Seunghoon Hong

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 70

Top Topics

Matrix Factorization

Weakly Supervised

Image Manipulation

Top Venues

Publications

Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. CoRR (2024)
Donggyun Kim, Seongwoong Cho, Semin Kim, Chong Luo, Seunghoon Hong
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild. CoRR (2024)
Jinwoo Kim, Olga Zaghen, Ayhan Suleymanzade, Youngmin Ryou, Seunghoon Hong
Revisiting Random Walks for Learning on Graphs. CoRR (2024)
Whie Jung, Jaehoon Yoo, Sungjin Ahn, Seunghoon Hong
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality. ICLR (2024)
Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. CoRR (2023)
HyeongJoo Hwang, Seokin Seo, Youngsoo Jang, Sungyoon Kim, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
Information-Theoretic State Space Model for Multi-View Reinforcement Learning. ICML (2023)
Tien Dat Nguyen, Jinwoo Kim, Hongseok Yang, Seunghoon Hong
Learning Symmetrization for Equivariance with Orbit Distance Minimization. CoRR (2023)
Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching. ICLR (2023)
Jaehoon Yoo, Semin Kim, Doyup Lee, Chiheon Kim, Seunghoon Hong
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers. CVPR (2023)
Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance. NeurIPS (2023)
Jinwoo Kim, Tien Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance. CoRR (2023)
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko, Jinwoo Kim, Sehui Han, Seunghoon Hong, Honglak Lee, Moontae Lee
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation. CoRR (2023)
Donggyun Kim, Jinwoo Kim, Seongwoong Cho, Chong Luo, Seunghoon Hong
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching. CoRR (2023)
Yoonki Cho, Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification. CoRR (2022)
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. NeurIPS (2022)
Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. ICASSP (2022)
Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak
Learning to Generate Novel Classes for Deep Metric Learning. CoRR (2022)
Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
Equivariant Hypergraph Neural Networks. ECCV (21) (2022)
Jinwoo Kim, Tien Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Pure Transformers are Powerful Graph Learners. CoRR (2022)
Sungjun Cho, Seonwoo Min, Jinwoo Kim, Moontae Lee, Honglak Lee, Seunghoon Hong
Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost. CoRR (2022)
Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks. ICIP (2022)
Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. CoRR (2022)
Yoonki Cho, Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification. CVPR (2022)
Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon
Diverse Generative Adversarial Perturbations on Attention Space for Transferable Adversarial Attacks. CoRR (2022)
Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong
Multi-Task Processes. ICLR (2022)
Sungwon Park, Sungwon Han, Donghyun Ahn, Jaeyeon Kim, Jeasurk Yang, Susang Lee, Seunghoon Hong, Jihee Kim, Sangyoon Park, Hyunjoo Yang, Meeyoung Cha
Learning Economic Indicators by Aggregating Multi-Level Geospatial Information. AAAI (2022)
Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong
Equivariant Hypergraph Neural Networks. CoRR (2022)
Jinwoo Kim, Dat Nguyen, Seonwoo Min, Sungjun Cho, Moontae Lee, Honglak Lee, Seunghoon Hong
Pure Transformers are Powerful Graph Learners. NeurIPS (2022)
Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs. NeurIPS (2021)
Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. CoRR (2021)
Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok
Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution. CoRR (2021)
Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak
Learning to Generate Novel Classes for Deep Metric Learning. BMVC (2021)
Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Improving Unsupervised Image Clustering With Robust Learning. CVPR (2021)
HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
Multi-View Representation Learning via Total Correlation Objective. NeurIPS (2021)
Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data. CVPR (2021)
Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong
Multi-Task Processes. CoRR (2021)
Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. ICLR (2021)
Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong
SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data. CoRR (2021)
Jinwoo Kim, Saeyoon Oh, Seunghoon Hong
Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs. CoRR (2021)
Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak
Neural Contrast Enhancement of CT Image. WACV (2021)
Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee
High-Fidelity Synthesis with Disentangled Representation. CoRR (2020)
Byung-Jun Lee, Seunghoon Hong, Kee-Eung Kim
Residual Neural Processes. AAAI (2020)
Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee
High-Fidelity Synthesis with Disentangled Representation. ECCV (26) (2020)
Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha
Improving Unsupervised Image Clustering With Robust Learning. CoRR (2020)
HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
Variational Interaction Information Maximization for Cross-domain Disentanglement. CoRR (2020)
HyeongJoo Hwang, Geon-Hyeong Kim, Seunghoon Hong, Kee-Eung Kim
Variational Interaction Information Maximization for Cross-domain Disentanglement. NeurIPS (2020)
Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
Diversity-Sensitive Conditional Generative Adversarial Networks. CoRR (2019)
Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee
Diversity-Sensitive Conditional Generative Adversarial Networks. ICLR (Poster) (2019)
Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee
Adversarial Defense via Learning to Generate Diverse Attacks. ICCV (2019)
Kwang-Pyo Hong, Hyukjae Lee, Seunghoon Hong
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 (2019)
Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis. CVPR (2018)
Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee
Learning Hierarchical Semantic Image Manipulation through Structured Representations. CoRR (2018)
Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee
Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis. CoRR (2018)
Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee
Learning Hierarchical Semantic Image Manipulation through Structured Representations. NeurIPS (2018)
Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee
Decomposing Motion and Content for Natural Video Sequence Prediction. ICLR (Poster) (2017)
Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han
Weakly Supervised Semantic Segmentation Using Web-Crawled Videos. CVPR (2017)
Kayoung Park, Seunghoon Hong, Mooyeol Baek, Bohyung Han
Personalized Image Aesthetic Quality Assessment by Joint Regression and Ranking. WACV (2017)
Ruben Villegas, Jimei Yang, Seunghoon Hong, Xunyu Lin, Honglak Lee
Decomposing Motion and Content for Natural Video Sequence Prediction. CoRR (2017)
Suha Kwak, Seunghoon Hong, Bohyung Han
Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network. AAAI (2017)
Seunghoon Hong, Suha Kwak, Bohyung Han
Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision. IEEE Signal Process. Mag. 34 (6) (2017)
Seunghoon Hong, Donghun Yeo, Suha Kwak, Honglak Lee, Bohyung Han
Weakly Supervised Semantic Segmentation using Web-Crawled Videos. CoRR (2017)
Seunghoon Hong, Jonghyun Choi, Jan Feyereisl, Bohyung Han, Larry S. Davis
Joint Image Clustering and Labeling by Matrix Factorization. IEEE Trans. Pattern Anal. Mach. Intell. 38 (7) (2016)
Seunghoon Hong, Junhyuk Oh, Honglak Lee, Bohyung Han
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network. CVPR (2016)
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. NIPS (2015)
Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. CoRR (2015)
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
Learning Deconvolution Network for Semantic Segmentation. CoRR (2015)
Hyeonwoo Noh, Seunghoon Hong, Bohyung Han
Learning Deconvolution Network for Semantic Segmentation. ICCV (2015)
Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han
Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network. ICML (2015)
Seunghoon Hong, Junhyuk Oh, Bohyung Han, Honglak Lee
Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network. CoRR (2015)
Seunghoon Hong, Hyeonwoo Noh, Bohyung Han
Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation. CoRR (2015)
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, Jin-Woo 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
The Visual Object Tracking VOT2014 Challenge Results. ECCV Workshops (2) (2014)
Seunghoon Hong, Bohyung Han
Visual Tracking by Sampling Tree-Structured Graphical Models. ECCV (1) (2014)
Hyeonseob Nam, Seunghoon Hong, Bohyung Han
Online Graph-Based Tracking. ECCV (5) (2014)
Taegyu Lim, Seunghoon Hong, Bohyung Han, Joon Hee Han
Joint Segmentation and Pose Tracking of Human in Natural Videos. ICCV (2013)
Seunghoon Hong, Suha Kwak, Bohyung Han
Orderless Tracking through Model-Averaged Posterior Estimation. ICCV (2013)