Jin-Hwa Kim | DeepAI

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∙ 08/24/2023

Dense Text-to-Image Generation with Attention Modulation

Existing text-to-image diffusion models struggle to synthesize realistic...

0 Yunji Kim, et al. ∙

∙ 06/05/2023

Overcoming Weak Visual-Textual Alignment for Video Moment Retrieval

Video moment retrieval (VMR) aims to identify the specific moment in an ...

0 Minjoon Jung, et al. ∙

∙ 05/27/2023

Query-Efficient Black-Box Red Teaming via Bayesian Optimization

The deployment of large-scale generative models is often restricted by t...

0 Deokjae Lee, et al. ∙

∙ 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. ∙

∙ 04/04/2023

Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models

Token-based masked generative models are gaining popularity for their fa...

2 Jaewoong Lee, et al. ∙

∙ 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. ∙

∙ 02/23/2023

Unified Chest X-ray and Radiology Report Generation Model with Multi-view Chest X-rays

Generated synthetic data in medical research can substitute privacy and ...

0 Hyungyung Lee, et al. ∙

∙ 02/13/2023

3D-aware Blending with Generative NeRFs

Image blending aims to combine multiple images seamlessly. It remains ch...

0 Hyunsu Kim, et al. ∙

∙ 02/03/2023

Robust Camera Pose Refinement for Multi-Resolution Hash Encoding

Multi-resolution hash encoding has recently been proposed to reduce the ...

0 Hwan Heo, et al. ∙

∙ 01/27/2023

Semi-Parametric Video-Grounded Text Generation

Efficient video-language modeling should consider the computational cost...

0 Sungdong Kim, et al. ∙

∙ 11/04/2022

SelecMix: Debiased Learning by Contradicting-pair Sampling

Neural networks trained with ERM (empirical risk minimization) sometimes...

0 Inwoo Hwang, et al. ∙

∙ 10/23/2022

Modal-specific Pseudo Query Generation for Video Corpus Moment Retrieval

Video corpus moment retrieval (VCMR) is the task to retrieve the most re...

8 Minjoon Jung, et al. ∙

∙ 10/08/2022

AlphaTuning: Quantization-Aware Parameter-Efficient Adaptation of Large-Scale Pre-Trained Language Models

There are growing interests in adapting large-scale language models usin...

8 Se Jung Kwon, et al. ∙

∙ 05/25/2022

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models

Text-to-image generation and image captioning are recently emerged as a ...

0 Jin-Hwa Kim, et al. ∙

∙ 05/25/2022

The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training

Visual dialog (VisDial) is a task of answering a sequence of questions g...

0 Gi-Cheon Kang, et al. ∙

∙ 05/11/2022

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning

Cross-domain few-shot learning (CD-FSL), where there are few target samp...

5 Jaehoon Oh, et al. ∙

∙ 02/01/2022

Understanding Cross-Domain Few-Shot Learning: An Experimental Study

Cross-domain few-shot learning has drawn increasing attention for handli...

1 Jaehoon Oh, et al. ∙

∙ 05/31/2021

Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

We present the efficiency of semi-orthogonal embedding for unsupervised ...

0 Jin-Hwa Kim, et al. ∙

∙ 06/08/2020

Multi-step Estimation for Gradient-based Meta-learning

Gradient-based meta-learning approaches have been successful in few-shot...

9 Jin-Hwa Kim, et al. ∙

∙ 04/14/2020

DialGraph: Sparse Graph Learning Networks for Visual Dialog

Visual dialog is a task of answering a sequence of questions grounded in...

21 Gi-Cheon Kang, et al. ∙

∙ 09/21/2018

Multimodal Dual Attention Memory for Video Story Question Answering

We propose a video story question-answering (QA) architecture, Multimoda...

0 Kyung-Min Kim, et al. ∙

∙ 05/21/2018

Bilinear Attention Networks

Attention networks in multimodal learning provide an efficient way to ut...

0 Jin-Hwa Kim, et al. ∙

∙ 12/18/2017

Visual Explanations from Hadamard Product in Multimodal Deep Networks

The visual explanation of learned representation of models helps to unde...

0 Jin-Hwa Kim, et al. ∙

∙ 12/15/2017

CoDraw: Visual Dialog for Collaborative Drawing

In this work, we propose a goal-driven collaborative task that contains ...

0 Jin-Hwa Kim, et al. ∙

∙ 10/14/2016

Hadamard Product for Low-rank Bilinear Pooling

Bilinear models provide rich representations compared with linear models...

0 Jin-Hwa Kim, et al. ∙

∙ 06/05/2016

Multimodal Residual Learning for Visual QA

Deep neural networks continue to advance the state-of-the-art of image r...

0 Jin-Hwa Kim, et al. ∙

∙ 11/24/2015

rnn : Recurrent Library for Torch

The rnn package provides components for implementing a wide range of Rec...

0 Nicholas Léonard, et al. ∙

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