Seungryong Kim

research

∙ 05/30/2023

DäRF: Boosting Radiance Fields from Sparse Inputs with Monocular Depth Adaptation

Neural radiance fields (NeRF) shows powerful performance in novel view s...

0 Jiuhn Song, et al. ∙

research

∙ 05/30/2023

DiffMatch: Diffusion Model for Dense Matching

The objective for establishing dense correspondence between paired image...

0 Jisu Nam, et al. ∙

research

∙ 05/23/2023

Large Language Models are Frame-level Directors for Zero-shot Text-to-Video Generation

In the paradigm of AI-generated content (AIGC), there has been increasin...

0 Susung Hong, et al. ∙

research

∙ 04/11/2023

Panoramic Image-to-Image Translation

In this paper, we tackle the challenging task of Panoramic Image-to-Imag...

0 Soohyun Kim, et al. ∙

research

∙ 04/04/2023

PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-identification

Modern data augmentation using a mixture-based technique can regularize ...

0 Minsu Kim, et al. ∙

research

∙ 03/27/2023

Debiasing Scores and Prompts of 2D Diffusion for Robust Text-to-3D Generation

The view inconsistency problem in score-distilling text-to-3D generation...

0 Susung Hong, et al. ∙

research

∙ 03/21/2023

CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation

Existing works on open-vocabulary semantic segmentation have utilized la...

0 Seokju Cho, et al. ∙

research

∙ 03/21/2023

ExtremeNeRF: Few-shot Neural Radiance Fields Under Unconstrained Illumination

In this paper, we propose a new challenge that synthesizes a novel view ...

0 SeokYeong Lee, et al. ∙

research

∙ 03/14/2023

Let 2D Diffusion Model Know 3D-Consistency for Robust Text-to-3D Generation

Text-to-3D generation has shown rapid progress in recent days with the a...

0 Junyoung Seo, et al. ∙

research

∙ 01/26/2023

GeCoNeRF: Few-shot Neural Radiance Fields via Geometric Consistency

We present a novel framework to regularize Neural Radiance Field (NeRF) ...

0 Minseop Kwak, et al. ∙

research

∙ 01/06/2023

You Truly Understand What I Need: Intellectual and Friendly Dialogue Agents grounding Knowledge and Persona

To build a conversational agent that interacts fluently with humans, pre...

0 Jungwoo Lim, et al. ∙

research

∙ 12/27/2022

DiffFace: Diffusion-based Face Swapping with Facial Guidance

In this paper, we propose a diffusion-based face swapping framework for ...

0 Kihong Kim, et al. ∙

research

∙ 12/21/2022

Semi-Supervised Learning of Monocular Depth Estimation via Consistency Regularization with K-way Disjoint Masking

Semi-Supervised Learning (SSL) has recently accomplished successful achi...

0 Jongbeom Baek, et al. ∙

research

∙ 12/17/2022

DAG: Depth-Aware Guidance with Denoising Diffusion Probabilistic Models

In recent years, generative models have undergone significant advancemen...

0 Gyeongnyeon Kim, et al. ∙

research

∙ 11/20/2022

SplitNet: Learnable Clean-Noisy Label Splitting for Learning with Noisy Labels

Annotating the dataset with high-quality labels is crucial for performan...

0 Daehwan Kim, et al. ∙

research

∙ 10/14/2022

Controllable Style Transfer via Test-time Training of Implicit Neural Representation

We propose a controllable style transfer framework based on Implicit Neu...

0 Sunwoo Kim, et al. ∙

research

∙ 10/13/2022

3D GAN Inversion with Pose Optimization

With the recent advances in NeRF-based 3D aware GANs quality, projecting...

0 Jaehoon Ko, et al. ∙

research

∙ 10/06/2022

Neural Matching Fields: Implicit Representation of Matching Fields for Visual Correspondence

Existing pipelines of semantic correspondence commonly include extractin...

0 Sunghwan Hong, et al. ∙

research

∙ 10/04/2022

Towards Flexible Inductive Bias via Progressive Reparameterization Scheduling

There are two de facto standard architectures in recent computer vision:...

0 Yunsung Lee, et al. ∙

research

∙ 10/03/2022

Improving Sample Quality of Diffusion Models Using Self-Attention Guidance

Following generative adversarial networks (GANs), a de facto standard mo...

0 Susung Hong, et al. ∙

research

∙ 09/22/2022

MIDMs: Matching Interleaved Diffusion Models for Exemplar-based Image Translation

We present a novel method for exemplar-based image translation, called m...

0 Junyoung Seo, et al. ∙

research

∙ 09/19/2022

Integrative Feature and Cost Aggregation with Transformers for Dense Correspondence

We present a novel architecture for dense correspondence. The current st...

0 Sunghwan Hong, et al. ∙

research

∙ 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. ∙

research

∙ 07/22/2022

Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation

This paper presents a novel cost aggregation network, called Volumetric ...

0 Sunghwan Hong, et al. ∙

research

∙ 04/28/2022

AE-NeRF: Auto-Encoding Neural Radiance Fields for 3D-Aware Object Manipulation

We propose a novel framework for 3D-aware object manipulation, called Au...

0 Mira Kim, et al. ∙

research

∙ 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. ∙

research

∙ 03/30/2022

InstaFormer: Instance-Aware Image-to-Image Translation with Transformer

We present a novel Transformer-based network architecture for instance-a...

0 Soohyun Kim, et al. ∙

research

∙ 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. ∙

research

∙ 03/18/2022

Semi-Supervised Learning with Mutual Distillation for Monocular Depth Estimation

We propose a semi-supervised learning framework for monocular depth esti...

0 Jongbeom Baek, et al. ∙

research

∙ 02/14/2022

CATs++: Boosting Cost Aggregation with Convolutions and Transformers

Cost aggregation is a highly important process in image matching tasks, ...

0 Seokju Cho, et al. ∙

research

∙ 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. ∙

research

∙ 01/06/2022

Memory-guided Image De-raining Using Time-Lapse Data

This paper addresses the problem of single image de-raining, that is, th...

8 Jaehoon Cho, et al. ∙

research

∙ 12/22/2021

Cost Aggregation Is All You Need for Few-Shot Segmentation

We introduce a novel cost aggregation network, dubbed Volumetric Aggrega...

15 Sunghwan Hong, et al. ∙

research

∙ 12/16/2021

Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge

Humans usually have conversations by making use of prior knowledge about...

0 Yoonna Jang, et al. ∙

research

∙ 12/12/2021

Deep Translation Prior: Test-time Training for Photorealistic Style Transfer

Recent techniques to solve photorealistic style transfer within deep con...

0 Sunwoo Kim, et al. ∙

research

∙ 11/21/2021

HoughCL: Finding Better Positive Pairs in Dense Self-supervised Learning

Recently, self-supervised methods show remarkable achievements in image-...

0 Yunsung Lee, et al. ∙

research

∙ 08/17/2021

MOI-Mixer: Improving MLP-Mixer with Multi Order Interactions in Sequential Recommendation

Successful sequential recommendation systems rely on accurately capturin...

0 Hojoon Lee, et al. ∙

research

∙ 08/10/2021

Learning Canonical 3D Object Representation for Fine-Grained Recognition

We propose a novel framework for fine-grained object recognition that le...

6 Sunghun Joung, et al. ∙

research

∙ 06/06/2021

Deep Matching Prior: Test-Time Optimization for Dense Correspondence

Conventional techniques to establish dense correspondences across visual...

0 Sunghwan Hong, et al. ∙

research

∙ 06/04/2021

Semantic Correspondence with Transformers

We propose a novel cost aggregation network, called Cost Aggregation wit...

0 Seokju Cho, et al. ∙

research

∙ 03/29/2021

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening

Enhancing the generalization capability of deep neural networks to unsee...

10 Sungha Choi, et al. ∙

research

∙ 01/02/2021

On the confidence of stereo matching in a deep-learning era: a quantitative evaluation

Stereo matching is one of the most popular techniques to estimate dense ...

11 Matteo Poggi, et al. ∙

research

∙ 12/15/2020

Cross-Domain Grouping and Alignment for Domain Adaptive Semantic Segmentation

Existing techniques to adapt semantic segmentation networks across the s...

7 Minsu Kim, et al. ∙

research

∙ 11/18/2020

Online Exemplar Fine-Tuning for Image-to-Image Translation

Existing techniques to solve exemplar-based image-to-image translation w...

5 Taewon Kang, et al. ∙

research

∙ 09/27/2020

Adaptive confidence thresholding for semi-supervised monocular depth estimation

Self-supervised monocular depth estimation has become an appealing solut...

0 Hyesong Choi, et al. ∙

research

∙ 07/18/2020

Volumetric Transformer Networks

Existing techniques to encode spatial invariance within deep convolution...

0 Seungryong Kim, et al. ∙

research

∙ 03/25/2020

Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation

Existing techniques to encode spatial invariance within deep convolution...

11 Sunghun Joung, et al. ∙

research

∙ 10/02/2019

Joint Learning of Semantic Alignment and Object Landmark Detection

Convolutional neural networks (CNNs) based approaches for semantic align...

9 Sangryul Jeon, et al. ∙

research

∙ 08/16/2019

Context-Aware Emotion Recognition Networks

Traditional techniques for emotion recognition have focused on the facia...

2 Jiyoung Lee, et al. ∙

research

∙ 04/05/2019

Semantic Attribute Matching Networks

We present semantic attribute matching networks (SAM-Net) for jointly es...

0 Seungryong Kim, et al. ∙

Seungryong Kim

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