Chin, Tat-Jun

47 publications

CVPR 2024 Event-Based Structure-from-Orbit Ethan Elms, Yasir Latif, Tae Ha Park, Tat-Jun Chin
ECCV 2024 Robust Fitting on a Gate Quantum Computer Frances F Yang, Michele Sasdelli, Tat-Jun Chin
CVPRW 2024 Robust Perspective-N-Crater for Crater-Based Camera Pose Estimation Sofia McLeod, Chee Kheng Chng, Tatsuharu Ono, Yuta Shimizu, Ryodo Hemmi, Lachlan Holden, Matthew Rodda, Feras Dayoub, Hirdy Miyamoto, Yukihiro Takahashi, Yasuko Kasai, Tat-Jun Chin
NeurIPS 2024 Slack-Free Spiking Neural Network Formulation for Hypergraph Minimum Vertex Cover Tam Ngoc-Bang Nguyen, Anh-Dzung Doan, Zhipeng Cai, Tat-Jun Chin
CVPR 2022 A Hybrid Quantum-Classical Algorithm for Robust Fitting Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin
ECCVW 2022 Asynchronous Kalman Filter for Event-Based Star Tracking Yonhon Ng, Yasir Latif, Tat-Jun Chin, Robert E. Mahony
ECCVW 2022 Globally Optimal Event-Based Divergence Estimation for Ventral Landing Sofia McLeod, Gabriele Meoni, Dario Izzo, Anne Mergy, Daqi Liu, Yasir Latif, Ian D. Reid, Tat-Jun Chin
CVPR 2022 Maximum Consensus by Weighted Influences of Monotone Boolean Functions Erchuan Zhang, David Suter, Ruwan Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani
WACV 2022 Occlusion-Robust Object Pose Estimation with Holistic Representation Bo Chen, Tat-Jun Chin, Marius Klimavicius
WACV 2022 Physical Adversarial Attacks on an Aerial Imagery Object Detector Andrew Du, Bo Chen, Tat-Jun Chin, Yee Wei Law, Michele Sasdelli, Ramesh Rajasegaran, Dillon Campbell
CVPRW 2022 Update Compression for Deep Neural Networks on the Edge Bo Chen, Ali Bakhshi, Gustavo Batista, Brian Wai-Him Ng, Tat-Jun Chin
CVPRW 2021 A Spacecraft Dataset for Detection, Segmentation and Parts Recognition Dung Anh Hoang, Bo Chen, Tat-Jun Chin
CVPR 2021 Consensus Maximisation Using Influences of Monotone Boolean Functions Ruwan Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar
CVPR 2021 Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging Alvaro Parra, Shin-Fang Chng, Tat-Jun Chin, Anders Eriksson, Ian Reid
CVPR 2021 Spatiotemporal Registration for Event-Based Visual Odometry Daqi Liu, Alvaro Parra, Tat-Jun Chin
CVPRW 2021 Spot the GEO Satellites: From Dataset to Kelvins SpotGEO Challenge Bo Chen, Daqi Liu, Tat-Jun Chin, Mark Rutten, Dawa Derksen, Marcus Märtens, Moritz von Looz, Gurvan Lécuyer, Dario Izzo
WACV 2020 Event-Based Star Tracking via Multiresolution Progressive Hough Transforms Samya Bagchi, Tat-Jun Chin
ECCV 2020 NeuRoRA: Neural Robust Rotation Averaging Pulak Purkait, Tat-Jun Chin, Ian Reid
ICCVW 2019 Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement Bo Chen, Jiewei Cao, Álvaro Parra Bustos, Tat-Jun Chin
CVPRW 2019 Star Tracking Using an Event Camera Tat-Jun Chin, Samya Bagchi, Anders P. Eriksson, André van Schaik
ECCV 2018 Deterministic Consensus Maximization with Biconvex Programming Zhipeng Cai, Tat-Jun Chin, Huu Le, David Suter
ECCV 2018 Robust Fitting in Computer Vision: Easy or Hard? Tat-Jun Chin, Zhipeng Cai, Frank Neumann
CVPR 2017 An Exact Penalty Method for Locally Convergent Maximum Consensus Huu Le, Tat-Jun Chin, David Suter
ICCV 2017 Quasiconvex Plane Sweep for Triangulation with Outliers Qianggong Zhang, Tat-Jun Chin, David Suter
CVPR 2016 A Consensus-Based Framework for Distributed Bundle Adjustment Anders Eriksson, John Bastian, Tat-Jun Chin, Mats Isaksson
CVPR 2016 Conformal Surface Alignment with Optimal Mobius Search Huu Le, Tat-Jun Chin, David Suter
CVPR 2016 Efficient Point Process Inference for Large-Scale Object Detection Trung T. Pham, Seyed Hamid Rezatofighi, Ian Reid, Tat-Jun Chin
CVPR 2016 Guaranteed Outlier Removal with Mixed Integer Linear Programs Tat-Jun Chin, Yang Heng Kee, Anders Eriksson, Frank Neumann
CVPR 2015 Efficient Globally Optimal Consensus Maximisation with Tree Search Tat-Jun Chin, Pulak Purkait, Anders Eriksson, David Suter
ICCV 2015 Guaranteed Outlier Removal for Rotation Search Alvaro Parra Bustos, Tat-Jun Chin
WACV 2015 High Breakdown Bundle Adjustment Anders P. Eriksson, Mats Isaksson, Tat-Jun Chin
CVPR 2015 The K-Support Norm and Convex Envelopes of Cardinality and Rank Anders Eriksson, Trung Thanh Pham, Tat-Jun Chin, Ian Reid
ECCV 2014 Clustering with Hypergraphs: The Case for Large Hyperedges Pulak Purkait, Tat-Jun Chin, Hanno Ackermann, David Suter
CVPR 2014 Fast Rotation Search with Stereographic Projections for 3D Registration Alvaro Parra Bustos, Tat-Jun Chin, David Suter
CVPR 2013 As-Projective-as-Possible Image Stitching with Moving DLT Julio Zaragoza, Tat-Jun Chin, Michael S. Brown, David Suter
ECCV 2012 In Defence of RANSAC for Outlier Rejection in Deformable Registration Quoc-Huy Tran, Tat-Jun Chin, Gustavo Carneiro, Michael S. Brown, David Suter
CVPR 2012 The Random Cluster Model for Robust Geometric Fitting Trung-Thanh Pham, Tat-Jun Chin, Jin Yu, David Suter
CVPR 2011 A Global Optimization Approach to Robust Multi-Model Fitting Jin Yu, Tat-Jun Chin, David Suter
ICCV 2011 An Adversarial Optimization Approach to Efficient Outlier Removal Jin Yu, Anders P. Eriksson, Tat-Jun Chin, David Suter
ICCV 2011 Dynamic and Hierarchical Multi-Structure Geometric Model Fitting Hoi Sim Wong, Tat-Jun Chin, Jin Yu, David Suter
NeurIPS 2011 Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC Trung T. Pham, Tat-jun Chin, Jin Yu, David Suter
ECCV 2010 Accelerated Hypothesis Generation for Multi-Structure Robust Fitting Tat-Jun Chin, Jin Yu, David Suter
CVPR 2010 Multi-Structure Model Selection via Kernel Optimisation Tat-Jun Chin, David Suter, Hanzi Wang
CVPR 2009 Keypoint Induced Distance Profiles for Visual Recognition Tat-Jun Chin, David Suter
ICCV 2009 Robust Fitting of Multiple Structures: The Statistical Learning Approach Tat-Jun Chin, Hanzi Wang, David Suter
NeurIPS 2009 The Ordered Residual Kernel for Robust Motion Subspace Clustering Tat-jun Chin, Hanzi Wang, David Suter
CVPRW 2008 Boosting Descriptors Condensed from Video Sequences for Place Recognition Tat-Jun Chin, Hanlin Goh, Joo-Hwee Lim