b'Seon Joo Kim'

research

∙ 08/20/2023

Domain Reduction Strategy for Non Line of Sight Imaging

This paper presents a novel optimization-based method for non-line-of-si...

0 Hyunbo Shim, et al. ∙

research

∙ 03/31/2023

Shepherding Slots to Objects: Towards Stable and Robust Object-Centric Learning

Object-centric learning (OCL) aspires general and compositional understa...

0 Jinwoo Kim, et al. ∙

research

∙ 11/17/2022

ComMU: Dataset for Combinatorial Music Generation

Commercial adoption of automatic music composition requires the capabili...

0 Lee Hyun, et al. ∙

research

∙ 11/16/2022

A Generalized Framework for Video Instance Segmentation

Recently, handling long videos of complex and occluded sequences has eme...

0 Miran Heo, et al. ∙

research

∙ 11/11/2022

Soft-Landing Strategy for Alleviating the Task Discrepancy Problem in Temporal Action Localization Tasks

Temporal Action Localization (TAL) methods typically operate on top of f...

0 Hyolim Kang, et al. ∙

research

∙ 07/21/2022

Error Compensation Framework for Flow-Guided Video Inpainting

The key to video inpainting is to use correlation information from as ma...

0 Jaeyeon Kang, et al. ∙

research

∙ 06/09/2022

VITA: Video Instance Segmentation via Object Token Association

We introduce a novel paradigm for offline Video Instance Segmentation (V...

0 Miran Heo, et al. ∙

research

∙ 06/05/2022

Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos

Recently, both long-tailed recognition and object tracking have made gre...

0 Sukjun Hwang, et al. ∙

research

∙ 12/08/2021

VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation

For online video instance segmentation (VIS), fully utilizing the inform...

0 Su Ho Han, et al. ∙

research

∙ 11/29/2021

UBoCo : Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection

Generic Event Boundary Detection (GEBD) is a newly suggested video under...

0 Hyolim Kang, et al. ∙

research

∙ 06/22/2021

Winning the CVPR'2021 Kinetics-GEBD Challenge: Contrastive Learning Approach

Generic Event Boundary Detection (GEBD) is a newly introduced task that ...

0 Hyolim Kang, et al. ∙

research

∙ 06/07/2021

Video Instance Segmentation using Inter-Frame Communication Transformers

We propose a novel end-to-end solution for video instance segmentation (...

0 Sukjun Hwang, et al. ∙

research

∙ 05/30/2021

Polygonal Point Set Tracking

In this paper, we propose a novel learning-based polygonal point set tra...

0 Gunhee Nam, et al. ∙

research

∙ 04/16/2021

Temporally smooth online action detection using cycle-consistent future anticipation

Many video understanding tasks work in the offline setting by assuming t...

0 Young Hwi Kim, et al. ∙

research

∙ 12/03/2020

Single-shot Path Integrated Panoptic Segmentation

Panoptic segmentation, which is a novel task of unifying instance segmen...

0 Sukjun Hwang, et al. ∙

research

∙ 07/17/2020

Cross-Identity Motion Transfer for Arbitrary Objects through Pose-Attentive Video Reassembling

We propose an attention-based networks for transferring motions between ...

0 Subin Jeon, et al. ∙

research

∙ 04/06/2020

Deep Space-Time Video Upsampling Networks

Video super-resolution (VSR) and frame interpolation (FI) are traditiona...

2 Jaeyeon Kang, et al. ∙

research

∙ 03/20/2020

DMV: Visual Object Tracking via Part-level Dense Memory and Voting-based Retrieval

We propose a novel memory-based tracker via part-level dense memory and ...

0 Gunhee Nam, et al. ∙

research

∙ 03/20/2020

Learning the Loss Functions in a Discriminative Space for Video Restoration

With more advanced deep network architectures and learning schemes such ...

16 Younghyun Jo, et al. ∙

research

∙ 10/04/2019

Unsupervised Keypoint Learning for Guiding Class-Conditional Video Prediction

We propose a deep video prediction model conditioned on a single image a...

19 Yunji Kim, et al. ∙

research

∙ 08/30/2019

Copy-and-Paste Networks for Deep Video Inpainting

We present a novel deep learning based algorithm for video inpainting. V...

13 Sungho Lee, et al. ∙

research

∙ 08/23/2019

Onion-Peel Networks for Deep Video Completion

We propose the onion-peel networks for video completion. Given a set of ...

4 Seoung Wug Oh, et al. ∙

research

∙ 04/22/2019

Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks

We present a deep learning method for the interactive video object segme...

14 Seoung Wug Oh, et al. ∙

research

∙ 04/01/2019

End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image

Time-lapse videos usually contain visually appealing content but are oft...

0 Seonghyeon Nam, et al. ∙

research

∙ 04/01/2019

Video Object Segmentation using Space-Time Memory Networks

We propose a novel solution for semi-supervised video object segmentatio...

0 Seoung Wug Oh, et al. ∙

research

∙ 10/29/2018

Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language

This paper addresses the problem of manipulating images using natural la...

0 Seonghyeon Nam, et al. ∙

research

∙ 04/06/2018

EPINET: A Fully-Convolutional Neural Network Using Epipolar Geometry for Depth from Light Field Images

Light field cameras capture both the spatial and the angular properties ...

6 Changha Shin, et al. ∙

research

∙ 07/26/2017

Modelling the Scene Dependent Imaging in Cameras with a Deep Neural Network

We present a novel deep learning framework that models the scene depende...

0 Seonghyeon Nam, et al. ∙

research

∙ 06/26/2017

Deep Semantics-Aware Photo Adjustment

Automatic photo adjustment is to mimic the photo retouching style of pro...

0 Seonghyeon Nam, et al. ∙

research

∙ 05/22/2017

Building Emotional Machines: Recognizing Image Emotions through Deep Neural Networks

An image is a very effective tool for conveying emotions. Many researche...

0 Hye-Rin Kim, et al. ∙

research

∙ 08/29/2016

Approaching the Computational Color Constancy as a Classification Problem through Deep Learning

Computational color constancy refers to the problem of computing the ill...

0 Seoung Wug Oh, et al. ∙

Seon Joo Kim

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