most citedSC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color

38 citations · 45 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CV2019

Learning to Discriminate Information for Online Action Detection

Hyunjun Eun, Jinyoung Moon, Jongyoul Park +2

From a streaming video, online action detection aims to identify actions in the present. For this task, previous methods use recurrent networks to model the temporal sequence of cu…

cs.CV2019

SRG: Snippet Relatedness-based Temporal Action Proposal Generator

Hyunjun Eun, Sumin Lee, Jinyoung Moon +3

Recent temporal action proposal generation approaches have suggested integrating segment- and snippet score-based methodologies to produce proposals with high recall and accurate b…

cs.CV2019

CenterMask : Real-Time Anchor-Free Instance Segmentation

Youngwan Lee, Jongyoul Park

We propose a simple yet efficient anchor-free instance segmentation, called CenterMask, that adds a novel spatial attention-guided mask (SAG-Mask) branch to anchor-free one stage o…

cs.CV20197 cited

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

Youngwan Lee, Joong-won Hwang, Sangrok Lee +2

As DenseNet conserves intermediate features with diverse receptive fields by aggregating them with dense connection, it shows good performance on the object detection task. Althoug…

cs.CV2019

Visual Relationship Detection with Language prior and Softmax

Jaewon Jung, Jongyoul Park

Visual relationship detection is an intermediate image understanding task that detects two objects and classifies a predicate that explains the relationship between two objects in…

cs.CV201938 cited

SC-FEGAN: Face Editing Generative Adversarial Network with User's Sketch and Color

Youngjoo Jo, Jongyoul Park

We present a novel image editing system that generates images as the user provides free-form mask, sketch and color as an input. Our system consist of a end-to-end trainable convol…