most citedSpatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning

13 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DB20201 cited

Compressed Key Sort and Fast Index Reconstruction

Yongsik Kwon, Cheol Ryu, Sang Kyun Cha +3

In this paper we propose an index key compression scheme based on the notion of distinction bits by proving that the distinction bits of index keys are sufficient information to de…

cs.CV202013 cited

Spatial Semantic Embedding Network: Fast 3D Instance Segmentation with Deep Metric Learning

Dongsu Zhang, Junha Chun, Sang Kyun Cha +1

We propose spatial semantic embedding network (SSEN), a simple, yet efficient algorithm for 3D instance segmentation using deep metric learning. The raw 3D reconstruction of an ind…

eess.SP2020

STAR: Spatio-Temporal Prediction of Air Quality Using A Multimodal Approach

Tien-Cuong Bui, Joonyoung Kim, Taewoo Kang +5

With the increase of global economic activities and high energy demand, many countries have raised concerns about air pollution. However, air quality prediction is a challenging is…

cs.MM20192 cited

An Attention-Based Speaker Naming Method for Online Adaptation in Non-Fixed Scenarios

Jungwoo Pyo, Joohyun Lee, Youngjune Park +2

A speaker naming task, which finds and identifies the active speaker in a certain movie or drama scene, is crucial for dealing with high-level video analysis applications such as a…

cs.LG20193 cited

Spatiotemporal deep learning model for citywide air pollution interpolation and prediction

Van-Duc Le, Tien-Cuong Bui, Sang Kyun Cha

Recently, air pollution is one of the most concerns for big cities. Predicting air quality for any regions and at any time is a critical requirement of urban citizens. However, air…