no code implementations • Findings (NAACL) 2022 • Haeju Lee, Oh Joon Kwon, Yunseon Choi, Minho Park, Ran Han, Yoonhyung Kim, Jinhyeon Kim, Youngjune Lee, Haebin Shin, Kangwook Lee, Kee-Eung Kim
The Situated Interactive Multi-Modal Conversations (SIMMC) 2. 0 aims to create virtual shopping assistants that can accept complex multi-modal inputs, i. e. visual appearances of objects and user utterances.
Ranked #2 on Response Generation on SIMMC2.0
no code implementations • 8 Sep 2021 • Sumin Lee, Hyunjun Eun, Jinyoung Moon, Seokeon Choi, Yoonhyung Kim, Chanho Jung, Changick Kim
To overcome this problem, we propose a novel recurrent unit, named Information Discrimination Unit (IDU), which explicitly discriminates the information relevancy between an ongoing action and others to decide whether to accumulate the input information.
no code implementations • 1 Apr 2021 • Yoonhyung Kim, Changick Kim
In SSDA, a small number of labeled target images are given for training, and the effectiveness of those data is demonstrated by the previous studies.
1 code implementation • 12 Oct 2019 • Seunghan Yang, Yoonhyung Kim, Youngeun Kim, Changick Kim
Most previous methods utilize the activation map corresponding to the highest activation source.