Donghwan Lee
15 papers · 2019–2025 · 10 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (6)
🐣
Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🌍
Conference Polyglot
(10)
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🗃️
Keyword Collector
(62)
💎
Century Club
(15)
🔥
Unstoppable
(7)
🚀
Conference Pioneer
Conferences
ICML (3)
NIPS (3)
CVPR (2)
ICCV (1)
ICLR (1)
IJCAI (1)
JMLR (1)
L4DC (1)
MICCAI (1)
WACV (1)
Top co-authors
Research topics
Keywords
linear function approximation
(3)
camera pose
(3)
target network
(2)
markov decision process
(2)
visual localization
(2)
robot navigation
(1)
domain generalization
(1)
3d reconstruction
(1)
parameter estimation
(1)
feature extraction
(1)
function approximation
(1)
uncertainty quantification
(1)
model calibration
(1)
model evaluation
(1)
temporal difference learning
(1)
autonomous driving
(1)
distributed learning
(1)
pose estimation
(1)
depth estimation
(1)
sample complexity
(1)
Papers
OFF-CLIP: Improving Normal Detection Confidence in Radiology CLIP with Simple Off-Diagonal Term Auto-Adjustment
MICCAI 2025
A Primal-dual Perspective for Distributed TD-learning
IJCAI 2025
A Theory of Non-Linear Feature Learning with One Gradient Step in Two-Layer Neural Networks
ICML 2024
Regularized Q-Learning
NIPS 2024
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
Backstepping Temporal Difference Learning
ICLR 2023
Demystifying Disagreement-on-the-Line in High Dimensions
ICML 2023
Collaborative Learning of Discrete Distributions under Heterogeneity and Communication Constraints
NIPS 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
NIPS 2020
Periodic Q-Learning
L4DC 2020
Target-Based Temporal-Difference Learning
ICML 2019