Search Results for author: Trung T. Pham

Found 5 papers, 0 papers with code

Meaningful Maps With Object-Oriented Semantic Mapping

no code implementations26 Sep 2016 Niko Sünderhauf, Trung T. Pham, Yasir Latif, Michael Milford, Ian Reid

For intelligent robots to interact in meaningful ways with their environment, they must understand both the geometric and semantic properties of the scene surrounding them.

Robotics

Efficient Point Process Inference for Large-Scale Object Detection

no code implementations CVPR 2016 Trung T. Pham, Seyed Hamid Rezatofighi, Ian Reid, Tat-Jun Chin

We tackle the problem of large-scale object detection in images, where the number of objects can be arbitrarily large, and can exhibit significant overlap/occlusion.

Human Detection Object +2

Hierarchical Higher-Order Regression Forest Fields: An Application to 3D Indoor Scene Labelling

no code implementations ICCV 2015 Trung T. Pham, Ian Reid, Yasir Latif, Stephen Gould

Specifically, we relax the labelling problem to a regression, and generalize the higher-order associative P n Potts model to a new family of arbitrary higher-order models based on regression forests.

regression Semantic Segmentation

Simultaneous Sampling and Multi-Structure Fitting with Adaptive Reversible Jump MCMC

no code implementations NeurIPS 2011 Trung T. Pham, Tat-Jun Chin, Jin Yu, David Suter

Multi-structure model fitting has traditionally taken a two-stage approach: First, sample a (large) number of model hypotheses, then select the subset of hypotheses that optimise a joint fitting and model selection criterion.

Computational Efficiency Model Selection

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