Jongmin Lee

A Paradigm Shift in High-Resolution Depth Estimation Using SPAD-Based LiDAR Histograms: From Signal Filtering to Lightweight Similarity Learning AAAI 2026 MV-RoMa: From Pairwise Matching into Multi-View Track Reconstruction CVPR 2026 Dense-SfM: Structure from Motion with Dense Consistent Matching CVPR 2025 Near-Optimal Sample Complexity for MDPs via Anchoring ICML 2025 Optimal Non-Asymptotic Rates of Value Iteration for Average-Reward Markov Decision Processes ICLR 2025 SEMDICE: Off-policy State Entropy Maximization via Stationary Distribution Correction Estimation ICLR 2025 3D Equivariant Pose Regression via Direct Wigner-D Harmonics Prediction NeurIPS 2024 Body Transformer: Leveraging Robot Embodiment for Policy Learning CoRL 2024 Kernel Metric Learning for In-Sample Off-Policy Evaluation of Deterministic RL Policies ICLR 2024 MFOS: Model-Free & One-Shot Object Pose Estimation AAAI 2024 Mitigating Covariate Shift in Behavioral Cloning via Robust Stationary Distribution Correction NeurIPS 2024 Motion-Aware Heatmap Regression for Human Pose Estimation in Videos IJCAI 2024 ROIDICE: Offline Return on Investment Maximization for Efficient Decision Making NeurIPS 2024 Accelerating Value Iteration with Anchoring NeurIPS 2023 AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation NeurIPS 2023 Learning Rotation-Equivariant Features for Visual Correspondence CVPR 2023 SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations NeurIPS 2023 Tempo Adaptation in Non-stationary Reinforcement Learning NeurIPS 2023 COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation ICLR 2022 DemoDICE: Offline Imitation Learning with Supplementary Imperfect Demonstrations ICLR 2022 GPT-Critic: Offline Reinforcement Learning for End-to-End Task-Oriented Dialogue Systems ICLR 2022 LobsDICE: Offline Learning from Observation via Stationary Distribution Correction Estimation NeurIPS 2022 Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions NeurIPS 2022 Neural Tangent Kernel Analysis of Deep Narrow Neural Networks ICML 2022 Self-Supervised Equivariant Learning for Oriented Keypoint Detection CVPR 2022 A Geometric Structure of Acceleration and Its Role in Making Gradients Small Fast NeurIPS 2021 Learning to Distill Convolutional Features Into Compact Local Descriptors WACV 2021 Monte-Carlo Planning and Learning with Language Action Value Estimates ICLR 2021 OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation ICML 2021 Representation Balancing Offline Model-based Reinforcement Learning ICLR 2021 Batch Reinforcement Learning with Hyperparameter Gradients ICML 2020 Bayes-Adaptive Monte-Carlo Planning and Learning for Goal-Oriented Dialogues AAAI 2020 Learning to Compose Hypercolumns for Visual Correspondence ECCV 2020 Monte-Carlo Tree Search in Continuous Action Spaces with Value Gradients AAAI 2020 Reinforcement Learning for Control with Multiple Frequencies NeurIPS 2020 Hyperpixel Flow: Semantic Correspondence With Multi-Layer Neural Features ICCV 2019 PyOpenDial: A Python-based Domain-Independent Toolkit for Developing Spoken Dialogue Systems with Probabilistic Rules EMNLP 2019 Trust Region Sequential Variational Inference ACML 2019 Attentive Semantic Alignment with Offset-Aware Correlation Kernels ECCV 2018 Monte-Carlo Tree Search for Constrained POMDPs NeurIPS 2018 Constrained Bayesian Reinforcement Learning via Approximate Linear Programming IJCAI 2017 Hierarchically-partitioned Gaussian Process Approximation AISTATS 2017 Bayesian Reinforcement Learning with Behavioral Feedback IJCAI 2016