Seunghoon Hong

3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation AAAI 2025 Feature Augmentation Based Test-Time Adaptation WACV 2025 Revisiting Random Walks for Learning on Graphs ICLR 2025 Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild ECCV 2024 Learning to Compose: Improving Object Centric Learning by Injecting Compositionality ICLR 2024 Learning to Merge Tokens via Decoupled Embedding for Efficient Vision Transformers NeurIPS 2024 Meta-Controller: Few-Shot Imitation of Unseen Embodiments and Tasks in Continuous Control NeurIPS 2024 MetaWeather: Few-Shot Weather-Degraded Image Restoration ECCV 2024 Simulation-Free Training of Neural ODEs on Paired Data NeurIPS 2024 Information-Theoretic State Space Model for Multi-View Reinforcement Learning ICML 2023 Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance NeurIPS 2023 Towards End-to-End Generative Modeling of Long Videos With Memory-Efficient Bidirectional Transformers CVPR 2023 Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching ICLR 2023 Equivariant Hypergraph Neural Networks ECCV 2022 Learning Economic Indicators by Aggregating Multi-Level Geospatial Information AAAI 2022 Multi-Task Processes ICLR 2022 Part-Based Pseudo Label Refinement for Unsupervised Person Re-Identification CVPR 2022 Pure Transformers are Powerful Graph Learners NeurIPS 2022 Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost NeurIPS 2022 Improving Unsupervised Image Clustering With Robust Learning CVPR 2021 Multi-View Representation Learning via Total Correlation Objective NeurIPS 2021 Neural Contrast Enhancement of CT Image WACV 2021 Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction ICLR 2021 SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data CVPR 2021 Transformers Generalize DeepSets and Can be Extended to Graphs & Hypergraphs NeurIPS 2021 High-Fidelity Synthesis with Disentangled Representation ECCV 2020 Residual Neural Processes AAAI 2020 Variational Interaction Information Maximization for Cross-domain Disentanglement NeurIPS 2020 Adversarial Defense via Learning to Generate Diverse Attacks ICCV 2019 Diversity-Sensitive Conditional Generative Adversarial Networks ICLR 2019 Inferring Semantic Layout for Hierarchical Text-to-Image Synthesis CVPR 2018 Learning Hierarchical Semantic Image Manipulation through Structured Representations NeurIPS 2018 Weakly Supervised Semantic Segmentation Using Web-Crawled Videos CVPR 2017 Learning Transferrable Knowledge for Semantic Segmentation With Deep Convolutional Neural Network CVPR 2016 Decoupled Deep Neural Network for Semi-supervised Semantic Segmentation NeurIPS 2015 Learning Deconvolution Network for Semantic Segmentation ICCV 2015 Online Tracking by Learning Discriminative Saliency Map with Convolutional Neural Network ICML 2015 Joint Segmentation and Pose Tracking of Human in Natural Videos ICCV 2013 Orderless Tracking through Model-Averaged Posterior Estimation ICCV 2013