Universal Few-shot Spatial Control for Diffusion Models

Kiet T Nguyen, Chanhyuk Lee, Donggyun Kim, Dong Hoon Lee, Seunghoon Hong

NeurIPS 2025

[ Comming soon ]

ReDi: Rectified Discrete Flow

Jaehoon Yoo, Wonjung Kim, Seunghoon Hong

NeurIPS 2025

[ Comming soon ]

Sequence Modeling with Spectral Mean Flows

Jinwoo Kim, Max Beier, Petar Bevanda, Nayun Kim, Seunghoon Hong

NeurIPS 2025

[ Comming soon ]

Disentangled Representation Learning via Modular Compositional Bias

Whie Jung, Dong Hoon Lee, Seunghoon Hong

NeurIPS 2025

[ Comming soon ]

Briding the gap to real-world language-grounded visual concept learning

Whie Jung, Semin Kim, Junee Kim, Seunghoon Hong

NeurIPS 2025

[ Comming soon ]

Revisiting Random Walks for Learning on Graphs

Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong

ICLR 2025 (also in GRaM Workshop @ ICML 2024) Spotlight presentation

[ arXiv / Code ]

3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation

Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee

AAAI 2025 Oral presentation

[ arXiv ]

Feature Augmentation based Test-Time Adaptation

Younggeol Cho, Youngrae Kim, Junho Yoon, Seunghoon Hong, Dongman Lee

WACV 2025

[ arXiv ]

Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control

Seongwoong Cho*, Donggyun Kim*, Jinwoo Lee, Seunghoon Hong

NeurIPS 2024

[ arXiv / Code ]

Simulation-Free Training of Neural ODEs on Paired Data

Semin Kim*, Jaehoon Yoo*, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong

NeurIPS 2024

[ arXiv / Code ]

Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers

Dong Hoon Lee, Seunghoon Hong

NeurIPS 2024

[ arXiv / Code ]

Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild

Donggyun Kim, Seongwoong Cho, Semin Kim, Chong Luo, Seunghoon Hong

ECCV 2024 Oral presentation

[ arXiv / Code ]

MetaWeather: Few-Shot Weather-Degraded Image Restoration

Youngrae Kim, Younggeol Cho, Thanh-Tung Nguyen, Seunghoon Hong, Dongman Lee

ECCV 2024

[ arXiv ]

Learning to Compose: Improving Object Centric Learning by Injecting Compositionality

Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong

ICLR 2024

[ Paper ]

Learning Symmetrization for Equivariance with Orbit Distance Minimization

Dat Tien Nguyen*, Jinwoo Kim*, Hongseok Yang, Seunghoon Hong

NeurIPS 2023 Workshop on Symmetry and Geometry in Neural Representations

[ arXiv / Code ]

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance

Jinwoo Kim, Dat Tien Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong

NeurIPS 2023 Spotlight presentation

[ arXiv / Code ]

Information-Theoretic State Space Model for Multi-View Reinforcement Learning

HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim

ICML 2023 Oral presentation

[ Paper ]

Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers

Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong

CVPR 2023

[ arXiv / Project / Code ]

Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong

ICLR 2023 Outstanding Paper Award 🏆

[ Paper / Code ]

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost

Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong

NeurIPS 2022

[ arXiv / Code ]

Pure Transformers are Powerful Graph Learners

Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho,
Moontae Lee, Honglak Lee, Seunghoon Hong

NeurIPS 2022

[ arXiv / Code ]

Equivariant Hypergraph Neural Networks

Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong

ECCV 2022

[ arXiv / Code ]

Diverse Generative Perturbations On Attention Space For Transferable Adversarial Attacks

Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon

ICIP 2022 Oral presentation

[ arXiv / Code ]

MetaDTA: Meta-learning-based Drug-Target Binding Affinity Prediction

Eunjoo Lee, Jiho Yoo, Huisun Lee, Seunghoon Hong

MLDD workshop @ ICLR 2022

[ Paper ]

Part-based Pseudo Label Refinement for Unsupervised Person Re-identification

Yoonki Cho, Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon

CVPR 2022

[ arXiv / Code ]

Multi-Task Neural Processes

Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong

ICLR 2022

[ Paper / Code ]

Learning Continuous Representation of Audio for Arbitrary Scale Super-Resolution

Jaechang Kim, Yunjoo Lee, Seunghoon Hong, and Jungseul Ok

ICASSP 2022

[ arXiv / Code ]

Learning Economic Indicators by Aggregating Multi-level Geospatial Information

Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang,
Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha

AAAI 2022

[ arXiv / Code ]

Learning to Generate Novel Classes for Deep Metric Learning

Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak

BMVC 2021

[ Paper ]

Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs

Jinwoo Kim, Saeyoon Oh, Seunghoon Hong

NeurIPS 2021

[ arXiv / Code ]

Multi-View Representation Learning via Total Correlation Objective

HyeongJoo Hwang, Geon-hyeong Kim, Seunghoon Hong, Kee-Eung Kim

NeurIPS 2021

[ Paper / Code ]

SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data

Jinwoo Kim*, Jaehoon Yoo*, Juho Lee, Seunghoon Hong

CVPR 2021

[ arXiv / Code ]

Improving Unsupervised Image Clustering With Robust Learning

Sungwon Park, Sungwon Han, Sungdong Kim, Danu Kim, Sangkyu Park,
Seunghoon Hong, Meeyoung Cha

CVPR 2021

[ arXiv / Code ]

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction

Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas Huang,
Hyungsuk Yoon, Honglak Lee, Seunghoon Hong

ICLR 2021

[ Paper / Project / Code ]

Neural Contrast Enhancement of CT Image

Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong,
Jae Seok Bae, Jung Hoon Kim, Suha Kwak

WACV 2021

[ Paper ]

Variational Interaction Information Maximization for Cross-domain Disentanglement

HyeongJoo Hwang, Geon-hyeong Kim, Seunghoon Hong, Kee-Eung Kim

NeurIPS 2020

[ Paper / Code ]

High-Fidelity Synthesis with Disentangled Representation

Wonkwang Lee, Donggyun Kim, Seunghoon Hong*, Honglak Lee

ECCV 2020

[ arXiv / Code ]

Residual Neural Processes

Byung-Jun Lee, Seunghoon Hong, and Kee-Eung Kim

AAAI 2020

[ Paper ]

Adversarial Defense via Learning to Generate Diverse Attacks.

Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee

ICCV 2019

[ Paper / Code ]

Interpretable Text-to-Image Synthesis with Hierarchical Semantic Layout Generation.

Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee

Bookchapter of "Explainable AI; Interpreting, Explaining and Visualizing Deep Learning" 2019

[ Paper ]

Diversity-Sensitive Conditional Generative Adversarial Networks

Dingdong Yang*, Seunghoon Hong*, Yunseok Jang, Tiangchen Zhao, Honglak Lee

ICLR 2019

[ arXiv / Code / Project ]

Learning Hierarchical Semantic Image Manipulation
through Structured Representations

Seunghoon Hong, Xinchen Yan, Thomas Huang, Honglak Lee

NeurIPS 2018

[ arXiv / Code ]

Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis

Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee

CVPR 2018

[ arXiv ]

Weakly Supervised Learning with Deep Convolutional Neural Networks
for Semantic Segmentation

Seunghoon Hong, Suha Kwak, Bohyung Han

Signal Processing Magazine 2017

[ Paper ]

Weakly Supervised Semantic Segmentation using Web-Crawled Videos

Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han

CVPR 2017 Spotlight presentation

[ arXiv ]

Decomposing Motion and Content for Natural Video Sequence Prediction

Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee

ICLR 2017

[ arXiv / Code / Project ]

Personalized Image Aesthetic Quality Assessment
by Joint Regression and Ranking

Kayoung Park, Seunghoon Hong, Mooyeol Baek, Bohyung Han

WACV 2017

[ Paper ]

Weakly Supervised Semantic Segmentation
using Superpixel Pooling Network

Suha Kwak, Seunghoon Hong, Bohyung Han

AAAI 2017

[ Paper ]

Learning Transferrable Knowledge for Semantic Segmentation
with Deep Convolutional Neural Network

Seunghoon Hong, Junhyuk Oh, Bohyung Han, Honglak Lee

CVPR 2016 Spotlight presentation

[ arXiv / Code / Project ]

Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation

Seunghoon Hong*, Hyeonwoo Noh*, Bohyung Han

NIPS 2015 Spotlight presentation

[ arXiv / Code / Project ]

Learning Deconvolution Network for Semantic Segmentation

Hyeonwoo Noh, Seunghoon Hong, Bohyung Han

ICCV 2015

[ arXiv / Code / Project ]

Joint Image Clustering and Labeling by Matrix Factorization

Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis

TPAMI 2015

[ Paper ]

Online Tracking by Learning Discriminative Saliency Map
with Convolutional Neural Network

Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han

ICML 2015

[ arXiv ]

Visual Tracking by Sampling Tree-Structured Graphical Models

Seunghoon Hong, Bohyung Han

ECCV 2014 Oral presentation

[ Paper / Project ]

Online Graph-Based Tracking

Hyeonseob Nam, Seunghoon Hong, Bohyung Han

ECCV 2014

[ Paper / Project ]

Orderless Tracking through Model-Averaged Posterior Estimation

Seunghoon Hong, Suha Kwak, Bohyung Han

ICCV 2013 Oral presentation

[ Paper / Project ]

Joint Segmentation and Pose Tracking of Human in Natural Videos

Taegyu Lim, Seunghoon Hong, Bohyung Han, Joon Hee Han

ICCV 2013

[ Paper ]