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2020 – today
- 2024
[c122]Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter:
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation. ACL (1) 2024: 13601-13614- [c121]Brandon Abela, Martin Masek, Jumana Abu-Khalaf, David Suter, Ashu Gupta:
An Exploration of Diabetic Foot Osteomyelitis X-ray Data for Deep Learning Applications. AIME (2) 2024: 30-39 - [c120]Zaid Ilyas, Afsah Saleem, David Suter, John T. Schousboe, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani:
A Hybrid CNN-Transformer Feature Pyramid Network for Granular Abdominal Aortic Calcification Detection from DXA Images. MICCAI (11) 2024: 14-25 - [c119]Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar:
Single Domain Generalization via Normalised Cross-correlation Based Convolutions. WACV 2024: 1741-1750 - [c118]Ensiyeh Keshtkaran, Brodie von Berg, Grant Regan, David Suter, Syed Zulqarnain Gilani:
Estimating Blood Alcohol Level Through Facial Features for Driver Impairment Assessment. WACV 2024: 4527-4536 - [i32]Mariia Khan, Yue Qiu, Yuren Cong, Jumana Abu-Khalaf, David Suter, Bodo Rosenhahn:
Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation. CoRR abs/2403.10780 (2024) - [i31]Muraleekrishna Gopinathan, Martin Masek, Jumana Abu-Khalaf, David Suter:
Spatially-Aware Speaker for Vision-and-Language Navigation Instruction Generation. CoRR abs/2409.05583 (2024) - [i30]Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter, Martin Masek:
StratXplore: Strategic Novelty-seeking and Instruction-aligned Exploration for Vision and Language Navigation. CoRR abs/2409.05593 (2024) - [i29]Zaid Ilyas, Afsah Saleem, David Suter, Siobhan Reid, John T. Schousboe, William D. Leslie, Joshua R. Lewis, Syed Zulqarnain Gilani:
AACLiteNet: A Lightweight Model for Detection of Fine-Grained Abdominal Aortic Calcification. CoRR abs/2409.17203 (2024) - [i28]Zaid Ilyas, Naveed Akhtar, David Suter, Syed Zulqarnain Gilani:
GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction. CoRR abs/2410.00380 (2024) - 2023
- [j71]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:
A novel convolutional neural network structure for differential diagnosis of wide QRS complex tachycardia. Biomed. Signal Process. Control. 81: 104506 (2023) - [j70]Sundaram Muthu, Ruwan B. Tennakoon, Tharindu Rathnayake, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar:
Generalized framework for image and video object segmentation using affinity learning and message passing GNNS. Comput. Vis. Image Underst. 236: 103812 (2023) - [j69]Giang Truong, Huu Le, Erchuan Zhang, David Suter, Syed Zulqarnain Gilani:
Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning Approach. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3890-3903 (2023) - [j68]Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar:
An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 10615-10631 (2023) - [c117]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:
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans. MICCAI (6) 2023: 273-283 - [i27]Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar:
Single Domain Generalization via Normalised Cross-correlation Based Convolutions. CoRR abs/2307.05901 (2023) - [i26]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:
SCOL: Supervised Contrastive Ordinal Loss for Abdominal Aortic Calcification Scoring on Vertebral Fracture Assessment Scans. CoRR abs/2307.12006 (2023) - [i25]Muraleekrishna Gopinathan, Jumana Abu-Khalaf, David Suter, Sidike Paheding, Nathir A. Rawashdeh:
What Is Near?: Room Locality Learning for Enhanced Robot Vision-Language-Navigation in Indoor Living Environments. CoRR abs/2309.05036 (2023) - 2022
- [j67]Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar:
Semantic Guided Long Range Stereo Depth Estimation for Safer Autonomous Vehicle Applications. IEEE Trans. Intell. Transp. Syst. 23(10): 18916-18926 (2022) - [c116]Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CVPR 2022: 417-427 - [c115]Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani:
Maximum Consensus by Weighted Influences of Monotone Boolean Functions. CVPR 2022: 8954-8962 - [c114]Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter:
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks. CVPR 2022: 13012-13022 - [c113]Mariia Khan, Jumana M. Abu-Khalaf, David Suter, Bodo Rosenhahn:
M3T: Multi-class Multi-instance Multi-view Object Tracking for Embodied AI Tasks. IVCNZ 2022: 246-261 - [c112]Syed Zulqarnain Gilani, Naeha Sharif, David Suter, John T. Schousboe, Siobhan Reid, William D. Leslie, Joshua R. Lewis:
Show, Attend and Detect: Towards Fine-Grained Assessment of Abdominal Aortic Calcification on Vertebral Fracture Assessment Scans. MICCAI (3) 2022: 439-450 - [c111]Erchuan Zhang, David Suter, Giang Truong, Syed Zulqarnain Gilani:
Sparse Hypergraph Community Detection Thresholds in Stochastic Block Model. NeurIPS 2022 - [i24]Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter:
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks. CoRR abs/2201.02263 (2022) - [i23]Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CoRR abs/2201.10110 (2022) - [i22]Giang Truong, Huu Le, Álvaro Parra, Syed Zulqarnain Gilani, Syed M. S. Islam, David Suter:
Fast Semantic-Assisted Outlier Removal for Large-scale Point Cloud Registration. CoRR abs/2202.10579 (2022) - 2021
- [j66]Guobao Xiao, Hanzi Wang, Jiayi Ma, David Suter:
Segmentation by Continuous Latent Semantic Analysis for Multi-structure Model Fitting. Int. J. Comput. Vis. 129(7): 2034-2056 (2021) - [j65]Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter:
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 43(3): 842-857 (2021) - [c110]Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar:
Consensus Maximisation Using Influences of Monotone Boolean Functions. CVPR 2021: 2866-2875 - [c109]Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani:
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach. CVPR 2021: 10348-10357 - [c108]Zaid Ilyas, Naeha Sharif, John T. Schousboe, Joshua R. Lewis, David Suter, Syed Zulqarnain Gilani:
GuideNet: Learning Inter- Vertebral Guides in DXA Lateral Spine Images. DICTA 2021: 1-7 - [i21]Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani:
Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach. CoRR abs/2103.03501 (2021) - [i20]Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar:
Consensus Maximisation Using Influences of Monotone Boolean Functions. CoRR abs/2103.04200 (2021) - [i19]Weiqin Chuah, Ruwan B. Tennakoon, Alireza Bab-Hadiashar, David Suter:
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning. CoRR abs/2106.08486 (2021) - [i18]Haosheng Chen, Shuyuan Lin, David Suter, Yan Yan, Hanzi Wang:
Event Data Association via Robust Model Fitting for Event-based Object Tracking. CoRR abs/2110.12962 (2021) - [i17]Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani:
Maximum Consensus by Weighted Influences of Monotone Boolean Functions. CoRR abs/2112.00953 (2021) - 2020
- [j64]Sundaram Muthu, Ruwan B. Tennakoon, Tharindu Rathnayake, Reza Hoseinnezhad, David Suter, Alireza Bab-Hadiashar:
Motion Segmentation of RGB-D Sequences: Combining Semantic and Motion Information Using Statistical Inference. IEEE Trans. Image Process. 29: 5557-5570 (2020) - [c107]Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang:
End-to-End Learning of Object Motion Estimation from Retinal Events for Event-Based Object Tracking. AAAI 2020: 10534-10541 - [c106]Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach:
Quantum Robust Fitting. ACCV (1) 2020: 485-499 - [c105]Najmeh Fayyazifar, Selam T. Ahderom, David Suter, Andrew Maiorana, Girish Dwivedi:
Impact of Neural Architecture Design on Cardiac Abnormality Classification Using 12-lead ECG Signals. CinC 2020: 1-4 - [c104]Chau Nguyen Duc Minh, Syed Zulqarnain Gilani, Syed Mohammed Shamsul Islam, David Suter:
Learning Affordance Segmentation: An Investigative Study. DICTA 2020: 1-8 - [i16]Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang:
Hypergraph Optimization for Multi-structural Geometric Model Fitting. CoRR abs/2002.05350 (2020) - [i15]Haosheng Chen, David Suter, Qiangqiang Wu, Hanzi Wang:
End-to-end Learning of Object Motion Estimation from Retinal Events for Event-based Object Tracking. CoRR abs/2002.05911 (2020) - [i14]David Suter, Ruwan B. Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar:
Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon. CoRR abs/2005.05490 (2020) - [i13]Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach:
Quantum Robust Fitting. CoRR abs/2006.06986 (2020)
2010 – 2019
- 2019
- [j63]Guobao Xiao, Hanzi Wang, Yan Yan, David Suter:
Superpixel-Guided Two-View Deterministic Geometric Model Fitting. Int. J. Comput. Vis. 127(4): 323-339 (2019) - [j62]Hanzi Wang, Guobao Xiao, Yan Yan, David Suter:
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 41(3): 697-711 (2019) - [c103]Shuyuan Lin, Guobao Xiao, Yan Yan, David Suter, Hanzi Wang:
Hypergraph Optimization for Multi-Structural Geometric Model Fitting. AAAI 2019: 8730-8737 - [c102]Giang Truong, Syed Zulqarnain Gilani, Syed Mohammed Shamsul Islam, David Suter:
Fast Point Cloud Registration using Semantic Segmentation. DICTA 2019: 1-8 - [e2]Zhaoxiang Zhang, David Suter, Yingli Tian, Alexandra Branzan Albu, Nicolas Sidère, Hugo Jair Escalante:
Pattern Recognition and Information Forensics - ICPR 2018 International Workshops, CVAUI, IWCF, and MIPPSNA, Beijing, China, August 20-24, 2018, Revised Selected Papers. Lecture Notes in Computer Science 11188, Springer 2019, ISBN 978-3-030-05791-6 [contents] - 2018
- [c101]Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter:
Non-smooth M-estimator for Maximum Consensus Estimation. BMVC 2018: 4 - [c100]Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter:
Deterministic Consensus Maximization with Biconvex Programming. ECCV (12) 2018: 699-714 - [i12]Hanzi Wang, Guobao Xiao, Yan Yan, David Suter:
Searching for Representative Modes on Hypergraphs for Robust Geometric Model Fitting. CoRR abs/1802.01129 (2018) - [i11]Guobao Xiao, Hanzi Wang, Yan Yan, David Suter:
Superpixel-guided Two-view Deterministic Geometric Model Fitting. CoRR abs/1805.01158 (2018) - [i10]Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter:
Deterministic consensus maximization with biconvex programming. CoRR abs/1807.09436 (2018) - 2017
- [b1]Tat-Jun Chin, David Suter:
The Maximum Consensus Problem: Recent Algorithmic Advances. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00690-6 - [j61]Taotao Lai, Hanzi Wang, Yan Yan, Guobao Xiao, David Suter:
Efficient guided hypothesis generation for multi-structure epipolar geometry estimation. Comput. Vis. Image Underst. 154: 152-165 (2017) - [j60]Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter:
Efficient Globally Optimal Consensus Maximisation with Tree Search. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 758-772 (2017) - [j59]Pulak Purkait, Tat-Jun Chin, Alireza Sadri, David Suter:
Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1697-1711 (2017) - [c99]Huu Le, Tat-Jun Chin, David Suter:
An Exact Penalty Method for Locally Convergent Maximum Consensus. CVPR 2017: 379-387 - [c98]Huu Le, Tat-Jun Chin, David Suter:
RATSAC - Random Tree Sampling for Maximum Consensus Estimation. DICTA 2017: 1-8 - [c97]Jerome Williams, Gustavo Carneiro, David Suter:
Region of Interest Autoencoders with an Application to Pedestrian Detection. DICTA 2017: 1-8 - [c96]Qianggong Zhang, Tat-Jun Chin, David Suter:
Quasiconvex Plane Sweep for Triangulation with Outliers. ICCV 2017: 920-928 - [i9]Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter:
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. CoRR abs/1710.10003 (2017) - 2016
- [j58]Ruwan B. Tennakoon, Alireza Bab-Hadiashar, Zhenwei Cao, Reza Hoseinnezhad, David Suter:
Robust Model Fitting Using Higher Than Minimal Subset Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 38(2): 350-362 (2016) - [j57]Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Hongdong Li, David Suter:
Fast Rotation Search with Stereographic Projections for 3D Registration. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2227-2240 (2016) - [j56]Guobao Xiao, Hanzi Wang, Taotao Lai, David Suter:
Hypergraph modelling for geometric model fitting. Pattern Recognit. 60: 748-760 (2016) - [c95]Huu Le, Tat-Jun Chin, David Suter:
Conformal Surface Alignment with Optimal Möbius Search. CVPR 2016: 2507-2516 - [c94]Guobao Xiao, Hanzi Wang, Yan Yan, David Suter:
Superpixel-Based Two-View Deterministic Fitting for Multiple-Structure Data. ECCV (6) 2016: 517-533 - [i8]Yan Yan, Hanzi Wang, David Suter:
Multi-Subregion Based Correlation Filter Bank for Robust Face Recognition. CoRR abs/1603.07604 (2016) - [i7]Hanzi Wang, Guobao Xiao, Yan Yan, David Suter:
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting. CoRR abs/1603.07807 (2016) - [i6]Guobao Xiao, Hanzi Wang, Taotao Lai, David Suter:
Hypergraph Modelling for Geometric Model Fitting. CoRR abs/1607.02829 (2016) - [i5]Guobao Xiao, Hanzi Wang, Yan Yan, David Suter:
Superpixel-based Two-view Deterministic Fitting for Multiple-structure Data. CoRR abs/1607.05839 (2016) - 2015
- [c93]Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter:
Efficient globally optimal consensus maximisation with tree search. CVPR 2015: 2413-2421 - [c92]Hanzi Wang, Guobao Xiao, Yan Yan, David Suter:
Mode-Seeking on Hypergraphs for Robust Geometric Model Fitting. ICCV 2015: 2902-2910 - [c91]Marjan Hadian Jazi, Alireza Bab-Hadiashar, Reza Hoseinnezhad, David Suter:
Theoretical analysis of hough transform optimal cell size: Segmentation of nearby lines. IPTA 2015: 163-168 - 2014
- [j55]Quoc-Huy Tran, Tat-Jun Chin, Wojciech Chojnacki, David Suter:
Sampling Minimal Subsets with Large Spans for Robust Estimation. Int. J. Comput. Vis. 106(1): 93-112 (2014) - [j54]Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter:
An Adversarial Optimization Approach to Efficient Outlier Removal. J. Math. Imaging Vis. 48(3): 451-466 (2014) - [j53]Julio Zaragoza, Tat-Jun Chin, Quoc-Huy Tran, Michael S. Brown, David Suter:
As-Projective-As-Possible Image Stitching with Moving DLT. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1285-1298 (2014) - [j52]Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter:
The Random Cluster Model for Robust Geometric Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1658-1671 (2014) - [j51]Yan Yan, Hanzi Wang, David Suter:
Multi-subregion based correlation filter bank for robust face recognition. Pattern Recognit. 47(11): 3487-3501 (2014) - [j50]Trung-Thanh Pham, Tat-Jun Chin, Konrad Schindler, David Suter:
Interacting Geometric Priors For Robust Multimodel Fitting. IEEE Trans. Image Process. 23(10): 4601-4610 (2014) - [c90]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CVPR 2014: 1971-1978 - [c89]Álvaro Joaquin Parra Bustos, Tat-Jun Chin, David Suter:
Fast Rotation Search with Stereographic Projections for 3D Registration. CVPR 2014: 3930-3937 - [c88]Pulak Purkait, Tat-Jun Chin, Hanno Ackermann, David Suter:
Clustering with Hypergraphs: The Case for Large Hyperedges. ECCV (4) 2014: 672-687 - [c87]Tat-Jun Chin, Álvaro Parra Bustos, Michael S. Brown, David Suter:
Fast rotation search for real-time interactive point cloud registration. I3D 2014: 55-62 - [i4]Guosheng Lin, Chunhua Shen, Qinfeng Shi, Anton van den Hengel, David Suter:
Fast Supervised Hashing with Decision Trees for High-Dimensional Data. CoRR abs/1404.1561 (2014) - 2013
- [j49]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
A simultaneous sample-and-filter strategy for robust multi-structure model fitting. Comput. Vis. Image Underst. 117(12): 1755-1769 (2013) - [j48]Thuraiappah Sathyan, Tat-Jun Chin, Sanjeev Arulampalam, David Suter:
A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements. IEEE J. Sel. Top. Signal Process. 7(3): 448-460 (2013) - [j47]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
Mode seeking over permutations for rapid geometric model fitting. Pattern Recognit. 46(1): 257-271 (2013) - [c86]Julio Zaragoza, Tat-Jun Chin, Michael S. Brown, David Suter:
As-Projective-As-Possible Image Stitching with Moving DLT. CVPR 2013: 2339-2346 - [c85]William X. Liu, Tat-Jun Chin, Gustavo Carneiro, David Suter:
Point Correspondence Validation under Unknown Radial Distortion. DICTA 2013: 1-8 - [c84]Ruwan B. Tennakoon, Alireza Bab-Hadiashar, David Suter, Zhenwei Cao:
Robust Data Modelling Using Thin Plate Splines. DICTA 2013: 1-8 - [c83]Thuraiappah Sathyan, Tat-Jun Chin, David Suter, Mark Hedley:
Improved wireless tracking using radio frequency and video sensors. FUSION 2013: 1442-1449 - [c82]Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel:
A General Two-Step Approach to Learning-Based Hashing. ICCV 2013: 2552-2559 - [i3]Guosheng Lin, Chunhua Shen, David Suter, Anton van den Hengel:
A General Two-Step Approach to Learning-Based Hashing. CoRR abs/1309.1853 (2013) - [i2]Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter:
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. CoRR abs/1311.5947 (2013) - 2012
- [j46]Tat-Jun Chin, Jin Yu, David Suter:
Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 625-638 (2012) - [j45]Hanzi Wang, Tat-Jun Chin, David Suter:
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1177-1192 (2012) - [j44]Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter:
Visual tracking of numerous targets via multi-Bernoulli filtering of image data. Pattern Recognit. 45(10): 3625-3635 (2012) - [j43]Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter:
Reply to "Comments on 'Joint Detection and Estimation of Multiple Objects from Image Observations'". IEEE Trans. Signal Process. 60(3): 1540-1541 (2012) - [c81]Guosheng Lin, Chunhua Shen, Anton van den Hengel, David Suter:
Fast Training of Effective Multi-class Boosting Using Coordinate Descent Optimization. ACCV (2) 2012: 782-795 - [c80]Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter:
The Random Cluster Model for robust geometric fitting. CVPR 2012: 710-717 - [c79]Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter:
In Defence of RANSAC for Outlier Rejection in Deformable Registration. ECCV (4) 2012: 274-287 - [c78]Xue Zhou, Xi Li, Tat-Jun Chin, David Suter:
Adaptive human silhouette reconstruction based on the exploration of temporal information. ICASSP 2012: 1005-1008 - [c77]Xue Zhou, Xi Li, Tat-Jun Chin, David Suter:
Superpixel-driven level set tracking. ICIP 2012: 409-412 - 2011
- [j42]Tat-Jun Chin, David Suter, Hanzi Wang:
Boosting histograms of descriptor distances for scalable multiclass specific scene recognition. Image Vis. Comput. 29(4): 241-250 (2011) - [j41]Weiming Hu, Haiqiang Zuo, Ou Wu, Yunfei Chen, Zhongfei Zhang, David Suter:
Recognition of adult images, videos, and web page bags. ACM Trans. Multim. Comput. Commun. Appl. 7(Supplement): 28 (2011) - [c76]Jin Yu, Tat-Jun Chin, David Suter:
A global optimization approach to robust multi-model fitting. CVPR 2011: 2041-2048 - [c75]Reza Hoseinnezhad, Ba-Ngu Vo, Ba-Tuong Vo, David Suter:
Bayesian integration of audio and visual information for multi-target tracking using a CB-member filter. ICASSP 2011: 2300-2303 - [c74]Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter:
An adversarial optimization approach to efficient outlier removal. ICCV 2011: 399-406 - [c73]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
Dynamic and hierarchical multi-structure geometric model fitting. ICCV 2011: 1044-1051 - [c72]Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter:
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC. NIPS 2011: 540-548 - [i1]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
Incremental Top-k List Comparison Approach to Robust Multi-Structure Model Fitting. CoRR abs/1105.6277 (2011) - 2010
- [j40]Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter:
Finite Sample Bias of Robust Estimators in Segmentation of Closely Spaced Structures: A Comparative Study. J. Math. Imaging Vis. 37(1): 66-84 (2010) - [j39]Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter:
Joint detection and estimation of multiple objects from image observations. IEEE Trans. Signal Process. 58(10): 5129-5141 (2010) - [c71]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
Efficient Multi-structure Robust Fitting with Incremental Top-k Lists Comparison. ACCV (4) 2010: 553-564 - [c70]Nayyar Abbas Zaidi, David McG. Squire, David Suter:
A Gradient-Based Metric Learning Algorithm for k-NN Classifiers. Australasian Conference on Artificial Intelligence 2010: 194-203 - [c69]Tat-Jun Chin, David Suter, Hanzi Wang:
Multi-structure model selection via kernel optimisation. CVPR 2010: 3586-3593 - [c68]Tat-Jun Chin, Jin Yu, David Suter:
Accelerated Hypothesis Generation for Multi-structure Robust Fitting. ECCV (5) 2010: 533-546 - [c67]Reza Hoseinnezhad, Ba-Ngu Vo, David Suter, Ba-Tuong Vo:
Multi-object filtering from image sequence without detection. ICASSP 2010: 1154-1157 - [c66]Hanzi Wang, Tat-Jun Chin, David Suter:
Visual localization and segmentation based on foreground/background modeling. ICASSP 2010: 1158-1161 - [c65]Nayyar Abbas Zaidi, David McG. Squire, David Suter:
BoostML: An Adaptive Metric Learning for Nearest Neighbor Classification. PAKDD (1) 2010: 142-149 - [p1]Therdsak Tangkuampien, David Suter:
KSM Based Machine Learning for Markerless Motion Capture. Machine Learning for Human Motion Analysis 2010: 74-106
2000 – 2009
- 2009
- [j38]Ee Hui Lim, David Suter:
3D terrestrial LIDAR classifications with super-voxels and multi-scale Conditional Random Fields. Comput. Aided Des. 41(10): 701-710 (2009) - [j37]Pei Chen, David Suter:
Rank Constraints for Homographies over Two Views: Revisiting the Rank Four Constraint. Int. J. Comput. Vis. 81(2): 205-225 (2009) - [j36]Pei Chen, David Suter:
Error Analysis in Homography Estimation by First Order Approximation Tools: A General Technique. J. Math. Imaging Vis. 33(3): 281-295 (2009) - [j35]Hang Zhou, Liang Wang, David Suter:
Human action recognition by feature-reduced Gaussian process classification. Pattern Recognit. Lett. 30(12): 1059-1066 (2009) - [j34]Pei Chen, David Suter:
Simultaneously Estimating the Fundamental Matrix and Homographies. IEEE Trans. Robotics 25(6): 1425-1431 (2009) - [c64]Tat-Jun Chin, David Suter:
Keypoint induced distance profiles for visual recognition. CVPR 2009: 1239-1246 - [c63]Ba-Ngu Vo, Ba-Tuong Vo, Nam-Trung Pham, David Suter:
Bayesian multi-object estimation from image observations. FUSION 2009: 890-898 - [c62]Tat-Jun Chin, Hanzi Wang, David Suter:
Robust fitting of multiple structures: The statistical learning approach. ICCV 2009: 413-420 - [c61]Tat-Jun Chin, Hanzi Wang, David Suter:
The Ordered Residual Kernel for Robust Motion Subspace Clustering. NIPS 2009: 333-341 - 2008
- [j33]Liang Wang, David Suter:
Visual learning and recognition of sequential data manifolds with applications to human movement analysis. Comput. Vis. Image Underst. 110(2): 153-172 (2008) - [j32]Konrad Schindler, David Suter, Hanzi Wang:
A Model-Selection Framework for Multibody Structure-and-Motion of Image Sequences. Int. J. Comput. Vis. 79(2): 159-177 (2008) - [j31]Tat-Jun Chin, David Suter:
Out-of-Sample Extrapolation of Learned Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1547-1556 (2008) - [j30]Konrad Schindler, David Suter:
Object detection by global contour shape. Pattern Recognit. 41(12): 3736-3748 (2008) - [c60]David Suter:
Keynote I: High dimensional data analysis in Computer Vision. CIT 2008: 1 - [c59]Ee Hui Lim, David Suter:
Multi-scale Conditional Random Fields for over-segmented irregular 3D point clouds classification. CVPR Workshops 2008: 1-7 - [c58]Hang Zhou, David Suter:
Improved building detection by Gaussian processes classification via feature space rescale and spectral kernel selection. CVPR 2008 - [c57]Nayyar Abbas Zaidi, David Suter:
Object Detection Using a Cascade of Classifiers. DICTA 2008: 600-605 - [c56]Appu Shaji, Sharat Chandran, David Suter:
Manifold optimisation for motion factorisation. ICPR 2008: 1-4 - [c55]Nayyar Abbas Zaidi, David Suter:
Confidence rated boosting algorithm for generic object detection. ICPR 2008: 1-4 - [c54]Hang Zhou, David Suter:
Improving Gaussian processes classification by spectral data reorganizing. ICPR 2008: 1-4 - [c53]Hang Zhou, Liang Wang, David Suter:
Human motion recognition using Gaussian Processes classification. ICPR 2008: 1-4 - 2007
- [j29]Kenji Yamamoto, Tomohiro Yendo, Toshiaki Fujii, Masayuki Tanimoto, David Suter:
Colour Correction for Multiple-camera System by Using Correspondences. Inf. Media Technol. 2(3): 713-722 (2007) - [j28]Pei Chen, David Suter:
A Bilinear Approach to the Parameter Estimation of a General Heteroscedastic Linear System, with Application to Conic Fitting. J. Math. Imaging Vis. 28(3): 191-208 (2007) - [j27]Hanzi Wang, David Suter, Konrad Schindler, Chunhua Shen:
Adaptive Object Tracking Based on an Effective Appearance Filter. IEEE Trans. Pattern Anal. Mach. Intell. 29(9): 1661-1667 (2007) - [j26]Hanzi Wang, David Suter:
A consensus-based method for tracking: Modelling background scenario and foreground appearance. Pattern Recognit. 40(3): 1091-1105 (2007) - [j25]Liang Wang, David Suter:
Learning and Matching of Dynamic Shape Manifolds for Human Action Recognition. IEEE Trans. Image Process. 16(6): 1646-1661 (2007) - [j24]Tat-Jun Chin, David Suter:
Incremental Kernel Principal Component Analysis. IEEE Trans. Image Process. 16(6): 1662-1674 (2007) - [c52]Appu Shaji, Behjat Siddiquie, Sharat Chandran, David Suter:
Human Pose Extraction from Monocular Videos using Constrained Non-Rigid Factorization. BMVC 2007: 1-10 - [c51]Liang Wang, David Suter:
Recognizing Human Activities from Silhouettes: Motion Subspace and Factorial Discriminative Graphical Model. CVPR 2007 - [c50]Hang Zhou, David Suter:
Fast Sparse Gaussian Processes Learning for Man-Made Structure Classification. CVPR 2007 - [c49]Ee Hui Lim, David Suter:
Conditional Random Field for 3D Point Clouds with Adaptive Data Reduction. CW 2007: 404-408 - [c48]Hang Zhou, David Suter:
Man-Made Structure Segmentation using Gaussian Processes and Wavelet Features. ICIP (4) 2007: 349-352 - [c47]Tat-Jun Chin, Liang Wang, Konrad Schindler, David Suter:
Extrapolating Learned Manifolds for Human Activity Recognition. ICIP (1) 2007: 381-384 - [c46]James Cheong, Nathan Faggian, Georg Langs, David Suter, Flavia M. Cicuttini:
A comparision of model-based methods for knee cartilage segmentation. VISAPP (1) 2007: 290-295 - 2006
- [j23]Niloofar Gheissari, Alireza Bab-Hadiashar, David Suter:
Parametric model-based motion segmentation using surface selection criterion. Comput. Vis. Image Underst. 102(2): 214-226 (2006) - [j22]Pei Chen, David Suter:
An Analysis of Linear Subspace Approaches for Computer Vision and Pattern Recognition. Int. J. Comput. Vis. 68(1): 83-106 (2006) - [j21]Konrad Schindler, David Suter:
Two-View Multibody Structure-and-Motion with Outliers through Model Selection. IEEE Trans. Pattern Anal. Mach. Intell. 28(6): 983-995 (2006) - [c45]Hanzi Wang, David Suter:
A Novel Robust Statistical Method for Background Initialization and Visual Surveillance. ACCV (1) 2006: 328-337 - [c44]Tat-Jun Chin, David Suter:
A New Distance Criterion for Face Recognition Using Image Sets. ACCV (1) 2006: 549-558 - [c43]Mohamed Gobara, David Suter:
Feature Detection with an Improved Anisotropic Filter. ACCV (2) 2006: 643-652 - [c42]Liang Wang, David Suter:
Analyzing Human Movements from Silhouettes Using Manifold Learning. AVSS 2006: 7 - [c41]Tat-Jun Chin, David Suter:
Improving the Speed of Kernel PCA on Large Scale Datasets. AVSS 2006: 41 - [c40]Hang Zhou, David Suter:
A Compact Architecture for Wireless Video Surveillance over CDMA Network. AVSS 2006: 102 - [c39]Therdsak Tangkuampien, David Suter:
3D Object Pose Inference via Kernel Principal Component Analysis with Image Euclidian Distance (IMED). BMVC 2006: 137-146 - [c38]Therdsak Tangkuampien, David Suter:
Real-Time Human Pose Inference using Kernel Principal Component Pre-image Approximations. BMVC 2006: 599-608 - [c37]Tat-Jun Chin, David Suter:
Incremental Kernel PCA for Efficient Non-linear Feature Extraction. BMVC 2006: 939-948 - [c36]Hanzi Wang, David Suter, Konrad Schindler:
Effective Appearance Model and Similarity Measure for Particle Filtering and Visual Tracking. ECCV (3) 2006: 606-618 - [c35]Tat-Jun Chin, Konrad Schindler, David Suter:
Incremental Kernel SVD for Face Recognition with Image Sets. FGR 2006: 461-466 - [c34]Hanzi Wang, David Suter:
Background Subtraction Based on a Robust Consensus Method. ICPR (1) 2006: 223-226 - [c33]Therdsak Tangkuampien, David Suter:
Human Motion De-noising via Greedy Kernel Principal Component Analysis Filtering. ICPR (3) 2006: 457-460 - [c32]Hanzi Wang, David Suter:
Efficient Visual Tracking by Probabilistic Fusion of Multiple Cues. ICPR (4) 2006: 892-895 - [c31]Liang Wang, David Suter:
Informative Shape Representations for Human Action Recognition. ICPR (2) 2006: 1266-1269 - [c30]Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter:
Finite Sample Bias of Robust Scale Estimators in Computer Vision Problems. ISVC (1) 2006: 445-454 - [c29]Kenji Yamamoto, Tomohiro Yendo, Toshiaki Fujii, Masayuki Tanimoto, David Suter:
Color correction for multi-camera system by using correspondences. SIGGRAPH Research Posters 2006: 73 - 2005
- [j20]Pei Chen, David Suter:
Subspace-based face recognition: outlier detection and a new distance criterion. Int. J. Pattern Recognit. Artif. Intell. 19(4): 479-493 (2005) - [j19]Prithiraj Tissainayagam, David Suter:
Object tracking in image sequences using point features. Pattern Recognit. 38(1): 105-113 (2005) - [c28]Konrad Schindler, David Suter:
Two-View Multibody Structure-and-Motion with Outliers. CVPR (2) 2005: 676-683 - [c27]Tat-Jun Chin, James U, Konrad Schindler, David Suter:
Face Recognition from Video by Matching Image Sets. DICTA 2005: 28 - [c26]James Cheong, David Suter, Flavia M. Cicuttini:
Development of Semi-Automatic Segmentation Methods for Measuring Tibial Cartilage Volume. DICTA 2005: 45 - [c25]Hanzi Wang, David Suter:
A re-evaluation of mixture of Gaussian background modeling [video signal processing applications]. ICASSP (2) 2005: 1017-1020 - [c24]Hanzi Wang, David Suter:
Tracking and segmenting people with occlusions by a sample consensus based method. ICIP (2) 2005: 410-413 - 2004
- [j18]Hanzi Wang, David Suter:
MDPE: A Very Robust Estimator for Model Fitting and Range Image Segmentation. Int. J. Comput. Vis. 59(2): 139-166 (2004) - [j17]David Suter, Dorin Comaniciu, Ken-ichi Kanatani:
Special issue on statistical methods in video processing. Image Vis. Comput. 22(2): 83-84 (2004) - [j16]Prithiraj Tissainayagam, David Suter:
Assessing the performance of corner detectors for point feature tracking applications. Image Vis. Comput. 22(8): 663-679 (2004) - [j15]Pei Chen, David Suter:
Recovering the Missing Components in a Large Noisy Low-Rank Matrix: Application to SFM. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 1051-1063 (2004) - [j14]Hanzi Wang, David Suter:
Robust Adaptive-Scale Parametric Model Estimation for Computer Vision. IEEE Trans. Pattern Anal. Mach. Intell. 26(11): 1459-1474 (2004) - [c23]Hanzi Wang, David Suter:
Robust Fitting by Adaptive-Scale Residual Consensus. ECCV (3) 2004: 107-118 - [c22]Pei Chen, David Suter:
Shift-invariant wavelet denoising using interscale dependency. ICIP 2004: 1005-1008 - [e1]Dorin Comaniciu, Ken-ichi Kanatani, Rudolf Mester, David Suter:
Statistical Methods in Video Processing, ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3247, Springer 2004, ISBN 3-540-23989-8 [contents] - 2003
- [j13]Prithiraj Tissainayagam, David Suter:
Contour tracking with automatic motion model switching. Pattern Recognit. 36(10): 2411-2427 (2003) - [j12]Hanzi Wang, David Suter:
Using symmetry in robust model fitting. Pattern Recognit. Lett. 24(16): 2953-2966 (2003) - [c21]Hanzi Wang, David Suter:
Color Image Segmentation Using Global Information and Local Homogeneity. DICTA 2003: 89-98 - [c20]Hanzi Wang, David Suter:
False-Peaks-Avoiding Mean Shift Method for Unsupervised Peak-Valley Sliding Image Segmentation. DICTA 2003: 581-590 - [c19]Hanzi Wang, David Suter:
Variable Bandwidth QMDPE and Its Application in Robust Optical Flow Estimation. ICCV 2003: 178-183 - 2002
- [j11]David Suter:
Special Issue of Selected Papers from the 5th Asian Conference in Computer Vision, Melbourne, Australia, 22-25 January 2002. Int. J. Image Graph. 2(2) (2002) - [j10]Prithiraj Tissainayagam, David Suter:
Performance Measures for Assessing Contour Trackers. Int. J. Image Graph. 2(2): 343-359 (2002) - [c18]David Suter, Tarek Hamel, Robert E. Mahony:
Visual servo control using homography estimation for the stabilization of an X4-flyer. CDC 2002: 2872-2877 - [c17]Hanzi Wang, David Suter:
A novel robust method for large numbers of gross errors. ICARCV 2002: 326-331 - [c16]Hanzi Wang, David Suter:
LTSD: a highly efficient symmetry-based robust estimator. ICARCV 2002: 332-337 - [c15]Samia Boukir, David Suter:
Application of Rigid Motion Geometry to Film Restoration. ICPR (1) 2002: 360-363 - [c14]Alireza Bab-Hadiashar, Niloofar Gheissari, David Suter:
Robust Model Based Motion Segmentation. ICPR (2) 2002: 753-756 - 2001
- [j9]Prithiraj Tissainayagam, David Suter:
Performance Prediction Analysis of a Point Feature Tracker Based on Different Motion Models. Comput. Vis. Image Underst. 84(1): 104-125 (2001) - [j8]Prithiraj Tissainayagam, David Suter:
Visual tracking with automatic motion model switching. Pattern Recognit. 34(3): 641-660 (2001) - 2000
- [j7]David Suter, Fang Chen:
Left Ventricular Motion Reconstruction Based on Elastic Vector Splines. IEEE Trans. Medical Imaging 19(4): 295-305 (2000) - [c13]Prithiraj Tissainayagam, David Suter:
Visual Tracking of Multiple Objects with Automatic Motion Model Switching. ICPR 2000: 7146-7158
1990 – 1999
- 1999
- [j6]Alireza Bab-Hadiashar, David Suter:
Robust segmentation of visual data using ranked unbiased scale estimate. Robotica 17(6): 649-660 (1999) - 1998
- [j5]Fang Chen, David Suter:
Fast Evaluation of Vector Splines in Three Dimensions. Computing 61(3): 189-214 (1998) - [j4]Alireza Bab-Hadiashar, David Suter:
Robust Optic Flow Computation. Int. J. Comput. Vis. 29(1): 59-77 (1998) - [c12]Fang Chen, David Suter:
Multiscale Image Representation and Edge Detection. ACCV (2) 1998: 49-56 - [c11]Alireza Bab-Hadiashar, David Suter:
Robust Total least Squares Based Optic Flow Computation. ACCV (1) 1998: 566-573 - [c10]Alireza Bab-Hadiashar, David Suter:
Robust Motion Segmentation Using Rank Ordering Estimatiors. ACCV (2) 1998: 599-606 - [c9]Prithiraj Tissainayagam, David Suter:
Visual tracking and motion determination using the IMM algorithm. ICPR 1998: 289-291 - [c8]Fang Chen, David Suter:
Image coordinate transformation based on DIV-CURL vector splines. ICPR 1998: 518-520 - [c7]Alireza Bab-Hadiashar, David Suter:
Robust range segmentation. ICPR 1998: 969-971 - [c6]Prithiraj Tissainayagam, David Suter:
Visual Feature Tracking with Automatic Motion Model Switching. MVA 1998: 414-417 - 1997
- [c5]Alireza Bab-Hadiashar, David Suter:
Optic flow calculation using robust statistics. CVPR 1997: 988-993 - 1996
- [c4]Alireza Bab-Hadiashar, David Suter:
Robust optic flow estimation using least median of squares. ICIP (1) 1996: 513-516 - 1995
- [c3]P. Richardson, David Suter:
Restoration of historic film for digital compression: a case study. ICIP 1995: 49-52 - 1994
- [c2]David Suter:
Motion estimation and vector splines. CVPR 1994: 939-942 - 1992
- [j3]David Suter:
Mixed Finite Element Based Neural Networks in Visual Reconstruction. Int. J. Pattern Recognit. Artif. Intell. 6(1): 113-129 (1992) - 1991
- [j2]David Suter:
Constraint Networks in Vision. IEEE Trans. Computers 40(12): 1359-1367 (1991) - 1990
- [j1]X. L. Deng, Tharam S. Dillon, Ken S. Lew, J. Rankin, E. Smith, David Suter:
Optimal topologies of transputers for different classes of problems. Comput. Syst. Sci. Eng. 5(1): 36-41 (1990)
1980 – 1989
- 1988
- [c1]David Suter, Harvey A. Cohen:
Incorporating Knowledge via Regularization Theory: Applications in Vision and Image Processing. Australian Joint Conference on Artificial Intelligence 1988: 379-394
Coauthor Index
[c116] [c115] [i23] [j65] [c110] [i20] [i17] [c106] [i14] [i13] [c101] [c100] [i10] [b1] [j60] [j59] [c99] [c98] [c96] [i9] [j57] [c95] [c93] [j55] [j54] [j53] [j52] [j50] [c89] [c88] [c87] [j49] [j48] [j47] [c86] [c85] [c83] [j46] [j45] [c80] [c79] [c78] [c77] [j42] [c76] [c74] [c73] [c72] [i1] [c71] [c69] [c68] [c66] [c64] [c62] [c61] [j31] [j24] [c47] [c44] [c41] [c37] [c35] [c27]
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