Seunghoon Hong

According to our database, Seunghoon Hong authored at least 49 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Learning Symmetrization for Equivariance with Orbit Distance Minimization.

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

CoRR, 2023

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

CoRR, 2023

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance.

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

CoRR, 2023

Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance.

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 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

Proceedings of the International Conference on Machine Learning, 2023

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

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

Proceedings of the Eleventh International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Diverse Generative Adversarial Perturbations on Attention Space for Transferable Adversarial Attacks.

Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon

CoRR, 2022

Pure Transformers are Powerful Graph Learners.

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

CoRR, 2022

Pure Transformers are Powerful Graph Learners.

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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-Task Processes.

Donggyun Kim, Seongwoong Cho, Wonkwang Lee, Seunghoon Hong

Proceedings of the Tenth International Conference on Learning Representations, 2022

Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks.

Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution.

Jaechang Kim, Yunjoo Lee, Seunghoon Hong, Jungseul Ok

Proceedings of the IEEE International Conference on Acoustics, 2022

Equivariant Hypergraph Neural Networks.

Jinwoo Kim, Saeyoon Oh, Sungjun Cho, Seunghoon Hong

Proceedings of the Computer Vision - ECCV 2022, 2022

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs.

Jinwoo Kim, Saeyoon Oh, Seunghoon Hong

CoRR, 2021

Neural Contrast Enhancement of CT Image.

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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs.

Jinwoo Kim, Saeyoon Oh, Seunghoon Hong

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multi-View Representation Learning via Total Correlation Objective.

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

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction.

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

Proceedings of the 9th International Conference on Learning Representations, 2021

Improving Unsupervised Image Clustering With Robust Learning.

Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

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

Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning to Generate Novel Classes for Deep Metric Learning.

Kyungmoon Lee, Sungyeon Kim, Seunghoon Hong, Suha Kwak

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Variational Interaction Information Maximization for Cross-domain Disentanglement.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

High-Fidelity Synthesis with Disentangled Representation.

Wonkwang Lee, Donggyun Kim, Seunghoon Hong, Honglak Lee

Proceedings of the Computer Vision - ECCV 2020, 2020

Residual Neural Processes.

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

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

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

Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee

Proceedings of the Explainable AI: Interpreting, 2019

Diversity-Sensitive Conditional Generative Adversarial Networks.

Dingdong Yang, Seunghoon Hong, Yunseok Jang, Tianchen Zhao, Honglak Lee

Proceedings of the 7th International Conference on Learning Representations, 2019

Adversarial Defense via Learning to Generate Diverse Attacks.

Yunseok Jang, Tianchen Zhao, Seunghoon Hong, Honglak Lee

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Study on the Physiological and Psychological Stress Relief Effects of Vertical Gardens on Human Body: 3 Different Construction Methods of Vertical Gardens.

Kwang-Pyo Hong, Hyukjae Lee, Seunghoon Hong

Proceedings of the 12th International Congress on Image and Signal Processing, 2019

2018

Learning Hierarchical Semantic Image Manipulation through Structured Representations.

Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis.

Seunghoon Hong, Dingdong Yang, Jongwook Choi, Honglak Lee

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Weakly Supervised Learning with Deep Convolutional Neural Networks for Semantic Segmentation: Understanding Semantic Layout of Images with Minimum Human Supervision.

Seunghoon Hong, Suha Kwak, Bohyung Han

IEEE Signal Process. Mag., 2017

Personalized Image Aesthetic Quality Assessment by Joint Regression and Ranking.

Kayoung Park, Seunghoon Hong, Mooyeol Baek, Bohyung Han

Proceedings of the 2017 IEEE Winter Conference on Applications of Computer Vision, 2017

Decomposing Motion and Content for Natural Video Sequence Prediction.

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

Proceedings of the 5th International Conference on Learning Representations, 2017

Weakly Supervised Semantic Segmentation Using Web-Crawled Videos.

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

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Weakly Supervised Semantic Segmentation Using Superpixel Pooling Network.

Suha Kwak, Seunghoon Hong, Bohyung Han

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Joint Image Clustering and Labeling by Matrix Factorization.

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

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning Transferrable Knowledge for Semantic Segmentation with Deep Convolutional Neural Network.

Seunghoon Hong, Junhyuk Oh, Honglak Lee, Bohyung Han

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015

Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation.

Seunghoon Hong, Hyeonwoo Noh, Bohyung Han

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network.

Seunghoon Hong, Tackgeun You, Suha Kwak, Bohyung Han

Proceedings of the 32nd International Conference on Machine Learning, 2015

Learning Deconvolution Network for Semantic Segmentation.

Hyeonwoo Noh, Seunghoon Hong, Bohyung Han

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

Online Graph-Based Tracking.

Hyeonseob Nam, Seunghoon Hong, Bohyung Han

Proceedings of the Computer Vision - ECCV 2014, 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

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Visual Tracking by Sampling Tree-Structured Graphical Models.

Seunghoon Hong, Bohyung Han

Proceedings of the Computer Vision - ECCV 2014, 2014

2013

Joint Segmentation and Pose Tracking of Human in Natural Videos.

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

Proceedings of the IEEE International Conference on Computer Vision, 2013

Orderless Tracking through Model-Averaged Posterior Estimation.

Seunghoon Hong, Suha Kwak, Bohyung Han

Proceedings of the IEEE International Conference on Computer Vision, 2013