44 citations · 44 across the 1 of their papers we have counts for
4 papers
Less-forgetting Learning in Deep Neural Networks
Heechul Jung, Jeongwoo Ju, Minju Jung +1
A catastrophic forgetting problem makes deep neural networks forget the previously learned information, when learning data collected in new environments, such as by different senso…
HARRISON: A Benchmark on HAshtag Recommendation for Real-world Images in Social Networks
Minseok Park, Hanxiang Li, Junmo Kim
Simple, short, and compact hashtags cover a wide range of information on social networks. Although many works in the field of natural language processing (NLP) have demonstrated th…
Deep Saliency with Encoded Low level Distance Map and High Level Features
Gayoung Lee, Yu-Wing Tai, Junmo Kim
Recent advances in saliency detection have utilized deep learning to obtain high level features to detect salient regions in a scene. These advances have demonstrated superior resu…
Deep Temporal Appearance-Geometry Network for Facial Expression Recognition
Heechul Jung, Sihaeng Lee, Sunjeong Park +3
Temporal information can provide useful features for recognizing facial expressions. However, to manually design useful features requires a lot of effort. In this paper, to reduce…