Search Results for author: Minjeong Kim

Found 8 papers, 2 papers with code

Enhancing Breast Cancer Risk Prediction by Incorporating Prior Images

no code implementations28 Mar 2023 Hyeonsoo Lee, Junha Kim, Eunkyung Park, Minjeong Kim, Taesoo Kim, Thijs Kooi

Recently, deep learning models have shown the potential to predict breast cancer risk and enable targeted screening strategies, but current models do not consider the change in the breast over time.

Improving Perceptual Quality, Intelligibility, and Acoustics on VoIP Platforms

no code implementations16 Mar 2023 Joseph Konan, Ojas Bhargave, Shikhar Agnihotri, Hojeong Lee, Ankit Shah, Shuo Han, Yunyang Zeng, Amanda Shu, Haohui Liu, Xuankai Chang, Hamza Khalid, Minseon Gwak, Kawon Lee, Minjeong Kim, Bhiksha Raj

In this paper, we present a method for fine-tuning models trained on the Deep Noise Suppression (DNS) 2020 Challenge to improve their performance on Voice over Internet Protocol (VoIP) applications.

Multi-Task Learning Speech Enhancement +2

Speech Enhancement for Virtual Meetings on Cellular Networks

1 code implementation2 Feb 2023 Hojeong Lee, Minseon Gwak, Kawon Lee, Minjeong Kim, Joseph Konan, Ojas Bhargave

We study speech enhancement using deep learning (DL) for virtual meetings on cellular devices, where transmitted speech has background noise and transmission loss that affects speech quality.

Speech Enhancement

Embedded System Performance Analysis for Implementing a Portable Drowsiness Detection System for Drivers

no code implementations30 Sep 2022 Minjeong Kim, Jimin Koo

Based on our experiments, the average total processing time to run the drowsiness detection model was 94. 27 ms for Jetson Nano and 22. 73 ms for the Beelink (Mini PC).

Specificity

Question-Aware Sentence Gating Networks for Question and Answering

no code implementations20 Jul 2018 Minjeong Kim, David Keetae Park, Hyungjong Noh, Yeonsoo Lee, Jaegul Choo

Machine comprehension question answering, which finds an answer to the question given a passage, involves high-level reasoning processes of understanding and tracking the relevant contents across various semantic units such as words, phrases, and sentences in a document.

Question Answering Reading Comprehension +1

PixelSNE: Visualizing Fast with Just Enough Precision via Pixel-Aligned Stochastic Neighbor Embedding

1 code implementation8 Nov 2016 Minjeong Kim, Minsuk Choi, Sunwoong Lee, Jian Tang, Haesun Park, Jaegul Choo

Embedding and visualizing large-scale high-dimensional data in a two-dimensional space is an important problem since such visualization can reveal deep insights out of complex data.

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