9 citations · 10 across the 4 of their papers we have counts for
6 papers
BERT-hLSTMs: BERT and Hierarchical LSTMs for Visual Storytelling
Jing Su, Qingyun Dai, Frank Guerin +1
Visual storytelling is a creative and challenging task, aiming to automatically generate a story-like description for a sequence of images. The descriptions generated by previous v…
Generating Descriptions for Sequential Images with Local-Object Attention and Global Semantic Context Modelling
Jing Su, Chenghua Lin, Mian Zhou +2
In this paper, we propose an end-to-end CNN-LSTM model for generating descriptions for sequential images with a local-object attention mechanism. To generate coherent descriptions,…
Collaborative Distillation in the Parameter and Spectrum Domains for Video Action Recognition
Haisheng Su, Jing Su, Dongliang Wang +5
Recent years have witnessed the significant progress of action recognition task with deep networks. However, most of current video networks require large memory and computational r…
Performance-Oriented Neural Architecture Search
Andrew Anderson, Jing Su, Rozenn Dahyot +1
Hardware-Software Co-Design is a highly successful strategy for improving performance of domain-specific computing systems. We argue for the application of the same methodology to…
Potential Applications of Machine Learning at Multidisciplinary Medical Team Meetings
Bridget Kane, Jing Su, Saturnino Luz
While machine learning (ML) systems have produced great advances in several domains, their use in support of complex cooperative work remains a research challenge. A particularly c…
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools
Miguel de Prado, Jing Su, Rabia Saeed +9
Next generation of embedded Information and Communication Technology (ICT) systems are collaborative systems able to perform autonomous tasks. The remarkable expansion of the embed…