125 citations · 133 across the 5 of their papers we have counts for
7 papers
Information-Theoretic Analysis of Epistemic Uncertainty in Bayesian Meta-learning
Sharu Theresa Jose, Sangwoo Park, Osvaldo Simeone
The overall predictive uncertainty of a trained predictor can be decomposed into separate contributions due to epistemic and aleatoric uncertainty. Under a Bayesian formulation, as…
Meta-ViterbiNet: Online Meta-Learned Viterbi Equalization for Non-Stationary Channels
Tomer Raviv, Sangwoo Park, Nir Shlezinger +3
Deep neural networks (DNNs) based digital receivers can potentially operate in complex environments. However, the dynamic nature of communication channels implies that in some scen…
Balance-Oriented Focal Loss with Linear Scheduling for Anchor Free Object Detection
Hopyong Gil, Sangwoo Park, Yusang Park +3
Most existing object detectors suffer from class imbalance problems that hinder balanced performance. In particular, anchor free object detectors have to solve the background imbal…
Drivers Drowsiness Detection using Condition-Adaptive Representation Learning Framework
Jongmin Yu, Sangwoo Park, Sangwook Lee +1
We propose a condition-adaptive representation learning framework for the driver drowsiness detection based on 3D-deep convolutional neural network. The proposed framework consists…
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement
Alzahra Badi, Sangwook Park, David K. Han +1
Performance of learning based Automatic Speech Recognition (ASR) is susceptible to noise, especially when it is introduced in the testing data while not presented in the training d…
Sinusoidal wave generating network based on adversarial learning and its application: synthesizing frog sounds for data augmentation
Sangwook Park, David K. Han, Hanseok Ko
Simulators that generate observations based on theoretical models can be important tools for development, prediction, and assessment of signal processing algorithms. In order to de…