Korea University

research

∙ 03/26/2022

Metropolis-Hastings Data Augmentation for Graph Neural Networks

Graph Neural Networks (GNNs) often suffer from weak-generalization due t...

Hyeonjin Park, et al. ∙

research

∙ 11/15/2021

AnimeCeleb: Large-Scale Animation CelebFaces Dataset via Controllable 3D Synthetic Models

Despite remarkable success in deep learning-based face-related models, t...

Kangyeol Kim, et al. ∙

research

∙ 07/19/2021

Improving Interpretability of Deep Neural Networks in Medical Diagnosis by Investigating the Individual Units

As interpretability has been pointed out as the obstacle to the adoption...

Woo-Jeoung Nam, et al. ∙

research

∙ 10/07/2019

Learning De-biased Representations with Biased Representations

Many machine learning algorithms are trained and evaluated by splitting ...

Hyojin Bahng, et al. ∙

research

∙ 07/29/2020

COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network

Coronavirus disease 2019 (COVID-19) is an ongoing global pandemic that h...

Yifan Jiang, et al. ∙

research

∙ 11/20/2019

W-Net: Two-stage U-Net with misaligned data for raw-to-RGB mapping

Recent research on a learning mapping between raw Bayer images and RGB i...

Kwang Hyun Uhm, et al. ∙

research

∙ 08/29/2019

Real-time interactive magnetic resonance (MR) temperature imaging in both aqueous and adipose tissues using cascaded deep neural networks for MR-guided focused ultrasound surge

Purpose: To acquire the real-time interactive temperature map for aqueou...

Jong-Min Kim, et al. ∙

research

∙ 03/25/2020

Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation

Existing techniques to encode spatial invariance within deep convolution...

Sunghun Joung, et al. ∙

research

∙ 07/23/2021

Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation

Identifying unexpected objects on roads in semantic segmentation (e.g., ...

Sanghun Jung, et al. ∙

research

∙ 08/20/2021

Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data

Machine learning requires a large volume of sample data, especially when...

Yoo Jeong Ha, et al. ∙

research

∙ 11/09/2018

Typeface Completion with Generative Adversarial Networks

The mood of a text and the intention of the writer can be reflected in t...

Yonggyu Park, et al. ∙

research

∙ 03/06/2020

Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding

Multi-agent trajectory forecasting in autonomous driving requires an age...

Seong Hyeon Park, et al. ∙

research

∙ 07/19/2021

Precise Aerial Image Matching based on Deep Homography Estimation

Aerial image registration or matching is a geometric process of aligning...

Myeong-Seok Oh, et al. ∙

research

∙ 04/01/2019

Relative Attributing Propagation: Interpreting the Comparative Contributions of Individual Units in Deep Neural Networks

As Deep Neural Networks (DNNs) have demonstrated superhuman performance ...

Woo-Jeoung Nam, et al. ∙

research

∙ 04/28/2021

AMSS-Net: Audio Manipulation on User-Specified Sources with Textual Queries

This paper proposes a neural network that performs audio transformations...

Woosung Choi, et al. ∙

research

∙ 01/06/2022

Memory-guided Image De-raining Using Time-Lapse Data

This paper addresses the problem of single image de-raining, that is, th...

Jaehoon Cho, et al. ∙

research

∙ 01/10/2022

Empirical study on BlenderBot 2.0 Errors Analysis in terms of Model, Data and User-Centric Approach

BlenderBot 2.0 is a dialogue model that represents open-domain chatbots ...

Jungseob Lee, et al. ∙

research

∙ 12/15/2020

Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation

Existing techniques to adapt semantic segmentation networks across the s...

Minsu Kim, et al. ∙

research

∙ 04/11/2020

Exploring The Spatial Reasoning Ability of Neural Models in Human IQ Tests

Although neural models have performed impressively well on various tasks...

Hyunjae Kim, et al. ∙

research

∙ 07/28/2021

Content-aware Directed Propagation Network with Pixel Adaptive Kernel Attention

Convolutional neural networks (CNNs) have been not only widespread but a...

Min-Cheol Sagong, et al. ∙

research

∙ 08/10/2021

Learning Canonical 3D Object Representation for Fine-Grained Recognition

We propose a novel framework for fine-grained object recognition that le...

Sunghun Joung, et al. ∙

research

∙ 12/26/2021

Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles

Self-driving cars and autonomous driving research has been receiving con...

Won Joon Yun, et al. ∙

research

∙ 06/29/2022

Deformable Graph Transformer

Transformer-based models have been widely used and achieved state-of-the...

Jinyoung Park, et al. ∙

research

∙ 07/20/2022

Slimmable Quantum Federated Learning

Quantum federated learning (QFL) has recently received increasing attent...

Won Joon Yun, et al. ∙

research

∙ 05/14/2020

Reinforced Coloring for End-to-End Instance Segmentation

Instance segmentation is one of the actively studied research topics in ...

Tuan Tran Anh, et al. ∙

research

∙ 11/13/2018

Interpreting Models by Allowing to Ask

Questions convey information about the questioner, namely what one does ...

Sungmin Kang, et al. ∙

research

∙ 11/24/2019

3FabRec: Fast Few-shot Face alignment by Reconstruction

Current supervised frameworks for facial landmark detection require a la...

Bjoern Browatzki, et al. ∙

research

∙ 11/29/2019

Unpaired Image Translation via Adaptive Convolution-based Normalization

Disentangling content and style information of an image has played an im...

Wonwoong Cho, et al. ∙

research

∙ 08/11/2021

Rethinking Coarse-to-Fine Approach in Single Image Deblurring

Coarse-to-fine strategies have been extensively used for the architectur...

Sung Jin Cho, et al. ∙

research

∙ 08/16/2021

GC-TTS: Few-shot Speaker Adaptation with Geometric Constraints

Few-shot speaker adaptation is a specific Text-to-Speech (TTS) system th...

Ji-Hoon Kim, et al. ∙

research

∙ 12/14/2021

TRACER: Extreme Attention Guided Salient Object Tracing Network

Existing studies on salient object detection (SOD) focus on extracting d...

Min Seok Lee, et al. ∙

research

∙ 06/09/2019

What and Where to Translate: Local Mask-based Image-to-Image Translation

Recently, image-to-image translation has obtained significant attention....

Wonwoong Cho, et al. ∙

research

∙ 02/04/2020

A Two-Stream Symmetric Network with Bidirectional Ensemble for Aerial Image Matching

In this paper, we propose a novel method to precisely match two aerial i...

Jae-Hyun Park, et al. ∙

research

∙ 07/26/2019

Secure Distribution of Protected Content in Information-Centric Networking

The benefits of the ubiquitous caching in ICN are profound, such feature...

Muhammad Bilal, et al. ∙

research

∙ 12/02/2019

Investigating Deep Neural Transformations for Spectrogram-based Musical Source Separation

Musical Source Separation (MSS) is a signal processing task that tries t...

Woosung Choi, et al. ∙

research

∙ 02/19/2020

Three-Stream Fusion Network for First-Person Interaction Recognition

First-person interaction recognition is a challenging task because of un...

Ye-Ji Kim, et al. ∙

research

∙ 08/12/2021

Memory-based Semantic Segmentation for Off-road Unstructured Natural Environments

With the availability of many datasets tailored for autonomous driving i...

Youngsaeng Jin, et al. ∙

research

∙ 12/12/2017

A Mathematical Programming Approach for Integrated Multiple Linear Regression Subset Selection and Validation

Subset selection for multiple linear regression aims to construct a regr...

Seokhyun Chung, et al. ∙

research

∙ 10/23/2017

Neural Stain-Style Transfer Learning using GAN for Histopathological Images

Performance of data-driven network for tumor classification varies with ...

Hyungjoo Cho, et al. ∙

research

∙ 03/07/2017

End-to-End Prediction of Buffer Overruns from Raw Source Code via Neural Memory Networks

Detecting buffer overruns from a source code is one of the most common a...

Min-je Choi, et al. ∙

research

∙ 09/03/2017

Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling

In this paper, we propose an uncertainty-aware learning from demonstrati...

Sungjoon Choi, et al. ∙

research

∙ 08/02/2017

Controllable Generative Adversarial Network

Although it is recently introduced, in last few years, generative advers...

Minhyeok Lee, et al. ∙

research

∙ 02/21/2017

Synthesizing Imperative Programs from Examples Guided by Static Analysis

We present a novel algorithm that synthesizes imperative programs for in...

Sunbeom So, et al. ∙

research

∙ 06/20/2011

Dimensionally Constrained Symbolic Regression

We describe dimensionally constrained symbolic regression which has been...

Suyong Choi, et al. ∙

research

∙ 07/29/2015

Collaborative Representation Classification Ensemble for Face Recognition

Collaborative Representation Classification (CRC) for face recognition a...

Xiaochao Qu, et al. ∙

research

∙ 06/07/2013

Statistical Denoising for single molecule fluorescence microscopic images

Single molecule fluorescence microscopy is a powerful technique for unco...

Ji Won Yoon, et al. ∙

research

∙ 04/29/2017

Crime Scene Re-investigation: A Postmortem Analysis of Game Account Stealers' Behaviors

As item trading becomes more popular, users can change their game items ...

Hana Kim, et al. ∙

research

∙ 01/09/2018

UAV-Aided Wireless Communication Designs With Propulsion Energy Limitations

This paper studies unmanned aerial vehicle (UAV) aided wireless communic...

Subin Eom, et al. ∙

research

∙ 01/09/2018

Minimum Throughput Maximization in UAV-Aided Wireless Powered Communication Networks

This paper investigates unmanned aerial vehicle (UAV)-aided wireless pow...

Junhee Park, et al. ∙

research

∙ 01/31/2018

Robust Designs of Beamforming and Power Splitting for Distributed Antenna Systems with Wireless Energy Harvesting

In this paper, we investigate a multiuser distributed antenna system wit...

Zhengyu Zhu, et al. ∙

Korea University

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