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2020 – today
- 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
- [j65]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) - [j64]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
- [j63]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
- [j62]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) - [j61]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 - [j60]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) - [j59]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) - [j58]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
- [j57]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) - [j56]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) - [j55]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
- [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]Yan Yan, Hanzi Wang, David Suter:
Multi-subregion based correlation filter bank for robust face recognition. Pattern Recognit. 47(11): 3487-3501 (2014) - [j49]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
- [j48]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) - [j47]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) - [j46]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
- [j45]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) - [j44]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) - [j43]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) - [j42]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
- [j41]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) - [j40]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
- [j39]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) - [j38]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
- [j37]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) - [j36]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) - [j35]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) - [j34]Hang Zhou, Liang Wang, David Suter:
Human action recognition by feature-reduced Gaussian process classification. Pattern Recognit. Lett. 30(12): 1059-1066 (2009) - [j33]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
- [j32]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) - [j31]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) - [j30]Tat-Jun Chin, David Suter:
Out-of-Sample Extrapolation of Learned Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1547-1556 (2008) - [j29]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]