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Seunghoon Hong

  1. Learning Deconvolution Network for Semantic Segmentation
    2015/05/17 by Hyeonwoo Noh, Noh, Hyeonwoo, Seunghoon Hong +3 · 84 citations
    Computer Science · #Advanced Neural Network Applications #Medical Image Segmentation Techniques #Multimodal Machine Learning Applications
  2. Pure Transformers are Powerful Graph Learners
    2022/07/06 by Jinwoo Kim, Kim, Jinwoo, Tien Dat Nguyen +11 · 13 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data
    2021/03/29 by Jinwoo Kim, Kim, Jinwoo, Jaehoon Yoo +5 · 10 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)
  4. Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation
    2015/06/16 by Seunghoon Hong, Hong, Seunghoon, Hyeonwoo Noh +3 · 6 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  5. Improving Unsupervised Image Clustering With Robust Learning
    2020/12/21 by Sungwon Park, Sungwon Han, Park, Sungwon +11 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  6. Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
    2023/03/27 by Donggyun Kim, Jinwoo Kim, Kim, Donggyun +7 · 4 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  7. Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs
    2021/10/27 by Jinwoo Kim, Saeyoon Oh, Kim, Jinwoo +3 · 2 citations
    Computer Science · Environmental Science · #Advanced Graph Neural Networks #Energy and Environment Impacts #FOS: Computer and information sciences #Machine Learning (cs.LG)
  8. Learning Continuous Representation of Audio for Arbitrary Scale Super Resolution
    2021/10/30 by Jaechang Kim, Yunjoo Lee, Kim, Jaechang +5 · 2 citations
    Computer Science · Engineering · #Advanced Image Processing Techniques #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Image Processing Techniques and Applications #Image and Signal Denoising Methods #Machine Learning (cs.LG) #Sound (cs.SD) #electronic engineering #information engineering
  9. Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers
    2024/12/13 by Dong Hoon Lee, Lee, Dong Hoon, Seunghoon Hong +1 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques
  10. Revisiting Random Walks for Learning on Graphs
    2024/07/01 by Jinwoo Kim, Kim, Jinwoo, Olga Zaghen +7 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Text and Document Classification Technologies
  11. Learning Hierarchical Semantic Image Manipulation through Structured Representations
    2018/08/22 by Seunghoon Hong, Hong, Seunghoon, Xinchen Yan +5 · 2 citations
    Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
  12. Revisiting Weight Averaging for Model Merging
    2024/12/11 by Choi, Jiho, D Kim, C. K. Lee +4 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model-Driven Software Engineering Techniques
  13. Learning Economic Indicators by Aggregating Multi-Level Geospatial Information
    2022/05/03 by Sung Won Park, Park, Sungwon, Sungwon Han +19 · 3 citations
    Environmental Science · Economics, Econometrics and Finance · Social Sciences · #Impact of Light on Environment and Health #Energy, Environment, Economic Growth #Diverse Aspects of Tourism Research
  14. Variational Interaction Information Maximization for Cross-domain Disentanglement
    2020/12/08 by HyeongJoo Hwang, Hwang, HyeongJoo, Geon-Hyeong Kim +5 · 1 citation
    Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  15. Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost
    2022/10/27 by Sungjun Cho, Seonwoo Min, Cho, Sungjun +9 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning
  16. Equivariant Hypergraph Neural Networks
    2022/08/22 by Jinwoo Kim, Kim, Jinwoo, Saeyoon Oh +5 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Topic Modeling #Multimodal Machine Learning Applications
  17. Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control
    2024/12/10 by Seongwoong Cho, Donggyun Kim, Cho, Seongwoong +5 · 2 citations
    Neuroscience · #Artificial Intelligence (cs.AI) #Embodied and Extended Cognition #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  18. Diverse Generative Perturbations on Attention Space for Transferable Adversarial Attacks
    2022/08/11 by Woo Jae Kim, Seunghoon Hong, Kim, Woo Jae +3 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  19. Reward-Agnostic Prompt Optimization for Text-to-Image Diffusion Models
    2025/06/20 by Semin Kim, Kim, Semin, Cha, Yeonwoo +4 · 3 citations
    Computer Science · Medicine · #FOS: Computer and information sciences #Lung Cancer Treatments and Mutations #Machine Learning (cs.LG) #Speech Recognition and Synthesis #Topic Modeling
  20. Simulation-Free Training of Neural ODEs on Paired Data
    2024/10/30 by Semin Kim, Jaehoon Yoo, Kim, Semin +8 · 2 citations
    Computer Science · Physics and Astronomy · #Neural Networks and Applications #Model Reduction and Neural Networks
  21. AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
    2025/03/28 by Chanhyuk Lee, Lee, Chanhyuk, Jiho Choi +7 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG)