Tat-Jun Chin - RankMe

229 papers A* 42A 9B 5C 1Misc 15Journal 115Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Event-Based Star Tracking Under Spacecraft Jitter: The e-STURT Dataset. IEEE Trans. Aerosp. Electron. Syst. Samya Bagchi, Peter Anastasiou, Matthew Tetlow, Tat-Jun Chin, Yasir Latif
2026	J	`jnl`	MoBind: Motion Binding for Fine-Grained IMU-Video Pose Alignment. CoRR Duc Duy Nguyen, Tat-Jun Chin, Minh Hoai
2026	J	`jnl`	Vision Foundation Models for Domain Generalisable Cross-View Localisation in Planetary Ground-Aerial Robotic Teams. CoRR Lachlan Holden, Feras Dayoub, Alberto Candela, David Harvey, Tat-Jun Chin
2025	J	`jnl`	AI-Enabled Crater-Based Navigation for Lunar Mapping. CoRR Sofia McLeod, Chee Kheng Chng, Matthew Rodda, Tat-Jun Chin
2025	J	`jnl`	Direct Initial Orbit Determination. IEEE Trans. Aerosp. Electron. Syst. Chee-Kheng Chng, Trent Jansen-Sturgeon, Timothy Payne, Tat-Jun Chin
2025	—	`conf`	Event-Based Spinning Object SLAM. ICCVW Ethan Elms, Yasir Latif, Tat-Jun Chin
2025	—	`conf`	Event-Driven Robust Fitting on Neuromorphic Hardware. ICCVW Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai, Tat-Jun Chin
2025	J	`jnl`	Event-RGB Fusion for Spacecraft Pose Estimation Under Harsh Lighting. CoRR Abdul Mohsi Jawaid, Marcus Märtens, Tat-Jun Chin
2025	J	`jnl`	Event-based Star Tracking under Spacecraft Jitter: the e-STURT Dataset. CoRR Samya Bagchi, Peter Anastasiou, Matthew Tetlow, Tat-Jun Chin, Yasir Latif
2025	J	`jnl`	Event-driven Robust Fitting on Neuromorphic Hardware. CoRR Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai, Tat-Jun Chin
2025	—	`conf`	Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud Scenes. ACPR (1) Ryan Faulkner, Luke Haub, Simon Ratcliffe, Tat-Jun Chin
2025	J	`jnl`	Finding Outliers in a Haystack: Anomaly Detection for Large Pointcloud Scenes. CoRR Ryan Faulkner, Luke Haub, Simon Ratcliffe, Tat-Jun Chin
2025	J	`jnl`	First On-Orbit Demonstration of a Geospatial Foundation Model. CoRR Andrew Du, Roberto Del Prete, Alejandro Mousist, Nicholas M. Sanger, Fabrice Marre, Andrew Barton, Carl Seubert, Gabriele Meoni, Tat-Jun Chin
2025	J	`jnl`	Quantum-enhanced Computer Vision: Going Beyond Classical Algorithms. CoRR Natacha Kuete Meli, Shuteng Wang, Marcel Seelbach Benkner, Michele Sasdelli, Tat-Jun Chin, Tolga Birdal, Michael Möller, Vladislav Golyanik
2025	J	`jnl`	Robust Physical Adversarial Patches Using Dynamically Optimized Clusters. CoRR Harrison Bagley, Will Meakin, Simon Lucey, Yee Wei Law, Tat-Jun Chin
2025	A*	`conf`	Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. ICRA Chun-Jung Lin, Sourav Garg, Tat-Jun Chin, Feras Dayoub
2025	J	`jnl`	SceneEdited: A City-Scale Benchmark for 3D HD Map Updating via Image-Guided Change Detection. CoRR Chun-Jung Lin, Tat-Jun Chin, Sourav Garg, Feras Dayoub
2025	Misc	`conf`	Simultaneous Diffusion Sampling for Conditional LiDAR generation. DICTA Ryan Faulkner, Anh-Dzung Doan, Simon Ratcliffe, Luke Haub, Ian D. Reid, Tat-Jun Chin
2024	J	`jnl`	Assessing domain gap for continual domain adaptation in object detection. Comput. Vis. Image Underst. Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian Reid, Markus Wagner, Tat-Jun Chin
2024	J	`jnl`	Camera-Pose Robust Crater Detection from Chang'e 5. CoRR Matthew Rodda, Sofia McLeod, Ky Cuong Pham, Tat-Jun Chin
2024	J	`jnl`	Domain Adaptation for Satellite-Borne Multispectral Cloud Detection. Remote. Sens. Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin
2024	A*	`conf`	Event-based Structure-from-Orbit. CVPR Ethan Elms, Yasir Latif, Tae Ha Park, Tat-Jun Chin
2024	J	`jnl`	Event-based Structure-from-Orbit. CoRR Ethan Elms, Yasir Latif, Tae Ha Park, Tat-Jun Chin
2024	J	`jnl`	Guest Editorial: Special Issue on ACCV 2022. Int. J. Comput. Vis. Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
2024	A	`conf`	Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. BMVC Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2024	—	`conf`	Robust Fitting on a Gate Quantum Computer. ECCV (1) Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
2024	J	`jnl`	Robust Fitting on a Gate Quantum Computer. CoRR Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
2024	—	`conf`	Robust Perspective-n-Crater for Crater-based Camera Pose Estimation. CVPR Workshops 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
2024	J	`jnl`	Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. CoRR Chun-Jung Lin, Sourav Garg, Tat-Jun Chin, Feras Dayoub
2024	J	`jnl`	Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. IEEE Trans. Intell. Transp. Syst. Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Surabhi Gupta, Estelle Parra, Ian D. Reid, Markus Wagner
2024	J	`jnl`	Simultaneous Diffusion Sampling for Conditional LiDAR Generation. CoRR Ryan Faulkner, Luke Haub, Simon Ratcliffe, Anh-Dzung Doan, Ian D. Reid, Tat-Jun Chin
2024	A*	`conf`	Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover. NeurIPS Tam Nguyen, Anh-Dzung Doan, Zhipeng Cai, Tat-Jun Chin
2024	J	`jnl`	Synthetic Lunar Terrain: A Multimodal Open Dataset for Training and Evaluating Neuromorphic Vision Algorithms. CoRR Marcus Märtens, Kevin Farries, John Culton, Tat-Jun Chin
2024	J	`jnl`	TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation. CoRR Anh-Dzung Doan, Vu Minh Hieu Phan, Surabhi Gupta, Markus Wagner, Tat-Jun Chin, Ian Reid
2024	A	`conf`	Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation. IROS Abdul Mohsi Jawaid, Rajat Talak, Yasir Latif, Luca Carlone, Tat-Jun Chin
2024	J	`jnl`	Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation. CoRR Abdul Mohsi Jawaid, Rajat Talak, Yasir Latif, Luca Carlone, Tat-Jun Chin
2024	J	`jnl`	Weakly Supervised Test-Time Domain Adaptation for Object Detection. CoRR Anh-Dzung Doan, Bach Long Nguyen, Terry Lim, Madhuka Jayawardhana, Surabhi Gupta, Christophe Guettier, Ian Reid, Markus Wagner, Tat-Jun Chin
2023	J	`jnl`	Assessing Domain Gap for Continual Domain Adaptation in Object Detection. CoRR Anh-Dzung Doan, Bach Long Nguyen, Surabhi Gupta, Ian D. Reid, Markus Wagner, Tat-Jun Chin
2023	—	`ed.`	Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part I ACCV (1) Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
2023	—	`ed.`	Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part II ACCV (2) Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
2023	—	`ed.`	Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part III ACCV (3) Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
2023	—	`ed.`	Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part IV ACCV (4) Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
2023	—	`ed.`	Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part V ACCV (5) Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
2023	—	`ed.`	Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VI ACCV (6) Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
2023	—	`ed.`	Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VII ACCV (7) Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa
2023	J	`jnl`	Direct initial orbit determination. CoRR Chee-Kheng Chng, Trent Jansen-Sturgeon, Timothy Payne, Tat-Jun Chin
2023	J	`jnl`	Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection. CoRR Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin
2023	J	`jnl`	Federated Neural Radiance Fields. CoRR Lachlan Holden, Feras Dayoub, David Harvey, Tat-Jun Chin
2023	J	`jnl`	High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation. CoRR Yasir Latif, Peter Anastasiou, Yonhon Ng, Zebb Prime, Tien-Fu Lu, Matthew Tetlow, Robert E. Mahony, Tat-Jun Chin
2023	J	`jnl`	Projected Stochastic Gradient Descent with Quantum Annealed Binary Gradients. CoRR Maximilian Krahn, Michele Sasdelli, Frances Fengyi Yang, Vladislav Golyanik, Juho Kannala, Tat-Jun Chin, Tolga Birdal
2023	J	`jnl`	ROSIA: Rotation-Search-Based Star Identification Algorithm. IEEE Trans. Aerosp. Electron. Syst. Chee-Kheng Chng, Álvaro Parra Bustos, Benjamin McCarthy, Tat-Jun Chin
2023	Misc	`conf`	Semantic Segmentation on 3D Point Clouds with High Density Variations. DICTA Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin
2023	J	`jnl`	Semantic Segmentation on 3D Point Clouds with High Density Variations. CoRR Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin
2023	J	`jnl`	Sensor Allocation and Online-Learning-based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. CoRR Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Estelle Parra, Ian D. Reid, Markus Wagner
2023	A*	`conf`	Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. ICRA Abdul Mohsi Jawaid, Ethan Elms, Yasir Latif, Tat-Jun Chin
2023	J	`jnl`	Training Multilayer Perceptrons by Sampling with Quantum Annealers. CoRR Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin
2022	A*	`conf`	A Hybrid Quantum-Classical Algorithm for Robust Fitting. CVPR Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
2022	J	`jnl`	A Hybrid Quantum-Classical Algorithm for Robust Fitting. CoRR Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
2022	—	`conf`	Asynchronous Kalman Filter for Event-Based Star Tracking. ECCV Workshops (1) Yonhon Ng, Yasir Latif, Tat-Jun Chin, Robert E. Mahony
2022	A*	`conf`	Asynchronous Optimisation for Event-based Visual Odometry. ICRA Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
2022	J	`jnl`	Asynchronous Optimisation for Event-based Visual Odometry. CoRR Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid
2022	J	`jnl`	Auto-Rectify Network for Unsupervised Indoor Depth Estimation. IEEE Trans. Pattern Anal. Mach. Intell. Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian D. Reid
2022	A*	`conf`	Autonomy and Perception for Space Mining. ICRA 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
2022	—	`conf`	Globally Optimal Event-Based Divergence Estimation for Ventral Landing. ECCV Workshops (1) Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin
2022	J	`jnl`	Globally Optimal Event-Based Divergence Estimation for Ventral Landing. CoRR Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin
2022	A*	`conf`	Maximum Consensus by Weighted Influences of Monotone Boolean Functions. CVPR Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani
2022	A	`conf`	Occlusion-Robust Object Pose Estimation with Holistic Representation. WACV Bo Chen, Tat-Jun Chin, Marius Klimavicius
2022	A	`conf`	Physical Adversarial Attacks on an Aerial Imagery Object Detector. WACV Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
2022	J	`jnl`	ROSIA: Rotation-Search-Based Star Identification Algorithm. CoRR Chee-Kheng Chng, Álvaro Parra Bustos, Benjamin McCarthy, Tat-Jun Chin
2022	J	`jnl`	Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. CoRR Abdul Mohsi Jawaid, Ethan Elms, Yasir Latif, Tat-Jun Chin
2022	—	`conf`	Update Compression for Deep Neural Networks on the Edge. CVPR Workshops Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
2022	J	`jnl`	Update Compression for Deep Neural Networks on the Edge. CoRR Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
2021	Misc	`conf`	A Chaos Theory Approach to Understand Neural Network Optimization. DICTA Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro
2021	—	`conf`	A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CVPR Workshops Dung Anh Hoang, Bo Chen, Tat-Jun Chin
2021	J	`jnl`	A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CoRR Dung Anh Hoang, Bo Chen, Tat-Jun Chin
2021	J	`jnl`	Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector. CoRR Andrew Du, Yee Wei Law, Michele Sasdelli, Bo Chen, Ken Clarke, Michael S. Brown, Tat-Jun Chin
2021	A*	`conf`	Consensus Maximisation Using Influences of Monotone Boolean Functions. CVPR Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
2021	J	`jnl`	Consensus Maximisation Using Influences of Monotone Boolean Functions. CoRR Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
2021	J	`jnl`	Deterministic Approximate Methods for Maximum Consensus Robust Fitting. IEEE Trans. Pattern Anal. Mach. Intell. Huu Le, Tat-Jun Chin, Anders P. Eriksson, Thanh-Toan Do, David Suter
2021	J	`jnl`	HM⁴: Hidden Markov Model With Memory Management for Visual Place Recognition. IEEE Robotics Autom. Lett. Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid
2021	A*	`conf`	Learning to Predict Repeatability of Interest Points. ICRA Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae
2021	J	`jnl`	Learning to Predict Repeatability of Interest Points. CoRR Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae
2021	J	`jnl`	Maximum Consensus by Weighted Influences of Monotone Boolean Functions. CoRR Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani
2021	J	`jnl`	Occlusion-Robust Object Pose Estimation with Holistic Representation. CoRR Bo Chen, Tat-Jun Chin, Marius Klimavicius
2021	J	`jnl`	Physical Adversarial Attacks on an Aerial Imagery Object Detector. CoRR Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
2021	Misc	`conf`	Quantum Annealing Formulation for Binary Neural Networks. DICTA Michele Sasdelli, Tat-Jun Chin
2021	J	`jnl`	Quantum Annealing Formulation for Binary Neural Networks. CoRR Michele Sasdelli, Tat-Jun Chin
2021	J	`jnl`	Robotic Vision for Space Mining. CoRR 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
2021	J	`jnl`	Rotation Averaging with the Chordal Distance: Global Minimizers and Strong Duality. IEEE Trans. Pattern Anal. Mach. Intell. Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin
2021	A*	`conf`	Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CVPR Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian Reid
2021	J	`jnl`	Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. CoRR Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
2021	J	`jnl`	Semantics for Robotic Mapping, Perception and Interaction: A Survey. CoRR 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
2021	A*	`conf`	Spatiotemporal Registration for Event-Based Visual Odometry. CVPR Daqi Liu, Álvaro Parra, Tat-Jun Chin
2021	J	`jnl`	Spatiotemporal Registration for Event-based Visual Odometry. CoRR Daqi Liu, Álvaro Parra, Tat-Jun Chin
2021	—	`conf`	Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. CVPR Workshops Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo
2021	J	`jnl`	Visual localization under appearance change: filtering approaches. Neural Comput. Appl. Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian Reid
2020	J	`jnl`	Accelerated Guided Sampling for Multistructure Model Fitting. IEEE Trans. Cybern. Taotao Lai, Hanzi Wang, Yan Yan, Tat-Jun Chin, Jin Zheng, Bo Li
2020	—	`conf`	Anomaly Detection via Neighbourhood Contrast. PAKDD (2) Bo Chen, Kai Ming Ting, Tat-Jun Chin
2020	A*	`conf`	End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. CVPR Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin
2020	A	`conf`	Event-based Star Tracking via Multiresolution Progressive Hough Transforms. WACV Samya Bagchi, Tat-Jun Chin
2020	A*	`conf`	Globally Optimal Contrast Maximisation for Event-Based Motion Estimation. CVPR Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin
2020	J	`jnl`	Globally Optimal Contrast Maximisation for Event-based Motion Estimation. CoRR Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin
2020	J	`jnl`	HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. CoRR Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid
2020	Misc	`conf`	Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. DICTA Chee-Kheng Chng, Álvaro Parra, Tat-Jun Chin, Yasir Latif
2020	J	`jnl`	Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. CoRR Chee-Kheng Chng, Álvaro Parra, Tat-Jun Chin, Yasir Latif
2020	J	`jnl`	Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon. CoRR David Suter, Ruwan B. Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
2020	—	`conf`	NeuRoRA: Neural Robust Rotation Averaging. ECCV (24) Pulak Purkait, Tat-Jun Chin, Ian Reid
2020	—	`conf`	Quantum Robust Fitting. ACCV (1) Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach
2020	J	`jnl`	Quantum Robust Fitting. CoRR Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach
2020	A*	`conf`	Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints ICRA Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui
2020	J	`jnl`	Robust Fitting in Computer Vision: Easy or Hard? Int. J. Comput. Vis. Tat-Jun Chin, Zhipeng Cai, Frank Neumann
2020	A*	`conf`	SPRINT: Subgraph Place Recognition for INtelligent Transportation. ICRA Yasir Latif, Anh-Dzung Doan, Tat-Jun Chin, Ian Reid
2020	J	`jnl`	Semantics for Robotic Mapping, Perception and Interaction: A Survey. Found. Trends Robotics 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
2020	J	`jnl`	Topological Sweep for Multi-Target Detection of Geostationary Space Objects. CoRR Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten
2020	J	`jnl`	Topological Sweep for Multi-Target Detection of Geostationary Space Objects. IEEE Trans. Signal Process. Daqi Liu, Bo Chen, Tat-Jun Chin, Mark G. Rutten
2020	J	`jnl`	Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue. CoRR Jia-Wang Bian, Huangying Zhan, Naiyan Wang, Tat-Jun Chin, Chunhua Shen, Ian Reid
2019	J	`jnl`	A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints. CoRR Álvaro Parra Bustos, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann
2019	J	`jnl`	BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. CoRR Bo Chen, Tat-Jun Chin, Nan Li
2019	A*	`conf`	Consensus Maximization Tree Search Revisited. ICCV Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
2019	J	`jnl`	Consensus Maximization Tree Search Revisited. CoRR Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun
2019	J	`jnl`	Event-based Star Tracking via Multiresolution Progressive Hough Transforms. CoRR Tat-Jun Chin, Samya Bagchi
2019	J	`jnl`	NeuRoRA: Neural Robust Rotation Averaging. CoRR Pulak Purkait, Tat-Jun Chin, Ian D. Reid
2019	J	`jnl`	Optimization Methods in Geometric Vision (NII Shonan Meeting 140). NII Shonan Meet. Rep. Tat-Jun Chin, Anders P. Eriksson, Yasuyuki Matsushita
2019	A	`conf`	Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion. IROS Shin-Fang Ch'ng, Alireza Khosravian, Anh-Dzung Doan, Tat-Jun Chin
2019	J	`jnl`	Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints. CoRR Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui
2019	—	`conf`	Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. ICCV Workshops Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
2019	J	`jnl`	Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. CoRR Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
2019	A*	`conf`	Scalable Place Recognition Under Appearance Change for Autonomous Driving. ICCV Dzung A. Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid
2019	J	`jnl`	Scalable Place Recognition Under Appearance Change for Autonomous Driving. CoRR Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Thanh-Toan Do, Ian D. Reid
2019	—	`conf`	Star Tracking Using an Event Camera. CVPR Workshops Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
2019	Misc	`conf`	Visual Localization under Appearance Change: A Filtering Approach. DICTA Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Yu Liu, Shin-Fang Ch'ng, Thanh-Toan Do, Ian D. Reid
2019	A*	`conf`	Visual SLAM: Why Bundle Adjust? ICRA Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
2019	J	`jnl`	Visual SLAM: Why Bundle Adjust? CoRR Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid
2018	A*	`conf`	A Fast Resection-Intersection Method for the Known Rotation Problem. CVPR Qianggong Zhang, Tat-Jun Chin, Huu M. Le
2018	J	`jnl`	Coresets for Triangulation. IEEE Trans. Pattern Anal. Mach. Intell. Qianggong Zhang, Tat-Jun Chin
2018	—	`conf`	Deterministic Consensus Maximization with Biconvex Programming. ECCV (12) Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
2018	J	`jnl`	Deterministic consensus maximization with biconvex programming. CoRR Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
2018	J	`jnl`	G2D: from GTA to Data. CoRR Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin
2018	J	`jnl`	Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. Álvaro Parra Bustos, Tat-Jun Chin
2018	A	`conf`	Non-smooth M-estimator for Maximum Consensus Estimation. BMVC Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter
2018	A*	`conf`	Practical Motion Segmentation for Urban Street View Scenes. ICRA Cosimo Rubino, Alessio Del Bue, Tat-Jun Chin
2018	J	`jnl`	Practical Visual Localization for Autonomous Driving: Why Not Filter? CoRR Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid
2018	J	`jnl`	Practical optimal registration of terrestrial LiDAR scan pairs. CoRR Zhipeng Cai, Tat-Jun Chin, Álvaro Parra Bustos, Konrad Schindler
2018	—	`conf`	Robust Fitting in Computer Vision: Easy or Hard? ECCV (12) Tat-Jun Chin, Zhipeng Cai, Frank Neumann
2018	J	`jnl`	Robust Fitting in Computer Vision: Easy or Hard? CoRR Tat-Jun Chin, Zhipeng Cai, Frank Neumann
2018	A*	`conf`	Rotation Averaging and Strong Duality. CVPR Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin
2018	J	`jnl`	Star Tracking using an Event Camera. CoRR Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
2017	J	`jnl`	A Branch-and-Bound Algorithm for Checkerboard Extraction in Camera-Laser Calibration. CoRR Alireza Khosravian, Tat-Jun Chin, Ian D. Reid
2017	J	`jnl`	A Discrete-Time Attitude Observer on SO(3) for Vision and GPS Fusion. CoRR Alireza Khosravian, Tat-Jun Chin, Ian D. Reid, Robert E. Mahony
2017	A*	`conf`	A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. ICRA Alireza Khosravian, Tat-Jun Chin, Ian D. Reid
2017	A*	`conf`	A discrete-time attitude observer on SO(3) for vision and GPS fusion. ICRA Alireza Khosravian, Tat-Jun Chin, Ian D. Reid, Robert E. Mahony
2017	A*	`conf`	An Exact Penalty Method for Locally Convergent Maximum Consensus. CVPR Huu Le, Tat-Jun Chin, David Suter
2017	J	`jnl`	Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Trans. Pattern Anal. Mach. Intell. Pulak Purkait, Tat-Jun Chin, Alireza Sadri, David Suter
2017	J	`jnl`	Coresets for Triangulation. CoRR Qianggong Zhang, Tat-Jun Chin
2017	J	`jnl`	Deterministic Approximate Methods for Maximum Consensus Robust Fitting. CoRR Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter
2017	J	`jnl`	Efficient Globally Optimal Consensus Maximisation with Tree Search. IEEE Trans. Pattern Anal. Mach. Intell. Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter
2017	J	`jnl`	Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. CoRR Álvaro Parra Bustos, Tat-Jun Chin
2017	J	`jnl`	Motion Segmentation Via a Sparsity Constraint. IEEE Trans. Intell. Transp. Syst. Taotao Lai, Hanzi Wang, Yan Yan, Tat-Jun Chin, Wanlei Zhao
2017	A*	`conf`	Quasiconvex Plane Sweep for Triangulation with Outliers. ICCV Qianggong Zhang, Tat-Jun Chin, David Suter
2017	Misc	`conf`	RATSAC - Random Tree Sampling for Maximum Consensus Estimation. DICTA Huu Le, Tat-Jun Chin, David Suter
2017	—	`book`	The Maximum Consensus Problem: Recent Algorithmic Advances Tat-Jun Chin, David Suter
2017	J	`jnl`	Why Rotation Averaging is Easy. CoRR Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Olof Enqvist, Tat-Jun Chin
2016	A*	`conf`	A Consensus-Based Framework for Distributed Bundle Adjustment. CVPR Anders P. Eriksson, John Bastian, Tat-Jun Chin, Mats Isaksson
2016	—	`conf`	An Efficient Meta-Algorithm for Triangulation. ACCV Workshops (2) Qianggong Zhang, Tat-Jun Chin
2016	A*	`conf`	Conformal Surface Alignment with Optimal Möbius Search. CVPR Huu Le, Tat-Jun Chin, David Suter
2016	J	`jnl`	Correspondence Insertion for As-Projective-As-Possible Image Stitching. CoRR William X. Liu, Tat-Jun Chin
2016	A*	`conf`	Efficient Point Process Inference for Large-Scale Object Detection. CVPR Trung T. Pham, Seyed Hamid Rezatofighi, Ian D. Reid, Tat-Jun Chin
2016	J	`jnl`	Fast Rotation Search with Stereographic Projections for 3D Registration. IEEE Trans. Pattern Anal. Mach. Intell. Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Hongdong Li, David Suter
2016	A*	`conf`	Guaranteed Outlier Removal with Mixed Integer Linear Programs. CVPR Tat-Jun Chin, Yang Heng Kee, Anders P. Eriksson, Frank Neumann
2015	A*	`conf`	Efficient globally optimal consensus maximisation with tree search. CVPR Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter
2015	A*	`conf`	Guaranteed Outlier Removal for Rotation Search. ICCV Álvaro Parra Bustos, Tat-Jun Chin
2015	A	`conf`	High Breakdown Bundle Adjustment. WACV Anders P. Eriksson, Mats Isaksson, Tat-Jun Chin
2015	Misc	`conf`	Smooth Globally Warp Locally: Video Stabilization Using Homography Fields. DICTA William X. Liu, Tat-Jun Chin
2015	A*	`conf`	The k-support norm and convex envelopes of cardinality and rank. CVPR Anders P. Eriksson, Trung-Thanh Pham, Tat-Jun Chin, Ian D. Reid
2014	J	`jnl`	An Adversarial Optimization Approach to Efficient Outlier Removal. J. Math. Imaging Vis. Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter
2014	J	`jnl`	As-Projective-As-Possible Image Stitching with Moving DLT. IEEE Trans. Pattern Anal. Mach. Intell. Julio Zaragoza, Tat-Jun Chin, Quoc-Huy Tran, Michael S. Brown, David Suter
2014	—	`conf`	Clustering with Hypergraphs: The Case for Large Hyperedges. ECCV (4) Pulak Purkait, Tat-Jun Chin, Hanno Ackermann, David Suter
2014	A*	`conf`	Fast Rotation Search with Stereographic Projections for 3D Registration. CVPR Álvaro Joaquin Parra Bustos, Tat-Jun Chin, David Suter
2014	—	`conf`	Fast rotation search for real-time interactive point cloud registration. I3D Tat-Jun Chin, Álvaro Parra Bustos, Michael S. Brown, David Suter
2014	J	`jnl`	Interacting Geometric Priors For Robust Multimodel Fitting. IEEE Trans. Image Process. Trung-Thanh Pham, Tat-Jun Chin, Konrad Schindler, David Suter
2014	—	`conf`	Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights. EMMCVPR Hanno Ackermann, Björn Scheuermann, Tat-Jun Chin, Bodo Rosenhahn
2014	J	`jnl`	Sampling Minimal Subsets with Large Spans for Robust Estimation. Int. J. Comput. Vis. Quoc-Huy Tran, Tat-Jun Chin, Wojciech Chojnacki, David Suter
2014	J	`jnl`	The Random Cluster Model for Robust Geometric Fitting. IEEE Trans. Pattern Anal. Mach. Intell. Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter
2014	J	`jnl`	Visual tracking via weakly supervised learning from multiple imperfect oracles. Pattern Recognit. Bineng Zhong, Hongxun Yao, Sheng Chen, Rongrong Ji, Tat-Jun Chin, Hanzi Wang
2013	J	`jnl`	A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements. IEEE J. Sel. Top. Signal Process. Thuraiappah Sathyan, Tat-Jun Chin, Sanjeev Arulampalam, David Suter
2013	J	`jnl`	A simultaneous sample-and-filter strategy for robust multi-structure model fitting. Comput. Vis. Image Underst. Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2013	A*	`conf`	As-Projective-As-Possible Image Stitching with Moving DLT. CVPR Julio Zaragoza, Tat-Jun Chin, Michael S. Brown, David Suter
2013	Misc	`conf`	Closed-Loop Deep Vision. DICTA Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin
2013	—	`conf`	Fuzzy clustering based encoding for Visual Object Classification. IFSA/NAFIPS Danilo Dell'Agnello, Gustavo Carneiro, Tat-Jun Chin, Giovanna Castellano, Anna Maria Fanelli
2013	C	`conf`	Improved wireless tracking using radio frequency and video sensors. FUSION Thuraiappah Sathyan, Tat-Jun Chin, David Suter, Mark Hedley
2013	J	`jnl`	Mode seeking over permutations for rapid geometric model fitting. Pattern Recognit. Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2013	Misc	`conf`	Point Correspondence Validation under Unknown Radial Distortion. DICTA William X. Liu, Tat-Jun Chin, Gustavo Carneiro, David Suter
2013	—	`conf`	Seam-Driven Image Stitching. Eurographics (Short Papers) Junhong Gao, Yu Li, Tat-Jun Chin, Michael S. Brown
2012	J	`jnl`	Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis. IEEE Trans. Pattern Anal. Mach. Intell. Tat-Jun Chin, Jin Yu, David Suter
2012	Misc	`conf`	Adaptive human silhouette reconstruction based on the exploration of temporal information. ICASSP Xue Zhou, Xi Li, Tat-Jun Chin, David Suter
2012	—	`conf`	In Defence of RANSAC for Outlier Rejection in Deformable Registration. ECCV (4) Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter
2012	B	`conf`	Matting-driven online learning of Hough forests for object tracking. ICPR Tao Qin, Bineng Zhong, Tat-Jun Chin, Hanzi Wang
2012	J	`jnl`	Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers. IEEE Trans. Pattern Anal. Mach. Intell. Hanzi Wang, Tat-Jun Chin, David Suter
2012	B	`conf`	Superpixel-driven level set tracking. ICIP Xue Zhou, Xi Li, Tat-Jun Chin, David Suter
2012	A*	`conf`	The Random Cluster Model for robust geometric fitting. CVPR Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter
2011	A*	`conf`	A global optimization approach to robust multi-model fitting. CVPR Jin Yu, Tat-Jun Chin, David Suter
2011	A*	`conf`	An adversarial optimization approach to efficient outlier removal. ICCV Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter
2011	J	`jnl`	Boosting histograms of descriptor distances for scalable multiclass specific scene recognition. Image Vis. Comput. Tat-Jun Chin, David Suter, Hanzi Wang
2011	A*	`conf`	Dynamic and hierarchical multi-structure geometric model fitting. ICCV Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2011	J	`jnl`	Incremental Top-k List Comparison Approach to Robust Multi-Structure Model Fitting CoRR Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2011	—	`conf`	Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC. NIPS Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter
2010	—	`conf`	Accelerated Hypothesis Generation for Multi-structure Robust Fitting. ECCV (5) Tat-Jun Chin, Jin Yu, David Suter
2010	—	`conf`	Efficient Multi-structure Robust Fitting with Incremental Top- ACCV (4) Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
2010	A*	`conf`	Multi-structure model selection via kernel optimisation. CVPR Tat-Jun Chin, David Suter, Hanzi Wang
2010	Misc	`conf`	Visual localization and segmentation based on foreground/background modeling. ICASSP Hanzi Wang, Tat-Jun Chin, David Suter
2009	A*	`conf`	Keypoint induced distance profiles for visual recognition. CVPR Tat-Jun Chin, David Suter
2009	J	`jnl`	Mobile phone-based mixed reality: the Snap2Play game. Vis. Comput. Tat-Jun Chin, Yilun You, Céline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay
2009	A*	`conf`	Robust fitting of multiple structures: The statistical learning approach. ICCV Tat-Jun Chin, Hanzi Wang, David Suter
2009	—	`conf`	The Ordered Residual Kernel for Robust Motion Subspace Clustering. NIPS Tat-Jun Chin, Hanzi Wang, David Suter
2008	—	`conf`	Boosting descriptors condensed from video sequences for place recognition. CVPR Workshops Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim
2008	—	`conf`	Deploying and evaluating a mixed reality mobile treasure hunt: Snap2Play. Mobile HCI Yilun You, Tat-Jun Chin, Joo-Hwee Lim, Jean-Pierre Chevallet, Céline Coutrix, Laurence Nigay
2008	B	`conf`	Exact integral images at generic angles for 2D barcode detection. ICPR Tat-Jun Chin, Hanlin Goh, Ngan Meng Tan
2008	J	`jnl`	Out-of-Sample Extrapolation of Learned Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. Tat-Jun Chin, David Suter
2008	B	`conf`	Snap2Play: A Mixed-Reality Game Based on Scene Identification. MMM Tat-Jun Chin, Yilun You, Céline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay
2008	Misc	`conf`	Using densely recorded scenes for place recognition. ICASSP Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim
2007	—	`conf`	Extrapolating Learned Manifolds for Human Activity Recognition. ICIP (1) Tat-Jun Chin, Liang Wang, Konrad Schindler, David Suter
2007	J	`jnl`	Incremental Kernel Principal Component Analysis. IEEE Trans. Image Process. Tat-Jun Chin, David Suter
2006	—	`conf`	A New Distance Criterion for Face Recognition Using Image Sets. ACCV (1) Tat-Jun Chin, David Suter
2006	—	`conf`	Face Recognition From Video using Active Appearance Model Segmentation. ICPR (1) Nathan Faggian, Andrew P. Paplinski, Tat-Jun Chin
2006	B	`conf`	Improving the Speed of Kernel PCA on Large Scale Datasets. AVSS Tat-Jun Chin, David Suter
2006	A	`conf`	Incremental Kernel PCA for Efficient Non-linear Feature Extraction. BMVC Tat-Jun Chin, David Suter
2006	—	`conf`	Incremental Kernel SVD for Face Recognition with Image Sets. FGR Tat-Jun Chin, Konrad Schindler, David Suter
2005	Misc	`conf`	Face Recognition from Video by Matching Image Sets. DICTA Tat-Jun Chin, James U, Konrad Schindler, David Suter
2005	Misc	`conf`	Locally Linear Embedding for Markerless Human Motion Capture Using Multiple Cameras. DICTA Therdsak Tangkuampien, Tat-Jun Chin