most citedBMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation

12 citations · 14 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes

Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong +2

A novel algorithm to detect road lanes in the eigenlane space is proposed in this paper. First, we introduce the notion of eigenlanes, which are data-driven descriptors for structu…

cs.CV2022

Semantic Line Detection Using Mirror Attention and Comparative Ranking and Matching

Dongkwon Jin, Jun-Tae Lee, Chang-Su Kim

A novel algorithm to detect semantic lines is proposed in this paper. We develop three networks: detection network with mirror attention (D-Net) and comparative ranking and matchin…

cs.CV20221 cited

Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation

Wonhui Park, Dongkwon Jin, Chang-Su Kim

Novel contour descriptors, called eigencontours, based on low-rank approximation are proposed in this paper. First, we construct a contour matrix containing all object boundaries i…

eess.IV20221 cited

RD-Optimized Trit-Plane Coding of Deep Compressed Image Latent Tensors

Seungmin Jeon, Jae-Han Lee, Chang-Su Kim

DPICT is the first learning-based image codec supporting fine granular scalability. In this paper, we describe how to implement two key components of DPICT efficiently: trit-plane…

cs.CV202012 cited

BMBC:Bilateral Motion Estimation with Bilateral Cost Volume for Video Interpolation

Junheum Park, Keunsoo Ko, Chul Lee +1

Video interpolation increases the temporal resolution of a video sequence by synthesizing intermediate frames between two consecutive frames. We propose a novel deep-learning-based…

cs.CV2020

Interactive Video Object Segmentation Using Global and Local Transfer Modules

Yuk Heo, Yeong Jun Koh, Chang-Su Kim

An interactive video object segmentation algorithm, which takes scribble annotations on query objects as input, is proposed in this paper. We develop a deep neural network, which c…