235 citations · 325 across the 4 of their papers we have counts for
4 papers
GLAC Net: GLocal Attention Cascading Networks for Multi-image Cued Story Generation
Taehyeong Kim, Min-Oh Heo, Seonil Son +2
The task of multi-image cued story generation, such as visual storytelling dataset (VIST) challenge, is to compose multiple coherent sentences from a given sequence of images. The…
DeepStory: Video Story QA by Deep Embedded Memory Networks
Kyung-Min Kim, Min-Oh Heo, Seong-Ho Choi +1
Question-answering (QA) on video contents is a significant challenge for achieving human-level intelligence as it involves both vision and language in real-world settings. Here we…
Multimodal Residual Learning for Visual QA
Jin-Hwa Kim, Sang-Woo Lee, Dong-Hyun Kwak +4
Deep neural networks continue to advance the state-of-the-art of image recognition tasks with various methods. However, applications of these methods to multimodality remain limite…
Dual Memory Architectures for Fast Deep Learning of Stream Data via an Online-Incremental-Transfer Strategy
Sang-Woo Lee, Min-Oh Heo, Jiwon Kim +2
The online learning of deep neural networks is an interesting problem of machine learning because, for example, major IT companies want to manage the information of the massive dat…