Gyeongsik Moon | DeepAI

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Fan Yang
225 publications
Jan Kautz
134 publications
Kyoung Mu Lee
77 publications
Sergio Escalera
76 publications
Minsu Cho
74 publications
Tae-Kyun Kim
71 publications
Junsong Yuan
66 publications
Yang Wu
47 publications
Sangdoo Yun
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Pavlo Molchanov
35 publications
Sanghyuk Chun
34 publications

∙ 09/05/2023

Extract-and-Adaptation Network for 3D Interacting Hand Mesh Recovery

Understanding how two hands interact with each other is a key component ...

0 JoonKyu Park, et al. ∙

∙ 04/10/2023

Three Recipes for Better 3D Pseudo-GTs of 3D Human Mesh Estimation in the Wild

Recovering 3D human mesh in the wild is greatly challenging as in-the-wi...

0 Gyeongsik Moon, et al. ∙

∙ 03/27/2023

Recovering 3D Hand Mesh Sequence from a Single Blurry Image: A New Dataset and Temporal Unfolding

Hands, one of the most dynamic parts of our body, suffer from blur due t...

0 Yeonguk Oh, et al. ∙

∙ 03/23/2023

Bringing Inputs to Shared Domains for 3D Interacting Hands Recovery in the Wild

Despite recent achievements, existing 3D interacting hands recovery meth...

0 Gyeongsik Moon, et al. ∙

∙ 03/09/2023

Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation

Recently, a few self-supervised representation learning (SSL) methods ha...

0 Hongsuk Choi, et al. ∙

∙ 12/12/2022

MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels

We tackle the problem of generating long-term 3D human motion from multi...

0 Taeryung Lee, et al. ∙

∙ 10/02/2022

MonoNHR: Monocular Neural Human Renderer

Existing neural human rendering methods struggle with a single image inp...

0 Hongsuk Choi, et al. ∙

∙ 07/20/2022

3D Clothed Human Reconstruction in the Wild

Although much progress has been made in 3D clothed human reconstruction,...

0 Gyeongsik Moon, et al. ∙

∙ 03/28/2022

HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network

Hands are often severely occluded by objects, which makes 3D hand mesh e...

0 JoonKyu Park, et al. ∙

∙ 04/15/2021

3DCrowdNet: 2D Human Pose-Guided3D Crowd Human Pose and Shape Estimation in the Wild

Recovering accurate 3D human pose and shape from in-the-wild crowd scene...

0 Hongsuk Choi, et al. ∙

∙ 11/23/2020

Pose2Pose: 3D Positional Pose-Guided 3D Rotational Pose Prediction for Expressive 3D Human Pose and Mesh Estimation

Previous 3D human pose and mesh estimation methods mostly rely on only g...

8 Gyeongsik Moon, et al. ∙

∙ 11/23/2020

NeuralAnnot: Neural Annotator for in-the-wild Expressive 3D Human Pose and Mesh Training Sets

Recovering expressive 3D human pose and mesh from in-the-wild images is ...

0 Gyeongsik Moon, et al. ∙

∙ 11/17/2020

Beyond Static Features for Temporally Consistent 3D Human Pose and Shape from a Video

Despite the recent success of single image-based 3D human pose and shape...

9 Hongsuk Choi, et al. ∙

∙ 08/21/2020

InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image

Analysis of hand-hand interactions is a crucial step towards better unde...

0 Gyeongsik Moon, et al. ∙

∙ 08/20/2020

Pose2Mesh: Graph Convolutional Network for 3D Human Pose and Mesh Recovery from a 2D Human Pose

Most of the recent deep learning-based 3D human pose and mesh estimation...

0 Hongsuk Choi, et al. ∙

∙ 08/19/2020

DeepHandMesh: A Weakly-supervised Deep Encoder-Decoder Framework for High-fidelity Hand Mesh Modeling

Human hands play a central role in interacting with other people and obj...

11 Gyeongsik Moon, et al. ∙

∙ 08/09/2020

I2L-MeshNet: Image-to-Lixel Prediction Network for Accurate 3D Human Pose and Mesh Estimation from a Single RGB Image

Most of the previous image-based 3D human pose and mesh estimation metho...

0 Gyeongsik Moon, et al. ∙

∙ 07/13/2020

IntegralAction: Pose-driven Feature Integration for Robust Human Action Recognition in Videos

Most current action recognition methods heavily rely on appearance infor...

0 Gyeongsik Moon, et al. ∙

∙ 10/26/2019

AbsPoseLifter: Absolute 3D Human Pose Lifting Network from a Single Noisy 2D Human Pose

This study presents a new network (i.e., AbsPoseLifter) that lifts a 2D ...

6 Ju Yong Chang, et al. ∙

∙ 07/26/2019

Camera Distance-aware Top-down Approach for 3D Multi-person Pose Estimation from a Single RGB Image

Although significant improvement has been achieved in 3D human pose esti...

1 Gyeongsik Moon, et al. ∙

∙ 05/10/2019

Multi-scale Aggregation R-CNN for 2D Multi-person Pose Estimation

Multi-person pose estimation from a 2D image is challenging because it r...

4 Gyeongsik Moon, et al. ∙

∙ 12/10/2018

PoseFix: Model-agnostic General Human Pose Refinement Network

Multi-person pose estimation from a 2D image is an essential technique f...

14 Gyeongsik Moon, et al. ∙

∙ 12/11/2017

3D Hand Pose Estimation: From Current Achievements to Future Goals

In this paper, we strive to answer two questions: What is the current st...

0 Shanxin Yuan, et al. ∙

∙ 11/20/2017

V2V-PoseNet: Voxel-to-Voxel Prediction Network for Accurate 3D Hand and Human Pose Estimation from a Single Depth Map

Most of the existing deep learning-based methods for 3D hand and human p...

0 Gyeongsik Moon, et al. ∙

∙ 06/15/2017

Holistic Planimetric prediction to Local Volumetric prediction for 3D Human Pose Estimation

We propose a novel approach to 3D human pose estimation from a single de...

0 Gyeongsik Moon, et al. ∙

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