Seunghoon Hong

101 papers A* 32A 4B 1Misc 1Journal 51Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Inverting Data Transformations via Diffusion Sampling. CoRR Jinwoo Kim, Sékou-Oumar Kaba, Jiyun Park, Seunghoon Hong, Siamak Ravanbakhsh
2026	J	`jnl`	One-step Language Modeling via Continuous Denoising. CoRR Chanhyuk Lee, Jaehoon Yoo, Manan Agarwal, Sheel Shah, Jerry Huang, Aditi Raghunathan, Seunghoon Hong, Nicholas M. Boffi, Jinwoo Kim
2025	A*	`conf`	3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. AAAI Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
2025	J	`jnl`	AdaRank: Adaptive Rank Pruning for Enhanced Model Merging. CoRR Chanhyuk Lee, Jiho Choi, Chanryeol Lee, Donggyun Kim, Seunghoon Hong
2025	J	`jnl`	Bridging the gap to real-world language-grounded visual concept learning. CoRR Whie Jung, Semin Kim, Junee Kim, Seunghoon Hong
2025	J	`jnl`	Disentangled Representation Learning via Modular Compositional Bias. CoRR Whie Jung, Dong Hoon Lee, Seunghoon Hong
2025	A	`conf`	Feature Augmentation Based Test-Time Adaptation. WACV Younggeol Cho, Youngrae Kim, Junho Yoon, Seunghoon Hong, Dongman Lee
2025	J	`jnl`	Flock: A Knowledge Graph Foundation Model via Learning on Random Walks. CoRR Jinwoo Kim, Xingyue Huang, Krzysztof Olejniczak, Kyungbin Min, Michael M. Bronstein, Seunghoon Hong, Ismail Ilkan Ceylan
2025	J	`jnl`	FlowBind: Efficient Any-to-Any Generation with Bidirectional Flows. CoRR Yeonwoo Cha, Semin Kim, Jinhyeon Kwon, Seunghoon Hong
2025	J	`jnl`	HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning. CoRR Donggyun Kim, Chanwoo Kim, Seunghoon Hong
2025	J	`jnl`	ReDi: Rectified Discrete Flow. CoRR Jaehoon Yoo, Wonjung Kim, Seunghoon Hong
2025	A*	`conf`	Revisiting Random Walks for Learning on Graphs. ICLR Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong
2025	J	`jnl`	Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models. CoRR Semin Kim, Yeonwoo Cha, Jaehoon Yoo, Seunghoon Hong
2025	J	`jnl`	Sequence Modeling with Spectral Mean Flows. CoRR Jinwoo Kim, Max Beier, Petar Bevanda, Nayun Kim, Seunghoon Hong
2025	J	`jnl`	Universal Few-Shot Spatial Control for Diffusion Models. CoRR Kiet T. Nguyen, Chanhuyk Lee, Donggyun Kim, Dong Hoon Lee, Seunghoon Hong
2024	—	`conf`	Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild. ECCV (23) Donggyun Kim, Seongwoong Cho, Semin Kim, Chong Luo, Seunghoon Hong
2024	J	`jnl`	Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild. CoRR Donggyun Kim, Seongwoong Cho, Semin Kim, Chong Luo, Seunghoon Hong
2024	J	`jnl`	Feature Augmentation based Test-Time Adaptation. CoRR Younggeol Cho, Youngrae Kim, Junho Yoon, Seunghoon Hong, Dongman Lee
2024	A*	`conf`	Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. ICLR Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
2024	J	`jnl`	Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. CoRR Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
2024	A*	`conf`	Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers. NeurIPS Dong Hoon Lee, Seunghoon Hong
2024	J	`jnl`	Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers. CoRR Dong Hoon Lee, Seunghoon Hong
2024	A*	`conf`	Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control. NeurIPS Seongwoong Cho, Donggyun Kim, Jinwoo Lee, Seunghoon Hong
2024	J	`jnl`	Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control. CoRR Seongwoong Cho, Donggyun Kim, Jinwoo Lee, Seunghoon Hong
2024	—	`conf`	MetaWeather: Few-Shot Weather-Degraded Image Restoration. ECCV (73) Youngrae Kim, Younggeol Cho, Thanh-Tung Nguyen, Seunghoon Hong, Dongman Lee
2024	J	`jnl`	Revisiting Random Walks for Learning on Graphs. CoRR Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong
2024	J	`jnl`	Revisiting Weight Averaging for Model Merging. CoRR Jiho Choi, Donggyun Kim, Chanhyuk Lee, Seunghoon Hong
2024	A*	`conf`	Simulation-Free Training of Neural ODEs on Paired Data. NeurIPS Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong
2024	J	`jnl`	Simulation-Free Training of Neural ODEs on Paired Data. CoRR Semin Kim, Jaehoon Yoo, Jinwoo Kim, Yeonwoo Cha, Saehoon Kim, Seunghoon Hong
2023	J	`jnl`	3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. CoRR Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
2023	A*	`conf`	Information-Theoretic State Space Model for Multi-View Reinforcement Learning. ICML HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
2023	A*	`conf`	Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance. NeurIPS Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
2023	J	`jnl`	Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance. CoRR Jinwoo Kim, Tien Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
2023	J	`jnl`	Learning Symmetrization for Equivariance with Orbit Distance Minimization. CoRR Tien Dat Nguyen, Jinwoo Kim, Hongseok Yang, Seunghoon Hong
2023	A*	`conf`	Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. CVPR Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong
2023	J	`jnl`	Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. CoRR Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong
2023	A*	`conf`	Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching. ICLR Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong
2023	J	`jnl`	Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching. CoRR Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong
2022	J	`jnl`	Diverse Generative Adversarial Perturbations on Attention Space for Transferable Adversarial Attacks. CoRR Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
2022	B	`conf`	Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks. ICIP Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
2022	—	`conf`	Equivariant Hypergraph Neural Networks. ECCV (21) Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
2022	J	`jnl`	Equivariant Hypergraph Neural Networks. CoRR Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
2022	Misc	`conf`	Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. ICASSP Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok
2022	A*	`conf`	Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. AAAI Sungwon Park, Sungwon Han, DongHyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
2022	J	`jnl`	Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. CoRR Sungwon Park, Sungwon Han, DongHyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
2022	J	`jnl`	Learning to Generate Novel Classes for Deep Metric Learning. CoRR Kyungmoon Lee, SungYeon Kim, Seunghoon Hong, Suha Kwak
2022	A*	`conf`	Multi-Task Processes. ICLR Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong
2022	A*	`conf`	Part-based Pseudo Label Refinement for Unsupervised Person Re-identification. CVPR Yoonki Cho, Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
2022	J	`jnl`	Part-based Pseudo Label Refinement for Unsupervised Person Re-identification. CoRR Yoonki Cho, Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
2022	A*	`conf`	Pure Transformers are Powerful Graph Learners. NeurIPS Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	J	`jnl`	Pure Transformers are Powerful Graph Learners. CoRR Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	A*	`conf`	Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
2022	J	`jnl`	Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. CoRR Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
2021	A*	`conf`	Improving Unsupervised Image Clustering With Robust Learning. CVPR Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
2021	J	`jnl`	Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. CoRR Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok
2021	A	`conf`	Learning to Generate Novel Classes for Deep Metric Learning. BMVC Kyungmoon Lee, SungYeon Kim, Seunghoon Hong, Suha Kwak
2021	J	`jnl`	Multi-Task Processes. CoRR Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong
2021	A*	`conf`	Multi-View Representation Learning via Total Correlation Objective. NeurIPS HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
2021	A	`conf`	Neural Contrast Enhancement of CT Image. WACV Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak
2021	A*	`conf`	Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. ICLR Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
2021	J	`jnl`	Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. CoRR Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
2021	A*	`conf`	SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data. CVPR Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong
2021	J	`jnl`	SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data. CoRR Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong
2021	A*	`conf`	Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs. NeurIPS Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
2021	J	`jnl`	Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs. CoRR Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
2020	—	`conf`	High-Fidelity Synthesis with Disentangled Representation. ECCV (26) Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee
2020	J	`jnl`	High-Fidelity Synthesis with Disentangled Representation. CoRR Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee
2020	J	`jnl`	Improving Unsupervised Image Clustering With Robust Learning. CoRR Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
2020	A*	`conf`	Residual Neural Processes. AAAI Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim
2020	A*	`conf`	Variational Interaction Information Maximization for Cross-domain Disentanglement. NeurIPS HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
2020	J	`jnl`	Variational Interaction Information Maximization for Cross-domain Disentanglement. CoRR HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
2019	—	`conf`	A Study on the Physiological and Psychological Stress Relief Effects of Vertical Gardens on Human Body: 3 Different Construction Methods of Vertical Gardens. CISP-BMEI Kwang-Pyo Hong, Hyukjae Lee, Seunghoon Hong
2019	A*	`conf`	Adversarial Defense via Learning to Generate Diverse Attacks. ICCV Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee
2019	—	`conf`	Diversity-Sensitive Conditional Generative Adversarial Networks. ICLR (Poster) Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
2019	J	`jnl`	Diversity-Sensitive Conditional Generative Adversarial Networks. CoRR Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
2019	—	`ch.`	Interpretable Text-to-Image Synthesis with Hierarchical Semantic Layout Generation. Explainable AI Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee
2018	A*	`conf`	Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis. CVPR Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee
2018	J	`jnl`	Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis. CoRR Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee
2018	A*	`conf`	Learning Hierarchical Semantic Image Manipulation through Structured Representations. NeurIPS Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee
2018	J	`jnl`	Learning Hierarchical Semantic Image Manipulation through Structured Representations. CoRR Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee
2017	—	`conf`	Decomposing Motion and Content for Natural Video Sequence Prediction. ICLR (Poster) Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee
2017	J	`jnl`	Decomposing Motion and Content for Natural Video Sequence Prediction. CoRR Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee
2017	A	`conf`	Personalized Image Aesthetic Quality Assessment by Joint Regression and Ranking. WACV Kayoung Park, Seunghoon Hong, Mooyeol Baek, Bohyung Han
2017	J	`jnl`	Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision. IEEE Signal Process. Mag. Seunghoon Hong, Suha Kwak, Bohyung Han
2017	A*	`conf`	Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. AAAI Suha Kwak, Seunghoon Hong, Bohyung Han
2017	A*	`conf`	Weakly Supervised Semantic Segmentation Using Web-Crawled Videos. CVPR Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han
2017	J	`jnl`	Weakly Supervised Semantic Segmentation using Web-Crawled Videos. CoRR Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han
2016	J	`jnl`	Joint Image Clustering and Labeling by Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis
2016	A*	`conf`	Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network. CVPR Seunghoon Hong, Junhyuk Oh, Honglak Lee, Bohyung Han
2015	—	`conf`	Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. NIPS Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
2015	J	`jnl`	Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. CoRR Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
2015	A*	`conf`	Learning Deconvolution Network for Semantic Segmentation. ICCV Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
2015	J	`jnl`	Learning Deconvolution Network for Semantic Segmentation. CoRR Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
2015	J	`jnl`	Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network. CoRR Seunghoon Hong, Junhyuk Oh, Bohyung Han, Honglak Lee
2015	A*	`conf`	Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. ICML Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han
2015	J	`jnl`	Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. CoRR Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han
2014	—	`conf`	Online Graph-Based Tracking. ECCV (5) Hyeonseob Nam, Seunghoon Hong, Bohyung Han
2014	—	`conf`	The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) 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
2014	—	`conf`	Visual Tracking by Sampling Tree-Structured Graphical Models. ECCV (1) Seunghoon Hong, Bohyung Han
2013	A*	`conf`	Joint Segmentation and Pose Tracking of Human in Natural Videos. ICCV Taegyu Lim, Seunghoon Hong, Bohyung Han, Joon Hee Han
2013	A*	`conf`	Orderless Tracking through Model-Averaged Posterior Estimation. ICCV Seunghoon Hong, Suha Kwak, Bohyung Han