14 citations · 35 across the 15 of their papers we have counts for
6 papers · 1 filter
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…