Kyoung Mu Lee

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Seoul National University

Seoul National University Professor

DAQ: Distribution-Aware Quantization for Deep Image Super-Resolution Networks

Quantizing deep convolutional neural networks for image super-resolution...
12/21/2020 ∙ by Cheeun Hong, et al. ∙ 0 ∙ share

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Searching for Controllable Image Restoration Networks

Diverse user preferences over images have recently led to a great amount...
12/21/2020 ∙ by Heewon Kim, et al. ∙ 2 ∙ share

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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...
11/23/2020 ∙ by Gyeongsik Moon, et al. ∙ 8 ∙ share

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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 ...
11/23/2020 ∙ by Gyeongsik Moon, et al. ∙ 0 ∙ share

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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...
11/17/2020 ∙ by Hongsuk Choi, et al. ∙ 9 ∙ share

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DynaVSR: Dynamic Adaptive Blind Video Super-Resolution

Most conventional supervised super-resolution (SR) algorithms assume tha...
11/09/2020 ∙ by Suyoung Lee, et al. ∙ 7 ∙ share

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Meta-Learning with Adaptive Hyperparameters

Despite its popularity, several recent works question the effectiveness ...
10/31/2020 ∙ by Sungyong Baik, et al. ∙ 18 ∙ share

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AIM 2020 Challenge on Video Temporal Super-Resolution

Videos in the real-world contain various dynamics and motions that may l...
09/28/2020 ∙ by Sanghyun Son, et al. ∙ 11 ∙ share

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Domain Adaptation of Learned Features for Visual Localization

We tackle the problem of visual localization under changing conditions, ...
08/21/2020 ∙ by Sungyong Baik, et al. ∙ 0 ∙ share

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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...
08/21/2020 ∙ by Gyeongsik Moon, et al. ∙ 0 ∙ share

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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...
08/20/2020 ∙ by Hongsuk Choi, et al. ∙ 0 ∙ share

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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...
08/19/2020 ∙ by Gyeongsik Moon, et al. ∙ 11 ∙ share

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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...
08/09/2020 ∙ by Gyeongsik Moon, et al. ∙ 0 ∙ share

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Visual Tracking by TridentAlign and Context Embedding

Recent advances in Siamese network-based visual tracking methods have en...
07/14/2020 ∙ by Janghoon Choi, et al. ∙ 0 ∙ share

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

Most current action recognition methods heavily rely on appearance infor...
07/13/2020 ∙ by Gyeongsik Moon, et al. ∙ 0 ∙ share

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NTIRE 2020 Challenge on Image and Video Deblurring

Motion blur is one of the most common degradation artifacts in dynamic s...
05/04/2020 ∙ by Seungjun Nah, et al. ∙ 7 ∙ share

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AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results

Videos contain various types and strengths of motions that may look unna...
05/04/2020 ∙ by Seungjun Nah, et al. ∙ 1 ∙ share

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Scene-Adaptive Video Frame Interpolation via Meta-Learning

Video frame interpolation is a challenging problem because there are dif...
04/02/2020 ∙ by Myungsub Choi, et al. ∙ 0 ∙ share

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Fine-Grained Neural Architecture Search

We present an elegant framework of fine-grained neural architecture sear...
11/18/2019 ∙ by Heewon Kim, et al. ∙ 0 ∙ share

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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 ...
10/26/2019 ∙ by Ju Yong Chang, et al. ∙ 6 ∙ share

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Continual Learning by Asymmetric Loss Approximation with Single-Side Overestimation

Catastrophic forgetting is a critical challenge in training deep neural ...
08/08/2019 ∙ by Dongmin Park, et al. ∙ 2 ∙ share

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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...
07/26/2019 ∙ by Gyeongsik Moon, et al. ∙ 1 ∙ share

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Learning to Forget for Meta-Learning

Few-shot learning is a challenging problem where the system is required ...
06/13/2019 ∙ by Sungyong Baik, et al. ∙ 0 ∙ share

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

Multi-person pose estimation from a 2D image is challenging because it r...
05/10/2019 ∙ by Gyeongsik Moon, et al. ∙ 4 ∙ share

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PoseFix: Model-agnostic General Human Pose Refinement Network

Multi-person pose estimation from a 2D image is an essential technique f...
12/10/2018 ∙ by Gyeongsik Moon, et al. ∙ 14 ∙ share

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SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection

We propose an efficient Stereographic Projection Neural Network (SPNet) ...
11/05/2018 ∙ by Mohsen Yavartanoo, et al. ∙ 0 ∙ share

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Deep Vessel Segmentation By Learning Graphical Connectivity

We propose a novel deep-learning-based system for vessel segmentation. E...
06/06/2018 ∙ by Seung Yeon Shin, et al. ∙ 0 ∙ share

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Part-Aligned Bilinear Representations for Person Re-identification

We propose a novel network that learns a part-aligned representation for...
04/19/2018 ∙ by Yumin Suh, et al. ∙ 2 ∙ share

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Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space

In this paper, we propose a novel on-line visual tracking framework base...
12/26/2017 ∙ by Janghoon Choi, et al. ∙ 0 ∙ share

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

In this paper, we strive to answer two questions: What is the current st...
12/11/2017 ∙ by Shanxin Yuan, et al. ∙ 0 ∙ share

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Joint Blind Motion Deblurring and Depth Estimation of Light Field

Removing camera motion blur from a single light field is a challenging t...
11/29/2017 ∙ by Dongwoo Lee, et al. ∙ 0 ∙ share

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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...
11/20/2017 ∙ by Gyeongsik Moon, et al. ∙ 0 ∙ share

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Joint Weakly and Semi-Supervised Deep Learning for Localization and Classification of Masses in Breast Ultrasound Images

We propose a framework for localization and classification of masses in ...
10/10/2017 ∙ by Seung Yeon Shin, et al. ∙ 0 ∙ share

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Look Wider to Match Image Patches with Convolutional Neural Networks

When a human matches two images, the viewer has a natural tendency to vi...
09/19/2017 ∙ by Haesol Park, et al. ∙ 0 ∙ share

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Joint Estimation of Camera Pose, Depth, Deblurring, and Super-Resolution from a Blurred Image Sequence

The conventional methods for estimating camera poses and scene structure...
09/18/2017 ∙ by Haesol Park, et al. ∙ 0 ∙ share

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Enhanced Deep Residual Networks for Single Image Super-Resolution

Recent research on super-resolution has progressed with the development ...
07/10/2017 ∙ by Bee Lim, et al. ∙ 0 ∙ share

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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...
06/15/2017 ∙ by Gyeongsik Moon, et al. ∙ 0 ∙ share

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Online Video Deblurring via Dynamic Temporal Blending Network

State-of-the-art video deblurring methods are capable of removing non-un...
04/11/2017 ∙ by Tae Hyun Kim, et al. ∙ 0 ∙ share

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Visual Tracking by Reinforced Decision Making

One of the major challenges of model-free visual tracking problem has be...
02/21/2017 ∙ by Janghoon Choi, et al. ∙ 0 ∙ share

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Deep Multi-scale Convolutional Neural Network for Dynamic Scene Deblurring

Non-uniform blind deblurring for general dynamic scenes is a challenging...
12/07/2016 ∙ by Seungjun Nah, et al. ∙ 0 ∙ share

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Occlusion-Aware Video Deblurring with a New Layered Blur Model

We present a deblurring method for scenes with occluding objects using a...
11/29/2016 ∙ by Byeongjoo Ahn, et al. ∙ 0 ∙ share

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Dynamic Scene Deblurring using a Locally Adaptive Linear Blur Model

State-of-the-art video deblurring methods cannot handle blurry videos re...
03/14/2016 ∙ by Tae Hyun Kim, et al. ∙ 0 ∙ share

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Deeply-Recursive Convolutional Network for Image Super-Resolution

We propose an image super-resolution method (SR) using a deeply-recursiv...
11/14/2015 ∙ by Jiwon Kim, et al. ∙ 0 ∙ share

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Generalized Video Deblurring for Dynamic Scenes

Several state-of-the-art video deblurring methods are based on a strong ...
07/09/2015 ∙ by Tae Hyun Kim, et al. ∙ 0 ∙ share

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Kyoung Mu Lee

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