Donghwan Lee
16 papers · 2019–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Academic Marathon Β· Sprint π Conference Polyglot Β· Gold π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(76)
Venues
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(10)
Computer Vision
(5)
Reinforcement Learning
(5)
Methods
(5)
Artificial Intelligence
(4)
Analysis
(4)
Core AI
(4)
Deep Learning
(3)
Domain-Specific
(3)
Learning Types
(3)
Processing
(2)
Computer Science
(1)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Keywords
linear function approximation
(4)
camera pose
(3)
temporal difference learning
(2)
markov decision process
(2)
visual localization
(2)
target network
(2)
robot navigation
(1)
domain generalization
(1)
3d reconstruction
(1)
parameter estimation
(1)
function approximation
(1)
uncertainty quantification
(1)
model calibration
(1)
model evaluation
(1)
depth estimation
(1)
feature extraction
(1)
autonomous driving
(1)
distributed learning
(1)
pose estimation
(1)
sample complexity
(1)
Papers
GH-NAF: Grid-Adaptive Hash-Level-Attended Neural Attenuation Fields for Discrepancy-Aware CBCT
CVPR 2026
A Primal-dual Perspective for Distributed TD-learning
IJCAI 2025
OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment
MICCAI 2025
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
ICML 2024
Regularized Q-Learning
NeurIPS 2024
Backstepping Temporal Difference Learning
ICLR 2023
Demystifying Disagreement-on-the-Line in High Dimensions
ICML 2023
T-Cal: An Optimal Test for the Calibration of Predictive Models
JMLR 2023
TMO: Textured Mesh Acquisition of Objects With a Mobile Device by Using Differentiable Rendering
CVPR 2023
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
NeurIPS 2022
DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes
ICCV 2021
Large-Scale Localization Datasets in Crowded Indoor Spaces
CVPR 2021
Local to Global: Efficient Visual Localization for a Monocular Camera
WACV 2021
A Unified Switching System Perspective and Convergence Analysis of Q-Learning Algorithms
NeurIPS 2020
Periodic Q-Learning
L4DC 2020
Target-Based Temporal-Difference Learning
ICML 2019