Hong, Seunghoon

51 publications

AAAI 2025 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

NeurIPS 2025 Bridging the Gap to Real-World Language-Grounded Visual Concept Learning Whie Jung, Semin Kim, Junee Kim, Seunghoon Hong

NeurIPS 2025 Disentangled Representation Learning via Modular Compositional Bias Whie Jung, Dong Hoon Lee, Seunghoon Hong

WACV 2025 Feature Augmentation Based Test-Time Adaptation Younggeol Cho, Youngrae Kim, Junho Yoon, Seunghoon Hong, Dongman Lee

NeurIPS 2025 ReDi: Rectified Discrete Flow Jaehoon Yoo, Wonjung Kim, Seunghoon Hong

ICLR 2025 Revisiting Random Walks for Learning on Graphs Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong

NeurIPS 2025 Sequence Modeling with Spectral Mean Flows Jinwoo Kim, Max Beier, Petar Bevanda, Nayun Kim, Seunghoon Hong

NeurIPS 2025 Universal Few-Shot Spatial Control for Diffusion Models Kiet T Nguyen, Chanhyuk Lee, Donggyun Kim, Dong Hoon Lee, Seunghoon Hong

ECCV 2024 Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild Donggyun Kim, Seongwoong Cho, Semin Kim, Chong Luo, Seunghoon Hong

ICLR 2024 Learning to Compose: Improving Object Centric Learning by Injecting Compositionality Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong

NeurIPS 2024 Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers Dong Hoon Lee, Seunghoon Hong

NeurIPS 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control Seongwoong Cho, Donggyun Kim, Jinwoo Lee, Seunghoon Hong

ECCV 2024 MetaWeather: Few-Shot Weather-Degraded Image Restoration Youngrae Kim, Younggeol Cho, Thanh-Tung Nguyen, Seunghoon Hong, Dongman Lee

ICMLW 2024 Revisiting Random Walks for Learning on Graphs Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong

NeurIPS 2024 Simulation-Free Training of Neural ODEs on Paired Data Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong

ICML 2023 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

NeurIPS 2023 Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong

NeurIPSW 2023 Learning Symmetrization for Equivariance with Orbit Distance Minimization Dat Tien Nguyen, Jinwoo Kim, Hongseok Yang, Seunghoon Hong

CVPR 2023 Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong

ICLR 2023 Universal Few-Shot Learning of Dense Prediction Tasks with Visual Token Matching Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong

ECCV 2022 Equivariant Hypergraph Neural Networks Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong

AAAI 2022 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

ICLRW 2022 MetaDTA: Meta-Learning-Based Drug-Target Binding Affinity Prediction Eunjoo Lee, Jiho Yoo, Huisun Lee, Seunghoon Hong

ICLR 2022 Multi-Task Processes Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong

CVPR 2022 Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification Yoonki Cho, Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon

NeurIPS 2022 Pure Transformers Are Powerful Graph Learners Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong

NeurIPS 2022 Transformers Meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong

CVPR 2021 Improving Unsupervised Image Clustering with Robust Learning Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha

NeurIPS 2021 Multi-View Representation Learning via Total Correlation Objective HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim

WACV 2021 Neural Contrast Enhancement of CT Image Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak

ICLR 2021 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

CVPR 2021 SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong

NeurIPS 2021 Transformers Generalize DeepSets and Can Be Extended to Graphs & Hypergraphs Jinwoo Kim, Saeyoon Oh, Seunghoon Hong

ECCV 2020 High-Fidelity Synthesis with Disentangled Representation Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee

AAAI 2020 Residual Neural Processes Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim

NeurIPS 2020 Variational Interaction Information Maximization for Cross-Domain Disentanglement HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim

ICLR 2019 Diversity-Sensitive Conditional Generative Adversarial Networks Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee

NeurIPS 2018 Learning Hierarchical Semantic Image Manipulation Through Structured Representations Seunghoon Hong, Xinchen Yan, Thomas S. Huang, Honglak Lee

ICLR 2017 Decomposing Motion and Content for Natural Video Sequence Prediction Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee

WACV 2017 Personalized Image Aesthetic Quality Assessment by Joint Regression and Ranking Kayoung Park, Seunghoon Hong, Mooyeol Baek, Bohyung Han

AAAI 2017 Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network Suha Kwak, Seunghoon Hong, Bohyung Han

CVPR 2017 Weakly Supervised Semantic Segmentation Using Web-Crawled Videos Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han

CVPR 2016 Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network Seunghoon Hong, Junhyuk Oh, Honglak Lee, Bohyung Han

NeurIPS 2015 Decoupled Deep Neural Network for Semi-Supervised Semantic Segmentation Seunghoon Hong, Hyeonwoo Noh, Bohyung Han

ICCV 2015 Learning Deconvolution Network for Semantic Segmentation Hyeonwoo Noh, Seunghoon Hong, Bohyung Han

ICML 2015 Online Tracking by Learning Discriminative Saliency mAP with Convolutional Neural Network Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han

ECCV 2014 Online Graph-Based Tracking Hyeonseob Nam, Seunghoon Hong, Bohyung Han

ECCVW 2014 The Visual Object Tracking VOT2014 Challenge Results Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

ECCV 2014 Visual Tracking by Sampling Tree-Structured Graphical Models Seunghoon Hong, Bohyung Han

ICCV 2013 Joint Segmentation and Pose Tracking of Human in Natural Videos Taegyu Lim, Seunghoon Hong, Bohyung Han, Joon Hee Han

ICCV 2013 Orderless Tracking Through Model-Averaged Posterior Estimation Seunghoon Hong, Suha Kwak, Bohyung Han