1 code implementation • ICLR 2020 • Kyungsun Lim, Nyeong-Ho Shin, Young-Yoon Lee, Chang-Su Kim
We propose order learning to determine the order graph of classes, representing ranks or priorities, and classify an object instance into one of the classes.
Ranked #8 on Age Estimation on MORPH album2 (Caucasian)
no code implementations • ECCV 2018 • Yeong Jun Koh, Young-Yoon Lee, Chang-Su Kim
A novel algorithm to segment out objects in a video sequence is proposed in this work.
no code implementations • 2 Jan 2020 • Kwangyoun Kim, Kyungmin Lee, Dhananjaya Gowda, Junmo Park, Sungsoo Kim, Sichen Jin, Young-Yoon Lee, Jinsu Yeo, Daehyun Kim, Seokyeong Jung, Jungin Lee, Myoungji Han, Chanwoo Kim
In this paper, we present a new on-device automatic speech recognition (ASR) system based on monotonic chunk-wise attention (MoChA) models trained with large (> 10K hours) corpus.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3
no code implementations • 6 Aug 2020 • Abhinav Mehrotra, Łukasz Dudziak, Jinsu Yeo, Young-Yoon Lee, Ravichander Vipperla, Mohamed S. Abdelfattah, Sourav Bhattacharya, Samin Ishtiaq, Alberto Gil C. P. Ramos, SangJeong Lee, Daehyun Kim, Nicholas D. Lane
Increasing demand for on-device Automatic Speech Recognition (ASR) systems has resulted in renewed interests in developing automatic model compression techniques.
Automatic Speech Recognition Automatic Speech Recognition (ASR) +3