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2020 – today
- 2023
[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] - [i57]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) - [i56]Frances Fengyi Yang, Michele Sasdelli, Tat-Jun Chin:
Training Multilayer Perceptrons by Sampling with Quantum Annealers. CoRR abs/2303.12352 (2023) - [i55]Lachlan Holden, Feras Dayoub, David Harvey, Tat-Jun Chin:
Federated Neural Radiance Fields. CoRR abs/2305.01163 (2023) - [i54]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) - [i53]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) - [i52]Chee-Kheng Chng, Trent Jansen-Sturgeon, Timothy Payne, Tat-Jun Chin:
Direct initial orbit determination. CoRR abs/2308.14298 (2023) - [i51]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) - [i50]Andrew Du, Anh-Dzung Doan, Yee Wei Law, Tat-Jun Chin:
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection. CoRR abs/2309.02150 (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 Lecuyer, 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 - [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]