68 citations · 96 across the 12 of their papers we have counts for
12 papers
RefPose: Leveraging Reference Geometric Correspondences for Accurate 6D Pose Estimation of Unseen Objects
Jaeguk Kim, Jaewoo Park, Keuntek Lee +1
Estimating the 6D pose of unseen objects from monocular RGB images remains a challenging problem, especially due to the lack of prior object-specific knowledge. To tackle this issu…
Line Graph Vietoris-Rips Persistence Diagram for Topological Graph Representation Learning
Jaesun Shin, Eunjoo Jeon, Taewon Cho +2
While message passing graph neural networks result in informative node embeddings, they may suffer from describing the topological properties of graphs. To this end, node filtratio…
Leveraging Positional Encoding for Robust Multi-Reference-Based Object 6D Pose Estimation
Jaewoo Park, Jaeguk Kim, Nam Ik Cho
Accurately estimating the pose of an object is a crucial task in computer vision and robotics. There are two main deep learning approaches for this: geometric representation regres…
High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation
Haesoo Chung, Nam Ik Cho
High dynamic range (HDR) imaging is a highly challenging task since a large amount of information is lost due to the limitations of camera sensors. For HDR imaging, some methods ca…
LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction
Haesoo Chung, Nam Ik Cho
As demands for high-quality videos continue to rise, high-resolution and high-dynamic range (HDR) imaging techniques are drawing attention. To generate an HDR video from low dynami…
Lightweight Hybrid Video Compression Framework Using Reference-Guided Restoration Network
Hochang Rhee, Seyun Kim, Nam Ik Cho
Recent deep-learning-based video compression methods brought coding gains over conventional codecs such as AVC and HEVC. However, learning-based codecs generally require considerab…