13 citations · 27 across the 5 of their papers we have counts for
17 papers
RankingMatch: Delving into Semi-Supervised Learning with Consistency Regularization and Ranking Loss
Trung Q. Tran, Mingu Kang, Daeyoung Kim
Semi-supervised learning (SSL) has played an important role in leveraging unlabeled data when labeled data is limited. One of the most successful SSL approaches is based on consist…
STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech
Keon Lee, Kyumin Park, Daeyoung Kim
Previous works on neural text-to-speech (TTS) have been addressed on limited speed in training and inference time, robustness for difficult synthesis conditions, expressiveness, an…
QuickBrowser: A Unified Model to Detect and Read Simple Object in Real-time
Thao Do, Daeyoung Kim
There are many real-life use cases such as barcode scanning or billboard reading where people need to detect objects and read the object contents. Commonly existing methods are fir…
ReRankMatch: Semi-Supervised Learning with Semantics-Oriented Similarity Representation
Trung Quang Tran, Mingu Kang, Daeyoung Kim
This paper proposes integrating semantics-oriented similarity representation into RankingMatch, a recently proposed semi-supervised learning method. Our method, dubbed ReRankMatch,…
Adversarial Optimal Transport Through The Convolution Of Kernels With Evolving Measures
Daeyoung Kim, Esteban G. Tabak
A novel algorithm is proposed to solve the sample-based optimal transport problem. An adversarial formulation of the push-forward condition uses a test function built as a convolut…
Simple Multi-Resolution Representation Learning for Human Pose Estimation
Trung Q. Tran, Giang V. Nguyen, Daeyoung Kim
Human pose estimation - the process of recognizing human keypoints in a given image - is one of the most important tasks in computer vision and has a wide range of applications inc…