Songhwai Oh
24 papers · 2013–2025 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+11 more ↓ Show less ↑
π Academic Marathon (12) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(55)
π§¬
Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(139)
π
Trend Setter
π
Century Club
(24)
β‘
Prolific Year
(5)
π₯
Unstoppable
(8)
π
Conference Pioneer
Conferences
CVPR (8)
NIPS (7)
ICCV (4)
AAAI (1)
CORL (1)
ECCV (1)
ICLR (1)
RSS (1)
Top co-authors
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
NIPS 2024
Spectral-Risk Safe Reinforcement Learning with Convergence Guarantees
NIPS 2024
Sequential Preference Ranking for Efficient Reinforcement Learning from Human Feedback
NIPS 2023
Renderable Neural Radiance Map for Visual Navigation
CVPR 2023
Diffused Task-Agnostic Milestone Planner
NIPS 2023
Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints
NIPS 2023
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding
CVPR 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
Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards
NIPS 2020
Generalized Tsallis Entropy Reinforcement Learning and Its Application to Soft Mobile Robots
RSS 2020
Unsupervised 3D Reconstruction Networks
ICCV 2019
Deep Elastic Networks With Model Selection for Multi-Task Learning
ICCV 2019
Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
CVPR 2019
Maximum Causal Tsallis Entropy Imitation Learning
NIPS 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
Fast and Accurate Head Pose Estimation via Random Projection Forests
ICCV 2015
Elastic-Net Regularization of Singular Values for Robust Subspace Learning
CVPR 2015
A Procrustean Markov Process for Non-Rigid Structure Recovery
CVPR 2014
Procrustean Normal Distribution for Non-rigid Structure from Motion
CVPR 2013