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Our paper, “Global Deconvolutional Networks for Semantic Segmentation” written by Vladimir, Janghoon and Jaesik is accepted BMVC-16. We show that simple but innovative ways to incorporate global context information to improve deep learning based semantic segmentation. We also demonstrate that the… Continue Reading →
Our undergrad intern, Madi, participates Google summer internship program at Mountain View, CA. Patrick Patolla (from Hamburg University of Technology, Germany) and Nikola Markovic (University of Belgrade, Serbia) visit our lab as summer graduate interns.
Our paper, “Novel Data Reduction Based on Statistical Similarity” written by Dongeun and Jaesik is accepted at SSDBM-2016. This is a joint work with our collaborators, Alex Sim and John Wu, in the Berkeley Lab. The data reduction method is… Continue Reading →
We invite motivated applications for Postdoc and PhD (including MS/PhD) studies. [Vacancies] Postdoc positions The Statistical Artificial Intelligence Laboratory (SAIL) at Ulsan National Institute of Science and Technology (UNIST) invites applications for postdoctoral positions in various areas of machine… Continue Reading →
It is great that our research projects are appeared in Korean mass media. MBC News – Video link KBS News – Video link UBC News – Video link MBC Special – Video link Here are related papers (including papers in… Continue Reading →
Our group welcome a new researcher/lab manager, Jongjyun Koo. We also have a new graduate member, Thanh Nguyen, the valedictorian from Talented Engineering Program at Danang University of Science and Technology, Vietnam, and two new undergrad members, Haebeom Lee (senior… Continue Reading →
Congrats on the first MS graduate, Yunseong Hwang, and two excellent undergrad alumni, Taehoon Kim and Sanghun Kang. Yunseong (MS, 2016) started working at NAVER Search solutions (military service). Kyungjoong (PhD Candidate) started working at Stradvision, a computer vision startup…. Continue Reading →
[Paper] The Best Paper Award from DataCom 2015 for Predicting Household Electricity Usage (Dec 2015)
In collaboration with the Berkeley Lab, our members (Taehoon Kim, Dongeun Lee and Jaesik Choi) builds a predictive model for real-world household electricity data and receives the best paper award at DataCom 2015. The new model handles large-scale real-world household electricity usage data…. Continue Reading →
We are so excited that Sanghoon Kang and Jeeyeon Han join our lab as undergraduate intern! (September 2015)
We thank for Prof. Yung-Kyun for presenting an in-depth analysis on earnest neighbor methods and algorithms.
