Jongmin Lee | DeepAI

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Featured Co-authors

Doina Precup
141 publications
Joelle Pineau
116 publications
Nicolas Heess
104 publications
Minsu Cho
74 publications
Bohyung Han
62 publications
Jean Ponce
47 publications
Hongseok Yang
29 publications
Philippe Weinzaepfel
27 publications
Daniel J. Mankowitz
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Arthur Guez
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Paul Hongsuck Seo
19 publications

∙ 07/21/2023

SACReg: Scene-Agnostic Coordinate Regression for Visual Localization

Scene coordinates regression (SCR), i.e., predicting 3D coordinates for ...

0 Jerome Revaud, et al. ∙

∙ 05/26/2023

Accelerating Value Iteration with Anchoring

Value Iteration (VI) is foundational to the theory and practice of moder...

0 Jongmin Lee, et al. ∙

∙ 03/25/2023

Learning Rotation-Equivariant Features for Visual Correspondence

Extracting discriminative local features that are invariant to imaging v...

0 Jongmin Lee, et al. ∙

∙ 10/24/2022

Local Metric Learning for Off-Policy Evaluation in Contextual Bandits with Continuous Actions

We consider local kernel metric learning for off-policy evaluation (OPE)...

0 Haanvid Lee, et al. ∙

∙ 06/15/2022

Self-Supervised Learning of Image Scale and Orientation

We study the problem of learning to assign a characteristic pose, i.e., ...

0 Jongmin Lee, et al. ∙

∙ 04/19/2022

COptiDICE: Offline Constrained Reinforcement Learning via Stationary Distribution Correction Estimation

We consider the offline constrained reinforcement learning (RL) problem,...

0 Jongmin Lee, et al. ∙

∙ 04/19/2022

Self-Supervised Equivariant Learning for Oriented Keypoint Detection

Detecting robust keypoints from an image is an integral part of many com...

2 Jongmin Lee, et al. ∙

∙ 02/28/2022

LobsDICE: Offline Imitation Learning from Observation via Stationary Distribution Correction Estimation

We consider the problem of imitation from observation (IfO), in which th...

0 Geon-Hyeong Kim, et al. ∙

∙ 02/07/2022

Neural Tangent Kernel Analysis of Deep Narrow Neural Networks

The tremendous recent progress in analyzing the training dynamics of ove...

0 Jongmin Lee, et al. ∙

∙ 06/21/2021

OptiDICE: Offline Policy Optimization via Stationary Distribution Correction Estimation

We consider the offline reinforcement learning (RL) setting where the ag...

10 Jongmin Lee, et al. ∙

∙ 07/21/2020

Learning to Compose Hypercolumns for Visual Correspondence

Feature representation plays a crucial role in visual correspondence, an...

1 Juhong Min, et al. ∙

∙ 03/05/2020

Spherical Principal Curves

This paper presents a new approach for dimension reduction of data obser...

0 Jang-Hyun Kim, et al. ∙

∙ 08/28/2019

SPair-71k: A Large-scale Benchmark for Semantic Correspondence

Establishing visual correspondences under large intra-class variations, ...

1 Juhong Min, et al. ∙

∙ 08/18/2019

Hyperpixel Flow: Semantic Correspondence with Multi-layer Neural Features

Establishing visual correspondences under large intra-class variations r...

2 Juhong Min, et al. ∙

∙ 08/06/2018

Attentive Semantic Alignment with Offset-Aware Correlation Kernels

Semantic correspondence is the problem of establishing correspondences a...

2 Paul Hongsuck Seo, et al. ∙

∙ 05/01/2018

Consensus-based Distributed Quantile Estimation in Sensor Networks

A quantile is defined as a value below which random draws from a given d...

0 Jongmin Lee, et al. ∙

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