235 citations · 284 across the 3 of their papers we have counts for
3 papers
cs.CV2016★ 46 cited
Dual Attention Networks for Multimodal Reasoning and Matching
Hyeonseob Nam, Jung-Woo Ha, Jeonghee Kim
We propose Dual Attention Networks (DANs) which jointly leverage visual and textual attention mechanisms to capture fine-grained interplay between vision and language. DANs attend…
cs.CV2016★ 235 cited
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…
cs.LG2015★ 3 cited
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…