HanYang University

∙ Seoul , Korea, Republic of ∙ 0 followers

04444 Hanyang University is one of the leading private research universities of South Korea, especially in the field of engineering.

Self-Supervised Fast Adaptation for Denoising via Meta-Learning

Under certain statistical assumptions of noise, recent self-supervised a...
01/09/2020 ∙ by Seunghwan Lee, et al. ∙ 26 ∙ share

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Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation

Recent advances in conditional image generation tasks, such as image-to-...
02/25/2019 ∙ by Soochan Lee, et al. ∙ 14 ∙ share

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Neural Motion Planning for Autonomous Parking

This paper presents a hybrid motion planning strategy that combines a de...
11/12/2021 ∙ by Dongchan Kim, et al. ∙ 12 ∙ share

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Training Spiking Neural Networks Using Lessons From Deep Learning

The brain is the perfect place to look for inspiration to develop more e...
09/27/2021 ∙ by Jason K. Eshraghian, et al. ∙ 10 ∙ share

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Diverse and Admissible Trajectory Forecasting through Multimodal Context Understanding

Multi-agent trajectory forecasting in autonomous driving requires an age...
03/06/2020 ∙ by Seong Hyeon Park, et al. ∙ 9 ∙ share

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ScarfNet: Multi-scale Features with Deeply Fused and Redistributed Semantics for Enhanced Object Detection

Convolutional neural network (CNN) has led to significant progress in ob...
08/01/2019 ∙ by Jin Hyeok Yoo, et al. ∙ 8 ∙ share

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OmniSLAM: Omnidirectional Localization and Dense Mapping for Wide-baseline Multi-camera Systems

In this paper, we present an omnidirectional localization and dense mapp...
03/18/2020 ∙ by Changhee Won, et al. ∙ 6 ∙ share

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SweepNet: Wide-baseline Omnidirectional Depth Estimation

Omnidirectional depth sensing has its advantage over the conventional st...
02/28/2019 ∙ by Changhee Won, et al. ∙ 4 ∙ share

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Robust Deep Multi-modal Learning Based on Gated Information Fusion Network

The goal of multi-modal learning is to use complimentary information on ...
07/17/2018 ∙ by Jaekyum Kim, et al. ∙ 2 ∙ share

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From Big to Small: Multi-Scale Local Planar Guidance for Monocular Depth Estimation

Estimating accurate depth from a single image is challenging, because it...
07/24/2019 ∙ by Jin Han Lee, et al. ∙ 2 ∙ share

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Tracking Persons-of-Interest via Unsupervised Representation Adaptation

Multi-face tracking in unconstrained videos is a challenging problem as ...
10/05/2017 ∙ by Shun Zhang, et al. ∙ 0 ∙ share

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Autonomous Braking System via Deep Reinforcement Learning

In this paper, we propose a new autonomous braking system based on deep ...
02/08/2017 ∙ by Hyunmin Chae, et al. ∙ 0 ∙ share

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Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks

Content popularity prediction has been extensively studied due to its im...
05/25/2017 ∙ by Wenjian Hu, et al. ∙ 0 ∙ share

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Efficient Feature Matching by Progressive Candidate Search

We present a novel feature matching algorithm that systematically utiliz...
01/20/2017 ∙ by Sehyung Lee, et al. ∙ 0 ∙ share

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Image Denoising Using Low Rank Minimization With Modified Noise Estimation

Recently, the application of low rank minimization to image denoising ha...
04/14/2015 ∙ by Zahid Hussain Shamsi, et al. ∙ 0 ∙ share

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Ensemble of Jointly Trained Deep Neural Network-Based Acoustic Models for Reverberant Speech Recognition

Distant speech recognition is a challenge, particularly due to the corru...
08/17/2016 ∙ by Jeehye Lee, et al. ∙ 0 ∙ share

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Fused Segmentation of Geometric Models for Myocardium and Coronary Artery via Medial Axis

Coronary arteries and their branches supply blood to myocardium. The obs...
08/29/2017 ∙ by Jehyun Chaa, et al. ∙ 0 ∙ share

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Support-Free Hollowing for 3D Printing via Voronoi Diagram of Ellipses

Recent work has demonstrated that the interior material layout of a 3D m...
08/22/2017 ∙ by Mokwon Lee, et al. ∙ 0 ∙ share

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Completely Distributed Power Allocation using Deep Neural Network for Device to Device communication Underlaying LTE

Device to device (D2D) communication underlaying LTE can be used to dist...
02/08/2018 ∙ by Jeehyeong Kim, et al. ∙ 0 ∙ share

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Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture

In this paper, we propose a deep learning-based vehicle trajectory predi...
02/18/2018 ∙ by SeongHyeon Park, et al. ∙ 0 ∙ share

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Deep Pose Consensus Networks

In this paper, we address the problem of estimating a 3D human pose from...
03/22/2018 ∙ by Geonho Cha, et al. ∙ 0 ∙ share

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Cooperative Strategies for UAV-Enabled Small Cell Networks Sharing Unlicensed Spectrum

In this paper, we study an aerial drone base station (DBS) assisted cell...
04/13/2018 ∙ by Yujae Song, et al. ∙ 0 ∙ share

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Efficient Beam Training and Channel Estimation for Millimeter Wave Communications Under Mobility

In this paper, we propose an efficient beam training technique for milli...
04/21/2018 ∙ by Sun Hong Lim, et al. ∙ 0 ∙ share

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Improving Knowledge Distillation with Supporting Adversarial Samples

Many recent works on knowledge distillation have provided ways to transf...
05/15/2018 ∙ by Byeongho Heo, et al. ∙ 0 ∙ share

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Knowledge Distillation with Adversarial Samples Supporting Decision Boundary

Many recent works on knowledge distillation have provided ways to transf...
05/15/2018 ∙ by Byeongho Heo, et al. ∙ 0 ∙ share

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Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons

An activation boundary for a neuron refers to a separating hyperplane th...
11/08/2018 ∙ by Byeongho Heo, et al. ∙ 0 ∙ share

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Semantic Relation Classification via Bidirectional LSTM Networks with Entity-aware Attention using Latent Entity Typing

Classifying semantic relations between entity pairs in sentences is an i...
01/23/2019 ∙ by Joohong Lee, et al. ∙ 0 ∙ share

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Efficient Obstacle Rearrangement for Object Manipulation Tasks in Cluttered Environments

We present an algorithm that produces a plan for relocating obstacles in...
02/19/2019 ∙ by Jinhwi Lee, et al. ∙ 0 ∙ share

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ROVO: Robust Omnidirectional Visual Odometryfor Wide-baseline Wide-FOV Camera Systems

In this paper we propose a robust visual odometry system for a wide-base...
02/28/2019 ∙ by Hochang Seok, et al. ∙ 0 ∙ share

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ROVO: Robust Omnidirectional Visual Odometry for Wide-baseline Wide-FOV Camera Systems

In this paper we propose a robust visual odometry system for a wide-base...
02/28/2019 ∙ by Hochang Seok, et al. ∙ 0 ∙ share

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Clustering-Based Collaborative Filtering Using an Incentivized/Penalized User Model

Giving or recommending appropriate content based on the quality of exper...
05/01/2019 ∙ by Cong Tran, et al. ∙ 0 ∙ share

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Compressed Learning of Deep Neural Networks for OpenCL-Capable Embedded Systems

Deep neural networks (DNNs) have been quite successful in solving many c...
05/20/2019 ∙ by Sangkyun Lee, et al. ∙ 0 ∙ share

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Improving security and bandwidth efficiency of NewHope using error-correction schemes

Among many submissions to the NIST post-quantum cryptography (PQC) proje...
05/20/2019 ∙ by Minki Song, et al. ∙ 0 ∙ share

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Neuro-Optimization: Learning Objective Functions Using Neural Networks

Mathematical optimization is widely used in various research fields. Wit...
05/24/2019 ∙ by Younghan Jeon, et al. ∙ 0 ∙ share

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Delay-Optimal and Energy-Efficient Communications with Markovian Arrivals

In this paper, delay-optimal and energy-efficient communication is studi...
08/30/2019 ∙ by Xiaoyu Zhao, et al. ∙ 0 ∙ share

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Downlink Pilot Precoding and Compressed Channel Feedback for FDD-Based Cell-Free Systems

Cell-free system where a group of base stations (BSs) cooperatively serv...
09/16/2019 ∙ by Seungnyun Kim, et al. ∙ 0 ∙ share

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Online Estimation and Adaptation for Random Access with Successive Interference Cancellation

This paper proposes an adaptive transmission algorithm for slotted rando...
01/09/2020 ∙ by Sang-Woon Jeon, et al. ∙ 0 ∙ share

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Regularizing activations in neural networks via distribution matching with the Wasserstein metric

Regularization and normalization have become indispensable components in...
02/13/2020 ∙ by Taejong Joo, et al. ∙ 0 ∙ share

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Acceleration of Actor-Critic Deep Reinforcement Learning for Visual Grasping in Clutter by State Representation Learning Based on Disentanglement of a Raw Input Image

For a robotic grasping task in which diverse unseen target objects exist...
02/27/2020 ∙ by Taewon Kim, et al. ∙ 0 ∙ share

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Restore from Restored: Single Image Denoising with Pseudo Clean Image

Under certain statistical assumptions of noise (e.g., zero-mean noise), ...
03/09/2020 ∙ by Seunghwan Lee, et al. ∙ 0 ∙ share

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Restore from Restored: Video Restoration with Pseudo Clean Video

In this paper, we propose a self-supervised video denoising method calle...
03/09/2020 ∙ by Seunghwan Lee, et al. ∙ 0 ∙ share

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Scene-Adaptive Video Frame Interpolation via Meta-Learning

Video frame interpolation is a challenging problem because there are dif...
04/02/2020 ∙ by Myungsub Choi, et al. ∙ 0 ∙ share

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Multi-Head Attention-based Probabilistic Vehicle Trajectory Prediction

This paper presents online-capable deep learning model for probabilistic...
04/08/2020 ∙ by Hayoung Kim, et al. ∙ 0 ∙ share

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3D-CVF: Generating Joint Camera and LiDAR Features Using Cross-View Spatial Feature Fusion for 3D Object Detection

In this paper, we propose a new deep architecture for fusing camera and ...
04/27/2020 ∙ by Jin Hyeok Yoo, et al. ∙ 0 ∙ share

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A Confidence-Calibrated MOBA Game Winner Predictor

In this paper, we propose a confidence-calibration method for predicting...
06/28/2020 ∙ by Dong-Hee Kim, et al. ∙ 0 ∙ share

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Procrustean Regression Networks: Learning 3D Structure of Non-Rigid Objects from 2D Annotations

We propose a novel framework for training neural networks which is capab...
07/21/2020 ∙ by Sungheon Park, et al. ∙ 0 ∙ share

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Joint Representation of Temporal Image Sequences and Object Motion for Video Object Detection

In this paper, we propose a new video object detector (VoD) method refer...
11/20/2020 ∙ by Junho Koh, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning-based UAV Navigation and Control: A Soft Actor-Critic with Hindsight Experience Replay Approach

In this paper, we propose SACHER (soft actor-critic (SAC) with hindsight...
06/02/2021 ∙ by Myoung Hoon Lee, et al. ∙ 0 ∙ share

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Scheduling Optimization Techniques for Neural Network Training

Neural network training requires a large amount of computation and thus ...
10/03/2021 ∙ by Hyungjun Oh, et al. ∙ 0 ∙ share

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CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method

Backward propagation of errors (backpropagation) is a method to minimize...
10/06/2021 ∙ by Guhyun Kim, et al. ∙ 0 ∙ share

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