Seongsik Park | DeepAI

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Featured Co-authors

Sungroh Yoon
92 publications
Dongjin Lee
15 publications
Junseok Lee
13 publications
Sang-gil Lee
9 publications
Byunggook Na
8 publications
Harksoo Kim
8 publications
Seijoon Kim
8 publications
Ho Bae
7 publications
Jisoo Mok
6 publications
Hyeokjun Choe
5 publications
Jaehee Jang
5 publications

∙ 08/04/2023

M2Former: Multi-Scale Patch Selection for Fine-Grained Visual Recognition

Recently, vision Transformers (ViTs) have been actively applied to fine-...

0 Jiyong Moon, et al. ∙

∙ 08/01/2023

Gradient Scaling on Deep Spiking Neural Networks with Spike-Dependent Local Information

Deep spiking neural networks (SNNs) are promising neural networks for th...

0 Seongsik Park, et al. ∙

∙ 03/14/2023

SimFLE: Simple Facial Landmark Encoding for Self-Supervised Facial Expression Recognition in the Wild

One of the key issues in facial expression recognition in the wild (FER-...

0 Jiyong Moon, et al. ∙

∙ 06/15/2022

E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations

Event cameras respond to brightness changes in the scene asynchronously ...

0 Jongwan Kim, et al. ∙

∙ 01/30/2022

AutoSNN: Towards Energy-Efficient Spiking Neural Networks

Spiking neural networks (SNNs) that mimic information transmission in th...

0 Byunggook Na, et al. ∙

∙ 10/23/2021

Scalable Smartphone Cluster for Deep Learning

Various deep learning applications on smartphones have been rapidly risi...

0 Byunggook Na, et al. ∙

∙ 07/20/2021

Improving Sentence-Level Relation Extraction through Curriculum Learning

Sentence-level relation extraction mainly aims to classify the relation ...

0 Seongsik Park, et al. ∙

∙ 06/14/2021

Energy-efficient Knowledge Distillation for Spiking Neural Networks

Spiking neural networks (SNNs) have been gaining interest as energy-effi...

0 Dongjin Lee, et al. ∙

∙ 06/04/2021

Training Energy-Efficient Deep Spiking Neural Networks with Time-to-First-Spike Coding

The tremendous energy consumption of deep neural networks (DNNs) has bec...

0 Seongsik Park, et al. ∙

∙ 04/22/2021

Noise-Robust Deep Spiking Neural Networks with Temporal Information

Spiking neural networks (SNNs) have emerged as energy-efficient neural n...

0 Seongsik Park, et al. ∙

∙ 03/05/2021

Dual Pointer Network for Fast Extraction of Multiple Relations in a Sentence

Relation extraction is a type of information extraction task that recogn...

0 Seongsik Park, et al. ∙

∙ 03/26/2020

T2FSNN: Deep Spiking Neural Networks with Time-to-first-spike Coding

Spiking neural networks (SNNs) have gained considerable interest due to ...

0 Seongsik Park, et al. ∙

∙ 03/12/2019

Spiking-YOLO: Spiking Neural Network for Real-time Object Detection

Over the past decade, deep neural networks (DNNs) have become a de-facto...

22 Seijoon Kim, et al. ∙

∙ 09/10/2018

Fast and Efficient Information Transmission with Burst Spikes in Deep Spiking Neural Networks

The spiking neural networks (SNNs), the 3rd generation of neural network...

0 Seongsik Park, et al. ∙

∙ 05/21/2018

Streaming MANN: A Streaming-Based Inference for Energy-Efficient Memory-Augmented Neural Networks

With the successful development of artificial intelligence using deep le...

0 Seongsik Park, et al. ∙

∙ 11/10/2017

Quantized Memory-Augmented Neural Networks

Memory-augmented neural networks (MANNs) refer to a class of neural netw...

0 Seongsik Park, et al. ∙

∙ 11/08/2016

An Efficient Approach to Boosting Performance of Deep Spiking Network Training

Nowadays deep learning is dominating the field of machine learning with ...

0 Seongsik Park, et al. ∙

∙ 10/06/2016

Near-Data Processing for Differentiable Machine Learning Models

Near-data processing (NDP) refers to augmenting memory or storage with p...

0 Hyeokjun Choe, et al. ∙

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