14 citations · 35 across the 15 of their papers we have counts for
15 papers
Contrastive Order Learning: A General Framework for Ordinal Regression
Chaewon Lee, BeomJun Shim, Kwang Pyo Choi +1
We propose contrastive order learning (ConOrd), a contrastive learning framework for ordinal regression that integrates the strengths of contrastive learning and order learning. Wh…
Recursive Video Lane Detection
Dongkwon Jin, Dahyun Kim, Chang-Su Kim
A novel algorithm to detect road lanes in videos, called recursive video lane detector (RVLD), is proposed in this paper, which propagates the state of a current frame recursively…
BiFormer: Learning Bilateral Motion Estimation via Bilateral Transformer for 4K Video Frame Interpolation
Junheum Park, Jintae Kim, Chang-Su Kim
A novel 4K video frame interpolator based on bilateral transformer (BiFormer) is proposed in this paper, which performs three steps: global motion estimation, local motion refineme…
Versatile Depth Estimator Based on Common Relative Depth Estimation and Camera-Specific Relative-to-Metric Depth Conversion
Jinyoung Jun, Jae-Han Lee, Chang-Su Kim
A typical monocular depth estimator is trained for a single camera, so its performance drops severely on images taken with different cameras. To address this issue, we propose a ve…
Context-Based Trit-Plane Coding for Progressive Image Compression
Seungmin Jeon, Kwang Pyo Choi, Youngo Park +1
Trit-plane coding enables deep progressive image compression, but it cannot use autoregressive context models. In this paper, we propose the context-based trit-plane coding (CTC) a…
Applying Eigencontours to PolarMask-Based Instance Segmentation
Wonhui Park, Dongkwon Jin, Chang-Su Kim
Eigencontours are the first data-driven contour descriptors based on singular value decomposition. Based on the implementation of ESE-Seg, eigencontours were applied to the instanc…
Depth Map Decomposition for Monocular Depth Estimation
Jinyoung Jun, Jae-Han Lee, Chul Lee +1
We propose a novel algorithm for monocular depth estimation that decomposes a metric depth map into a normalized depth map and scale features. The proposed network is composed of a…
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…
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…
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…
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…
DPICT: Deep Progressive Image Compression Using Trit-Planes
Jae-Han Lee, Seungmin Jeon, Kwang Pyo Choi +2
We propose the deep progressive image compression using trit-planes (DPICT) algorithm, which is the first learning-based codec supporting fine granular scalability (FGS). First, we…
IceNet for Interactive Contrast Enhancement
Keunsoo Ko, Chang-Su Kim
A CNN-based interactive contrast enhancement algorithm, called IceNet, is proposed in this work, which enables a user to adjust image contrast easily according to his or her prefer…
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…
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…