Jiwon Kim | DeepAI

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Featured Co-authors

Kyoung Mu Lee
77 publications
Seungryong Kim
58 publications
Kai Zheng
45 publications
Kuk-Jin Yoon
35 publications
Youngeun Kim
33 publications
Tae Hyun Kim
21 publications
Alsharif Abuadbba
21 publications
Seunghan Yang
17 publications
Donghyeon Cho
16 publications
Seunghwan Lee
15 publications
Youngduck Choi
14 publications

∙ 09/05/2023

Towards Understanding of Deepfake Videos in the Wild

Deepfakes have become a growing concern in recent years, prompting resea...

0 Beomsang Cho, et al. ∙

∙ 05/24/2023

Leveraging Future Relationship Reasoning for Vehicle Trajectory Prediction

Understanding the interaction between multiple agents is crucial for rea...

0 Daehee Park, et al. ∙

∙ 12/06/2022

Trajectory Flow Map: Graph-based Approach to Analysing Temporal Evolution of Aggregated Traffic Flows in Large-scale Urban Networks

This paper proposes a graph-based approach to representing spatio-tempor...

0 Jiwon Kim, et al. ∙

∙ 11/14/2022

A deep learning framework to generate realistic population and mobility data

Census and Household Travel Survey datasets are regularly collected from...

0 Eren Arkangil, et al. ∙

∙ 08/18/2022

ConMatch: Semi-Supervised Learning with Confidence-Guided Consistency Regularization

We present a novel semi-supervised learning framework that intelligently...

0 Jiwon Kim, et al. ∙

∙ 06/26/2022

Estimating Link Flows in Road Networks with Synthetic Trajectory Data Generation: Reinforcement Learning-based Approaches

This paper addresses the problem of estimating link flows in a road netw...

0 Miner Zhong, et al. ∙

∙ 04/05/2022

Joint Learning of Feature Extraction and Cost Aggregation for Semantic Correspondence

Establishing dense correspondences across semantically similar images is...

0 Jiwon Kim, et al. ∙

∙ 03/30/2022

Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels

Establishing dense correspondences across semantically similar images re...

0 Jiwon Kim, et al. ∙

∙ 01/25/2022

AggMatch: Aggregating Pseudo Labels for Semi-Supervised Learning

Semi-supervised learning (SSL) has recently proven to be an effective pa...

0 Jiwon Kim, et al. ∙

∙ 08/26/2021

A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts

Theory-of-mind (ToM), a human ability to infer the intentions and though...

21 Yoon Kyung Lee, et al. ∙

∙ 08/07/2020

Associative Partial Domain Adaptation

Partial Adaptation (PDA) addresses a practical scenario in which the tar...

0 Youngeun Kim, et al. ∙

∙ 07/28/2020

TrajGAIL: Generating Urban Vehicle Trajectories using Generative Adversarial Imitation Learning

Recently, there are an abundant amount of urban vehicle trajectory data ...

0 Seongjin Choi, et al. ∙

∙ 07/10/2020

Sample-based Regularization: A Transfer Learning Strategy Toward Better Generalization

Training a deep neural network with a small amount of data is a challeng...

5 Yunho Jeon, et al. ∙

∙ 03/09/2020

Restore from Restored: Video Restoration with Pseudo Clean Video

In this paper, we propose a self-supervised video denoising method calle...

0 Seunghwan Lee, et al. ∙

∙ 03/09/2020

Restore from Restored: Single Image Denoising with Pseudo Clean Image

Under certain statistical assumptions of noise (e.g., zero-mean noise), ...

0 Seunghwan Lee, et al. ∙

∙ 01/09/2020

Fast Adaptation to Super-Resolution Networks via Meta-Learning

Conventional supervised super-resolution (SR) approaches are trained wit...

24 Seobin Park, et al. ∙

∙ 01/09/2020

Self-Supervised Fast Adaptation for Denoising via Meta-Learning

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

26 Seunghwan Lee, et al. ∙

∙ 06/18/2019

Key Instance Selection for Unsupervised Video Object Segmentation

This paper proposes key instance selection based on video saliency cover...

0 Donghyeon Cho, et al. ∙

∙ 06/05/2019

Discriminative Few-Shot Learning Based on Directional Statistics

Metric-based few-shot learning methods try to overcome the difficulty du...

0 Subin Yi, et al. ∙

∙ 12/18/2018

Attention-based Recurrent Neural Network for Urban Vehicle Trajectory Prediction

As the number of various positioning sensors and location-based devices ...

22 Seongjin Choi, et al. ∙

∙ 06/20/2018

Doubly Nested Network for Resource-Efficient Inference

We propose doubly nested network(DNNet) where all neurons represent thei...

0 Jaehong Kim, et al. ∙

∙ 06/11/2018

Meta Continual Learning

Using neural networks in practical settings would benefit from the abili...

0 Risto Vuorio, et al. ∙

∙ 06/11/2018

Auto-Meta: Automated Gradient Based Meta Learner Search

Fully automating machine learning pipeline is one of the outstanding cha...

0 Jaehong Kim, et al. ∙

∙ 07/31/2017

Unsupervised Visual Attribute Transfer with Reconfigurable Generative Adversarial Networks

Learning to transfer visual attributes requires supervision dataset. Cor...

0 Taeksoo Kim, et al. ∙

∙ 06/26/2017

End-to-end Learning of Image based Lane-Change Decision

We propose an image based end-to-end learning framework that helps lane-...

0 Seong-Gyun Jeong, et al. ∙

∙ 05/24/2017

Continual Learning with Deep Generative Replay

Attempts to train a comprehensive artificial intelligence capable of sol...

0 Hanul Shin, et al. ∙

∙ 03/15/2017

Learning to Discover Cross-Domain Relations with Generative Adversarial Networks

While humans easily recognize relations between data from different doma...

0 Taeksoo Kim, et al. ∙

∙ 11/14/2015

Deeply-Recursive Convolutional Network for Image Super-Resolution

We propose an image super-resolution method (SR) using a deeply-recursiv...

0 Jiwon Kim, et al. ∙

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