Sungho Shin | DeepAI

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∙ 03/08/2023

Enhancing Low-resolution Face Recognition with Feature Similarity Knowledge Distillation

In this study, we introduce a feature knowledge distillation framework t...

0 Sungho Shin, et al. ∙

∙ 12/22/2022

Scalable Primal Decomposition Schemes for Large-Scale Infrastructure Networks

The real-time operation of large-scale infrastructure networks requires ...

0 Alexander Engelmann, et al. ∙

∙ 12/05/2022

Block Selection Method for Using Feature Norm in Out-of-distribution Detection

Detecting out-of-distribution (OOD) inputs during the inference stage is...

0 Yeonguk Yu, et al. ∙

∙ 09/29/2022

Teaching Where to Look: Attention Similarity Knowledge Distillation for Low Resolution Face Recognition

Deep learning has achieved outstanding performance for face recognition ...

0 Sungho Shin, et al. ∙

∙ 04/12/2022

Near-Optimal Distributed Linear-Quadratic Regulator for Networked Systems

This paper studies the trade-off between the degree of decentralization ...

0 Sungho Shin, et al. ∙

∙ 01/07/2021

Object Detection for Understanding Assembly Instruction Using Context-aware Data Augmentation and Cascade Mask R-CNN

Understanding assembly instruction has the potential to enhance the robo...

0 Joosoon Lee, et al. ∙

∙ 09/30/2020

Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks

The quantization of deep neural networks (QDNNs) has been actively studi...

0 Yoonho Boo, et al. ∙

∙ 09/05/2020

S-SGD: Symmetrical Stochastic Gradient Descent with Weight Noise Injection for Reaching Flat Minima

The stochastic gradient descent (SGD) method is most widely used for dee...

0 Wonyong Sung, et al. ∙

∙ 08/22/2020

Multiple Classification with Split Learning

Privacy issues were raised in the process of training deep learning in m...

0 Jongwon Kim, et al. ∙

∙ 05/31/2020

Quantized Neural Networks: Characterization and Holistic Optimization

Quantized deep neural networks (QDNNs) are necessary for low-power, high...

0 Yoonho Boo, et al. ∙

∙ 05/14/2020

Overlapping Schwarz Decomposition for Nonlinear Optimal Control

We present an overlapping Schwarz decomposition algorithm for solving no...

0 Sen Na, et al. ∙

∙ 03/16/2020

Unifying Theorems for Subspace Identification and Dynamic Mode Decomposition

This paper presents unifying results for subspace identification (SID) a...

0 Sungho Shin, et al. ∙

∙ 03/12/2020

On the Convergence of the Dynamic Inner PCA Algorithm

Dynamic inner principal component analysis (DiPCA) is a powerful method ...

0 Sungho Shin, et al. ∙

∙ 02/02/2020

SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks

Designing a deep neural network (DNN) with good generalization capabilit...

0 Sungho Shin, et al. ∙

∙ 09/04/2019

Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks

Knowledge distillation (KD) is a very popular method for model size redu...

0 Sungho Shin, et al. ∙

∙ 11/05/2018

Workload-aware Automatic Parallelization for Multi-GPU DNN Training

Deep neural networks (DNNs) have emerged as successful solutions for var...

1 Sungho Shin, et al. ∙

∙ 11/19/2016

Quantized neural network design under weight capacity constraint

The complexity of deep neural network algorithms for hardware implementa...

0 Sungho Shin, et al. ∙

∙ 08/14/2016

Dynamic Hand Gesture Recognition for Wearable Devices with Low Complexity Recurrent Neural Networks

Gesture recognition is a very essential technology for many wearable dev...

0 Sungho Shin, et al. ∙

∙ 12/04/2015

Fixed-Point Performance Analysis of Recurrent Neural Networks

Recurrent neural networks have shown excellent performance in many appli...

0 Sungho Shin, et al. ∙

∙ 11/20/2015

Resiliency of Deep Neural Networks under Quantization

The complexity of deep neural network algorithms for hardware implementa...

0 Wonyong Sung, et al. ∙