284 citations
- LG (South Korea)KR3 papers
- Seoul National UniversityKR3 papers
- Yonsei UniversityKR2 papers
- California Southern UniversityUS1 paper
- CHA University Bundang Medical CenterKR1 paper
- Instituto Tecnológico de CanariasES1 paper
- Jilin UniversityCN1 paper
- Korea Advanced Institute of Science and TechnologyKR1 paper
- Kyonggi UniversityKR1 paper
- LG AI Research (South Korea)KR1 paper
- Microsoft (United States)US1 paper
- Norwegian University of Science and TechnologyNO1 paper
4 papers · 1 filter
Make (Nearly) Every Neural Network Better: Generating Neural Network Ensembles by Weight Parameter Resampling
Jiayi Liu, Samarth Tripathi, Unmesh Kurup +1
Deep Neural Networks (DNNs) have become increasingly popular in computer vision, natural language processing, and other areas. However, training and fine-tuning a deep learning mod…
Scene Understanding Networks for Autonomous Driving based on Around View Monitoring System
JeongYeol Baek, Ioana Veronica Chelu, Livia Iordache +7
Modern driver assistance systems rely on a wide range of sensors (RADAR, LIDAR, ultrasound and cameras) for scene understanding and prediction. These sensors are typically used for…
Sensing Hidden Vehicles by Exploiting Multi-Path V2V Transmission
Kaifeng Han, Seung-Woo Ko, Hyukjin Chae +2
This paper presents a technology of sensing hidden vehicles by exploiting multi-path vehicle-to-vehicle (V2V) communication. This overcomes the limitation of existing RADAR technol…
Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons
Hwiyeol Jo, Stanley Jungkyu Choi
We propose post-processing method for enriching not only word representation but also its vector space using semantic lexicons, which we call extrofitting. The method consists of 3…