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IEEE Transactions on Pattern Analysis and Machine Intelligence|November 29, 2016
Efficient Globally Optimal Consensus Maximisation with Tree SearchTat-Jun Chin, Pulak Purkait, Anders Eriksson, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 24, 2017
Clustering with Hypergraphs: The Case for Large HyperedgesPulak Purkait, Tat-Jun Chin, Alireza Sadri, et al.
IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society|August 15, 2014
Interacting geometric priors for robust multimodel fittingTrung Thanh Pham, Tat-Jun Chin, Konrad Schindler, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 10, 2015
The Random Cluster Model for Robust Geometric FittingTrung T Pham, Tat-Jun Chin, Jin Yu, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|May 27, 2022
Unsupervised Learning for Maximum Consensus Robust Fitting: A Reinforcement Learning ApproachGiang Truong, Huu Le, Erchuan Zhang, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|April 20, 2023
An Information-Theoretic Method to Automatic Shortcut Avoidance and Domain Generalization for Dense Prediction TasksWeiQin Chuah, Ruwan Tennakoon, Reza Hoseinnezhad, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 14, 2016
Robust Model Fitting Using Higher Than Minimal Subset SamplingRuwan B Tennakoon, Alireza Bab-Hadiashar, Zhenwei Cao, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|January 15, 2016
Fast Rotation Search with Stereographic Projections for 3D RegistrationAlvaro Parra Bustos, Tat-Jun Chin, Anders Eriksson, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|June 18, 2026
Robust Model Fitting via Motion-Aware Pyramid Transformer-Guided Preference Filtering and Consensus SmoothingWenyu Yin, Hanzi Wang, Shuyuan Lin, et al.
IEEE Transactions on Pattern Analysis and Machine Intelligence|September 9, 2019
Deterministic Approximate Methods for Maximum Consensus Robust FittingHuu Le, Tat-Jun Chin, Anders Eriksson, et al.
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