Publications

Selected work in computer vision, robotic vision, and large-scale AI for autonomous driving. For the latest list, see my Google Scholar profile.

2025

  • World Simulation with Video Foundation Models for Physical AI Cosmos-Predict2.5 NVIDIA — A. Ali, J. Bai, M. Bala, …, T. Pham, …, Y. Zhu arXiv preprint · 2025

2024

  • NVAutoNet: Fast and Accurate 360° 3D Visual Perception For Self Driving T. Pham, M. Maghoumi, W. Jiang, B. S. S. Jujjavarapu, M. Sajjadi, X. Liu, H.-C. Lin, B.-J. Chen, G. Truong, C. Fang, J. Kautz, M. Pavone WACV 2024

2023

  • DPPD: Deformable Polar Polygon Object Detection Y. Zheng, T. Pham, et al. CVPR Workshops 2023

2018

  • Bayesian Instance Segmentation in Open Set World T. Pham, V. B. G. Kumar, T.-T. Do, G. Carneiro, I. Reid ECCV 2018
  • Efficient Dense Point Cloud Object Reconstruction using Deformation Vector Fields K. Li, T. Pham, H. Zhan, I. Reid ECCV 2018
  • LieNet: Real-time Monocular Object Instance 6D Pose Estimation T.-T. Do, T. Pham, M. Cai, I. Reid BMVC 2018 (Oral)
  • Structure-Aware SLAM using Quadrics and Planes M. Hosseinzadeh, Y. Latif, T. Pham, N. Sünderhauf, I. Reid ACCV 2018
  • SceneCut: Joint Geometric and Object Segmentation for Indoor Scenes T. Pham, T.-T. Do, N. Sünderhauf, I. Reid ICRA 2018
  • Semantic Segmentation from Limited Training Data A. Milan, T. Pham, et al. ICRA 2018
  • Cartman: The Low-Cost Cartesian Manipulator that Won the Amazon Robotics Challenge D. Morrison et al., T. Pham et al. ICRA 2018
  • Drones Count Wildlife More Accurately and Precisely than Humans J. C. Hodgson et al., T. Pham et al. Methods in Ecology and Evolution 2018

2017

  • A Bayesian Data Augmentation Approach for Learning Deep Models T. Tran, T. Pham, G. Carneiro, L. Palmer, I. Reid NeurIPS 2017
  • Meaningful Maps — Object-Oriented Semantic Mapping N. Sünderhauf, T. Pham, Y. Latif, M. Milford, I. Reid IROS 2017
  • Simultaneous Feature Aggregating and Hashing for Large-Scale Image Search T.-T. Do, D.-K. L. Tan, T. Pham, N.-M. Cheung CVPR 2017
  • The ACRV Picking Benchmark: A Robotic Shelf-Picking Benchmark to Foster Reproducible Research J. Leitner et al., T. Pham et al. ICRA 2017

2016

  • Geometrically Consistent Plane Extraction for Dense Indoor 3D Maps Segmentation T. Pham, M. Eich, I. Reid, G. Wyeth IROS 2016
  • Efficient Point Process Inference for Large-Scale Object Detection T. Pham, H. Rezatofighi, T.-J. Chin, I. Reid CVPR 2016

2015

  • Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling T. Pham, I. Reid, S. Gould, Y. Latif ICCV 2015
  • The k-Support Norm and Convex Envelopes of Cardinality and Rank A. Eriksson, T. Pham, T.-J. Chin, I. Reid CVPR 2015

2014

  • Robust Parameter Estimation in Computer Vision: Optimisation Methods and Applications T. Pham PhD Thesis · The University of Adelaide
  • Interacting Geometric Priors for Robust Multi-Model Fitting T. Pham, T.-J. Chin, K. Schindler, D. Suter IEEE TIP 2014

2013

  • The Random Cluster Model for Robust Geometric Fitting T. Pham, T.-J. Chin, J. Yu, D. Suter IEEE TPAMI 2013

2012

  • The Random Cluster Model for Robust Geometric Fitting T. Pham, T.-J. Chin, J. Yu, D. Suter CVPR 2012 · Providence, RI

2011

  • Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC T. Pham, T.-J. Chin, J. Yu, D. Suter NeurIPS 2011 · Granada, Spain