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Songhwai Oh

24 papers · 2013–2025 · 8 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+8 more ↓ πŸ—ΊοΈ Taxonomy Completionist (53) πŸƒ Academic Marathon Β· Half 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
🧬 Topic Evolution πŸ—ƒοΈ Keyword Collector (144) 🌈 Renaissance Researcher (5) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸš€ Conference Pioneer πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter

Venues

CVPR (8) NeurIPS (7) ICCV (4) AAAI (1) CoRL (1) ECCV (1) ICLR (1) RSS (1)

Top co-authors

Kyungjae Lee (6) Minsik Lee (5) Jeongho Park (4) Eunwoo Kim (4) Dohyeong Kim (4) Sungjoon Choi (3) Hwiyeon Yoo (3) Chanho Ahn (3) Obin Kwon (3) Jungchan Cho (3)

Research topics

Machine Learning (17) Reinforcement Learning (9) Artificial Intelligence (8) Deep Learning (8) Computer Vision (7) Analysis (7) Core AI (7) Methods (7) Optimization & Theory (7) Learning Types Β· Machine Learning (6) Application Areas (5) Applications (5) Learning Types Β· Deep Learning (5) Mathematics & Optimization (4) Architectures (4)

Keywords

reinforcement learning (4) policy optimization (2) model compression (2) neural network (2) visual navigation (2) 3d reconstruction (2) tsallis entropy (2) diffusion model (2) non-rigid structure from motion (2) multi-task learning (2) graph memory (2) deep reinforcement learning (2) 3d shape recovery (2) network architecture (1) online learning (1) image classification (1) model selection (1) offline reinforcement learning (1) neural network compression (1) unsupervised learning (1)

Papers

Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning ICLR 2025 Adversarial Environment Design via Regret-Guided Diffusion Models NeurIPS 2024 Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees NeurIPS 2024 Diffused Task-Agnostic Milestone Planner NeurIPS 2023 Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding CVPR 2023 Renderable Neural Radiance Map for Visual Navigation CVPR 2023 Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback NeurIPS 2023 Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints NeurIPS 2023 Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations AAAI 2022 Topological Semantic Graph Memory for Image-Goal Navigation CoRL 2022 Visual Graph Memory With Unsupervised Representation for Visual Navigation ICCV 2021 Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots RSS 2020 Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards NeurIPS 2020 Deep Elastic Networks With Model Selection for Multi-Task Learning ICCV 2019 Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks CVPR 2019 Unsupervised 3D Reconstruction Networks ICCV 2019 Maximum Causal Tsallis Entropy Imitation Learning NeurIPS 2018 NestedNet: Learning Nested Sparse Structures in Deep Neural Networks CVPR 2018 Unsupervised holistic image generation from key local patches ECCV 2018 Consensus of Non-Rigid Reconstructions CVPR 2016 Elastic-Net Regularization of Singular Values for Robust Subspace Learning CVPR 2015 Fast and Accurate Head Pose Estimation via Random Projection Forests ICCV 2015 A Procrustean Markov Process for Non-Rigid Structure Recovery CVPR 2014 Procrustean Normal Distribution for Non-rigid Structure from Motion CVPR 2013