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Pingbo Pan

3 accepted papers

2020

Continual Deep Learning by Functional Regularisation of Memorable Past

NeurIPS 2020oral

Continually learning new skills is important for intelligent systems, yet standard deep learning methods suffer from catastrophic forgetting of the past. Recent works address this with weight regularisation. Functional regularisation, although computationally expensive, is expected to perform better…

2019

DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis

CVPR 2019poster

In this paper, we focus on generating realistic images from text descriptions. Current methods first generate an initial image with rough shape and color, and then refine the initial image to a high-resolution one. Most existing text-to-image synthesis methods have two main problems. (1) These metho…

Cited by 797PDFScholar
2016

Hierarchical Recurrent Neural Encoder for Video Representation With Application to Captioning

CVPR 2016poster

Recently, deep learning approach, especially deep Convolutional Neural Networks (ConvNets), have achieved overwhelming accuracy with fast processing speed for image classification. Incorporating temporal structure with deep ConvNets for video representation becomes a fundamental problem for video co…

Cited by 506PDFScholar