Tat-Jun Chin

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 133

Top Venues

CoRR

CVPR

ICRA

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Matthew Rodda, Sofia McLeod, Ky Cuong Pham, Tat-Jun Chin
Camera-Pose Robust Crater Detection from Chang'e 5. CoRR (2024)
Anh-Dzung Doan, Bach Long Nguyen, Terry Lim, Madhuka Jayawardhana, Surabhi Gupta, Christophe Guettier, Ian Reid, Markus Wagner, Tat-Jun Chin
Weakly Supervised Test-Time Domain Adaptation for Object Detection. CoRR (2024)
Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin
Assessing domain gap for continual domain adaptation in object detection. Comput. Vis. Image Underst. 238 (2024)
Ethan Elms, Yasir Latif, Tae Ha Park, Tat-Jun Chin
Event-based Structure-from-Orbit. CoRR (2024)
Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Estelle Parra, Ian D. Reid, Markus Wagner
Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. CoRR (2023)
Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin
Semantic Segmentation on 3D Point Clouds with High Density Variations. CoRR (2023)
Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. CoRR (2023)
Yasir Latif, Peter Anastasiou, Yonhon Ng, Zebb Prime, Tien-Fu Lu, Matthew Tetlow, Robert E. Mahony, Tat-Jun Chin
High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation. CoRR (2023)
Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection. CoRR (2023)
Abdul Mohsi Jawaid, Ethan Elms, Yasir Latif, Tat-Jun Chin
Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. ICRA (2023)
Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin
Semantic Segmentation on 3D Point Clouds with High Density Variations. DICTA (2023)
Chee-Kheng Chng, Trent Jansen-Sturgeon, Timothy Payne, Tat-Jun Chin
Direct initial orbit determination. CoRR (2023)
Lachlan Holden, Feras Dayoub, David Harvey, Tat-Jun Chin
Federated Neural Radiance Fields. CoRR (2023)
Chee-Kheng Chng, Álvaro Parra Bustos, Benjamin McCarthy, Tat-Jun Chin
ROSIA: Rotation-Search-Based Star Identification Algorithm. IEEE Trans. Aerosp. Electron. Syst. 59 (5) (2023)
Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian D. Reid, Markus Wagner, Tat-Jun Chin
Assessing Domain Gap for Continual Domain Adaptation in Object Detection. CoRR (2023)
Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
Training Multilayer Perceptrons by Sampling with Quantum Annealers. CoRR (2023)
Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. ECCV Workshops (1) (2022)
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian D. Reid
Auto-Rectify Network for Unsupervised Indoor Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Bo Chen, Tat-Jun Chin, Marius Klimavicius
Occlusion-Robust Object Pose Estimation with Holistic Representation. WACV (2022)
Yonhon Ng, Yasir Latif, Tat-Jun Chin, Robert E. Mahony
Asynchronous Kalman Filter for Event-Based Star Tracking. ECCV Workshops (1) (2022)
Abdul Mohsi Jawaid, Ethan Elms, Yasir Latif, Tat-Jun Chin
Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. CoRR (2022)
Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CoRR (2022)
Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
Physical Adversarial Attacks on an Aerial Imagery Object Detector. WACV (2022)
Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
Asynchronous Optimisation for Event-based Visual Odometry. CoRR (2022)
Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani
Maximum Consensus by Weighted Influences of Monotone Boolean Functions. CVPR (2022)
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
Autonomy and Perception for Space Mining. ICRA (2022)
Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
Update Compression for Deep Neural Networks on the Edge. CoRR (2022)
Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
Asynchronous Optimisation for Event-based Visual Odometry. ICRA (2022)
Chee-Kheng Chng, Álvaro Parra Bustos, Benjamin McCarthy, Tat-Jun Chin
ROSIA: Rotation-Search-Based Star Identification Algorithm. CoRR (2022)
Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CVPR (2022)
Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin
Globally Optimal Event-Based Divergence Estimation for Ventral Landing. CoRR (2022)
Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
Update Compression for Deep Neural Networks on the Edge. CVPR Workshops (2022)
Michele Sasdelli, Tat-Jun Chin
Quantum Annealing Formulation for Binary Neural Networks. CoRR (2021)
Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae
Learning to Predict Repeatability of Interest Points. CoRR (2021)
Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
Consensus Maximisation Using Influences of Monotone Boolean Functions. CVPR (2021)
Dung Anh Hoang, Bo Chen, Tat-Jun Chin
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CVPR Workshops (2021)
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid
Visual localization under appearance change: filtering approaches. Neural Comput. Appl. 33 (13) (2021)
Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lecuyer, Dario Izzo
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. CVPR Workshops (2021)
Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
Physical Adversarial Attacks on an Aerial Imagery Object Detector. CoRR (2021)
Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
Consensus Maximisation Using Influences of Monotone Boolean Functions. CoRR (2021)
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid
HM⁴: Hidden Markov Model With Memory Management for Visual Place Recognition. IEEE Robotics Autom. Lett. 6 (1) (2021)
Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. CoRR (2021)
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) (2021)
Daqi Liu, Álvaro Parra, Tat-Jun Chin
Spatiotemporal Registration for Event-based Visual Odometry. CoRR (2021)
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
Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR (2021)
Dung Anh Hoang, Bo Chen, Tat-Jun Chin
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CoRR (2021)
Michele Sasdelli, Tat-Jun Chin
Quantum Annealing Formulation for Binary Neural Networks. DICTA (2021)
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 (2021)
Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro
A Chaos Theory Approach to Understand Neural Network Optimization. DICTA (2021)
Daqi Liu, Álvaro Parra, Tat-Jun Chin
Spatiotemporal Registration for Event-Based Visual Odometry. CVPR (2021)
Bo Chen, Tat-Jun Chin, Marius Klimavicius
Occlusion-Robust Object Pose Estimation with Holistic Representation. CoRR (2021)
Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian Reid
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CVPR (2021)
Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin
Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality. IEEE Trans. Pattern Anal. Mach. Intell. 43 (1) (2021)
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
Robotic Vision for Space Mining. CoRR (2021)
Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae
Learning to Predict Repeatability of Interest Points. ICRA (2021)
Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CoRR (2021)
Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui
. ICRA (2020)
Samya Bagchi, Tat-Jun Chin
Event-based Star Tracking via Multiresolution Progressive Hough Transforms. WACV (2020)
Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach
Quantum Robust Fitting. CoRR (2020)
Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin
Globally Optimal Contrast Maximisation for Event-based Motion Estimation. CoRR (2020)
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
Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics 8 (1-2) (2020)
David Suter, Ruwan B. Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon. CoRR (2020)
Bo Chen, Kai Ming Ting, Tat-Jun Chin
Anomaly Detection via Neighbourhood Contrast. PAKDD (2) (2020)
Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. CoRR (2020)
Yasir Latif, Anh-Dzung Doan, Tat-Jun Chin, Ian Reid
SPRINT: Subgraph Place Recognition for INtelligent Transportation. ICRA (2020)
Pulak Purkait, Tat-Jun Chin, Ian Reid
NeuRoRA: Neural Robust Rotation Averaging. ECCV (24) (2020)
Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian Reid
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue. CoRR (2020)
Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin
Globally Optimal Contrast Maximisation for Event-Based Motion Estimation. CVPR (2020)
Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. CVPR (2020)
Chee-Kheng Chng, Álvaro Parra, Tat-Jun Chin, Yasir Latif
Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. CoRR (2020)
Daqi Liu, Bo Chen, Tat-Jun Chin, Mark G. Rutten
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. IEEE Trans. Signal Process. 68 (2020)
Chee-Kheng Chng, Álvaro Parra, Tat-Jun Chin, Yasir Latif
Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. DICTA (2020)
Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach
Quantum Robust Fitting. ACCV (1) (2020)
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
Robust Fitting in Computer Vision: Easy or Hard? Int. J. Comput. Vis. 128 (3) (2020)
Taotao Lai, Hanzi Wang, Yan Yan, Tat-Jun Chin, Jin Zheng, Bo Li
Accelerated Guided Sampling for Multistructure Model Fitting. IEEE Trans. Cybern. 50 (10) (2020)
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. CoRR (2020)
Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. ICCV Workshops (2019)
Álvaro Parra Bustos, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann
A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints. CoRR (2019)
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
Consensus Maximization Tree Search Revisited. ICCV (2019)
Pulak Purkait, Tat-Jun Chin, Ian D. Reid
NeuRoRA: Neural Robust Rotation Averaging. CoRR (2019)
Shin-Fang Ch'ng, Alireza Khosravian, Anh-Dzung Doan, Tat-Jun Chin
Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion. IROS (2019)
Tat-Jun Chin, Anders P. Eriksson, Yasuyuki Matsushita
Optimization Methods in Geometric Vision (NII Shonan Meeting 140). NII Shonan Meet. Rep. 2019 (2019)
Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
Visual SLAM: Why Bundle Adjust? CoRR (2019)
Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
Visual SLAM: Why Bundle Adjust? ICRA (2019)
Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
Consensus Maximization Tree Search Revisited. CoRR (2019)
Bo Chen, Tat-Jun Chin, Nan Li
BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. CoRR (2019)
Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. CoRR (2019)
Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid
Scalable Place Recognition Under Appearance Change for Autonomous Driving. ICCV (2019)
Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints. CoRR (2019)
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid
Visual Localization under Appearance Change: A Filtering Approach. DICTA (2019)
Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid
Scalable Place Recognition Under Appearance Change for Autonomous Driving. CoRR (2019)
Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
Star Tracking Using an Event Camera. CVPR Workshops (2019)
Tat-Jun Chin, Samya Bagchi
Event-based Star Tracking via Multiresolution Progressive Hough Transforms. CoRR (2019)
Tat-Jun Chin, Zhipeng Cai, Frank Neumann
Robust Fitting in Computer Vision: Easy or Hard? ECCV (12) (2018)
Qianggong Zhang, Tat-Jun Chin
Coresets for Triangulation. IEEE Trans. Pattern Anal. Mach. Intell. 40 (9) (2018)
Qianggong Zhang, Tat-Jun Chin, Huu M. Le
A Fast Resection-Intersection Method for the Known Rotation Problem. CVPR (2018)
Álvaro Parra Bustos, Tat-Jun Chin
Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 40 (12) (2018)
Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter
Non-smooth M-estimator for Maximum Consensus Estimation. BMVC (2018)
Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin
G2D: from GTA to Data. CoRR (2018)
Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
Star Tracking using an Event Camera. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tat-Jun Chin