Dr Trung Pham

Postdoctoral Research Fellow

School of Computer Science

Faculty of Engineering, Computer and Mathematical Sciences

Connect With Me

Dr Trung Pham

Journals

Year	Citation
2014	Pham, T., Chin, T., Yu, J., & Suter, D. (2014). The random cluster model for robust geometric fitting. IEEE Transactions on Pattern Analysis and Machine Intelligence, 36(8), 1658-1671. DOI Scopus29 WoS26 Europe PMC1
2014	Pham, T., Chin, T., Schindler, K., & Suter, D. (2014). Interacting geometric priors for robust multimodel fitting. IEEE Transactions on Image Processing, 23(10), 4601-4610. DOI Scopus8 WoS9

Conference Papers

Year	Citation
2018	Tran, T., Pham, T., Carneiro, G., Palmer, L., & Reid, I. (2018). A Bayesian Data Augmentation Approach for Learning Deep Models. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 1-10). Long Beach, CA, USA.
2017	Do, T., Le Tan, D., Pham, T., & Cheung, N. (2017). Simultaneous feature aggregating and hashing for large-scale image search. In Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017 Vol. 2017-January (pp. 4217-4226). Honolulu, HI: IEEE. DOI Scopus1
2016	Pham, T., Rezatofighi, S., Reid, I., & Chin, T. (2016). Efficient point process inference for large-scale object detection. In Proceedings of the 29th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) Vol. 2016-January (pp. 2837-2845). Las Vegas, NV: IEEE. DOI Scopus4 WoS1
2016	Pham, T., Eich, M., Reid, I., & Wyeth, G. (2016). Geometrically consistent plane extraction for dense indoor 3D maps segmentation. In Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016) Vol. 2016-November (pp. 4199-4204). Daejeon, SOUTH KOREA: IEEE. DOI Scopus8 WoS4
2015	Eriksson, A., Pham, T., Chin, T., & Reid, I. (2015). The k-support norm and convex envelopes of cardinality and rank. In Proceedings of the 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Vol. 07-12-June-2015 (pp. 3349-3357). Boston, MA: IEEE. DOI Scopus5 WoS4
2015	Pham, T., Reid, I., Latif, Y., & Gould, S. (2015). Hierarchical higher-order regression forest fields: an application to 3D indoor scene labelling. In Proceedings of the 2015 IEEE International Conference on Computer Vision Vol. 2015 International Conference on Computer Vision, ICCV 2015 (pp. 2246-2254). Santiago, CHILE: IEEE. DOI Scopus5 WoS2
2012	Pham, T., Chin, T., Yu, J., & Suter, D. (2012). The random cluster model for robust geometric fitting. In Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012 (pp. 710-717). USA: IEEE. DOI Scopus22 WoS10
2011	Pham, T., Chin, T., Yu, J., & Suter, D. (2011). Simultaneous sampling and multi-structure fitting with adaptive reversible jump MCMC. In Proceedings of the 25th Annual Conference on Neural Information Processing Systems (pp. 1-9). Spain: NIPS Foundation. Scopus5

Conference Items

Year	Citation
2012	Suter, D., Chin, T. J., Wong, H. S., & Pham, T. T. (2012). Perception as hypothesis testing - how to discover and generate hypotheses. Poster session presented at the meeting of Abstracts of the 2012 Joint Applied Vision Association and British Machine Vision Association Annual Meeting, as published in Perception. Cambridge, United Kingdom: Pion. DOI

Position

Postdoctoral Research Fellow

Phone

83130988

Email

trung.pham@adelaide.edu.au

Fax

8313 4366

Campus

North Terrace

Building

Engineering & Math Science, floor 4

Room Number

4 07

Org Unit

School of Computer Science