Face Recognition from Video by Matching Image Sets. - Tat-Jun Chin; James U; Konrad Schindler; David Suter (DICTA, 2005)

Locally Linear Embedding for Markerless Human Motion Capture Using Multiple Cameras. - Therdsak Tangkuampien; Tat-Jun Chin (DICTA, 2005)

A New Distance Criterion for Face Recognition Using Image Sets. - Tat-Jun Chin; David Suter (ACCV (1), 2006)

Improving the Speed of Kernel PCA on Large Scale Datasets. - Tat-Jun Chin; David Suter (AVSS, 2006)

Incremental Kernel PCA for Efficient Non-linear Feature Extraction. - Tat-Jun Chin; David Suter (BMVC, 2006)

Incremental Kernel SVD for Face Recognition with Image Sets. - Tat-Jun Chin; Konrad Schindler; David Suter (FGR, 2006)

Face Recognition From Video using Active Appearance Model Segmentation. - Nathan Faggian; Andrew P. Paplinski; Tat-Jun Chin (ICPR (1), 2006)

Extrapolating Learned Manifolds for Human Activity Recognition. - Tat-Jun Chin; Liang Wang 001; Konrad Schindler; David Suter (ICIP (1), 2007)

Incremental Kernel Principal Component Analysis. - Tat-Jun Chin; David Suter (IEEE Trans. Image Process., 2007)

Boosting descriptors condensed from video sequences for place recognition. - Tat-Jun Chin; Hanlin Goh; Joo-Hwee Lim (CVPR Workshops, 2008)

Using densely recorded scenes for place recognition. - Tat-Jun Chin; Hanlin Goh; Joo-Hwee Lim (ICASSP, 2008)

Exact integral images at generic angles for 2D barcode detection. - Tat-Jun Chin; Hanlin Goh; Ngan Meng Tan (ICPR, 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 (Mobile HCI, 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 (MMM, 2008)

Out-of-Sample Extrapolation of Learned Manifolds. - Tat-Jun Chin; David Suter (IEEE Trans. Pattern Anal. Mach. Intell., 2008)

Keypoint induced distance profiles for visual recognition. - Tat-Jun Chin; David Suter (CVPR, 2009)

Robust fitting of multiple structures: The statistical learning approach. - Tat-Jun Chin; Hanzi Wang; David Suter (ICCV, 2009)

The Ordered Residual Kernel for Robust Motion Subspace Clustering. - Tat-Jun Chin; Hanzi Wang; David Suter (NIPS, 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)

Efficient Multi-structure Robust Fitting with Incremental Top-k Lists Comparison. - Hoi Sim Wong; Tat-Jun Chin; Jin Yu 001; David Suter (ACCV (4), 2010)

Multi-structure model selection via kernel optimisation. - Tat-Jun Chin; David Suter; Hanzi Wang (CVPR, 2010)

Accelerated Hypothesis Generation for Multi-structure Robust Fitting. - Tat-Jun Chin; Jin Yu 001; David Suter (ECCV (5), 2010)

Visual localization and segmentation based on foreground/background modeling. - Hanzi Wang; Tat-Jun Chin; David Suter (ICASSP, 2010)

A global optimization approach to robust multi-model fitting. - Jin Yu 001; Tat-Jun Chin; David Suter (CVPR, 2011)

Dynamic and hierarchical multi-structure geometric model fitting. - Hoi Sim Wong; Tat-Jun Chin; Jin Yu 001; David Suter (ICCV, 2011)

Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC. - Trung-Thanh Pham; Tat-Jun Chin; Jin Yu 001; David Suter (NIPS, 2011)

Incremental Top-k List Comparison Approach to Robust Multi-Structure Model Fitting - Hoi Sim Wong; Tat-Jun Chin; Jin Yu 001; David Suter (CoRR, 2011)

Boosting histograms of descriptor distances for scalable multiclass specific scene recognition. - Tat-Jun Chin; David Suter; Hanzi Wang (Image Vis. Comput., 2011)

In Defence of RANSAC for Outlier Rejection in Deformable Registration. - Quoc-Huy Tran; Tat-Jun Chin; Gustavo Carneiro 001; Michael S. Brown; David Suter (ECCV (4), 2012)

Adaptive human silhouette reconstruction based on the exploration of temporal information. - Xue Zhou; Xi Li 001; Tat-Jun Chin; David Suter (ICASSP, 2012)

Superpixel-driven level set tracking. - Xue Zhou; Xi Li 001; Tat-Jun Chin; David Suter (ICIP, 2012)

Matting-driven online learning of Hough forests for object tracking. - Tao Qin; Bineng Zhong; Tat-Jun Chin; Hanzi Wang (ICPR, 2012)

Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis. - Tat-Jun Chin; Jin Yu 001; David Suter (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers. - Hanzi Wang; Tat-Jun Chin; David Suter (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

As-Projective-As-Possible Image Stitching with Moving DLT. - Julio Zaragoza; Tat-Jun Chin; Michael S. Brown; David Suter (CVPR, 2013)

Closed-Loop Deep Vision. - Gustavo Carneiro 001; Zhibin Liao; Tat-Jun Chin (DICTA, 2013)

Point Correspondence Validation under Unknown Radial Distortion. - William X. Liu; Tat-Jun Chin; Gustavo Carneiro 001; David Suter (DICTA, 2013)

Seam-Driven Image Stitching. - Junhong Gao; Yu Li 003; Tat-Jun Chin; Michael S. Brown (Eurographics (Short Papers), 2013)

Improved wireless tracking using radio frequency and video sensors. - Thuraiappah Sathyan; Tat-Jun Chin; David Suter; Mark Hedley (FUSION, 2013)

Fuzzy clustering based encoding for Visual Object Classification. - Danilo Dell'Agnello; Gustavo Carneiro 001; Tat-Jun Chin; Giovanna Castellano; Anna Maria Fanelli (IFSA/NAFIPS, 2013)

A simultaneous sample-and-filter strategy for robust multi-structure model fitting. - Hoi Sim Wong; Tat-Jun Chin; Jin Yu 001; David Suter (Comput. Vis. Image Underst., 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)

Mode seeking over permutations for rapid geometric model fitting. - Hoi Sim Wong; Tat-Jun Chin; Jin Yu 001; David Suter (Pattern Recognit., 2013)

Fast Rotation Search with Stereographic Projections for 3D Registration. - Álvaro Joaquin Parra Bustos; Tat-Jun Chin; David Suter (CVPR, 2014)

Clustering with Hypergraphs: The Case for Large Hyperedges. - Pulak Purkait; Tat-Jun Chin; Hanno Ackermann; David Suter (ECCV (4), 2014)

Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights. - Hanno Ackermann; Björn Scheuermann 002; Tat-Jun Chin; Bodo Rosenhahn (EMMCVPR, 2014)

Fast rotation search for real-time interactive point cloud registration. - Tat-Jun Chin; Álvaro Parra Bustos; Michael S. Brown; David Suter (I3D, 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)

An Adversarial Optimization Approach to Efficient Outlier Removal. - Jin Yu 001; Anders P. Eriksson; Tat-Jun Chin; David Suter (J. Math. Imaging Vis., 2014)

The Random Cluster Model for Robust Geometric Fitting. - Trung-Thanh Pham; Tat-Jun Chin; Jin Yu 001; David Suter (IEEE Trans. Pattern Anal. Mach. Intell., 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)

Visual tracking via weakly supervised learning from multiple imperfect oracles. - Bineng Zhong; Hongxun Yao; Sheng Chen 007; Rongrong Ji; Tat-Jun Chin; Hanzi Wang (Pattern Recognit., 2014)

Interacting Geometric Priors For Robust Multimodel Fitting. - Trung-Thanh Pham; Tat-Jun Chin; Konrad Schindler; David Suter (IEEE Trans. Image Process., 2014)

The k-support norm and convex envelopes of cardinality and rank. - Anders P. Eriksson; Trung-Thanh Pham; Tat-Jun Chin; Ian D. Reid 001 (CVPR, 2015)

Smooth Globally Warp Locally: Video Stabilization Using Homography Fields. - William X. Liu; Tat-Jun Chin (DICTA, 2015)

Guaranteed Outlier Removal for Rotation Search. - Álvaro Parra Bustos; Tat-Jun Chin (ICCV, 2015)

High Breakdown Bundle Adjustment. - Anders P. Eriksson; Mats Isaksson; Tat-Jun Chin (WACV, 2015)

An Efficient Meta-Algorithm for Triangulation. - Qianggong Zhang; Tat-Jun Chin (ACCV Workshops (2), 2016)

Guaranteed Outlier Removal with Mixed Integer Linear Programs. - Tat-Jun Chin; Yang Heng Kee; Anders P. Eriksson; Frank Neumann 001 (CVPR, 2016)

A Consensus-Based Framework for Distributed Bundle Adjustment. - Anders P. Eriksson; John Bastian; Tat-Jun Chin; Mats Isaksson (CVPR, 2016)

Conformal Surface Alignment with Optimal Möbius Search. - Huu Le; Tat-Jun Chin; David Suter (CVPR, 2016)

Efficient Point Process Inference for Large-Scale Object Detection. - Trung T. Pham; Seyed Hamid Rezatofighi; Ian D. Reid 001; Tat-Jun Chin (CVPR, 2016)

Correspondence Insertion for As-Projective-As-Possible Image Stitching. - William X. Liu; Tat-Jun Chin (CoRR, 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)

An Exact Penalty Method for Locally Convergent Maximum Consensus. - Huu Le; Tat-Jun Chin; David Suter (CVPR, 2017)

RATSAC - Random Tree Sampling for Maximum Consensus Estimation. - Huu Le; Tat-Jun Chin; David Suter (DICTA, 2017)

Quasiconvex Plane Sweep for Triangulation with Outliers. - Qianggong Zhang; Tat-Jun Chin; David Suter (ICCV, 2017)

A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. - Alireza Khosravian; Tat-Jun Chin; Ian D. Reid 001 (ICRA, 2017)

A discrete-time attitude observer on SO(3) for vision and GPS fusion. - Alireza Khosravian; Tat-Jun Chin; Ian D. Reid 001; Robert E. Mahony (ICRA, 2017)

Why Rotation Averaging is Easy. - Anders P. Eriksson; Carl Olsson; Fredrik Kahl; Olof Enqvist; Tat-Jun Chin (CoRR, 2017)

Deterministic Approximate Methods for Maximum Consensus Robust Fitting. - Huu Le; Tat-Jun Chin; Anders P. Eriksson; David Suter (CoRR, 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)

Clustering with Hypergraphs: The Case for Large Hyperedges. - Pulak Purkait; Tat-Jun Chin; Alireza Sadri; David Suter (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Motion Segmentation Via a Sparsity Constraint. - Taotao Lai; Hanzi Wang; Yan Yan 001; Tat-Jun Chin; Wanlei Zhao (IEEE Trans. Intell. Transp. Syst., 2017)

The Maximum Consensus Problem: Recent Algorithmic Advances - Tat-Jun Chin; David Suter (Morgan & Claypool Publishers, 2017)

Non-smooth M-estimator for Maximum Consensus Estimation. - Huu Le; Anders P. Eriksson; Thanh-Toan Do; Tat-Jun Chin; David Suter (BMVC, 2018)

Rotation Averaging and Strong Duality. - Anders P. Eriksson; Carl Olsson; Fredrik Kahl; Tat-Jun Chin (CVPR, 2018)

A Fast Resection-Intersection Method for the Known Rotation Problem. - Qianggong Zhang; Tat-Jun Chin; Huu M. Le (CVPR, 2018)

Deterministic Consensus Maximization with Biconvex Programming. - Zhipeng Cai 003; Tat-Jun Chin; Huu Le; David Suter (ECCV (12), 2018)

Practical Motion Segmentation for Urban Street View Scenes. - Cosimo Rubino; Alessio Del Bue; Tat-Jun Chin (ICRA, 2018)

G2D: from GTA to Data. - Anh-Dzung Doan; Abdul Mohsi Jawaid; Thanh-Toan Do; Tat-Jun Chin (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 001 (CoRR, 2018)

Practical optimal registration of terrestrial LiDAR scan pairs. - Zhipeng Cai 003; Tat-Jun Chin; Álvaro Parra Bustos; Konrad Schindler (CoRR, 2018)

Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. - Álvaro Parra Bustos; Tat-Jun Chin (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Coresets for Triangulation. - Qianggong Zhang; Tat-Jun Chin (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Star Tracking Using an Event Camera. - Tat-Jun Chin; Samya Bagchi; Anders P. Eriksson; André van Schaik (CVPR Workshops, 2019)

Visual Localization under Appearance Change: A Filtering Approach. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Shin-Fang Ch'ng; Thanh-Toan Do; Ian D. Reid 001 (DICTA, 2019)

Consensus Maximization Tree Search Revisited. - Zhipeng Cai 003; Tat-Jun Chin; Vladlen Koltun (ICCV, 2019)

Scalable Place Recognition Under Appearance Change for Autonomous Driving. - Dzung A. Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Thanh-Toan Do; Ian D. Reid 001 (ICCV, 2019)

Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. - Bo Chen 009; Jiewei Cao; Álvaro Parra Bustos; Tat-Jun Chin (ICCV Workshops, 2019)

Visual SLAM: Why Bundle Adjust? - Álvaro Parra Bustos; Tat-Jun Chin; Anders P. Eriksson; Ian D. Reid 001 (ICRA, 2019)

Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion. - Shin-Fang Ch'ng; Alireza Khosravian; Anh-Dzung Doan; Tat-Jun Chin (IROS, 2019)

A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints. - Álvaro Parra Bustos; Tat-Jun Chin; Frank Neumann 001; Tobias Friedrich 001; Maximilian Katzmann (CoRR, 2019)

BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. - Bo Chen 009; Tat-Jun Chin; Nan Li (CoRR, 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)

Optimization Methods in Geometric Vision (NII Shonan Meeting 140). - Tat-Jun Chin; Anders P. Eriksson; Yasuyuki Matsushita (NII Shonan Meet. Rep., 2019)

Quantum Robust Fitting. - Tat-Jun Chin; David Suter; Shin-Fang Ch'ng; James Quach (ACCV (1), 2020)

End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. - Bo Chen 009; Álvaro Parra 001; Jiewei Cao; Nan Li; Tat-Jun Chin (CVPR, 2020)

Globally Optimal Contrast Maximisation for Event-Based Motion Estimation. - Daqi Liu; Álvaro Parra Bustos; Tat-Jun Chin (CVPR, 2020)

Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. - Chee-Kheng Chng; Álvaro Parra 001; Tat-Jun Chin; Yasir Latif (DICTA, 2020)

NeuRoRA: Neural Robust Rotation Averaging. - Pulak Purkait; Tat-Jun Chin; Ian Reid 001 (ECCV (24), 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 (ICRA, 2020)

SPRINT: Subgraph Place Recognition for INtelligent Transportation. - Yasir Latif; Anh-Dzung Doan; Tat-Jun Chin; Ian Reid 001 (ICRA, 2020)

Anomaly Detection via Neighbourhood Contrast. - Bo Chen 009; Kai Ming Ting; Tat-Jun Chin (PAKDD (2), 2020)

Event-based Star Tracking via Multiresolution Progressive Hough Transforms. - Samya Bagchi; Tat-Jun Chin (WACV, 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)

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 001 (CoRR, 2020)

HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Ian D. Reid 001 (CoRR, 2020)

Semantics for Robotic Mapping, Perception and Interaction: A Survey. - Sourav Garg; Niko Sünderhauf; Feras Dayoub; Douglas Morrison; Akansel Cosgun; Gustavo Carneiro 001; Qi Wu 001; Tat-Jun Chin; Ian D. Reid 001; Stephen Gould; Peter Corke; Michael Milford (Found. Trends Robotics, 2020)

Robust Fitting in Computer Vision: Easy or Hard? - Tat-Jun Chin; Zhipeng Cai 003; Frank Neumann 001 (Int. J. Comput. Vis., 2020)

Accelerated Guided Sampling for Multistructure Model Fitting. - Taotao Lai; Hanzi Wang; Yan Yan 001; Tat-Jun Chin; Jin Zheng; Bo Li 006 (IEEE Trans. Cybern., 2020)

Topological Sweep for Multi-Target Detection of Geostationary Space Objects. - Daqi Liu; Bo Chen 009; Tat-Jun Chin; Mark G. Rutten (IEEE Trans. Signal Process., 2020)

spotGEO dataset. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (Zenodo, 2020)

spotGEO starter kit. - Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo; Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten (Zenodo, 2020)

Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. - Álvaro Parra 001; Shin-Fang Ch'ng; Tat-Jun Chin; Anders P. Eriksson; Ian Reid 001 (CVPR, 2021)

Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (CVPR Workshops, 2021)

A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. - Dung Anh Hoang; Bo Chen 009; Tat-Jun Chin (CVPR Workshops, 2021)

Spatiotemporal Registration for Event-Based Visual Odometry. - Daqi Liu; Álvaro Parra 001; Tat-Jun Chin (CVPR, 2021)

Consensus Maximisation Using Influences of Monotone Boolean Functions. - Ruwan B. Tennakoon; David Suter; Erchuan Zhang; Tat-Jun Chin; Alireza Bab-Hadiashar (CVPR, 2021)

A Chaos Theory Approach to Understand Neural Network Optimization. - Michele Sasdelli; Thalaiyasingam Ajanthan; Tat-Jun Chin; Gustavo Carneiro 001 (DICTA, 2021)

Quantum Annealing Formulation for Binary Neural Networks. - Michele Sasdelli; Tat-Jun Chin (DICTA, 2021)

Learning to Predict Repeatability of Interest Points. - Anh-Dzung Doan; Daniyar Turmukhambetov; Yasir Latif; Tat-Jun Chin; Soohyun Bae (ICRA, 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; et al. (CoRR, 2021)

Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. - Andrew Du; Yee Wei Law; Michele Sasdelli; Bo Chen 009; Ken Clarke; Michael S. Brown; Tat-Jun Chin (CoRR, 2021)

Visual localization under appearance change: filtering approaches. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Yu Liu 029; Shin-Fang Ch'ng; Thanh-Toan Do; Ian Reid 001 (Neural Comput. Appl., 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)

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)

HM⁴: Hidden Markov Model With Memory Management for Visual Place Recognition. - Anh-Dzung Doan; Yasir Latif; Tat-Jun Chin; Ian D. Reid 001 (IEEE Robotics Autom. Lett., 2021)

spotGEO dataset. - Bo Chen 009; Daqi Liu; Tat-Jun Chin; Mark Rutten; Dawa Derksen; Marcus Märtens; Moritz von Looz; Gurvan Lécuyer; Dario Izzo (Zenodo, 2021)

Update Compression for Deep Neural Networks on the Edge. - Bo Chen 009; Ali Bakhshi; Gustavo Batista; Brian Wai-Him Ng; Tat-Jun Chin (CVPR Workshops, 2022)

A Hybrid Quantum-Classical Algorithm for Robust Fitting. - Anh-Dzung Doan; Michele Sasdelli; David Suter; Tat-Jun Chin (CVPR, 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 (CVPR, 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 001; Tat-Jun Chin (ECCV Workshops (1), 2022)

Asynchronous Kalman Filter for Event-Based Star Tracking. - Yonhon Ng; Yasir Latif; Tat-Jun Chin; Robert E. Mahony (ECCV Workshops (1), 2022)

Asynchronous Optimisation for Event-based Visual Odometry. - Daqi Liu; Álvaro Parra 001; Yasir Latif; Bo Chen 009; Tat-Jun Chin; Ian D. Reid 001 (ICRA, 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; et al. (ICRA, 2022)

Occlusion-Robust Object Pose Estimation with Holistic Representation. - Bo Chen 009; Tat-Jun Chin; Marius Klimavicius (WACV, 2022)

Physical Adversarial Attacks on an Aerial Imagery Object Detector. - Andrew Du; Bo Chen 009; Tat-Jun Chin; Yee Wei Law; Michele Sasdelli; Ramesh Rajasegaran; Dillon Campbell (WACV, 2022)

Auto-Rectify Network for Unsupervised Indoor Depth Estimation. - Jia-Wang Bian; Huangying Zhan; Naiyan Wang; Tat-Jun Chin; Chunhua Shen; Ian D. Reid 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

SEENIC: dataset for Spacecraft posE Estimation with NeuromorphIC vision. - Ethan Elms; Abdul Mohsi Jawaid; Yasir Latif; Tat-Jun Chin (Zenodo, 2022)

SEENIC: dataset for Spacecraft posE Estimation with NeuromorphIC vision. - Ethan Elms; Abdul Mohsi Jawaid; Yasir Latif; Tat-Jun Chin (Zenodo, 2022)

Semantic Segmentation on 3D Point Clouds with High Density Variations. - Ryan Faulkner 002; Luke Haub; Simon Ratcliffe; Ian D. Reid 001; Tat-Jun Chin (DICTA, 2023)

Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. - Abdul Mohsi Jawaid; Ethan Elms; Yasir Latif; Tat-Jun Chin (ICRA, 2023)

Training Multilayer Perceptrons by Sampling with Quantum Annealers. - Frances Fengyi Yang; Michele Sasdelli; Tat-Jun Chin (CoRR, 2023)

Federated Neural Radiance Fields. - Lachlan Holden; Feras Dayoub; David Harvey; 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 001; Markus Wagner 007 (CoRR, 2023)

Direct initial orbit determination. - Chee-Kheng Chng; Trent Jansen-Sturgeon; Timothy Payne; 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)

Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection. - Andrew Du; Anh-Dzung Doan; Yee Wei Law; Tat-Jun Chin (CoRR, 2023)

ROSIA: Rotation-Search-Based Star Identification Algorithm. - Chee-Kheng Chng; Álvaro Parra Bustos; Benjamin McCarthy; Tat-Jun Chin (IEEE Trans. Aerosp. Electron. Syst., 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 (BMVC, 2024)

Event-based Structure-from-Orbit. - Ethan Elms; Yasir Latif; Tae Ha Park; Tat-Jun Chin (CVPR, 2024)

Robust Perspective-n-Crater for Crater-based Camera Pose Estimation. - Sofia McLeod; Chee Kheng Chng; Tatsuharu Ono; Yuta Shimizu; Ryodo Hemmi; Lachlan Holden; Matthew Rodda; Feras Dayoub; Hirdy Miyamoto; Yukihiro Takahashi; Yasuko Kasai; Tat-Jun Chin (CVPR Workshops, 2024)

Robust Fitting on a Gate Quantum Computer. - Frances Fengyi Yang; Michele Sasdelli; Tat-Jun Chin (ECCV (1), 2024)

Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation. - Abdul Mohsi Jawaid; Rajat Talak; Yasir Latif; Luca Carlone; Tat-Jun Chin (IROS, 2024)

Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover. - Tam Nguyen; Anh-Dzung Doan; Zhipeng Cai; Tat-Jun Chin (NeurIPS, 2024)

Camera-Pose Robust Crater Detection from Chang'e 5. - Matthew Rodda; Sofia McLeod; Ky Cuong Pham; Tat-Jun Chin (CoRR, 2024)

Weakly Supervised Test-Time Domain Adaptation for Object Detection. - Anh-Dzung Doan; Bach Long Nguyen; Terry Lim; Madhuka Jayawardhana; Surabhi Gupta; Christophe Guettier; Ian Reid 001; Markus Wagner 007; Tat-Jun Chin (CoRR, 2024)

TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation. - Anh-Dzung Doan; Vu Minh Hieu Phan; Surabhi Gupta; Markus Wagner 007; Tat-Jun Chin; Ian Reid 001 (CoRR, 2024)

Synthetic Lunar Terrain: A Multimodal Open Dataset for Training and Evaluating Neuromorphic Vision Algorithms. - Marcus Märtens; Kevin Farries; John Culton; Tat-Jun Chin (CoRR, 2024)

Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. - Chun-Jung Lin; Sourav Garg; Tat-Jun Chin; Feras Dayoub (CoRR, 2024)

Simultaneous Diffusion Sampling for Conditional LiDAR Generation. - Ryan Faulkner 002; Luke Haub; Simon Ratcliffe; Anh-Dzung Doan; Ian D. Reid 001; Tat-Jun Chin (CoRR, 2024)

Assessing domain gap for continual domain adaptation in object detection. - Anh-Dzung Doan; Bach Long Nguyen; Surabhi Gupta; Ian Reid 001; Markus Wagner 007; Tat-Jun Chin (Comput. Vis. Image Underst., 2024)

TOPSPIN: daTaset Of sPinning objectS with neuromorPhic vIsioN. - Ethan Elms; Yasir Latif; Tae Ha Park; Tat-Jun Chin (Zenodo, 2024)

Synthetic Lunar Terrain: A Multimodal Open Dataset for Training and Evaluating Neuromorphic Vision Algorithms. - Marcus Märtens; Kevin Farries; John Culton; Tat-Jun Chin (Zenodo, 2024)

Domain Adaptation for Satellite-Borne Multispectral Cloud Detection. - Andrew Du; Anh-Dzung Doan; Yee Wei Law; Tat-Jun Chin (Remote. Sens., 2024)

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; Surabhi Gupta; Estelle Parra; Ian D. Reid 001; Markus Wagner 007 (IEEE Trans. Intell. Transp. Syst., 2024)

Guest Editorial: Special Issue on ACCV 2022. - Lei Wang 001; Juergen Gall; Tat-Jun Chin; Imari Sato; Rama Chellappa (Int. J. Comput. Vis., 2024)

Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset. - Samya Bagchi; Peter Anastasiou; Matthew Tetlow; Tat-Jun Chin; Yasir Latif (CoRR, 2025)

Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting. - Abdul Mohsi Jawaid; Marcus Märtens; Tat-Jun Chin (CoRR, 2025)

Event-driven Robust Fitting on Neuromorphic Hardware. - Tam Ngoc-Bang Nguyen; Anh-Dzung Doan; Zhipeng Cai; Tat-Jun Chin (CoRR, 2025)