Tat-Jun Chin

According to our database, Tat-Jun Chin authored at least 147 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Assessing domain gap for continual domain adaptation in object detection.

Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin

Comput. Vis. Image Underst., January, 2024

2023

ROSIA: Rotation-Search-Based Star Identification Algorithm.

Chee-Kheng Chng, Álvaro Parra Bustos, Benjamin McCarthy, Tat-Jun Chin

IEEE Trans. Aerosp. Electron. Syst., October, 2023

Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients.

Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal

CoRR, 2023

Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection.

Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin

CoRR, 2023

High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation.

Yasir Latif, Peter Anastasiou, Yonhon Ng, Zebb Prime, Tien-Fu Lu, Matthew Tetlow, Robert E. Mahony, Tat-Jun Chin

CoRR, 2023

Direct initial orbit determination.

Chee-Kheng Chng, Trent Jansen-Sturgeon, Timothy Payne, Tat-Jun Chin

CoRR, 2023

Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach.

Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Estelle Parra, Ian D. Reid, Markus Wagner

CoRR, 2023

Federated Neural Radiance Fields.

Lachlan Holden, Feras Dayoub, David Harvey, Tat-Jun Chin

CoRR, 2023

Training Multilayer Perceptrons by Sampling with Quantum Annealers.

Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin

CoRR, 2023

Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing.

Abdul Mohsi Jawaid, Ethan Elms, Yasir Latif, Tat-Jun Chin

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Semantic Segmentation on 3D Point Clouds with High Density Variations.

Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022

Auto-Rectify Network for Unsupervised Indoor Depth Estimation.

Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian D. Reid

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Physical Adversarial Attacks on an Aerial Imagery Object Detector.

Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Occlusion-Robust Object Pose Estimation with Holistic Representation.

Bo Chen, Tat-Jun Chin, Marius Klimavicius

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Autonomy and Perception for Space Mining.

Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian D. Reid

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Asynchronous Optimisation for Event-based Visual Odometry.

Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Asynchronous Kalman Filter for Event-Based Star Tracking.

Yonhon Ng, Yasir Latif, Tat-Jun Chin, Robert E. Mahony

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Globally Optimal Event-Based Divergence Estimation for Ventral Landing.

Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin

Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

Maximum Consensus by Weighted Influences of Monotone Boolean Functions.

Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Hybrid Quantum-Classical Algorithm for Robust Fitting.

Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Update Compression for Deep Neural Networks on the Edge.

Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021

HM⁴: Hidden Markov Model With Memory Management for Visual Place Recognition.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid

IEEE Robotics Autom. Lett., 2021

Deterministic Approximate Methods for Maximum Consensus Robust Fitting.

Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality.

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Visual localization under appearance change: filtering approaches.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid

Neural Comput. Appl., 2021

Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector.

Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin

CoRR, 2021

Robotic Vision for Space Mining.

Ragav Sachdeva, Ravi Hammond, James Bockman, Alec Arthur, Brandon Smart, Dustin Craggs, Anh-Dzung Doan, Thomas Rowntree, Elijah Schutz, Adrian Orenstein, Andy Yu, Tat-Jun Chin, Ian D. Reid

CoRR, 2021

Learning to Predict Repeatability of Interest Points.

Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Quantum Annealing Formulation for Binary Neural Networks.

Michele Sasdelli, Tat-Jun Chin

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

A Chaos Theory Approach to Understand Neural Network Optimization.

Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro

Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

Consensus Maximisation Using Influences of Monotone Boolean Functions.

Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Spatiotemporal Registration for Event-Based Visual Odometry.

Daqi Liu, Álvaro Parra, Tat-Jun Chin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Spacecraft Dataset for Detection, Segmentation and Parts Recognition.

Dung Anh Hoang, Bo Chen, Tat-Jun Chin

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge.

Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging.

Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian Reid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Topological Sweep for Multi-Target Detection of Geostationary Space Objects.

Daqi Liu, Bo Chen, Tat-Jun Chin, Mark G. Rutten

IEEE Trans. Signal Process., 2020

Accelerated Guided Sampling for Multistructure Model Fitting.

Taotao Lai, Hanzi Wang, Yan Yan, Tat-Jun Chin, Jin Zheng, Bo Li

IEEE Trans. Cybern., 2020

Robust Fitting in Computer Vision: Easy or Hard?

Tat-Jun Chin, Zhipeng Cai, Frank Neumann

Int. J. Comput. Vis., 2020

Semantics for Robotic Mapping, Perception and Interaction: A Survey.

Sourav Garg, Niko Sünderhauf, Feras Dayoub, Douglas Morrison, Akansel Cosgun, Gustavo Carneiro, Qi Wu, Tat-Jun Chin, Ian D. Reid, Stephen Gould, Peter Corke, Michael Milford

Found. Trends Robotics, 2020

HM4: Hidden Markov Model with Memory Management for Visual Place Recognition.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid

CoRR, 2020

Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue.

Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian Reid

CoRR, 2020

Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon.

David Suter, Ruwan B. Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar

CoRR, 2020

Event-based Star Tracking via Multiresolution Progressive Hough Transforms.

Samya Bagchi, Tat-Jun Chin

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Anomaly Detection via Neighbourhood Contrast.

Bo Chen, Kai Ming Ting, Tat-Jun Chin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020

SPRINT: Subgraph Place Recognition for INtelligent Transportation.

Yasir Latif, Anh-Dzung Doan, Tat-Jun Chin, Ian Reid

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints^*.

Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

NeuRoRA: Neural Robust Rotation Averaging.

Pulak Purkait, Tat-Jun Chin, Ian Reid

Proceedings of the Computer Vision - ECCV 2020, 2020

Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure.

Chee-Kheng Chng, Álvaro Parra, Tat-Jun Chin, Yasir Latif

Proceedings of the Digital Image Computing: Techniques and Applications, 2020

Globally Optimal Contrast Maximisation for Event-Based Motion Estimation.

Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization.

Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Quantum Robust Fitting.

Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Optimization Methods in Geometric Vision (NII Shonan Meeting 140).

Tat-Jun Chin, Anders P. Eriksson, Yasuyuki Matsushita

NII Shonan Meet. Rep., 2019

Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints.

Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui

CoRR, 2019

BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization.

Bo Chen, Tat-Jun Chin, Nan Li

CoRR, 2019

A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints.

Álvaro Parra Bustos, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann

CoRR, 2019

Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion.

Shin-Fang Ch'ng, Alireza Khosravian, Anh-Dzung Doan, Tat-Jun Chin

Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Visual SLAM: Why Bundle Adjust?

Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid

Proceedings of the International Conference on Robotics and Automation, 2019

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement.

Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Scalable Place Recognition Under Appearance Change for Autonomous Driving.

Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Consensus Maximization Tree Search Revisited.

Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Visual Localization under Appearance Change: A Filtering Approach.

Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid

Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

Star Tracking Using an Event Camera.

Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

Coresets for Triangulation.

Qianggong Zhang, Tat-Jun Chin

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Guaranteed Outlier Removal for Point Cloud Registration with Correspondences.

Álvaro Parra Bustos, Tat-Jun Chin

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Practical optimal registration of terrestrial LiDAR scan pairs.

Zhipeng Cai, Tat-Jun Chin, Álvaro Parra Bustos, Konrad Schindler

CoRR, 2018

Practical Visual Localization for Autonomous Driving: Why Not Filter?

Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid

CoRR, 2018

G2D: from GTA to Data.

Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin

CoRR, 2018

Practical Motion Segmentation for Urban Street View Scenes.

Cosimo Rubino, Alessio Del Bue, Tat-Jun Chin

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Deterministic Consensus Maximization with Biconvex Programming.

Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter

Proceedings of the Computer Vision - ECCV 2018, 2018

A Fast Resection-Intersection Method for the Known Rotation Problem.

Qianggong Zhang, Tat-Jun Chin, Huu M. Le

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Rotation Averaging and Strong Duality.

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Non-smooth M-estimator for Maximum Consensus Estimation.

Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter

Proceedings of the British Machine Vision Conference 2018, 2018

2017

The Maximum Consensus Problem: Recent Algorithmic Advances

Tat-Jun Chin, David Suter

Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, ISBN: 978-3-031-01818-3, 2017

Motion Segmentation Via a Sparsity Constraint.

Taotao Lai, Hanzi Wang, Yan Yan, Tat-Jun Chin, Wanlei Zhao

IEEE Trans. Intell. Transp. Syst., 2017

Clustering with Hypergraphs: The Case for Large Hyperedges.

Pulak Purkait, Tat-Jun Chin, Alireza Sadri, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Efficient Globally Optimal Consensus Maximisation with Tree Search.

Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2017

Deterministic Approximate Methods for Maximum Consensus Robust Fitting.

Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter

CoRR, 2017

Why Rotation Averaging is Easy.

Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Olof Enqvist, Tat-Jun Chin

CoRR, 2017

A discrete-time attitude observer on SO(3) for vision and GPS fusion.

Alireza Khosravian, Tat-Jun Chin, Ian D. Reid, Robert E. Mahony

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration.

Alireza Khosravian, Tat-Jun Chin, Ian D. Reid

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Quasiconvex Plane Sweep for Triangulation with Outliers.

Qianggong Zhang, Tat-Jun Chin, David Suter

Proceedings of the IEEE International Conference on Computer Vision, 2017

RATSAC - Random Tree Sampling for Maximum Consensus Estimation.

Huu Le, Tat-Jun Chin, David Suter

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

An Exact Penalty Method for Locally Convergent Maximum Consensus.

Huu Le, Tat-Jun Chin, David Suter

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Fast Rotation Search with Stereographic Projections for 3D Registration.

Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Hongdong Li, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Correspondence Insertion for As-Projective-As-Possible Image Stitching.

William X. Liu, Tat-Jun Chin

CoRR, 2016

Efficient Point Process Inference for Large-Scale Object Detection.

Trung T. Pham, Seyed Hamid Rezatofighi, Ian D. Reid, Tat-Jun Chin

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Conformal Surface Alignment with Optimal Möbius Search.

Huu Le, Tat-Jun Chin, David Suter

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

A Consensus-Based Framework for Distributed Bundle Adjustment.

Anders P. Eriksson, John Bastian, Tat-Jun Chin, Mats Isaksson

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Guaranteed Outlier Removal with Mixed Integer Linear Programs.

Tat-Jun Chin, Yang Heng Kee, Anders P. Eriksson, Frank Neumann

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

An Efficient Meta-Algorithm for Triangulation.

Qianggong Zhang, Tat-Jun Chin

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015

High Breakdown Bundle Adjustment.

Anders P. Eriksson, Mats Isaksson, Tat-Jun Chin

Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

Guaranteed Outlier Removal for Rotation Search.

Álvaro Parra Bustos, Tat-Jun Chin

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Smooth Globally Warp Locally: Video Stabilization Using Homography Fields.

William X. Liu, Tat-Jun Chin

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

The k-support norm and convex envelopes of cardinality and rank.

Anders P. Eriksson, Trung-Thanh Pham, Tat-Jun Chin, Ian D. Reid

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Interacting Geometric Priors For Robust Multimodel Fitting.

Trung-Thanh Pham, Tat-Jun Chin, Konrad Schindler, David Suter

IEEE Trans. Image Process., 2014

Visual tracking via weakly supervised learning from multiple imperfect oracles.

Bineng Zhong, Hongxun Yao, Sheng Chen, Rongrong Ji, Tat-Jun Chin, Hanzi Wang

Pattern Recognit., 2014

As-Projective-As-Possible Image Stitching with Moving DLT.

Julio Zaragoza, Tat-Jun Chin, Quoc-Huy Tran, Michael S. Brown, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2014

The Random Cluster Model for Robust Geometric Fitting.

Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2014

An Adversarial Optimization Approach to Efficient Outlier Removal.

Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter

J. Math. Imaging Vis., 2014

Sampling Minimal Subsets with Large Spans for Robust Estimation.

Quoc-Huy Tran, Tat-Jun Chin, Wojciech Chojnacki, David Suter

Int. J. Comput. Vis., 2014

Fast rotation search for real-time interactive point cloud registration.

Tat-Jun Chin, Álvaro Parra Bustos, Michael S. Brown, David Suter

Proceedings of the Symposium on Interactive 3D Graphics and Games, 2014

Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights.

Hanno Ackermann, Björn Scheuermann, Tat-Jun Chin, Bodo Rosenhahn

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

Clustering with Hypergraphs: The Case for Large Hyperedges.

Pulak Purkait, Tat-Jun Chin, Hanno Ackermann, David Suter

Proceedings of the Computer Vision - ECCV 2014, 2014

Fast Rotation Search with Stereographic Projections for 3D Registration.

Álvaro Joaquin Parra Bustos, Tat-Jun Chin, David Suter

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013

Mode seeking over permutations for rapid geometric model fitting.

Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter

Pattern Recognit., 2013

A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements.

Thuraiappah Sathyan, Tat-Jun Chin, Sanjeev Arulampalam, David Suter

IEEE J. Sel. Top. Signal Process., 2013

A simultaneous sample-and-filter strategy for robust multi-structure model fitting.

Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter

Comput. Vis. Image Underst., 2013

Fuzzy clustering based encoding for Visual Object Classification.

Danilo Dell'Agnello, Gustavo Carneiro, Tat-Jun Chin, Giovanna Castellano, Anna Maria Fanelli

Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Improved wireless tracking using radio frequency and video sensors.

Thuraiappah Sathyan, Tat-Jun Chin, David Suter, Mark Hedley

Proceedings of the 16th International Conference on Information Fusion, 2013

Seam-Driven Image Stitching.

Junhong Gao, Yu Li, Tat-Jun Chin, Michael S. Brown

Proceedings of the 34th Annual Conference of the European Association for Computer Graphics, 2013

Point Correspondence Validation under Unknown Radial Distortion.

William X. Liu, Tat-Jun Chin, Gustavo Carneiro, David Suter

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Closed-Loop Deep Vision.

Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

As-Projective-As-Possible Image Stitching with Moving DLT.

Julio Zaragoza, Tat-Jun Chin, Michael S. Brown, David Suter

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012

Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers.

Hanzi Wang, Tat-Jun Chin, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis.

Tat-Jun Chin, Jin Yu, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2012

Matting-driven online learning of Hough forests for object tracking.

Tao Qin, Bineng Zhong, Tat-Jun Chin, Hanzi Wang

Proceedings of the 21st International Conference on Pattern Recognition, 2012

Superpixel-driven level set tracking.

Xue Zhou, Xi Li, Tat-Jun Chin, David Suter

Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Adaptive human silhouette reconstruction based on the exploration of temporal information.

Xue Zhou, Xi Li, Tat-Jun Chin, David Suter

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

In Defence of RANSAC for Outlier Rejection in Deformable Registration.

Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Boosting histograms of descriptor distances for scalable multiclass specific scene recognition.

Tat-Jun Chin, David Suter, Hanzi Wang

Image Vis. Comput., 2011

Incremental Top-k List Comparison Approach to Robust Multi-Structure Model Fitting

Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter

CoRR, 2011

Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC.

Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter

Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Dynamic and hierarchical multi-structure geometric model fitting.

Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter

Proceedings of the IEEE International Conference on Computer Vision, 2011

A global optimization approach to robust multi-model fitting.

Jin Yu, Tat-Jun Chin, David Suter

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Visual localization and segmentation based on foreground/background modeling.

Hanzi Wang, Tat-Jun Chin, David Suter

Proceedings of the IEEE International Conference on Acoustics, 2010

Accelerated Hypothesis Generation for Multi-structure Robust Fitting.

Tat-Jun Chin, Jin Yu, David Suter

Proceedings of the Computer Vision - ECCV 2010, 2010

Multi-structure model selection via kernel optimisation.

Tat-Jun Chin, David Suter, Hanzi Wang

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Efficient Multi-structure Robust Fitting with Incremental Top-<i>k</i> Lists Comparison.

Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter

Proceedings of the Computer Vision - ACCV 2010, 2010

2009

Mobile phone-based mixed reality: the Snap2Play game.

Tat-Jun Chin, Yilun You, Céline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay

Vis. Comput., 2009

The Ordered Residual Kernel for Robust Motion Subspace Clustering.

Tat-Jun Chin, Hanzi Wang, David Suter

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Robust fitting of multiple structures: The statistical learning approach.

Tat-Jun Chin, Hanzi Wang, David Suter

Proceedings of the IEEE 12th International Conference on Computer Vision, ICCV 2009, Kyoto, Japan, September 27, 2009

Keypoint induced distance profiles for visual recognition.

Tat-Jun Chin, David Suter

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Out-of-Sample Extrapolation of Learned Manifolds.

Tat-Jun Chin, David Suter

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Snap2Play: A Mixed-Reality Game Based on Scene Identification.

Tat-Jun Chin, Yilun You, Céline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay

Proceedings of the Advances in Multimedia Modeling, 2008

Deploying and evaluating a mixed reality mobile treasure hunt: Snap2Play.

Yilun You, Tat-Jun Chin, Joo-Hwee Lim, Jean-Pierre Chevallet, Céline Coutrix, Laurence Nigay

Proceedings of the 10th Conference on Human-Computer Interaction with Mobile Devices and Services, 2008

Exact integral images at generic angles for 2D barcode detection.

Tat-Jun Chin, Hanlin Goh, Ngan Meng Tan

Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Using densely recorded scenes for place recognition.

Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim

Proceedings of the IEEE International Conference on Acoustics, 2008

Boosting descriptors condensed from video sequences for place recognition.

Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007

Incremental Kernel Principal Component Analysis.

Tat-Jun Chin, David Suter

IEEE Trans. Image Process., 2007

Extrapolating Learned Manifolds for Human Activity Recognition.

Tat-Jun Chin, Liang Wang, Konrad Schindler, David Suter

Proceedings of the International Conference on Image Processing, 2007

2006

Face Recognition From Video using Active Appearance Model Segmentation.

Nathan Faggian, Andrew P. Paplinski, Tat-Jun Chin

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Incremental Kernel SVD for Face Recognition with Image Sets.

Tat-Jun Chin, Konrad Schindler, David Suter

Proceedings of the Seventh IEEE International Conference on Automatic Face and Gesture Recognition (FGR 2006), 2006

Incremental Kernel PCA for Efficient Non-linear Feature Extraction.

Tat-Jun Chin, David Suter

Proceedings of the British Machine Vision Conference 2006, 2006

Improving the Speed of Kernel PCA on Large Scale Datasets.

Tat-Jun Chin, David Suter

Proceedings of the Advanced Video and Signal Based Surveillance, 2006

A New Distance Criterion for Face Recognition Using Image Sets.

Tat-Jun Chin, David Suter

Proceedings of the Computer Vision, 2006

2005

Locally Linear Embedding for Markerless Human Motion Capture Using Multiple Cameras.

Therdsak Tangkuampien, Tat-Jun Chin

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

Face Recognition from Video by Matching Image Sets.

Tat-Jun Chin, James U, Konrad Schindler, David Suter

Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005