Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin and Ian Reid
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition
IEEE Robotics and Automation Letters
Accepted on 22 Oct 2020
Arxiv preprint

Tat-Jun Chin, David Suter, Shin-Fang Chng and James Quach
Quantum Robust Fitting
Asian Conference on Computer Vision (ACCV), 2020
Accepted on 17 Sept 2020
Arxiv preprint

A.-D. Doan, Y Latif, T.-J. Chin, Y. Liu, S.-F. Ch'ng, T.-T. Do and I. D. Reid
Visual Localization Under Appearance Change: Filtering Approaches
Neural Computing and Applications
Acccepted on 1 Sept 2020

D. Liu, B. Chen, T.-J. Chin and M. Rutten
Topological Sweep for Multi-Target Detection of Geostationary Space Objects
IEEE Transactions on Signal Processing
Accepted on 19 August 2020
Arxiv preprint

P. Purkait, T.-J. Chin and I. D. Reid
NeuRoRA: Neural Robust Rotation Averaging
European Conference on Computer Vision (ECCV) 2020.
Arxiv preprint

D. Liu, A. Parra and T.-J. Chin
Globally Optimal Contrast Maximisation for Event-based Motion Estimation
Computer Vision and Pattern Recognition (CVPR) 2020.
Oral presentation
Accepted on 27 Feb 2020.
Arxiv preprint - Project page

B. Chen, A. Parra, J. Cao, N. Li and T.-J. Chin
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization
Computer Vision and Pattern Recognition (CVPR) 2020.
Accepted on 27 Feb 2020.
Arxiv preprint - Project page

S. F. Ch'ng, N. Sogi, P. Purkait, T.-J. Chin and K. Fukui
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints
International Conference on Robotics and Automation (ICRA) 2020.
Accepted on 22 January 2020.
Arxiv Preprint

Y. Latif, A.-D. Doan, T.-J. Chin and I. Reid
SPRINT: Subgraph Place Recognition for Intelligent Transportation
International Conference on Robotics and Automation (ICRA) 2020.
Accepted on 22 January 2020.

S. Bagchi and T.-J. Chin
Event-based Star Tracking via Multiresolution Progressive Hough Transforms
Winter Conference on Applications of Computer Vision (WACV) 2020.
Accepted on 17 September 2019.
Arxiv Preprint

A.-D. Doan, Y. Latif, T.-T. Do, Y. Liu, S.-F. Ch’ng, T.-J. Chin and I. Reid
Visual Localization Under Appearance Change: A Filtering Approach
Digital Image Computing: Techniques and Applications (DICTA) 2019.
APRS/IAPR Best paper award
Arxiv Preprint

B. Chen, J. Cao, A. Parra Bustos and T.-J. Chin
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
ICCV 2019 Workshop on Recovering 6D Object Pose.
Accepted on 27 August 2019.
Arxiv Preprint

H. Le, T.-J. Chin, A. Eriksson, T.-T. Do and D. Suter
Deterministic Approximate Methods for Maximum Consensus Robust Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Accepted on 28 August 2019.
Arxiv Preprint

A.-D. Doan, Y. Latif, T.-J. Chin, Y. Liu, T.-T. Do and I. Reid
Scalable Place Recognition Under Appearance Change for Autonomous Driving
International Conference on Computer Vision (ICCV) 2019.
Oral Presentation
Accepted on 23 July 2019.
Arxiv Preprint

Z. Cai, T.-J. Chin and V. Koltun
Consensus Maximization Tree Search Revisited
International Conference on Computer Vision (ICCV) 2019.
Oral Presentation
Accepted on 23 July 2019.
Arxiv Preprint

T.-J. Chin, Z. Cai and F. Neumann
Robust fitting in computer vision: easy or hard?
International Journal on Computer Vision, Special Issue on Best of ECCV 2018.
Accepted on 24 July 2019.
DOI

A. Eriksson, C. Olsson, F. Kahl and T.-J. Chin
Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Accepted on 2 July 2019.
DOI

T.-J. Chin, S. Bagchi, A. Eriksson and A. van Schaik
Star Tracking using an Event Camera
CVPR 2019 Workshop on Event-based Vision and Smart Cameras.
Best Paper Award Finalist
Arxiv Preprint - Project page

H. N. Do, T.-J. Chin, N. Moretti, M. K. Jah and M. Tetlow
Robust Foreground Segmentation and Image Registration for Optical Detection of GEO Objects Robust
Advances in Space Research, Volume 64, Issue 3, 1 August 2019, Pages 733-746.
PDF - Project page

A. Parra Bustos, T.-J. Chin, A. Eriksson and I. Reid
Visual SLAM: Why bundle adjust?
International Conference on Robotics and Automation (ICRA) 2019.
Accepted on 26 Jan 2019.
Arxiv preprint

Z. Cai, T.-J. Chin, A. Parra Bustos and K. Schindler
Practical optimal registration of terrestrial LiDAR scan pairs
ISPRS Journal of Photogrammetry and Remote Sensing
Accepted on 14 Nov 2018.
Arxiv preprint - Project page

T.-J. Chin, Z. Cai and F. Neumann
Robust fitting in computer vision: easy or hard?
European Conference on Computer Vision (ECCV) 2018.
Oral presentation - selected to IJCV Special Issue on Best of ECCV 2018
Open Access - Arxiv preprint - Slides

Z. Cai, T.-J. Chin, H. M. Le and D. Suter
Deterministic consensus maximization with biconvex programming
European Conference on Computer Vision (ECCV) 2018.
Oral presentation
Open Access - Arxiv preprint - Slides - Project page

Huu Le, Anders Eriksson, Michael Milford, Thanh-Toan Do, Tat-Jun Chin and David Suter
Non-smooth M-estimator for maximum consensus estimation
British Machine Vision Conference (BMVC), 2018.
Best Science Paper
PDF

Q. Zhang, T.-J. Chin and H. M. Le
A fast resection-intersection method for the known rotation problem
Computer Vision and Pattern Recognition (CVPR) 2018.
Open Access

A. Eriksson, C. Olsson, F. Kahl and T.-J. Chin
Rotation averaging and strong duality
Computer Vision and Pattern Recognition (CVPR) 2018.
Oral presentation
Open Access

C. Rubino, A. del Bue and T.-J. Chin
Practical motion segmentation for urban street view scenes
International Conference on Robotics and Automation (ICRA) 2018.
Accepted on 12 Jan 2018.

H. M. Le, T.-J. Chin and D. Suter
RATSAC - Random tree sampling for maximum consensus estimation
In Digital Image Computing: Techniques and Applications (DICTA), 2017.
DST Award
PDF

A. Parra Bustos and T.-J. Chin
Guaranteed outlier removal for point cloud registration with correspondences
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(12):2868-2882, Dec 2018.
Arxiv preprint

Q. Zhang and T.-J. Chin
Coresets for triangulation
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 40(9):2095-2108, Sept 2018.
Arxiv preprint

Q. Zhang, T.-J. Chin and D. Suter
Quasiconvex plane sweep for triangulation with outliers
In International Conference on Computer Vision (ICCV) 2017.
Open Access

T.-J. Chin and D. Suter
The maximum consensus problem: recent algorithmic advances
Synthesis Lectures on Computer Vision (Eds. Gerard Medioni and Sven Dickinson)
Morgan & Claypool Publishers, San Rafael, CA, U.S.A., Feb 2017.
Book homepage - purchasing/subscription info - promo sheet

H. M. Le, T.-J. Chin and D. Suter
An exact penalty method for locally convergent maximum consensus
In Computer Vision and Pattern Recognition (CVPR) 2017.
Open Access

A. Khosravian, T.-J. Chin and I. Reid
A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration
In International Conference on Robotics and Automation (ICRA) 2017.

A. Khosravian, T.-J. Chin, I. Reid and R. Mahony
A discrete-time attitude observer on SO(3) for vision and GPS fusion
In International Conference on Robotics and Automation (ICRA) 2017.

T.-J. Chin, P. Purkait, A. Eriksson and D. Suter
Efficient globally optimal consensus maximisation with tree search
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 39(4):758-772, April 2017.
DOI

R. Marker, T.-J. Chin, and G. Newsam
Eficient geometric matching with polar bounds for aligning star field images
In Australasian Conference on Robotics and Automation (ACRA) 2016.
PDF

P. Purkait, T.-J. Chin, A. Sadri and D. Suter
Clustering with hypergraphs: the case for large hyperedges
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Accepted on 1 Oct 2016.
Project page with source code - DOI

A. Parra Bustos, T.-J. Chin, A. Eriksson, H. Li and David Suter
Fast rotation search with stereographic projections for 3D registration
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 38(11):2227-2240, Nov 2016.
Project page with source code - DOI

T.-J. Chin, Y. H. Kee, A. Eriksson and F. Neumann
Guaranteed outlier removal with mixed integer linear programs
In Computer Vision and Pattern Recognition (CVPR), 2016.
Open Access

H. M. Le, T.-J. Chin and D. Suter
Conformal surface alignment with optimal Mobius search
In Computer Vision and Pattern Recognition (CVPR), 2016.
Open Access

A. Eriksson, J. Bastian, T.-J. Chin and M. Isaksson
A consensus-based framework for distributed bundle adjustment
In Computer Vision and Pattern Recognition (CVPR), 2016.
Open Access

T. Pham, S. H. Rezatofighi, I. Reid and T.-J. Chin
Efficient point process inference for large-scale object detection
In Computer Vision and Pattern Recognition (CVPR), 2016.
Open Access

W. X. Liu and T.-J. Chin
Smooth globally warp locally: video stabilisation using homography fields
In Digital Image Computing: Techniques and Applications (DICTA), 2015.
DSTO Best Fundamental Contribution to Image Processing Paper Prize
PDF - Our results with inpainting - YouTube stabilizer's results - Code

A. Parra Bustos and T.-J. Chin
Guaranteed outlier removal for rotation search
In International Conference on Computer Vision (ICCV), 2015.
PDF - Supp material - Project page with source code

T.-J. Chin, P. Purkait, A. Eriksson and D. Suter
Efficient globally optimal consensus maximisation with tree search
In Computer Vision and Pattern Recognition (CVPR), 2015.
CVPR Best Paper Honourable Mention
PDF from CVF - Presentation - Code

A. Eriksson, T. T. Pham, T.-J. Chin and I. Reid
The k-support norm and convex envelopes of cardinality and rank
In Computer Vision and Pattern Recognition (CVPR), 2015.
PDF from CVF - Code

H. Ackermann, B. Scheuermann, T.-J. Chin and B. Rosenhahn
Randomly walking can get you lost: graph segmentation with unknown edge weights
In Intl. Conf. on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 2015.
DOI

A. Eriksson, M. Isaksson, T.-J. Chin
High-breakdown bundle adjustment
In Winter Conference on Applications of Computer Vision (WACV), 2015.
DOI

T. T. Pham, T.-J. Chin, K. Schindler and D. Suter
Interacting geometric priors for robust multi-model fitting
IEEE Transactions on Image Processing (TIP), 23(10):4601-4610, Oct 2014.
PDF, supp material and code

T. T. Pham, T.-J. Chin, J. Yu and D. Suter
The random cluster model for robust geometric fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(8):1658-1671, Aug 2014.
PDF, supp material and code

P. Purkait, T.-J. Chin, H. Ackermann and D. Suter
Clustering with hypergraphs: the case for large hyperedges
In European Conference on Computer Vision (ECCV) 2014.
PDF - Project page with source code

J. Zaragoza, T.-J. Chin, Q.-H. Tran, M. S. Brown and D. Suter
As-projective-as-possible image stitching with Moving DLT
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 36(7):1285-1298, July 2014.
PDF - Supp material - Project page with code and datasets

A. Parra Bustos, T.-J. Chin and D. Suter
Fast rotation search with stereographic projections for 3D registration
In Computer Vision and Pattern Recognition (CVPR) 2014.
PDF - Project page with source code

T.-J. Chin, A. Parra Bustos, M. S. Brown and D. Suter
Fast rotation search for real-time interactive point cloud registration
In ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D) 2014.
PDF - Demo

B. Zhong, H. Yao, S. Chen, R. Ji, T.-J. Chin and H. Wang
Visual tracking via weakly supervised learning from multiple imperfect oracles
Pattern Recognition (PR), 47(3):1395-1410, Mar 2014.
DOI

J. Yu, A. Eriksson, T.-J. Chin and D. Suter
An adversarial optimization approach to efficient outlier removal
Journal of Mathematical Imaging and Vision (JMIV), 48(3): 451-466, Mar 2014.
DOI - Code

Q.-H. Tran, T.-J. Chin, W. Chojnacki and D. Suter
Sampling minimal subsets with large spans for robust estimation
International Journal on Computer Vision (IJCV), 106(1):93-112, Jan 2014.
PDF

H. S. Wong, T.-J. Chin, J. Yu and D. Suter
A simultaneous sample-and-filter strategy for robust multi-structure model fitting
Computer Vision and Image Understanding (CVIU), 117(12):1755–1769, Dec 2013.
DOI

J. Zaragoza, T.-J. Chin, M. S. Brown and D. Suter
As-projective-as-possible image stitching with Moving DLT
In Computer Vision and Pattern Recognition (CVPR) 2013.
PDF - Supp material - Project page with code and datasets

J. Gao, Y. Li, T.-J. Chin, and M. S. Brown
Seam driven image stitching
In Annual Conference of the European Association for Computer Graphics (Eurographics), 2013.
PDF

H. S. Wong, T.-J. Chin, J. Yu, and D. Suter
Mode seeking over permutations for rapid geometric model fitting
Pattern Recognition (PR), 46(1):257-271, January 2013.
DOI

H. Wang, T.-J. Chin and D. Suter
Simultaneously fitting and segmenting multiple-structure data with outliers
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34(6):1177-1192, June 2012.
DOI

T.-J. Chin, J. Yu and D. Suter
Accelerated Hypothesis Generation for Multi-Structure Data via Preference Analysis
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 34(4):625-638, April 2012.
PDF - Rejoinder - Code ⇒ may require Bug fix for MATLAB's randsample/histc

Q.-H. Tran, T.-J. Chin, G. Carneiro, M. S. Brown, and D. Suter
In Defence of RANSAC for Outlier Rejection in Deformable Registration
In European Conference on Computer Vision (ECCV), 2012.
PDF - Code

T. T. Pham, T.-J. Chin, J. Yu, and D. Suter
The Random Cluster Model for Robust Geometric Fitting
In Computer Vision and Pattern Recognition (CVPR), 2012.
PDF and code

X. Zhou, X. Li, T.-J. Chin and D. Suter
Adaptive Human Silhouette Reconstruction Based On The Exploration of Temporal Information
In IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2012.

T. T. Pham, T.-J. Chin, J. Yu, and D. Suter
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC
In Advances of Neural Information Processing Systems (NIPS), 2011.
PDF

J. Yu, A. Eriksson, T.-J. Chin, and D. Suter
An Adversarial Optimization Approach to Efficient Outlier Removal
In International Conference on Computer Vision (ICCV), 2011.
PDF - Code

H. S. Wong, T.-J. Chin, J. Yu, and D. Suter
Dynamic and Hierarchical Multi-Structure Geometric Model Fitting
In International Conference on Computer Vision (ICCV), 2011.
PDF - Dataset

J. Yu, T.-J. Chin, and D. Suter
A Global Optimization Approach to Robust Multi-Model Fitting
In Computer Vision and Pattern Recognition (CVPR), 2011.
PDF

T.-J. Chin, D. Suter and H. Wang
Boosting Histograms of Descriptor Distances for Scalable Multiclass Specific Scene Recognition
Image and Vision Computing (IVC), 29(4):241-250, March 2011.

H. Wong, T.-J. Chin, J. Yu and D. Suter
Efficient Multi-Structure Robust Fitting with Incremental Top-k Lists Comparison
In Asian Conference on Computer Vision (ACCV), 2010.
PDF

T.-J. Chin, J. Yu and D. Suter
Accelerated Hypothesis Generation for Multi-Structure Robust Fitting
In European Conf. on Computer Vision (ECCV), 2010.
PDF - Code ⇒ may require Bug fix for MATLAB's randsample/histc

T.-J. Chin, H. Wang and D. Suter
Multi-Structure Model Selection via Kernel Optimisation
In Computer Vision and Pattern Recognition (CVPR), 2010.
PDF

H. Wang, T.-J. Chin and D. Suter
Visual Localization and Segmentation Based on Foreground/Background Modeling
In IEEE Int. Conf. on Acoustics, Speech and Signal Processing (ICASSP), 2010.
PDF

T.-J. Chin, H. Wang and D. Suter
The Ordered Residual Kernel for Robust Motion Subspace Clustering
In Advances of Neural Information Processing Systems (NIPS), 2009.
PDF

T.-J. Chin, H. Wang and D. Suter
Robust Fitting of Multiple Structures: The Statistical Learning Approach
In International Conference on Computer Vision (ICCV), 2009.
PDF - Code

T.-J. Chin and D. Suter
Keypoint Induced Distance Profiles for Visual Recognition
In Computer Vision and Pattern Recognition (CVPR), 2009.
PDF

R. Albatal, P. Mulhem, Y. Chiaramella, T.-J. Chin
Comparing Image Segmentation Algorithms for Content Based Image Retrieval Systems
In Proceedings of the Singaporean-French IPAL Symposium (SinFra), 2009.

Y. Li, Y. Wang, K. L. Lim, H. Goh, P. N. Nguyen, N. M. Tan, T.-J. Chin, Y. Yilun and J. H Lim
Method and System for Extracting a Barcode from a Captured Image
Publication ID WO/2009/148409, granted 10/12/2009.

T.-J. Chin, Y. You, C. Coutrix, J.-H. Lim, J.-P. Chevallet and L. Nigay
Mobile Phone-Based Mixed Reality: The Snap2Play Game
The Visual Computer: Int. Journal of Computer Graphics, 25(1):25-37, December 2008.

T.-J. Chin and D. Suter
Out-of-Sample Extrapolation of Learned Manifolds
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 30(9):1547-1556, September 2008.
PDF

T.-J. Chin, H. Goh and N.-M. Tan
Exact Integral Images at Generic Angles for 2D Barcode Detection
In Int. Conf. on Pattern Recognition (ICPR), 2008.

Y. You, T.-J. Chin, J.-H. Lim, J.-P. Chevallet, C. Coutrix and L. Nigay
Deploying and Evaluating a Mixed Reality Mobile Treasure Hunt: Snap2Play
In Int. Conf. on Mobile Human Computer Interaction, 2008.

T.-J. Chin, H. Goh and J.-H. Lim
Boosting Descriptors Condensed from Video Sequences for Place Recognition
In CVPR Workshop on Visual Localization for Mobile Platforms (VLMP), 2008.

T.-J. Chin, H. Goh and J.-H. Lim
Using Densely Recorded Scenes for Place Recognition
In IEEE Int. Conf. on Acoustics, Speech and Signal Processing, 2008.
PDF

T.-J. Chin, Y. You, C. Coutrix, J.-H. Lim, J.-P. Chevallet and L. Nigay
Snap2Play: A Mixed-Reality Game based on Scene Identification
In Int. Multimedia Modeling Conf., 2008.

T.-J. Chin and D. Suter
Incremental Kernel Principal Component Analysis
IEEE Transactions on Image Processing (TIP), 16(6):1662-1674, June 2007.
PDF - Code

T.-J. Chin, L. Wang, K. Schindler and D. Suter
Extrapolating Learned Manifolds for Human Activity Recognition
In Int. Conf. on Image Processing (ICIP), 2007.
PDF

T.-J. Chin and D. Suter
Improving the Speed of Kernel PCA on Large Scale Datasets
In IEEE Int. Conf. on Advanced Video and Signal based Surveillance, 2006.

T.-J. Chin and D. Suter
Incremental Kernel PCA for Efficient Non-linear Feature Extraction
In British Machine Vision Conference, 2006.

N. Faggian, A. Paplinski and T.-J. Chin
Face Recognition from Video using Active Appearance Model Segmentation
In Int. Conf. on Pattern Recognition, 2006.

T.-J. Chin, K. Schindler, and D. Suter
Incremental Kernel SVD for Face Recognition with Image Sets
In Int. Conf. on Automatic Face and Gesture Recognition, 2006.

T.-J. Chin and D. Suter
A New Distance Criterion for Face Recognition using Image Sets
In Asian Conference on Computer Vision, 2006.

T.-J. Chin, J. U, K. Schindler, and D. Suter
Face Recognition from Video by Matching Image Sets
In Digital Image Computing: Techniques and Applications, 2005.

T. Tangkuampien and T.-J. Chin
Locally Linear Embedding for Markerless Human Motion Capture using Multiple Cameras
In Digital Image Computing: Techniques and Applications, 2005.