b'Bohyung Han'

research

∙ 09/05/2023

NICE 2023 Zero-shot Image Captioning Challenge

In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...

0 Taehoon Kim, et al. ∙

research

∙ 05/29/2023

Conditional Score Guidance for Text-Driven Image-to-Image Translation

We present a novel algorithm for text-driven image-to-image translation ...

0 Hyunsoo Lee, et al. ∙

research

∙ 04/27/2023

ContraNeRF: 3D-Aware Generative Model via Contrastive Learning with Unsupervised Implicit Pose Embedding

Although 3D-aware GANs based on neural radiance fields have achieved com...

0 Mijeoong Kim, et al. ∙

research

∙ 04/04/2023

Randomized Adversarial Style Perturbations for Domain Generalization

We propose a novel domain generalization technique, referred to as Rando...

0 Taehoon Kim, et al. ∙

research

∙ 04/04/2023

Cross-Class Feature Augmentation for Class Incremental Learning

We propose a novel class incremental learning approach by incorporating ...

0 Taehoon Kim, et al. ∙

research

∙ 04/04/2023

On the Stability-Plasticity Dilemma of Class-Incremental Learning

A primary goal of class-incremental learning is to strike a balance betw...

0 Dongwan Kim, et al. ∙

research

∙ 04/03/2023

Multi-Modal Representation Learning with Text-Driven Soft Masks

We propose a visual-linguistic representation learning approach within a...

0 Jaeyoo Park, et al. ∙

research

∙ 03/28/2023

Variational Distribution Learning for Unsupervised Text-to-Image Generation

We propose a text-to-image generation algorithm based on deep neural net...

0 Minsoo Kang, et al. ∙

research

∙ 03/28/2023

Information-Theoretic GAN Compression with Variational Energy-based Model

We propose an information-theoretic knowledge distillation approach for ...

0 Minsoo Kang, et al. ∙

research

∙ 01/10/2023

Online Backfilling with No Regret for Large-Scale Image Retrieval

Backfilling is the process of re-extracting all gallery embeddings from ...

7 Seonguk Seo, et al. ∙

research

∙ 08/11/2022

Towards Sequence-Level Training for Visual Tracking

Despite the extensive adoption of machine learning on the task of visual...

2 Minji Kim, et al. ∙

research

∙ 07/14/2022

Multi-Level Branched Regularization for Federated Learning

A critical challenge of federated learning is data heterogeneity and imb...

0 Jinkyu Kim, et al. ∙

research

∙ 05/30/2022

Pooling Revisited: Your Receptive Field is Suboptimal

The size and shape of the receptive field determine how the network aggr...

6 Dong-Hwan Jang, et al. ∙

research

∙ 05/23/2022

Online Hybrid Lightweight Representations Learning: Its Application to Visual Tracking

This paper presents a novel hybrid representation learning framework for...

0 Ilchae Jung, et al. ∙

research

∙ 04/02/2022

Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation

We present a novel class incremental learning approach based on deep neu...

0 Minsoo Kang, et al. ∙

research

∙ 03/25/2022

Class-Incremental Learning for Action Recognition in Videos

We tackle catastrophic forgetting problem in the context of class-increm...

0 Jaeyoo Park, et al. ∙

research

∙ 03/25/2022

Learning to Adapt to Unseen Abnormal Activities under Weak Supervision

We present a meta-learning framework for weakly supervised anomaly detec...

0 Jaeyoo Park, et al. ∙

research

∙ 02/28/2022

Learning Semantic Segmentation from Multiple Datasets with Label Shifts

With increasing applications of semantic segmentation, numerous datasets...

0 Dongwan Kim, et al. ∙

research

∙ 01/10/2022

Communication-Efficient Federated Learning with Acceleration of Global Momentum

Federated learning often suffers from unstable and slow convergence due ...

0 Geeho Kim, et al. ∙

research

∙ 01/10/2022

Information-Theoretic Bias Reduction via Causal View of Spurious Correlation

We propose an information-theoretic bias measurement technique through a...

0 Seonguk Seo, et al. ∙

research

∙ 12/31/2021

InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering

We present an information-theoretic regularization technique for few-sho...

25 Mijeong Kim, et al. ∙

research

∙ 10/31/2021

Learning Debiased and Disentangled Representations for Semantic Segmentation

Deep neural networks are susceptible to learn biased models with entangl...

0 Sanghyeok Chu, et al. ∙

research

∙ 08/21/2021

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform

We propose a versatile deep image compression network based on Spatial F...

1 Myungseo Song, et al. ∙

research

∙ 08/06/2021

Unsupervised Learning of Debiased Representations with Pseudo-Attributes

Dataset bias is a critical challenge in machine learning, and its negati...

0 Seonguk Seo, et al. ∙

research

∙ 07/15/2021

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

We propose a generative adversarial network with multiple discriminators...

15 Jinyoung Choi, et al. ∙

research

∙ 06/29/2021

Open-Set Representation Learning through Combinatorial Embedding

Visual recognition tasks are often limited to dealing with a small subse...

0 Geeho Kim, et al. ∙

research

∙ 05/18/2021

Exemplar-Based Open-Set Panoptic Segmentation Network

We extend panoptic segmentation to the open-world and introduce an open-...

0 Jaedong Hwang, et al. ∙

research

∙ 02/12/2021

Learning Student-Friendly Teacher Networks for Knowledge Distillation

We propose a novel knowledge distillation approach to facilitate the tra...

0 Dae Young Park, et al. ∙

research

∙ 10/07/2020

Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud

We propose a local-to-global representation learning algorithm for 3D po...

0 Seohyun Kim, et al. ∙

research

∙ 07/08/2020

Operation-Aware Soft Channel Pruning using Differentiable Masks

We propose a simple but effective data-driven channel pruning algorithm,...

0 Minsoo Kang, et al. ∙

research

∙ 04/16/2020

Local-Global Video-Text Interactions for Temporal Grounding

This paper addresses the problem of text-to-video temporal grounding, wh...

0 Jonghwan Mun, et al. ∙

research

∙ 01/30/2020

Weakly Supervised Instance Segmentation by Deep Multi-Task Community Learning

We present an object segmentation algorithm based on community learning ...

33 Seohyun Kim, et al. ∙

research

∙ 11/29/2019

Towards Oracle Knowledge Distillation with Neural Architecture Search

We present a novel framework of knowledge distillation that is capable o...

0 Minsoo Kang, et al. ∙

research

∙ 11/25/2019

Real-Time Object Tracking via Meta-Learning: Efficient Model Adaptation and One-Shot Channel Pruning

We propose a novel meta-learning framework for real-time object tracking...

0 Ilchae Jung, et al. ∙

research

∙ 11/21/2019

Reinforcing an Image Caption Generator Using Off-Line Human Feedback

Human ratings are currently the most accurate way to assess the quality ...

0 Paul Hongsuck Seo, et al. ∙

research

∙ 11/18/2019

Fine-Grained Neural Architecture Search

We present an elegant framework of fine-grained neural architecture sear...

0 Heewon Kim, et al. ∙

research

∙ 10/23/2019

Efficient Decoupled Neural Architecture Search by Structure and Operation Sampling

We propose a novel neural architecture search algorithm via reinforcemen...

0 Heung-Chang Lee, et al. ∙

research

∙ 10/03/2019

Regularizing Neural Networks via Stochastic Branch Layers

We introduce a novel stochastic regularization technique for deep neural...

0 Wonpyo Park, et al. ∙

research

∙ 08/08/2019

Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation

Catastrophic forgetting is a critical challenge in training deep neural ...

2 Dongmin Park, et al. ∙

research

∙ 07/09/2019

Learning to Optimize Domain Specific Normalization for Domain Generalization

We propose a simple but effective multi-source domain generalization tec...

0 Seonguk Seo, et al. ∙

research

∙ 04/19/2019

Context-Aware Zero-Shot Recognition

We present a novel problem setting in zero-shot learning, zero-shot obje...

0 Ruotian Luo, et al. ∙

research

∙ 04/08/2019

Streamlined Dense Video Captioning

Dense video captioning is an extremely challenging task since accurate a...

0 Jonghwan Mun, et al. ∙

research

∙ 10/03/2018

Transfer Learning via Unsupervised Task Discovery for Visual Question Answering

We study how to leverage off-the-shelf visual and linguistic data to cop...

0 Hyeonwoo Noh, et al. ∙

research

∙ 09/28/2018

Confidence Calibration in Deep Neural Networks through Stochastic Inferences

We propose a generic framework to calibrate accuracy and confidence (sco...

0 Seonguk Seo, et al. ∙

research

∙ 08/27/2018

Real-Time MDNet

We present a fast and accurate visual tracking algorithm based on the mu...

0 Ilchae Jung, et al. ∙

research

∙ 08/06/2018

CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Maps

Image geolocalization is the task of identifying the location depicted i...

2 Paul Hongsuck Seo, et al. ∙

research

∙ 08/06/2018

Attentive Semantic Alignment with Offset-Aware Correlation Kernels

Semantic correspondence is the problem of establishing correspondences a...

2 Paul Hongsuck Seo, et al. ∙

research

∙ 12/14/2017

Weakly Supervised Action Localization by Sparse Temporal Pooling Network

We propose a weakly supervised temporal action localization algorithm on...

0 Phuc Nguyen, et al. ∙

research

∙ 10/14/2017

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

Overfitting is one of the most critical challenges in deep neural networ...

0 Hyeonwoo Noh, et al. ∙

research

∙ 09/23/2017

Visual Reference Resolution using Attention Memory for Visual Dialog

Visual dialog is a task of answering a series of inter-dependent questio...

0 Paul Hongsuck Seo, et al. ∙

Bohyung Han

Featured Co-authors