HanYang University

research

∙ 01/09/2020

Self-Supervised Fast Adaptation for Denoising via Meta-Learning

Under certain statistical assumptions of noise, recent self-supervised a...

Seunghwan Lee, et al. ∙

research

∙ 02/25/2019

Harmonizing Maximum Likelihood with GANs for Multimodal Conditional Generation

Recent advances in conditional image generation tasks, such as image-to-...

Soochan Lee, et al. ∙

research

∙ 01/14/2022

Boundary-aware Self-supervised Learning for Video Scene Segmentation

Self-supervised learning has drawn attention through its effectiveness i...

Jonghwan Mun, et al. ∙

research

∙ 11/12/2021

Neural Motion Planning for Autonomous Parking

This paper presents a hybrid motion planning strategy that combines a de...

Dongchan Kim, et al. ∙

research

∙ 06/16/2022

Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator

Large-scale pre-trained language models (PLMs) are well-known for being ...

Hyuhng Joon Kim, et al. ∙

research

∙ 09/27/2021

Training Spiking Neural Networks Using Lessons From Deep Learning

The brain is the perfect place to look for inspiration to develop more e...

Jason K. Eshraghian, 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

∙ 08/01/2019

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...

Jin Hyeok Yoo, et al. ∙

research

∙ 04/22/2022

Hypergraph Transformer: Weakly-supervised Multi-hop Reasoning for Knowledge-based Visual Question Answering

Knowledge-based visual question answering (QA) aims to answer a question...

Yu-Jung Heo, et al. ∙

research

∙ 03/18/2020

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

In this paper, we present an omnidirectional localization and dense mapp...

Changhee Won, et al. ∙

research

∙ 02/28/2019

SweepNet: Wide-baseline Omnidirectional Depth Estimation

Omnidirectional depth sensing has its advantage over the conventional st...

Changhee Won, et al. ∙

research

∙ 07/24/2019

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

Estimating accurate depth from a single image is challenging, because it...

Jin Han Lee, et al. ∙

research

∙ 07/17/2018

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

The goal of multi-modal learning is to use complimentary information on ...

Jaekyum Kim, et al. ∙

research

∙ 10/20/2022

Enhancing Out-of-Distribution Detection in Natural Language Understanding via Implicit Layer Ensemble

Out-of-distribution (OOD) detection aims to discern outliers from the in...

Hyunsoo Cho, et al. ∙

research

∙ 03/31/2022

Video-Text Representation Learning via Differentiable Weak Temporal Alignment

Learning generic joint representations for video and text by a supervise...

Dohwan Ko, et al. ∙

research

∙ 02/08/2022

Boosting Graph Neural Networks by Injecting Pooling in Message Passing

There has been tremendous success in the field of graph neural networks ...

Hyeokjin Kwon, et al. ∙

research

∙ 12/14/2021

Joint 3D Object Detection and Tracking Using Spatio-Temporal Representation of Camera Image and LiDAR Point Clouds

In this paper, we propose a new joint object detection and tracking (JoD...

Junho Koh, et al. ∙

research

∙ 04/23/2022

Integer Forcing Interference Management for the MIMO Interference Channel

A new interference management scheme based on integer forcing (IF) recei...

Sung Ho Chae, et al. ∙

research

∙ 04/29/2022

A Directional Vibrotactile Feedback Interface for Ergonomic Postural Adjustment

The objective of this paper is to develop and evaluate a directional vib...

Wansoo Kim, et al. ∙

research

∙ 12/03/2021

NN-LUT: Neural Approximation of Non-Linear Operations for Efficient Transformer Inference

Non-linear operations such as GELU, Layer normalization, and Softmax are...

Joonsang Yu, et al. ∙

research

∙ 05/13/2022

OFedQIT: Communication-Efficient Online Federated Learning via Quantization and Intermittent Transmission

Online federated learning (OFL) is a promising framework to collaborativ...

Jonghwan Park, et al. ∙

research

∙ 11/25/2021

Look at here : Utilizing supervision to attend subtle key regions

Despite the success of deep learning in computer vision, algorithms to r...

Changhwan Lee, et al. ∙

research

∙ 11/11/2021

An Online Multi-Index Approach to Human Ergonomics Assessment in the Workplace

Work-related musculoskeletal disorders (WMSDs) remain one of the major o...

Marta Lorenzini, et al. ∙

research

∙ 06/08/2022

Learning Task Agnostic Temporal Consistency Correction

Due to the scarcity of video processing methodologies, image processing ...

Muhammad Kashif Ali, et al. ∙

research

∙ 06/09/2022

Exploiting In-Slot Micro-Synchronism for S-ALOHA

Proliferation of the urban Internet-of-Things (IoTs) for smart cities ha...

Yangqian Hu, et al. ∙

research

∙ 10/13/2021

Winning the ICCV'2021 VALUE Challenge: Task-aware Ensemble and Transfer Learning with Visual Concepts

The VALUE (Video-And-Language Understanding Evaluation) benchmark is new...

Minchul Shin, et al. ∙

research

∙ 10/07/2021

Layer-wise Pruning of Transformer Attention Heads for Efficient Language Modeling

While Transformer-based models have shown impressive language modeling p...

Kyuhong Shim, et al. ∙

research

∙ 06/22/2022

HybridRAM: The first quantum approach for key recovery attacks on Rainbow

A rectangular MinRank attack, proposed by Ward Beullens in 2021, reduced...

Seong-Min Cho, et al. ∙

research

∙ 09/30/2022

D-Align: Dual Query Co-attention Network for 3D Object Detection Based on Multi-frame Point Cloud Sequence

LiDAR sensors are widely used for 3D object detection in various mobile ...

Junhyung Lee, et al. ∙

research

∙ 01/29/2023

Exploring Attention Map Reuse for Efficient Transformer Neural Networks

Transformer-based deep neural networks have achieved great success in va...

Kyuhong Shim, et al. ∙

research

∙ 01/06/2023

High-Performance Deterministic Concurrency using Lingua Franca

Actor frameworks and similar reactive programming techniques are widely ...

Christian Menard, et al. ∙

research

∙ 12/21/2022

Prompt-Augmented Linear Probing: Scaling Beyond The Limit of Few-shot In-Context Learners

Through in-context learning (ICL), large-scale language models are effec...

Hyunsoo Cho, et al. ∙

research

∙ 12/16/2022

MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields

Hinged on the representation power of neural networks, neural radiance f...

JaeYoung Chung, et al. ∙

research

∙ 11/22/2022

An unified material interpolation for topology optimization of multi-materials

Topology optimization is one of the engineering tools for finding effici...

Bing Yi, et al. ∙

research

∙ 11/24/2022

3D Dual-Fusion: Dual-Domain Dual-Query Camera-LiDAR Fusion for 3D Object Detection

Fusing data from cameras and LiDAR sensors is an essential technique to ...

Yecheol Kim, et al. ∙

research

∙ 11/20/2022

Understanding and Improving Knowledge Distillation for Quantization-Aware Training of Large Transformer Encoders

Knowledge distillation (KD) has been a ubiquitous method for model compr...

Minsoo Kim, et al. ∙

research

∙ 11/03/2022

Data-efficient End-to-end Information Extraction for Statistical Legal Analysis

Legal practitioners often face a vast amount of documents. Lawyers, for ...

Wonseok Hwang, et al. ∙

research

∙ 10/29/2022

Boosting Monocular 3D Object Detection with Object-Centric Auxiliary Depth Supervision

Recent advances in monocular 3D detection leverage a depth estimation ne...

Youngseok Kim, et al. ∙

research

∙ 10/19/2022

Dense but Efficient VideoQA for Intricate Compositional Reasoning

It is well known that most of the conventional video question answering ...

Jihyeon Lee, et al. ∙

research

∙ 06/17/2022

Improving Diversity of Multiple Trajectory Prediction based on Map-adaptive Lane Loss

Prior arts in the field of motion predictions for autonomous driving ten...

Sanmin Kim, et al. ∙

research

∙ 09/14/2022

Towards Better Generalization with Flexible Representation of Multi-Module Graph Neural Networks

Graph neural networks (GNNs) have become compelling models designed to p...

Hyungeun Lee, et al. ∙

research

∙ 09/14/2022

CRAFT: Camera-Radar 3D Object Detection with Spatio-Contextual Fusion Transformer

Camera and radar sensors have significant advantages in cost, reliabilit...

Youngseok Kim, et al. ∙

research

∙ 09/03/2022

Phishing URL Detection: A Network-based Approach Robust to Evasion

Many cyberattacks start with disseminating phishing URLs. When clicking ...

Taeri Kim, et al. ∙

research

∙ 08/20/2022

Evaluating Out-of-Distribution Detectors Through Adversarial Generation of Outliers

A reliable evaluation method is essential for building a robust out-of-d...

Sangwoong Yoon, et al. ∙

research

∙ 08/15/2022

Hierarchical Attention Network for Few-Shot Object Detection via Meta-Contrastive Learning

Few-shot object detection (FSOD) aims to classify and detect few images ...

Dongwoo Park, et al. ∙

research

∙ 07/24/2022

A Custom IC Layout Generation Engine Based on Dynamic Templates and Grids

This paper presents an automatic layout generation framework in advanced...

Taeho Shin, et al. ∙

research

∙ 07/21/2022

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution

Despite breakthrough advances in image super-resolution (SR) with convol...

Cheeun Hong, et al. ∙

research

∙ 07/15/2022

Communication-Efficient Diffusion Strategy for Performance Improvement of Federated Learning with Non-IID Data

Federated learning (FL) is a novel learning paradigm that addresses the ...

Seyoung Ahn, et al. ∙

research

∙ 11/20/2020

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...

Junho Koh, et al. ∙

research

∙ 03/22/2018

Deep Pose Consensus Networks

In this paper, we address the problem of estimating a 3D human pose from...

Geonho Cha, et al. ∙

HanYang University

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