1 code implementation • ICCV 2021 • Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua
From this study, we propose to use sliced Wasserstein distance and its variants for learning representations of 3D point clouds.
no code implementations • NeurIPS 2020 • Supreeth Narasimhaswamy, Trung Nguyen, Minh Hoai
The first attention mechanism is based on the hand and a region's affinity, enclosing the hand and the object, and densely pools features from this region to the hand region.
no code implementations • 3 Dec 2018 • Trung Nguyen, Barth Lakshmanan, Weihua Sheng
The classifier is trained by using a new adaptive learning method.
no code implementations • NeurIPS 2012 • Trung Nguyen, Tomi Silander, Tze Y. Leong
We study how to automatically select and adapt multiple abstractions or representations of the world to support model-based reinforcement learning.
Model-based Reinforcement Learning reinforcement-learning +2