Search Results for author: Xinghua Lou

Found 5 papers, 2 papers with code

Schema Networks: Zero-shot Transfer with a Generative Causal Model of Intuitive Physics

2 code implementations ICML 2017 Ken Kansky, Tom Silver, David A. Mély, Mohamed Eldawy, Miguel Lázaro-Gredilla, Xinghua Lou, Nimrod Dorfman, Szymon Sidor, Scott Phoenix, Dileep George

The recent adaptation of deep neural network-based methods to reinforcement learning and planning domains has yielded remarkable progress on individual tasks.

Generative Shape Models: Joint Text Recognition and Segmentation with Very Little Training Data

no code implementations NeurIPS 2016 Xinghua Lou, Ken Kansky, Wolfgang Lehrach, CC Laan, Bhaskara Marthi, D. Scott Phoenix, Dileep George

We demonstrate that a generative model for object shapes can achieve state of the art results on challenging scene text recognition tasks, and with orders of magnitude fewer training images than required for competing discriminative methods.

Instance Segmentation Scene Text Recognition +1

Structured Learning for Cell Tracking

no code implementations NeurIPS 2011 Xinghua Lou, Fred A. Hamprecht

We study the problem of learning to track a large quantity of homogeneous objects such as cell tracking in cell culture study and developmental biology.

Cultural Vocal Bursts Intensity Prediction

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