activity
20172022
most citedWeakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting

11 citations · 15 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Lightweight Alpha Matting Network Using Distillation-Based Channel Pruning

Donggeun Yoon, Jinsun Park, Donghyeon Cho

Recently, alpha matting has received a lot of attention because of its usefulness in mobile applications such as selfies. Therefore, there has been a demand for a lightweight alpha…

cs.CV2020

Non-Local Spatial Propagation Network for Depth Completion

Jinsun Park, Kyungdon Joo, Zhe Hu +2

In this paper, we propose a robust and efficient end-to-end non-local spatial propagation network for depth completion. The proposed network takes RGB and sparse depth images as in…

cs.CV2019★ 3 cited

Propose-and-Attend Single Shot Detector

Ho-Deok Jang, Sanghyun Woo, Philipp Benz +2

We present a simple yet effective prediction module for a one-stage detector. The main process is conducted in a coarse-to-fine manner. First, the module roughly adjusts the defaul…

cs.CV2019★ 1 cited

Camera Exposure Control for Robust Robot Vision with Noise-Aware Image Quality Assessment

Ukcheol Shin, Jinsun Park, Gyumin Shim +2

In this paper, we propose a noise-aware exposure control algorithm for robust robot vision. Our method aims to capture the best-exposed image which can boost the performance of var…

cs.CV2017★ 11 cited

Weakly- and Self-Supervised Learning for Content-Aware Deep Image Retargeting

Donghyeon Cho, Jinsun Park, Tae-Hyun Oh +2

This paper proposes a weakly- and self-supervised deep convolutional neural network (WSSDCNN) for content-aware image retargeting. Our network takes a source image and a target asp…

cs.CV2017

A Unified Approach of Multi-scale Deep and Hand-crafted Features for Defocus Estimation

Jinsun Park, Yu-Wing Tai, Donghyeon Cho +1

In this paper, we introduce robust and synergetic hand-crafted features and a simple but efficient deep feature from a convolutional neural network (CNN) architecture for defocus e…