Seunghoon Hong
KAIST
H-index: 25
Asia-South Korea
Top articles of Seunghoon Hong
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
Learning to Compose: Improving Object Centric Learning by Injecting Compositionality | Whie Jung Jaehoon Yoo Sungjin Ahn Seunghoon Hong | 2024 | |
Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild | arXiv preprint arXiv:2404.18459 | Donggyun Kim Seongwoong Cho Semin Kim Chong Luo Seunghoon Hong | 2024/4/29 |
Learning probabilistic symmetrization for architecture agnostic equivariance | Advances in Neural Information Processing Systems | Jinwoo Kim Dat Nguyen Ayhan Suleymanzade Hyeokjun An Seunghoon Hong | 2024/2/13 |
Learning Symmetrization for Equivariance with Orbit Distance Minimization | arXiv preprint arXiv:2311.07143 | Tien Dat Nguyen Jinwoo Kim Hongseok Yang Seunghoon Hong | 2023/11/13 |
3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation | arXiv preprint arXiv:2309.04062 | Sungjun Cho Dae-Woong Jeong Sung Moon Ko Jinwoo Kim Sehui Han | 2023/9/8 |
Information-theoretic state space model for multi-view reinforcement learning | HyeongJoo Hwang Seokin Seo Youngsoo Jang Sungyoon Kim Geon-Hyeong Kim | 2023/6/15 | |
Universal few-shot learning of dense prediction tasks with visual token matching | arXiv preprint arXiv:2303.14969 | Donggyun Kim Jinwoo Kim Seongwoong Cho Chong Luo Seunghoon Hong | 2023/3/27 |
Towards End-to-End Generative Modeling of Long Videos with Memory-Efficient Bidirectional Transformers | Jaehoon Yoo Semin Kim Doyup Lee Chiheon Kim Seunghoon Hong | 2023 | |
Transformers meet stochastic block models: attention with data-adaptive sparsity and cost | Advances in Neural Information Processing Systems | Sungjun Cho Seonwoo Min Jinwoo Kim Moontae Lee Honglak Lee | 2022/12/6 |
Learning continuous representation of audio for arbitrary scale super resolution | Jaechang Kim Yunjoo Lee Seunghoon Hong Jungseul Ok | 2022/5/23 | |
MetaDTA: meta-learning-based drug-target binding affinity prediction | Eunjoo Lee Jiho Yoo Huisun Lee Seunghoon Hong | 2022/4/5 | |
Pure transformers are powerful graph learners | Advances in Neural Information Processing Systems | Jinwoo Kim Dat Nguyen Seonwoo Min Sungjun Cho Moontae Lee | 2022/12/6 |
Learning to generate novel classes for deep metric learning | arXiv preprint arXiv:2201.01008 | Kyungmoon Lee Sungyeon Kim Seunghoon Hong Suha Kwak | 2022/1/4 |
Equivariant hypergraph neural networks | Jinwoo Kim Saeyoon Oh Sungjun Cho Seunghoon Hong | 2022/10/23 | |
Diverse generative perturbations on attention space for transferable adversarial attacks | Woo Jae Kim Seunghoon Hong Sung-Eui Yoon | 2022/10/16 | |
Diverse Generative Adversarial Perturbations on Attention Space for Transferable Adversarial Attacks | Woo Jae Kim Seunghoon Hong Sung-eui Yoon | 2022 | |
Part-based pseudo label refinement for unsupervised person re-identification | Yoonki Cho Woo Jae Kim Seunghoon Hong Sung-Eui Yoon | 2022 | |
Learning economic indicators by aggregating multi-level geospatial information | Proceedings of the AAAI Conference on Artificial Intelligence | Sungwon Park Sungwon Han Donghyun Ahn Jaeyeon Kim Jeasurk Yang | 2022/6/28 |
Multi-view representation learning via total correlation objective | Advances in Neural Information Processing Systems | HyeongJoo Hwang Geon-Hyeong Kim Seunghoon Hong Kee-Eung Kim | 2021/12/6 |
Improving unsupervised image clustering with robust learning | Sungwon Park Sungwon Han Sundong Kim Danu Kim Sungkyu Park | 2021 |
Co-Authors
