Songhwai Oh | DeepAI

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Featured Co-authors

Philip H. S. Torr
173 publications
Ming-Hsuan Yang
115 publications
Sangdoo Yun
44 publications
Dongheui Lee
30 publications
Sungjoon Choi
23 publications
Kyungjae Lee
18 publications
Donghoon Lee
17 publications
Minsoo Kim
16 publications
Sungbin Lim
13 publications
Hyemin Ahn
10 publications
Minsik Lee
9 publications

∙ 03/07/2023

Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding

The main challenge in vision-and-language navigation (VLN) is how to und...

0 Minyoung Hwang, et al. ∙

∙ 03/01/2023

Renderable Neural Radiance Map for Visual Navigation

We propose a novel type of map for visual navigation, a renderable neura...

0 Obin Kwon, et al. ∙

∙ 01/26/2023

Efficient Trust Region-Based Safe Reinforcement Learning with Low-Bias Distributional Actor-Critic

To apply reinforcement learning (RL) to real-world applications, agents ...

0 Dohyeong Kim, et al. ∙

∙ 09/17/2022

Topological Semantic Graph Memory for Image-Goal Navigation

A novel framework is proposed to incrementally collect landmark-based gr...

0 Nuri Kim, et al. ∙

∙ 03/14/2022

Texture Generation Using Dual-Domain Feature Flow with Multi-View Hallucinations

We propose a dual-domain generative model to estimate a texture map from...

0 Seunggyu Chang, et al. ∙

∙ 09/23/2021

Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving

In this paper, we consider the problem of autonomous driving using imita...

0 Gunmin Lee, et al. ∙

∙ 09/16/2021

Towards Defensive Autonomous Driving: Collecting and Probing Driving Demonstrations of Mixed Qualities

Designing or learning an autonomous driving policy is undoubtedly a chal...

0 Jeongwoo Oh, et al. ∙

∙ 12/16/2020

Visually Grounding Instruction for History-Dependent Manipulation

This paper emphasizes the importance of robot's ability to refer its tas...

0 Hyemin Ahn, et al. ∙

∙ 10/24/2020

Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards

In this paper, we consider stochastic multi-armed bandits (MABs) with he...

0 Kyungjae Lee, et al. ∙

∙ 11/11/2019

Generative Autoregressive Networks for 3D Dancing Move Synthesis from Music

This paper proposes a framework which is able to generate a sequence of ...

0 Hyemin Ahn, et al. ∙

∙ 09/11/2019

Deep Elastic Networks with Model Selection for Multi-Task Learning

In this work, we consider the problem of instance-wise dynamic network m...

0 Chanho Ahn, et al. ∙

∙ 04/09/2019

Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks

Deep networks consume a large amount of memory by their nature. A natura...

0 Eunwoo Kim, et al. ∙

∙ 01/31/2019

Tsallis Reinforcement Learning: A Unified Framework for Maximum Entropy Reinforcement Learning

In this paper, we present a new class of Markov decision processes (MDPs...

0 Kyungjae Lee, et al. ∙

∙ 05/28/2018

Interactive Text2Pickup Network for Natural Language based Human-Robot Collaboration

In this paper, we propose the Interactive Text2Pickup (IT2P) network for...

0 Hyemin Ahn, et al. ∙

∙ 05/28/2018

Learning Instance-Aware Object Detection Using Determinantal Point Processes

Recent object detectors find instances while categorizing candidate regi...

0 Nuri Kim, et al. ∙

∙ 05/22/2018

Maximum Causal Tsallis Entropy Imitation Learning

In this paper, we propose a novel maximum causal Tsallis entropy (MCTE) ...

0 Kyungjae Lee, et al. ∙

∙ 03/22/2018

Deep Pose Consensus Networks

In this paper, we address the problem of estimating a 3D human pose from...

0 Geonho Cha, et al. ∙

∙ 01/12/2018

Generative Single Image Reflection Separation

Single image reflection separation is an ill-posed problem since two sce...

0 Donghoon Lee, et al. ∙

∙ 12/11/2017

Learning Nested Sparse Structures in Deep Neural Networks

Recently, there have been increasing demands to construct compact deep a...

0 Eunwoo Kim, et al. ∙

∙ 10/15/2017

Text2Action: Generative Adversarial Synthesis from Language to Action

In this paper, we propose a generative model which learns the relationsh...

0 Hyemin Ahn, et al. ∙

∙ 09/19/2017

Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning

In this paper, a sparse Markov decision process (MDP) with novel causal ...

0 Kyungjae Lee, et al. ∙

∙ 09/03/2017

Uncertainty-Aware Learning from Demonstration using Mixture Density Networks with Sampling-Free Variance Modeling

In this paper, we propose an uncertainty-aware learning from demonstrati...

0 Sungjoon Choi, et al. ∙

∙ 03/31/2017

Unsupervised Holistic Image Generation from Key Local Patches

We introduce a new problem of generating an image based on a small numbe...

0 Donghoon Lee, et al. ∙

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