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2020 – today
- 2024
[j34]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: 103885 (2024)- [j33]Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin:
Domain Adaptation for Satellite-Borne Multispectral Cloud Detection. Remote. Sens. 16(18): 3469 (2024) - [j32]Bach Long Nguyen, Anh-Dzung Doan, Tat-Jun Chin, Christophe Guettier, Surabhi Gupta, Estelle Parra, Ian D. Reid, Markus Wagner:
Sensor Allocation and Online-Learning-Based Path Planning for Maritime Situational Awareness Enhancement: A Multi-Agent Approach. IEEE Trans. Intell. Transp. Syst. 25(9): 11635-11647 (2024) - [c98]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:
Robust Perspective-n-Crater for Crater-based Camera Pose Estimation. CVPR Workshops 2024: 6760-6769 - [c97]Ethan Elms, Yasir Latif, Tae Ha Park, Tat-Jun Chin:
Event-based Structure-from-Orbit. CVPR 2024: 19541-19550 - [c96]Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin:
Robust Fitting on a Gate Quantum Computer. ECCV (1) 2024: 120-138 - [i66]Ethan Elms, Yasir Latif, Tae Ha Park, Tat-Jun Chin:
Event-based Structure-from-Orbit. CoRR abs/2405.06216 (2024) - [i65]Matthew Rodda, Sofia McLeod, Ky Cuong Pham, Tat-Jun Chin:
Camera-Pose Robust Crater Detection from Chang'e 5. CoRR abs/2406.04569 (2024) - [i64]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 abs/2407.05607 (2024) - [i63]Anh-Dzung Doan, Vu Minh Hieu Phan, Surabhi Gupta, Markus Wagner, Tat-Jun Chin, Ian Reid:
TC-PDM: Temporally Consistent Patch Diffusion Models for Infrared-to-Visible Video Translation. CoRR abs/2408.14227 (2024) - [i62]Marcus Märtens, Kevin Farries, John Culton, Tat-Jun Chin:
Synthetic Lunar Terrain: A Multimodal Open Dataset for Training and Evaluating Neuromorphic Vision Algorithms. CoRR abs/2408.16971 (2024) - [i61]Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin:
Robust Fitting on a Gate Quantum Computer. CoRR abs/2409.02006 (2024) - [i60]Abdul Mohsi Jawaid, Rajat Talak, Yasir Latif, Luca Carlone, Tat-Jun Chin:
Test-Time Certifiable Self-Supervision to Bridge the Sim2Real Gap in Event-Based Satellite Pose Estimation. CoRR abs/2409.06240 (2024) - [i59]Chun-Jung Lin, Sourav Garg, Tat-Jun Chin, Feras Dayoub:
Robust Scene Change Detection Using Visual Foundation Models and Cross-Attention Mechanisms. CoRR abs/2409.16850 (2024) - 2023
- [j31]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): 6469-6484 (2023) - [c95]Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin:
Semantic Segmentation on 3D Point Clouds with High Density Variations. DICTA 2023: 212-222 - [c94]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: 11866-11873 - [e7]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13841, Springer 2023, ISBN 978-3-031-26318-7 [contents] - [e6]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13842, Springer 2023, ISBN 978-3-031-26283-8 [contents] - [e5]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13843, Springer 2023, ISBN 978-3-031-26312-5 [contents] - [e4]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13844, Springer 2023, ISBN 978-3-031-26315-6 [contents] - [e3]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part V. Lecture Notes in Computer Science 13845, Springer 2023, ISBN 978-3-031-26347-7 [contents] - [e2]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VI. Lecture Notes in Computer Science 13846, Springer 2023, ISBN 978-3-031-26350-7 [contents] - [e1]Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa:
Computer Vision - ACCV 2022 - 16th Asian Conference on Computer Vision, Macao, China, December 4-8, 2022, Proceedings, Part VII. Lecture Notes in Computer Science 13847, Springer 2023, ISBN 978-3-031-26292-0 [contents] - [i58]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 abs/2302.10396 (2023) - [i57]Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin:
Training Multilayer Perceptrons by Sampling with Quantum Annealers. CoRR abs/2303.12352 (2023) - [i56]Lachlan Holden, Feras Dayoub, David Harvey, Tat-Jun Chin:
Federated Neural Radiance Fields. CoRR abs/2305.01163 (2023) - [i55]Ryan Faulkner, Luke Haub, Simon Ratcliffe, Ian D. Reid, Tat-Jun Chin:
Semantic Segmentation on 3D Point Clouds with High Density Variations. CoRR abs/2307.01489 (2023) - [i54]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 abs/2307.02790 (2023) - [i53]Chee-Kheng Chng, Trent Jansen-Sturgeon, Timothy Payne, Tat-Jun Chin:
Direct initial orbit determination. CoRR abs/2308.14298 (2023) - [i52]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 abs/2309.01361 (2023) - [i51]Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin:
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection. CoRR abs/2309.02150 (2023) - [i50]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 abs/2310.15128 (2023) - 2022
- [j30]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): 9802-9813 (2022) - [c93]Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CVPR 2022: 417-427 - [c92]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: 3075-3085 - [c91]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: 8954-8962 - [c90]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: 3-20 - [c89]Yonhon Ng, Yasir Latif, Tat-Jun Chin, Robert E. Mahony:
Asynchronous Kalman Filter for Event-Based Star Tracking. ECCV Workshops (1) 2022: 66-79 - [c88]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: 4087-4093 - [c87]Daqi Liu, Álvaro Parra, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. ICRA 2022: 9432-9438 - [c86]Bo Chen, Tat-Jun Chin, Marius Klimavicius:
Occlusion-Robust Object Pose Estimation with Holistic Representation. WACV 2022: 2223-2233 - [c85]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: 3798-3808 - [i49]Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin:
A Hybrid Quantum-Classical Algorithm for Robust Fitting. CoRR abs/2201.10110 (2022) - [i48]Daqi Liu, Álvaro Parra Bustos, Yasir Latif, Bo Chen, Tat-Jun Chin, Ian D. Reid:
Asynchronous Optimisation for Event-based Visual Odometry. CoRR abs/2203.01037 (2022) - [i47]Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin:
Update Compression for Deep Neural Networks on the Edge. CoRR abs/2203.04516 (2022) - [i46]Abdul Mohsi Jawaid, Ethan Elms, Yasir Latif, Tat-Jun Chin:
Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing. CoRR abs/2209.11945 (2022) - [i45]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 abs/2209.13168 (2022) - [i44]Chee-Kheng Chng, Álvaro Parra Bustos, Benjamin McCarthy, Tat-Jun Chin:
ROSIA: Rotation-Search-Based Star Identification Algorithm. CoRR abs/2210.00429 (2022) - 2021
- [j29]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): 7325-7338 (2021) - [j28]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): 256-268 (2021) - [j27]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): 842-857 (2021) - [j26]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): 167-174 (2021) - [c84]Dung Anh Hoang, Bo Chen, Tat-Jun Chin:
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CVPR Workshops 2021: 2012-2019 - [c83]Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo:
Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge. CVPR Workshops 2021: 2086-2094 - [c82]Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar:
Consensus Maximisation Using Influences of Monotone Boolean Functions. CVPR 2021: 2866-2875 - [c81]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: 4298-4307 - [c80]Daqi Liu, Álvaro Parra, Tat-Jun Chin:
Spatiotemporal Registration for Event-Based Visual Odometry. CVPR 2021: 4937-4946 - [c79]Michele Sasdelli, Thalaiyasingam Ajanthan, Tat-Jun Chin, Gustavo Carneiro:
A Chaos Theory Approach to Understand Neural Network Optimization. DICTA 2021: 1-10 - [c78]Michele Sasdelli, Tat-Jun Chin:
Quantum Annealing Formulation for Binary Neural Networks. DICTA 2021: 1-10 - [c77]Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae:
Learning to Predict Repeatability of Interest Points. ICRA 2021: 10294-10301 - [i43]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 abs/2101.00443 (2021) - [i42]Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar:
Consensus Maximisation Using Influences of Monotone Boolean Functions. CoRR abs/2103.04200 (2021) - [i41]Daqi Liu, Álvaro Parra, Tat-Jun Chin:
Spatiotemporal Registration for Event-based Visual Odometry. CoRR abs/2103.05955 (2021) - [i40]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 abs/2103.08292 (2021) - [i39]Anh-Dzung Doan, Daniyar Turmukhambetov, Yasir Latif, Tat-Jun Chin, Soohyun Bae:
Learning to Predict Repeatability of Interest Points. CoRR abs/2105.03578 (2021) - [i38]Dung Anh Hoang, Bo Chen, Tat-Jun Chin:
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition. CoRR abs/2106.08186 (2021) - [i37]Michele Sasdelli, Tat-Jun Chin:
Quantum Annealing Formulation for Binary Neural Networks. CoRR abs/2107.02751 (2021) - [i36]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 abs/2108.11765 (2021) - [i35]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 abs/2109.12109 (2021) - [i34]Bo Chen, Tat-Jun Chin, Marius Klimavicius:
Occlusion-Robust Object Pose Estimation with Holistic Representation. CoRR abs/2110.11636 (2021) - [i33]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 abs/2112.00953 (2021) - [i32]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 abs/2112.01723 (2021) - 2020
- [j25]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): 1-224 (2020) - [j24]Tat-Jun Chin, Zhipeng Cai, Frank Neumann:
Robust Fitting in Computer Vision: Easy or Hard? Int. J. Comput. Vis. 128(3): 575-587 (2020) - [j23]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): 4530-4543 (2020) - [j22]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: 5166-5177 (2020) - [c76]Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach:
Quantum Robust Fitting. ACCV (1) 2020: 485-499 - [c75]Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin:
Globally Optimal Contrast Maximisation for Event-Based Motion Estimation. CVPR 2020: 6348-6357 - [c74]Bo Chen, Álvaro Parra, Jiewei Cao, Nan Li, Tat-Jun Chin:
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization. CVPR 2020: 8097-8106 - [c73]Chee-Kheng Chng, Álvaro Parra, Tat-Jun Chin, Yasir Latif:
Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. DICTA 2020: 1-8 - [c72]Pulak Purkait, Tat-Jun Chin, Ian Reid:
NeuRoRA: Neural Robust Rotation Averaging. ECCV (24) 2020: 137-154 - [c71]Yasir Latif, Anh-Dzung Doan, Tat-Jun Chin, Ian Reid:
SPRINT: Subgraph Place Recognition for INtelligent Transportation. ICRA 2020: 5408-5414 - [c70]Shin-Fang Ch'ng, Naoya Sogi, Pulak Purkait, Tat-Jun Chin, Kazuhiro Fukui:
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints*. ICRA 2020: 9680-9686 - [c69]Bo Chen, Kai Ming Ting, Tat-Jun Chin:
Anomaly Detection via Neighbourhood Contrast. PAKDD (2) 2020: 647-659 - [c68]Samya Bagchi, Tat-Jun Chin:
Event-based Star Tracking via Multiresolution Progressive Hough Transforms. WACV 2020: 2132-2141 - [i31]Daqi Liu, Álvaro Parra Bustos, Tat-Jun Chin:
Globally Optimal Contrast Maximisation for Event-based Motion Estimation. CoRR abs/2002.10686 (2020) - [i30]Daqi Liu, Bo Chen, Tat-Jun Chin, Mark Rutten:
Topological Sweep for Multi-Target Detection of Geostationary Space Objects. CoRR abs/2003.09583 (2020) - [i29]David Suter, Ruwan B. Tennakoon, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar:
Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon. CoRR abs/2005.05490 (2020) - [i28]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 abs/2006.02708 (2020) - [i27]Tat-Jun Chin, David Suter, Shin-Fang Ch'ng, James Quach:
Quantum Robust Fitting. CoRR abs/2006.06986 (2020) - [i26]Chee-Kheng Chng, Álvaro Parra, Tat-Jun Chin, Yasir Latif:
Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure. CoRR abs/2010.01872 (2020) - [i25]Anh-Dzung Doan, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition. CoRR abs/2011.00450 (2020)
2010 – 2019
- 2019
- [c67]Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik:
Star Tracking Using an Event Camera. CVPR Workshops 2019: 1646-1655 - [c66]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: 1-8 - [c65]Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun:
Consensus Maximization Tree Search Revisited. ICCV 2019: 1637-1645 - [c64]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: 9318-9327 - [c63]Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin:
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. ICCV Workshops 2019: 2816-2824 - [c62]Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid:
Visual SLAM: Why Bundle Adjust? ICRA 2019: 2385-2391 - [c61]Shin-Fang Ch'ng, Alireza Khosravian, Anh-Dzung Doan, Tat-Jun Chin:
Outlier-Robust Manifold Pre-Integration for INS/GPS Fusion. IROS 2019: 7489-7496 - [i24]Álvaro Parra Bustos, Tat-Jun Chin, Frank Neumann, Tobias Friedrich, Maximilian Katzmann:
A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints. CoRR abs/1902.01534 (2019) - [i23]Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Ian D. Reid:
Visual SLAM: Why Bundle Adjust? CoRR abs/1902.03747 (2019) - [i22]Tat-Jun Chin, Samya Bagchi:
Event-based Star Tracking via Multiresolution Progressive Hough Transforms. CoRR abs/1906.07866 (2019) - [i21]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 abs/1908.00178 (2019) - [i20]Zhipeng Cai, Tat-Jun Chin, Vladlen Koltun:
Consensus Maximization Tree Search Revisited. CoRR abs/1908.02021 (2019) - [i19]Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin:
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement. CoRR abs/1908.11542 (2019) - [i18]Bo Chen, Tat-Jun Chin, Nan Li:
BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization. CoRR abs/1909.06043 (2019) - [i17]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 abs/1909.11888 (2019) - [i16]Pulak Purkait, Tat-Jun Chin, Ian D. Reid:
NeuRoRA: Neural Robust Rotation Averaging. CoRR abs/1912.04485 (2019) - [i15]Tat-Jun Chin, Anders P. Eriksson, Yasuyuki Matsushita:
Optimization Methods in Geometric Vision (NII Shonan Meeting 140). NII Shonan Meet. Rep. 2019 (2019) - 2018
- [j21]Qianggong Zhang, Tat-Jun Chin:
Coresets for Triangulation. IEEE Trans. Pattern Anal. Mach. Intell. 40(9): 2095-2108 (2018) - [j20]Álvaro Parra Bustos, Tat-Jun Chin:
Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. IEEE Trans. Pattern Anal. Mach. Intell. 40(12): 2868-2882 (2018) - [c60]Huu Le, Anders P. Eriksson, Thanh-Toan Do, Tat-Jun Chin, David Suter:
Non-smooth M-estimator for Maximum Consensus Estimation. BMVC 2018: 4 - [c59]Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Tat-Jun Chin:
Rotation Averaging and Strong Duality. CVPR 2018: 127-135 - [c58]Qianggong Zhang, Tat-Jun Chin, Huu M. Le:
A Fast Resection-Intersection Method for the Known Rotation Problem. CVPR 2018: 3012-3021 - [c57]Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter:
Deterministic Consensus Maximization with Biconvex Programming. ECCV (12) 2018: 699-714 - [c56]Tat-Jun Chin, Zhipeng Cai, Frank Neumann:
Robust Fitting in Computer Vision: Easy or Hard? ECCV (12) 2018: 715-730 - [c55]Cosimo Rubino, Alessio Del Bue, Tat-Jun Chin:
Practical Motion Segmentation for Urban Street View Scenes. ICRA 2018: 1879-1886 - [i14]Tat-Jun Chin, Zhipeng Cai, Frank Neumann:
Robust Fitting in Computer Vision: Easy or Hard? CoRR abs/1802.06464 (2018) - [i13]Anh-Dzung Doan, Abdul Mohsi Jawaid, Thanh-Toan Do, Tat-Jun Chin:
G2D: from GTA to Data. CoRR abs/1806.07381 (2018) - [i12]Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter:
Deterministic consensus maximization with biconvex programming. CoRR abs/1807.09436 (2018) - [i11]Anh-Dzung Doan, Thanh-Toan Do, Yasir Latif, Tat-Jun Chin, Ian D. Reid:
Practical Visual Localization for Autonomous Driving: Why Not Filter? CoRR abs/1811.08063 (2018) - [i10]Zhipeng Cai, Tat-Jun Chin, Álvaro Parra Bustos, Konrad Schindler:
Practical optimal registration of terrestrial LiDAR scan pairs. CoRR abs/1811.09962 (2018) - [i9]Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik:
Star Tracking using an Event Camera. CoRR abs/1812.02895 (2018) - 2017
- [b1]Tat-Jun Chin, David Suter:
The Maximum Consensus Problem: Recent Algorithmic Advances. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2017, ISBN 978-3-031-00690-6 - [j19]Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter:
Efficient Globally Optimal Consensus Maximisation with Tree Search. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 758-772 (2017) - [j18]Pulak Purkait, Tat-Jun Chin, Alireza Sadri, David Suter:
Clustering with Hypergraphs: The Case for Large Hyperedges. IEEE Trans. Pattern Anal. Mach. Intell. 39(9): 1697-1711 (2017) - [j17]Taotao Lai, Hanzi Wang, Yan Yan, Tat-Jun Chin, Wanlei Zhao:
Motion Segmentation Via a Sparsity Constraint. IEEE Trans. Intell. Transp. Syst. 18(4): 973-983 (2017) - [c54]Huu Le, Tat-Jun Chin, David Suter:
An Exact Penalty Method for Locally Convergent Maximum Consensus. CVPR 2017: 379-387 - [c53]Huu Le, Tat-Jun Chin, David Suter:
RATSAC - Random Tree Sampling for Maximum Consensus Estimation. DICTA 2017: 1-8 - [c52]Qianggong Zhang, Tat-Jun Chin, David Suter:
Quasiconvex Plane Sweep for Triangulation with Outliers. ICCV 2017: 920-928 - [c51]Alireza Khosravian, Tat-Jun Chin, Ian D. Reid, Robert E. Mahony:
A discrete-time attitude observer on SO(3) for vision and GPS fusion. ICRA 2017: 5688-5695 - [c50]Alireza Khosravian, Tat-Jun Chin, Ian D. Reid:
A branch-and-bound algorithm for checkerboard extraction in camera-laser calibration. ICRA 2017: 6495-6502 - [i8]Alireza Khosravian, Tat-Jun Chin, Ian D. Reid:
A Branch-and-Bound Algorithm for Checkerboard Extraction in Camera-Laser Calibration. CoRR abs/1704.00887 (2017) - [i7]Alireza Khosravian, Tat-Jun Chin, Ian D. Reid, Robert E. Mahony:
A Discrete-Time Attitude Observer on SO(3) for Vision and GPS Fusion. CoRR abs/1704.00888 (2017) - [i6]Anders P. Eriksson, Carl Olsson, Fredrik Kahl, Olof Enqvist, Tat-Jun Chin:
Why Rotation Averaging is Easy. CoRR abs/1705.01362 (2017) - [i5]Qianggong Zhang, Tat-Jun Chin:
Coresets for Triangulation. CoRR abs/1707.05466 (2017) - [i4]Huu Le, Tat-Jun Chin, Anders P. Eriksson, David Suter:
Deterministic Approximate Methods for Maximum Consensus Robust Fitting. CoRR abs/1710.10003 (2017) - [i3]Álvaro Parra Bustos, Tat-Jun Chin:
Guaranteed Outlier Removal for Point Cloud Registration with Correspondences. CoRR abs/1711.10209 (2017) - 2016
- [j16]Álvaro Parra Bustos, Tat-Jun Chin, Anders P. Eriksson, Hongdong Li, David Suter:
Fast Rotation Search with Stereographic Projections for 3D Registration. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2227-2240 (2016) - [c49]Qianggong Zhang, Tat-Jun Chin:
An Efficient Meta-Algorithm for Triangulation. ACCV Workshops (2) 2016: 148-161 - [c48]Anders P. Eriksson, John Bastian, Tat-Jun Chin, Mats Isaksson:
A Consensus-Based Framework for Distributed Bundle Adjustment. CVPR 2016: 1754-1762 - [c47]Huu Le, Tat-Jun Chin, David Suter:
Conformal Surface Alignment with Optimal Möbius Search. CVPR 2016: 2507-2516 - [c46]Trung T. Pham, Seyed Hamid Rezatofighi, Ian D. Reid, Tat-Jun Chin:
Efficient Point Process Inference for Large-Scale Object Detection. CVPR 2016: 2837-2845 - [c45]Tat-Jun Chin, Yang Heng Kee, Anders P. Eriksson, Frank Neumann:
Guaranteed Outlier Removal with Mixed Integer Linear Programs. CVPR 2016: 5858-5866 - [i2]William X. Liu, Tat-Jun Chin:
Correspondence Insertion for As-Projective-As-Possible Image Stitching. CoRR abs/1608.07997 (2016) - 2015
- [c44]Tat-Jun Chin, Pulak Purkait, Anders P. Eriksson, David Suter:
Efficient globally optimal consensus maximisation with tree search. CVPR 2015: 2413-2421 - [c43]Anders P. Eriksson, Trung-Thanh Pham, Tat-Jun Chin, Ian D. Reid:
The k-support norm and convex envelopes of cardinality and rank. CVPR 2015: 3349-3357 - [c42]William X. Liu, Tat-Jun Chin:
Smooth Globally Warp Locally: Video Stabilization Using Homography Fields. DICTA 2015: 1-8 - [c41]Álvaro Parra Bustos, Tat-Jun Chin:
Guaranteed Outlier Removal for Rotation Search. ICCV 2015: 2165-2173 - [c40]Anders P. Eriksson, Mats Isaksson, Tat-Jun Chin:
High Breakdown Bundle Adjustment. WACV 2015: 310-317 - 2014
- [j15]Quoc-Huy Tran, Tat-Jun Chin, Wojciech Chojnacki, David Suter:
Sampling Minimal Subsets with Large Spans for Robust Estimation. Int. J. Comput. Vis. 106(1): 93-112 (2014) - [j14]Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter:
An Adversarial Optimization Approach to Efficient Outlier Removal. J. Math. Imaging Vis. 48(3): 451-466 (2014) - [j13]Julio Zaragoza, Tat-Jun Chin, Quoc-Huy Tran, Michael S. Brown, David Suter:
As-Projective-As-Possible Image Stitching with Moving DLT. IEEE Trans. Pattern Anal. Mach. Intell. 36(7): 1285-1298 (2014) - [j12]Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter:
The Random Cluster Model for Robust Geometric Fitting. IEEE Trans. Pattern Anal. Mach. Intell. 36(8): 1658-1671 (2014) - [j11]Bineng Zhong, Hongxun Yao, Sheng Chen, Rongrong Ji, Tat-Jun Chin, Hanzi Wang:
Visual tracking via weakly supervised learning from multiple imperfect oracles. Pattern Recognit. 47(3): 1395-1410 (2014) - [j10]Trung-Thanh Pham, Tat-Jun Chin, Konrad Schindler, David Suter:
Interacting Geometric Priors For Robust Multimodel Fitting. IEEE Trans. Image Process. 23(10): 4601-4610 (2014) - [c39]Álvaro Joaquin Parra Bustos, Tat-Jun Chin, David Suter:
Fast Rotation Search with Stereographic Projections for 3D Registration. CVPR 2014: 3930-3937 - [c38]Pulak Purkait, Tat-Jun Chin, Hanno Ackermann, David Suter:
Clustering with Hypergraphs: The Case for Large Hyperedges. ECCV (4) 2014: 672-687 - [c37]Hanno Ackermann, Björn Scheuermann, Tat-Jun Chin, Bodo Rosenhahn:
Randomly Walking Can Get You Lost: Graph Segmentation with Unknown Edge Weights. EMMCVPR 2014: 450-463 - [c36]Tat-Jun Chin, Álvaro Parra Bustos, Michael S. Brown, David Suter:
Fast rotation search for real-time interactive point cloud registration. I3D 2014: 55-62 - 2013
- [j9]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
A simultaneous sample-and-filter strategy for robust multi-structure model fitting. Comput. Vis. Image Underst. 117(12): 1755-1769 (2013) - [j8]Thuraiappah Sathyan, Tat-Jun Chin, Sanjeev Arulampalam, David Suter:
A Multiple Hypothesis Tracker for Multitarget Tracking With Multiple Simultaneous Measurements. IEEE J. Sel. Top. Signal Process. 7(3): 448-460 (2013) - [j7]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
Mode seeking over permutations for rapid geometric model fitting. Pattern Recognit. 46(1): 257-271 (2013) - [c35]Julio Zaragoza, Tat-Jun Chin, Michael S. Brown, David Suter:
As-Projective-As-Possible Image Stitching with Moving DLT. CVPR 2013: 2339-2346 - [c34]Gustavo Carneiro, Zhibin Liao, Tat-Jun Chin:
Closed-Loop Deep Vision. DICTA 2013: 1-8 - [c33]William X. Liu, Tat-Jun Chin, Gustavo Carneiro, David Suter:
Point Correspondence Validation under Unknown Radial Distortion. DICTA 2013: 1-8 - [c32]Junhong Gao, Yu Li, Tat-Jun Chin, Michael S. Brown:
Seam-Driven Image Stitching. Eurographics (Short Papers) 2013: 45-48 - [c31]Thuraiappah Sathyan, Tat-Jun Chin, David Suter, Mark Hedley:
Improved wireless tracking using radio frequency and video sensors. FUSION 2013: 1442-1449 - [c30]Danilo Dell'Agnello, Gustavo Carneiro, Tat-Jun Chin, Giovanna Castellano, Anna Maria Fanelli:
Fuzzy clustering based encoding for Visual Object Classification. IFSA/NAFIPS 2013: 1439-1444 - 2012
- [j6]Tat-Jun Chin, Jin Yu, David Suter:
Accelerated Hypothesis Generation for Multistructure Data via Preference Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 34(4): 625-638 (2012) - [j5]Hanzi Wang, Tat-Jun Chin, David Suter:
Simultaneously Fitting and Segmenting Multiple-Structure Data with Outliers. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1177-1192 (2012) - [c29]Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter:
The Random Cluster Model for robust geometric fitting. CVPR 2012: 710-717 - [c28]Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter:
In Defence of RANSAC for Outlier Rejection in Deformable Registration. ECCV (4) 2012: 274-287 - [c27]Xue Zhou, Xi Li, Tat-Jun Chin, David Suter:
Adaptive human silhouette reconstruction based on the exploration of temporal information. ICASSP 2012: 1005-1008 - [c26]Xue Zhou, Xi Li, Tat-Jun Chin, David Suter:
Superpixel-driven level set tracking. ICIP 2012: 409-412 - [c25]Tao Qin, Bineng Zhong, Tat-Jun Chin, Hanzi Wang:
Matting-driven online learning of Hough forests for object tracking. ICPR 2012: 2488-2491 - 2011
- [j4]Tat-Jun Chin, David Suter, Hanzi Wang:
Boosting histograms of descriptor distances for scalable multiclass specific scene recognition. Image Vis. Comput. 29(4): 241-250 (2011) - [c24]Jin Yu, Tat-Jun Chin, David Suter:
A global optimization approach to robust multi-model fitting. CVPR 2011: 2041-2048 - [c23]Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter:
An adversarial optimization approach to efficient outlier removal. ICCV 2011: 399-406 - [c22]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
Dynamic and hierarchical multi-structure geometric model fitting. ICCV 2011: 1044-1051 - [c21]Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter:
Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC. NIPS 2011: 540-548 - [i1]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
Incremental Top-k List Comparison Approach to Robust Multi-Structure Model Fitting. CoRR abs/1105.6277 (2011) - 2010
- [c20]Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter:
Efficient Multi-structure Robust Fitting with Incremental Top-k Lists Comparison. ACCV (4) 2010: 553-564 - [c19]Tat-Jun Chin, David Suter, Hanzi Wang:
Multi-structure model selection via kernel optimisation. CVPR 2010: 3586-3593 - [c18]Tat-Jun Chin, Jin Yu, David Suter:
Accelerated Hypothesis Generation for Multi-structure Robust Fitting. ECCV (5) 2010: 533-546 - [c17]Hanzi Wang, Tat-Jun Chin, David Suter:
Visual localization and segmentation based on foreground/background modeling. ICASSP 2010: 1158-1161
2000 – 2009
- 2009
- [j3]Tat-Jun Chin, Yilun You, Céline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay:
Mobile phone-based mixed reality: the Snap2Play game. Vis. Comput. 25(1): 25-37 (2009) - [c16]Tat-Jun Chin, David Suter:
Keypoint induced distance profiles for visual recognition. CVPR 2009: 1239-1246 - [c15]Tat-Jun Chin, Hanzi Wang, David Suter:
Robust fitting of multiple structures: The statistical learning approach. ICCV 2009: 413-420 - [c14]Tat-Jun Chin, Hanzi Wang, David Suter:
The Ordered Residual Kernel for Robust Motion Subspace Clustering. NIPS 2009: 333-341 - 2008
- [j2]Tat-Jun Chin, David Suter:
Out-of-Sample Extrapolation of Learned Manifolds. IEEE Trans. Pattern Anal. Mach. Intell. 30(9): 1547-1556 (2008) - [c13]Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim:
Boosting descriptors condensed from video sequences for place recognition. CVPR Workshops 2008: 1-8 - [c12]Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim:
Using densely recorded scenes for place recognition. ICASSP 2008: 2101-2104 - [c11]Tat-Jun Chin, Hanlin Goh, Ngan Meng Tan:
Exact integral images at generic angles for 2D barcode detection. ICPR 2008: 1-4 - [c10]Yilun You, Tat-Jun Chin, Joo-Hwee Lim, Jean-Pierre Chevallet, Céline Coutrix, Laurence Nigay:
Deploying and evaluating a mixed reality mobile treasure hunt: Snap2Play. Mobile HCI 2008: 335-338 - [c9]Tat-Jun Chin, Yilun You, Céline Coutrix, Joo-Hwee Lim, Jean-Pierre Chevallet, Laurence Nigay:
Snap2Play: A Mixed-Reality Game Based on Scene Identification. MMM 2008: 220-229 - 2007
- [j1]Tat-Jun Chin, David Suter:
Incremental Kernel Principal Component Analysis. IEEE Trans. Image Process. 16(6): 1662-1674 (2007) - [c8]Tat-Jun Chin, Liang Wang, Konrad Schindler, David Suter:
Extrapolating Learned Manifolds for Human Activity Recognition. ICIP (1) 2007: 381-384 - 2006
- [c7]Tat-Jun Chin, David Suter:
A New Distance Criterion for Face Recognition Using Image Sets. ACCV (1) 2006: 549-558 - [c6]Tat-Jun Chin, David Suter:
Improving the Speed of Kernel PCA on Large Scale Datasets. AVSS 2006: 41 - [c5]Tat-Jun Chin, David Suter:
Incremental Kernel PCA for Efficient Non-linear Feature Extraction. BMVC 2006: 939-948 - [c4]Tat-Jun Chin, Konrad Schindler, David Suter:
Incremental Kernel SVD for Face Recognition with Image Sets. FGR 2006: 461-466 - [c3]Nathan Faggian, Andrew P. Paplinski, Tat-Jun Chin:
Face Recognition From Video using Active Appearance Model Segmentation. ICPR (1) 2006: 287-290 - 2005
- [c2]Tat-Jun Chin, James U, Konrad Schindler, David Suter:
Face Recognition from Video by Matching Image Sets. DICTA 2005: 28 - [c1]Therdsak Tangkuampien, Tat-Jun Chin:
Locally Linear Embedding for Markerless Human Motion Capture Using Multiple Cameras. DICTA 2005: 72
Coauthor Index
Anh-Dzung Doan
aka: Dzung A. Doan
aka: Dzung A. Doan
[c93] [c91] [i49] [j27] [c82] [i42] [i33] [c76] [i29] [i27] [c60] [c57] [i12] [b1] [j19] [j18] [c54] [c53] [c52] [i4] [j16] [c47] [c44] [j15] [j14] [j13] [j12] [j10] [c39] [c38] [c36] [j9] [j8] [j7] [c35] [c33] [c31] [j6] [j5] [c29] [c28] [c27] [c26] [j4] [c24] [c23] [c22] [c21] [i1] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [j2] [j1] [c8] [c7] [c6] [c5] [c4] [c2]
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