaptive Graph Attention-Guided Parallel Sampling and Embedded Selection for Multi-Model Fitting.
ACM Multimedia
Wenyu Yin, Shuyuan Lin, David Suter, Hanzi Wang
2025 Misc conf
Estimating Femoral Neck Bone Mineral Density from Distal Radius X-Rays Using Deep Learning.
DICTA
Mohammad Al-Fawa'reh, Brandon Abela, Luke Kelly, Jumana Abu-Khalaf, Martin Masek, David Suter, Ashu Gupta
2025 — conf
From Pixels to Prognosis: A Multi-modal Attention-Based Framework for Visceral Adipose Tissue Estimation.
MICCAI (15)
Arooba Maqsood, Afsah Saleem, Marc Sim, David Suter, Simone Radavelli-Bagatini, Jonathan M. Hodgson, Richard Prince, Kun Zhu, William D. Leslie, John T. Schousboe, Joshua R. Lewis, Syed Zulqarnain Gilani
2025 J jnl
PanoSCU: A Simulation-Based Dataset for Panoramic Indoor Scene Understanding.
IEEE Access
Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn
2025 J jnl
VerteNet - A Multi-Context Hybrid CNN Transformer for Accurate Vertebral Landmark Localization in Lateral Spine DXA Images.
CoRR
Zaid Ilyas, Arooba Maqsood, Afsah Saleem, Erchuan Zhang, David Suter, Parminder Raina, Jonathan M. Hodgson, John T. Schousboe, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani
2024 — conf
A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images.
MICCAI (11)
Zaid Ilyas, Afsah Saleem, David Suter, John T. Schousboe, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani
2024 J jnl
AACLiteNet: A Lightweight Model for Detection of Fine-Grained Abdominal Aortic Calcification.
CoRR
Zaid Ilyas, Afsah Saleem, David Suter, Siobhan Reid, John T. Schousboe, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani
2024 — conf
An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications.
AIME (2)
Brandon Abela, Martin Masek, Jumana Abu-Khalaf, David Suter, Ashu Gupta
2024 A conf
Estimating Blood Alcohol Level Through Facial Features for Driver Impairment Assessment.
WACV
Ensiyeh Keshtkaran, Brodie von Berg, Grant Regan, David Suter, Syed Zulqarnain Gilani
2024 J jnl
GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction.
CoRR
Zaid Ilyas, Naveed Akhtar, David Suter, Syed Zulqarnain Gilani
2024 A conf
Indoor Scene Change Understanding (SCU): Segment, Describe, and Revert Any Change.
IROS
Mariia Khan, Yue Qiu, Yuren Cong, Bodo Rosenhahn, David Suter, Jumana Abu-Khalaf
2024 — conf
Predicting Falls Through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework.
AMAI@MICCAI
Xia Zhang, Afsah Saleem, Zaid Ilyas, David Suter, Uzair Nadeem, Richard Prince, Kun Zhu, Joshua R. Lewis, Marc Sim, Syed Zulqarnain Gilani
2024 B conf
Segment Any Object Model (SAOM): Real-To-Simulation Fine-Tuning Strategy For Multi-Class Multi-Instance Segmentation.
ICIP
Mariia Khan, Yue Qiu, Yuren Cong, Bodo Rosenhahn, Jumana Abu-Khalaf, David Suter
2024 J jnl
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation.
CoRR
Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn
2024 A conf
Single Domain Generalization via Normalised Cross-correlation Based Convolutions.
WACV
Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar
2024 — conf
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation.
ACL (1)
Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter
2024 J jnl
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation.
CoRR
Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter
2024 A conf
StratXplore: Strategic Novelty-seeking and Instruction-aligned Exploration for Vision and Language Navigation.
IROS
Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter, Martin Masek
2024 J jnl
StratXplore: Strategic Novelty-seeking and Instruction-aligned Exploration for Vision and Language Navigation.
CoRR
Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter, Martin Masek
2023 J jnl
A novel convolutional neural network structure for differential diagnosis of wide QRS complex tachycardia.
Biomed. Signal Process. Control.
Najmeh Fayyazifar, Girish Dwivedi, David Suter, Selam T. Ahderom, Andrew Maiorana, Owen Clarkin, Saad Balamane, Nishita Saha, Benjamin King, Martin S. Green, Mehrdad Golian, Benjamin J. W. Chow
2023 J jnl
An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks.
IEEE Trans. Pattern Anal. Mach. Intell.
Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar
2023 J jnl
Generalized framework for image and video object segmentation using affinity learning and message passing GNNS.
Comput. Vis. Image Underst.
Sundaram Muthu, Ruwan B. Tennakoon, Tharindu Rathnayake, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar
2023 — conf
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans.
MICCAI (6)
Afsah Saleem, Zaid Ilyas, David Suter, Ghulam Mubashar Hassan, Siobhan Reid, John T. Schousboe, Richard Prince, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani
2023 J jnl
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans.
CoRR
Afsah Saleem, Zaid Ilyas, David Suter, Ghulam Mubashar Hassan, Siobhan Reid, John T. Schousboe, Richard Prince, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani
2023 J jnl
Single Domain Generalization via Normalised Cross-correlation Based Convolutions.
CoRR
Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar
2023 J jnl
Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach.
IEEE Trans. Pattern Anal. Mach. Intell.
Giang Truong, Huu Le, Erchuan Zhang, David Suter, Syed Zulqarnain Gilani
2023 J jnl
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments.
CoRR
Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter, Sidike Paheding, Nathir A. Rawashdeh
2022 A* conf
A Hybrid Quantum-Classical Algorithm for Robust Fitting.
CVPR
Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
2022 J jnl
A Hybrid Quantum-Classical Algorithm for Robust Fitting.
CoRR
Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
2022 J jnl
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration.
CoRR
Giang Truong, Huu Le, Álvaro Parra, Syed Zulqarnain Gilani, Syed M. S. Islam, David Suter
2022 A* conf
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks.
CVPR
Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter
2022 J jnl
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks.
CoRR
Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter
2022 Misc conf
M3T: Multi-class Multi-instance Multi-view Object Tracking for Embodied AI Tasks.
IVCNZ
Mariia Khan, Jumana M. Abu-Khalaf, David Suter, Bodo Rosenhahn
2022 A* conf
Maximum Consensus by Weighted Influences of Monotone Boolean Functions.
CVPR
Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani
2022 J jnl
Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications.
IEEE Trans. Intell. Transp. Syst.
Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar
2022 — conf
Show, Attend and Detect: Towards Fine-Grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans.
MICCAI (3)
Syed Zulqarnain Gilani, Naeha Sharif, David Suter, John T. Schousboe, Siobhan Reid, William D. Leslie, Joshua R. Lewis
2022 A* conf
Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model.
NeurIPS
Erchuan Zhang, David Suter, Giang Truong, Syed Zulqarnain Gilani
2021 J jnl
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning.
CoRR
Weiqin Chuah, Ruwan B. Tennakoon, Alireza Bab-Hadiashar, David Suter
2021 A* conf
Consensus Maximisation Using Influences of Monotone Boolean Functions.
CVPR
Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
2021 J jnl
Consensus Maximisation Using Influences of Monotone Boolean Functions.
CoRR
Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
2021 J jnl
Deterministic Approximate Methods for Maximum Consensus Robust Fitting.
IEEE Trans. Pattern Anal. Mach. Intell.
Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter
2021 J jnl
Event Data Association via Robust Model Fitting for Event-based Object Tracking.
CoRR
Haosheng Chen, Shuyuan Lin, David Suter, Yan Yan, Hanzi Wang
2021 Misc conf
GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images.
DICTA
Zaid Ilyas, Naeha Sharif, John T. Schousboe, Joshua R. Lewis, David Suter, Syed Zulqarnain Gilani
2021 J jnl
Maximum Consensus by Weighted Influences of Monotone Boolean Functions.
CoRR
Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani
2021 J jnl
Segmentation by Continuous Latent Semantic Analysis for Multi-structure Model Fitting.
Int. J. Comput. Vis.
Guobao Xiao, Hanzi Wang, Jiayi Ma, David Suter
2021 A* conf
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach.
CVPR
Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani
2021 J jnl
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach.
CoRR
Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani
2020 A* conf
End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking.
AAAI
Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang
2020 J jnl
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking.
CoRR
Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang
2020 J jnl
Hypergraph Optimization for Multi-structural Geometric Model Fitting.
CoRR
Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang
2020 — conf
Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals.
CinC
Najmeh Fayyazifar, Selam T. Ahderom, David Suter, Andrew Maiorana, Girish Dwivedi
2020 Misc conf
Learning Affordance Segmentation: An Investigative Study.
DICTA
Chau Nguyen Duc Minh, Syed Zulqarnain Gilani, Syed Mohammed Shamsul Islam, David Suter
2020 J jnl
Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon.
CoRR
David Suter, Ruwan B. Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
2020 J jnl
Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference.
IEEE Trans. Image Process.
Sundaram Muthu, Ruwan B. Tennakoon, Tharindu Rathnayake, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar
2020 — conf
Quantum Robust Fitting.
ACCV (1)
Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach
2020 J jnl
Quantum Robust Fitting.
CoRR
Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach
2019 Misc conf
Fast Point Cloud Registration using Semantic Segmentation.
DICTA
Giang Truong, Syed Zulqarnain Gilani, Syed Mohammed Shamsul Islam, David Suter
2019 A* conf
Hypergraph Optimization for Multi-Structural Geometric Model Fitting.
AAAI
Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang
2019 — ed.
Pattern Recognition and Information Forensics - ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers
CVAUI/IWCF/MIPPSNA@ICPR
Zhaoxiang Zhang, David Suter, Yingli Tian, Alexandra Branzan Albu, Nicolas Sidère, Hugo Jair Escalante
2019 J jnl
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanzi Wang, Guobao Xiao, Yan Yan, David Suter
2019 J jnl
Superpixel-Guided Two-View Deterministic Geometric Model Fitting.
Int. J. Comput. Vis.
Guobao Xiao, Hanzi Wang, Yan Yan, David Suter
2018 — conf
Deterministic Consensus Maximization with Biconvex Programming.
ECCV (12)
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
2018 J jnl
Deterministic consensus maximization with biconvex programming.
CoRR
Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
2018 A conf
Non-smooth M-estimator for Maximum Consensus Estimation.
BMVC
Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter
2018 J jnl
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting.
CoRR
Hanzi Wang, Guobao Xiao, Yan Yan, David Suter
2018 J jnl
Superpixel-guided Two-view Deterministic Geometric Model Fitting.
CoRR
Guobao Xiao, Hanzi Wang, Yan Yan, David Suter
2017 A* conf
An Exact Penalty Method for Locally Convergent Maximum Consensus.
CVPR
Huu Le, Tat-Jun Chin, David Suter
2017 J jnl
Clustering with Hypergraphs: The Case for Large Hyperedges.
IEEE Trans. Pattern Anal. Mach. Intell.
Pulak Purkait, Tat-Jun Chin, Alireza Sadri, David Suter
2017 J jnl
Deterministic Approximate Methods for Maximum Consensus Robust Fitting.
CoRR
Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter
2017 J jnl
Efficient Globally Optimal Consensus Maximisation with Tree Search.
IEEE Trans. Pattern Anal. Mach. Intell.
Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter
2017 J jnl
Efficient guided hypothesis generation for multi-structure epipolar geometry estimation.
Comput. Vis. Image Underst.
Taotao Lai, Hanzi Wang, Yan Yan, Guobao Xiao, David Suter
2017 A* conf
Quasiconvex Plane Sweep for Triangulation with Outliers.
ICCV
Qianggong Zhang, Tat-Jun Chin, David Suter
2017 Misc conf
RATSAC - Random Tree Sampling for Maximum Consensus Estimation.
DICTA
Huu Le, Tat-Jun Chin, David Suter
2017 Misc conf
Region of Interest Autoencoders with an Application to Pedestrian Detection.
DICTA
Jerome Williams, Gustavo Carneiro, David Suter
2017 — book
The Maximum Consensus Problem: Recent Algorithmic Advances
Tat-Jun Chin, David Suter
2016 A* conf
Conformal Surface Alignment with Optimal Möbius Search.
CVPR
Huu Le, Tat-Jun Chin, David Suter
2016 J jnl
Fast Rotation Search with Stereographic Projections for 3D Registration.
IEEE Trans. Pattern Anal. Mach. Intell.
Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Hongdong Li, David Suter
2016 J jnl
Hypergraph Modelling for Geometric Model Fitting.
CoRR
Guobao Xiao, Hanzi Wang, Taotao Lai, David Suter
2016 J jnl
Hypergraph modelling for geometric model fitting.
Pattern Recognit.
Guobao Xiao, Hanzi Wang, Taotao Lai, David Suter
2016 J jnl
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting.
CoRR
Hanzi Wang, Guobao Xiao, Yan Yan, David Suter
2016 J jnl
Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition.
CoRR
Yan Yan, Hanzi Wang, David Suter
2016 J jnl
Robust Model Fitting Using Higher Than Minimal Subset Sampling.
IEEE Trans. Pattern Anal. Mach. Intell.
Ruwan B. Tennakoon, Alireza Bab-Hadiashar, Zhenwei Cao, Reza Hoseinnezhad, David Suter
2016 — conf
Superpixel-Based Two-View Deterministic Fitting for Multiple-Structure Data.
ECCV (6)
Guobao Xiao, Hanzi Wang, Yan Yan, David Suter
2016 J jnl
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data.
CoRR
Guobao Xiao, Hanzi Wang, Yan Yan, David Suter
2015 A* conf
Efficient globally optimal consensus maximisation with tree search.
CVPR
Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter
2015 A* conf
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting.
ICCV
Hanzi Wang, Guobao Xiao, Yan Yan, David Suter
2015 — conf
Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines.
IPTA
Marjan Hadian Jazi, Alireza Bab-Hadiashar, Reza Hoseinnezhad, David Suter
2014 J jnl
An Adversarial Optimization Approach to Efficient Outlier Removal.
J. Math. Imaging Vis.
Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter
2014 J jnl
As-Projective-As-Possible Image Stitching with Moving DLT.
IEEE Trans. Pattern Anal. Mach. Intell.
Julio Zaragoza, Tat-Jun Chin, Quoc-Huy Tran, Michael S. Brown, David Suter
2014 — conf
Clustering with Hypergraphs: The Case for Large Hyperedges.
ECCV (4)
Pulak Purkait, Tat-Jun Chin, Hanno Ackermann, David Suter
2014 A* conf
Fast Rotation Search with Stereographic Projections for 3D Registration.
CVPR
Álvaro Joaquin Parra Bustos, Tat-Jun Chin, David Suter
2014 A* conf
Fast Supervised Hashing with Decision Trees for High-Dimensional Data.
CVPR
Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter
2014 J jnl
Fast Supervised Hashing with Decision Trees for High-Dimensional Data.
CoRR
Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter
2014 — conf
Fast rotation search for real-time interactive point cloud registration.
I3D
Tat-Jun Chin, Álvaro Parra Bustos, Michael S. Brown, David Suter
2014 J jnl
Interacting Geometric Priors For Robust Multimodel Fitting.
IEEE Trans. Image Process.
Trung-Thanh Pham, Tat-Jun Chin, Konrad Schindler, David Suter
2014 J jnl
Multi-subregion based correlation filter bank for robust face recognition.
Pattern Recognit.
Yan Yan, Hanzi Wang, David Suter
2014 J jnl
Sampling Minimal Subsets with Large Spans for Robust Estimation.
Int. J. Comput. Vis.
Quoc-Huy Tran, Tat-Jun Chin, Wojciech Chojnacki, David Suter
2014 J jnl
The Random Cluster Model for Robust Geometric Fitting.
IEEE Trans. Pattern Anal. Mach. Intell.
Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter
2013 A* conf
A General Two-Step Approach to Learning-Based Hashing.
ICCV
Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel
2013 J jnl
A General Two-Step Approach to Learning-Based Hashing.
CoRR
Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel
2013 J jnl
A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements.
IEEE J. Sel. Top. Signal Process.
Thuraiappah Sathyan, Tat-Jun Chin, Sanjeev Arulampalam, David Suter
2013 J jnl
A simultaneous sample-and-filter strategy for robust multi-structure model fitting.
Comput. Vis. Image Underst.
Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2013 A* conf
As-Projective-As-Possible Image Stitching with Moving DLT.
CVPR
Julio Zaragoza, Tat-Jun Chin, Michael S. Brown, David Suter
2013 J jnl
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization.
CoRR
Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter
2013 C conf
Improved wireless tracking using radio frequency and video sensors.
FUSION
Thuraiappah Sathyan, Tat-Jun Chin, David Suter, Mark Hedley
2013 J jnl
Mode seeking over permutations for rapid geometric model fitting.
Pattern Recognit.
Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2013 Misc conf
Point Correspondence Validation under Unknown Radial Distortion.
DICTA
William X. Liu, Tat-Jun Chin, Gustavo Carneiro, David Suter
2013 Misc conf
Robust Data Modelling Using Thin Plate Splines.
DICTA
Ruwan B. Tennakoon, Alireza Bab-Hadiashar, David Suter, Zhenwei Cao
2012 J jnl
Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis.
IEEE Trans. Pattern Anal. Mach. Intell.
Tat-Jun Chin, Jin Yu, David Suter
2012 Misc conf
Adaptive human silhouette reconstruction based on the exploration of temporal information.
ICASSP
Xue Zhou, Xi Li, Tat-Jun Chin, David Suter
2012 — conf
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization.
ACCV (2)
Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter
2012 — conf
In Defence of RANSAC for Outlier Rejection in Deformable Registration.
ECCV (4)
Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter
2012 J jnl
Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'".
IEEE Trans. Signal Process.
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter
2012 J jnl
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanzi Wang, Tat-Jun Chin, David Suter
2012 B conf
Superpixel-driven level set tracking.
ICIP
Xue Zhou, Xi Li, Tat-Jun Chin, David Suter
2012 A* conf
The Random Cluster Model for robust geometric fitting.
CVPR
Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter
2012 J jnl
Visual tracking of numerous targets via multi-Bernoulli filtering of image data.
Pattern Recognit.
Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter
2011 A* conf
A global optimization approach to robust multi-model fitting.
CVPR
Jin Yu, Tat-Jun Chin, David Suter
2011 A* conf
An adversarial optimization approach to efficient outlier removal.
ICCV
Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter
2011 Misc conf
Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter.
ICASSP
Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter
2011 J jnl
Boosting histograms of descriptor distances for scalable multiclass specific scene recognition.
Image Vis. Comput.
Tat-Jun Chin, David Suter, Hanzi Wang
2011 A* conf
Dynamic and hierarchical multi-structure geometric model fitting.
ICCV
Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2011 J jnl
Incremental Top-k List Comparison Approach to Robust Multi-Structure Model Fitting
CoRR
Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2011 J jnl
Recognition of adult images, videos, and web page bags.
ACM Trans. Multim. Comput. Commun. Appl.
Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, David Suter
2011 — conf
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC.
NIPS
Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter
2010 — conf
A Gradient-Based Metric Learning Algorithm for k-NN Classifiers.
Australasian Conference on Artificial Intelligence
Nayyar Abbas Zaidi, David McG. Squire, David Suter
2010 — conf
Accelerated Hypothesis Generation for Multi-structure Robust Fitting.
ECCV (5)
Tat-Jun Chin, Jin Yu, David Suter
2010 — conf
BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification.
PAKDD (1)
Nayyar Abbas Zaidi, David McG. Squire, David Suter
2010 — conf
Efficient Multi-structure Robust Fitting with Incremental Top-
ACCV (4)
Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2010 J jnl
Finite Sample Bias of Robust Estimators in Segmentation of Closely Spaced Structures: A Comparative Study.
J. Math. Imaging Vis.
Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter
2010 J jnl
Joint detection and estimation of multiple objects from image observations.
IEEE Trans. Signal Process.
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter
2010 — ch.
KSM Based Machine Learning for Markerless Motion Capture.
Machine Learning for Human Motion Analysis
Therdsak Tangkuampien, David Suter
2010 Misc conf
Multi-object filtering from image sequence without detection.
ICASSP
Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuong Vo
2010 A* conf
Multi-structure model selection via kernel optimisation.
CVPR
Tat-Jun Chin, David Suter, Hanzi Wang
2010 Misc conf
Visual localization and segmentation based on foreground/background modeling.
ICASSP
Hanzi Wang, Tat-Jun Chin, David Suter
2009 J jnl
3D terrestrial LIDAR classifications with super-voxels and multi-scale Conditional Random Fields.
Comput. Aided Des.
Ee Hui Lim, David Suter
2009 C conf
Bayesian multi-object estimation from image observations.
FUSION
Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter
2009 J jnl
Error Analysis in Homography Estimation by First Order Approximation Tools: A General Technique.
J. Math. Imaging Vis.
Pei Chen, David Suter
2009 J jnl
Human action recognition by feature-reduced Gaussian process classification.
Pattern Recognit. Lett.
Hang Zhou, Liang Wang, David Suter
2009 A* conf
Keypoint induced distance profiles for visual recognition.
CVPR
Tat-Jun Chin, David Suter
2009 J jnl
Rank Constraints for Homographies over Two Views: Revisiting the Rank Four Constraint.
Int. J. Comput. Vis.
Pei Chen, David Suter
2009 A* conf
Robust fitting of multiple structures: The statistical learning approach.
ICCV
Tat-Jun Chin, Hanzi Wang, David Suter
2009 J jnl
Simultaneously Estimating the Fundamental Matrix and Homographies.
IEEE Trans. Robotics
Pei Chen, David Suter
2009 — conf
The Ordered Residual Kernel for Robust Motion Subspace Clustering.
NIPS
Tat-Jun Chin, Hanzi Wang, David Suter
2008 J jnl
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences.
Int. J. Comput. Vis.
Konrad Schindler, David Suter, Hanzi Wang
2008 B conf
Confidence rated boosting algorithm for generic object detection.
ICPR
Nayyar Abbas Zaidi, David Suter
2008 B conf
Human motion recognition using Gaussian Processes classification.
ICPR
Hang Zhou, Liang Wang, David Suter
2008 A* conf
Improved building detection by Gaussian processes classification via feature space rescale and spectral kernel selection.
CVPR
Hang Zhou, David Suter
2008 B conf
Improving Gaussian processes classification by spectral data reorganizing.
ICPR
Hang Zhou, David Suter
2008 C conf
Keynote I: High dimensional data analysis in Computer Vision.
CIT
David Suter
2008 B conf
Manifold optimisation for motion factorisation.
ICPR
Appu Shaji, Sharat Chandran, David Suter
2008 — conf
Multi-scale Conditional Random Fields for over-segmented irregular 3D point clouds classification.
CVPR Workshops
Ee Hui Lim, David Suter
2008 Misc conf
Object Detection Using a Cascade of Classifiers.
DICTA
Nayyar Abbas Zaidi, David Suter
2008 J jnl
Object detection by global contour shape.
Pattern Recognit.
Konrad Schindler, David Suter
2008 J jnl
Out-of-Sample Extrapolation of Learned Manifolds.
IEEE Trans. Pattern Anal. Mach. Intell.
Tat-Jun Chin, David Suter
2008 J jnl
Visual learning and recognition of sequential data manifolds with applications to human movement analysis.
Comput. Vis. Image Underst.
Liang Wang, David Suter
2007 J jnl
A Bilinear Approach to the Parameter Estimation of a General Heteroscedastic Linear System, with Application to Conic Fitting.
J. Math. Imaging Vis.
Pei Chen, David Suter
2007 — conf
A comparision of model-based methods for knee cartilage segmentation.
VISAPP (1)
James Cheong, Nathan Faggian, Georg Langs, David Suter, Flavia M. Cicuttini
2007 J jnl
A consensus-based method for tracking: Modelling background scenario and foreground appearance.
Pattern Recognit.
Hanzi Wang, David Suter
2007 J jnl
Adaptive Object Tracking Based on an Effective Appearance Filter.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanzi Wang, David Suter, Konrad Schindler, Chunhua Shen
2007 J jnl
Colour Correction for Multiple-camera System by Using Correspondences.
Inf. Media Technol.
Kenji Yamamoto, Tomohiro Yendo, Toshiaki Fujii, Masayuki Tanimoto, David Suter
2007 C conf
Conditional Random Field for 3D Point Clouds with Adaptive Data Reduction.
CW
Ee Hui Lim, David Suter
2007 — conf
Extrapolating Learned Manifolds for Human Activity Recognition.
ICIP (1)
Tat-Jun Chin, Liang Wang, Konrad Schindler, David Suter
2007 A* conf
Fast Sparse Gaussian Processes Learning for Man-Made Structure Classification.
CVPR
Hang Zhou, David Suter
2007 A conf
Human Pose Extraction from Monocular Videos using Constrained Non-Rigid Factorization.
BMVC
Appu Shaji, Behjat Siddiquie, Sharat Chandran, David Suter
2007 J jnl
Incremental Kernel Principal Component Analysis.
IEEE Trans. Image Process.
Tat-Jun Chin, David Suter
2007 J jnl
Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition.
IEEE Trans. Image Process.
Liang Wang, David Suter
2007 — conf
Man-Made Structure Segmentation using Gaussian Processes and Wavelet Features.
ICIP (4)
Hang Zhou, David Suter
2007 A* conf
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model.
CVPR
Liang Wang, David Suter
2006 A conf
3D Object Pose Inference via Kernel Principal Component Analysis with Image Euclidian Distance (IMED).
BMVC
Therdsak Tangkuampien, David Suter
2006 B conf
A Compact Architecture for Wireless Video Surveillance over CDMA Network.
AVSS
Hang Zhou, David Suter
2006 — conf
A New Distance Criterion for Face Recognition Using Image Sets.
ACCV (1)
Tat-Jun Chin, David Suter
2006 — conf
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance.
ACCV (1)
Hanzi Wang, David Suter
2006 J jnl
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition.
Int. J. Comput. Vis.
Pei Chen, David Suter
2006 B conf
Analyzing Human Movements from Silhouettes Using Manifold Learning.
AVSS
Liang Wang, David Suter
2006 — conf
Background Subtraction Based on a Robust Consensus Method.
ICPR (1)
Hanzi Wang, David Suter
2006 — conf
Color correction for multi-camera system by using correspondences.
SIGGRAPH Research Posters
Kenji Yamamoto, Tomohiro Yendo, Toshiaki Fujii, Masayuki Tanimoto, David Suter
2006 — conf
Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking.
ECCV (3)
Hanzi Wang, David Suter, Konrad Schindler
2006 — conf
Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues.
ICPR (4)
Hanzi Wang, David Suter
2006 — conf
Feature Detection with an Improved Anisotropic Filter.
ACCV (2)
Mohamed Gobara, David Suter
2006 — conf
Finite Sample Bias of Robust Scale Estimators in Computer Vision Problems.
ISVC (1)
Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter
2006 — conf
Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering.
ICPR (3)
Therdsak Tangkuampien, David Suter
2006 B conf
Improving the Speed of Kernel PCA on Large Scale Datasets.
AVSS
Tat-Jun Chin, David Suter
2006 A conf
Incremental Kernel PCA for Efficient Non-linear Feature Extraction.
BMVC
Tat-Jun Chin, David Suter
2006 — conf
Incremental Kernel SVD for Face Recognition with Image Sets.
FGR
Tat-Jun Chin, Konrad Schindler, David Suter
2006 — conf
Informative Shape Representations for Human Action Recognition.
ICPR (2)
Liang Wang, David Suter
2006 J jnl
Parametric model-based motion segmentation using surface selection criterion.
Comput. Vis. Image Underst.
Niloofar Gheissari, Alireza Bab-Hadiashar, David Suter
2006 A conf
Real-Time Human Pose Inference using Kernel Principal Component Pre-image Approximations.
BMVC
Therdsak Tangkuampien, David Suter
2006 J jnl
Two-View Multibody Structure-and-Motion with Outliers through Model Selection.
IEEE Trans. Pattern Anal. Mach. Intell.
Konrad Schindler, David Suter
2005 — conf
A re-evaluation of mixture of Gaussian background modeling [video signal processing applications].
ICASSP (2)
Hanzi Wang, David Suter
2005 Misc conf
Development of Semi-Automatic Segmentation Methods for Measuring Tibial Cartilage Volume.
DICTA
James Cheong, David Suter, Flavia M. Cicuttini
2005 Misc conf
Face Recognition from Video by Matching Image Sets.
DICTA
Tat-Jun Chin, James U, Konrad Schindler, David Suter
2005 J jnl
Object tracking in image sequences using point features.
Pattern Recognit.
Prithiraj Tissainayagam, David Suter
2005 J jnl
Subspace-based face recognition: outlier detection and a new distance criterion.
Int. J. Pattern Recognit. Artif. Intell.
Pei Chen, David Suter
2005 — conf
Tracking and segmenting people with occlusions by a sample consensus based method.
ICIP (2)
Hanzi Wang, David Suter
2005 — conf
Two-View Multibody Structure-and-Motion with Outliers.
CVPR (2)
Konrad Schindler, David Suter
2004 J jnl
Assessing the performance of corner detectors for point feature tracking applications.
Image Vis. Comput.
Prithiraj Tissainayagam, David Suter
2004 J jnl
MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation.
Int. J. Comput. Vis.
Hanzi Wang, David Suter
2004 J jnl
Recovering the Missing Components in a Large Noisy Low-Rank Matrix: Application to SFM.
IEEE Trans. Pattern Anal. Mach. Intell.
Pei Chen, David Suter
2004 J jnl
Robust Adaptive-Scale Parametric Model Estimation for Computer Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
Hanzi Wang, David Suter
2004 — conf
Robust Fitting by Adaptive-Scale Residual Consensus.
ECCV (3)
Hanzi Wang, David Suter
2004 B conf
Shift-invariant wavelet denoising using interscale dependency.
ICIP
Pei Chen, David Suter
2004 J jnl
Special issue on statistical methods in video processing.
Image Vis. Comput.
David Suter, Dorin Comaniciu, Ken-ichi Kanatani
2004 — ed.
Statistical Methods in Video Processing, ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers
ECCV Workshop SMVP
Dorin Comaniciu, Ken-ichi Kanatani, Rudolf Mester, David Suter
2003 Misc conf
Color Image Segmentation Using Global Information and Local Homogeneity.
DICTA
Hanzi Wang, David Suter
2003 J jnl
Contour tracking with automatic motion model switching.
Pattern Recognit.
Prithiraj Tissainayagam, David Suter
2003 Misc conf
False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation.
DICTA
Hanzi Wang, David Suter
2003 J jnl
Using symmetry in robust model fitting.
Pattern Recognit. Lett.
Hanzi Wang, David Suter
2003 A* conf
Variable Bandwidth QMDPE and Its Application in Robust Optical Flow Estimation.
ICCV
Hanzi Wang, David Suter
2002 C conf
A novel robust method for large numbers of gross errors.
ICARCV
Hanzi Wang, David Suter
2002 — conf
Application of Rigid Motion Geometry to Film Restoration.
ICPR (1)
Samia Boukir, David Suter
2002 C conf
LTSD: a highly efficient symmetry-based robust estimator.
ICARCV
Hanzi Wang, David Suter
2002 J jnl
Performance Measures for Assessing Contour Trackers.
Int. J. Image Graph.
Prithiraj Tissainayagam, David Suter
2002 — conf
Robust Model Based Motion Segmentation.
ICPR (2)
Alireza Bab-Hadiashar, Niloofar Gheissari, David Suter
2002 J jnl
Special Issue of Selected Papers from the 5th Asian Conference in Computer Vision, Melbourne, Australia, 22-25 January 2002.
Int. J. Image Graph.
David Suter
2002 — conf
Visual servo control using homography estimation for the stabilization of an X4-flyer.
CDC
David Suter, Tarek Hamel, Robert E. Mahony
2001 J jnl
Performance Prediction Analysis of a Point Feature Tracker Based on Different Motion Models.
Comput. Vis. Image Underst.
Prithiraj Tissainayagam, David Suter
2001 J jnl
Visual tracking with automatic motion model switching.
Pattern Recognit.
Prithiraj Tissainayagam, David Suter
2000 J jnl
Left Ventricular Motion Reconstruction Based on Elastic Vector Splines.
IEEE Trans. Medical Imaging
David Suter, Fang Chen
2000 B conf
Visual Tracking of Multiple Objects with Automatic Motion Model Switching.
ICPR
Prithiraj Tissainayagam, David Suter
1999 J jnl
Robust segmentation of visual data using ranked unbiased scale estimate.
Robotica
Alireza Bab-Hadiashar, David Suter
1998 J jnl
Fast Evaluation of Vector Splines in Three Dimensions.
Computing
Fang Chen, David Suter
1998 B conf
Image coordinate transformation based on DIV-CURL vector splines.
ICPR
Fang Chen, David Suter
1998 — conf
Multiscale Image Representation and Edge Detection.
ACCV (2)
Fang Chen, David Suter
1998 — conf
Robust Motion Segmentation Using Rank Ordering Estimatiors.
ACCV (2)
Alireza Bab-Hadiashar, David Suter
1998 J jnl
Robust Optic Flow Computation.
Int. J. Comput. Vis.
Alireza Bab-Hadiashar, David Suter
1998 — conf
Robust Total least Squares Based Optic Flow Computation.
ACCV (1)
Alireza Bab-Hadiashar, David Suter
1998 B conf
Robust range segmentation.
ICPR
Alireza Bab-Hadiashar, David Suter
1998 Misc conf
Visual Feature Tracking with Automatic Motion Model Switching.
MVA
Prithiraj Tissainayagam, David Suter
1998 B conf
Visual tracking and motion determination using the IMM algorithm.
ICPR
Prithiraj Tissainayagam, David Suter
1997 A* conf
Optic flow calculation using robust statistics.
CVPR
Alireza Bab-Hadiashar, David Suter
1996 — conf
Robust optic flow estimation using least median of squares.
ICIP (1)
Alireza Bab-Hadiashar, David Suter
1995 B conf
Restoration of historic film for digital compression: a case study.
ICIP
P. Richardson, David Suter
1994 A* conf
Motion estimation and vector splines.
CVPR
David Suter
1992 J jnl
Mixed Finite Element Based Neural Networks in Visual Reconstruction.
Int. J. Pattern Recognit. Artif. Intell.
David Suter
1991 J jnl
Constraint Networks in Vision.
IEEE Trans. Computers
David Suter
1990 J jnl
Optimal topologies of transputers for different classes of problems.
Comput. Syst. Sci. Eng.
X. L. Deng, Tharam S. Dillon, Ken S. Lew, J. Rankin, E. Smith, David Suter
1988 — conf
Incorporating Knowledge via Regularization Theory: Applications in Vision and Image Processing.
Australian Joint Conference on Artificial Intelligence
David Suter, Harvey A. Cohen