activity
20152020
most citedLook Wider to Match Image Patches with Convolutional Neural Networks

108 citations · 174 across the 13 of their papers we have counts for

collaborators

30 papers

cs.CV2020

Searching for Controllable Image Restoration Networks

Heewon Kim, Sungyong Baik, Myungsub Choi +2

Diverse user preferences over images have recently led to a great amount of interest in controlling the imagery effects for image restoration tasks. However, existing methods requi…

cs.LG20206 cited

Meta-Learning with Adaptive Hyperparameters

Sungyong Baik, Myungsub Choi, Janghoon Choi +2

Despite its popularity, several recent works question the effectiveness of MAML when test tasks are different from training tasks, thus suggesting various task-conditioned methodol…

cs.CV2020

DynaVSR: Dynamic Adaptive Blind Video Super-Resolution

Suyoung Lee, Myungsub Choi, Kyoung Mu Lee

Most conventional supervised super-resolution (SR) algorithms assume that low-resolution (LR) data is obtained by downscaling high-resolution (HR) data with a fixed known kernel, b…

cs.CV2020

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

Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang +1

Despite the recent success of single image-based 3D human pose and shape estimation methods, recovering temporally consistent and smooth 3D human motion from a video is still chall…

cs.CV20207 cited

AIM 2020 Challenge on Video Temporal Super-Resolution

Sanghyun Son, Jaerin Lee, Seungjun Nah +2

Videos in the real-world contain various dynamics and motions that may look unnaturally discontinuous in time when the recordedframe rate is low. This paper reports the second AIM…

cs.CV2020

Domain Adaptation of Learned Features for Visual Localization

Sungyong Baik, Hyo Jin Kim, Tianwei Shen +3

We tackle the problem of visual localization under changing conditions, such as time of day, weather, and seasons. Recent learned local features based on deep neural networks have…