Azamatbek (BS, 2017) started working on Samsung Electronics, the most profitable technology company in the world as of 2017 2nd quarter. =) Madi (BS, 2017) joined Moloco, a promising US-based startup company. Doyeon (BS, 2017) admitted to the computer science… Continue Reading →
We invite motivated applicants for postdoc, researcher and PhD (including MS/PhD) studies. [Vacancies] A Postdoc position The Statistical Artificial Intelligence Laboratory (SAIL) at Ulsan National Institute of Science and Technology (UNIST) invites applications for postdoctoral positions in various areas… Continue Reading →
We welcome a new researcher, Soonjae Kwon! Soonjae recently finished his master’s degree with deep learning based natural language understanding at Sogang university.
Our team composed of Giyoung, Donyeon, Sehyun and Jaesik ranked 190 (9.17%) out of 2071 teams participated. https://www.kaggle.com/c/two-sigma-financial-modeling/leaderboard
We are pleased to hold the 2016 SAIL UNIST Workshop! http://sail.unist.ac.kr/wp-content/uploads/2016/11/SAIL_workshop_2016_GE.v.png
We are pleased to announce the release of demo SW server to public: http://saildemo.unist.ac.kr/ Currently the server includes the following demos: “Automated Time-Series Analysis” – The Relational Automatic Statistician “Semantic Image Segmentation” – Global Deconvolutional Network “Pedestrian Detection” – RCNN… Continue Reading →
Our lab currently has some open positions for Grads, Postdocs and Researchers to solve some of the World’s Greatest Problems in AI! If you are interested in joining our lab, please contact Prof. Jaesik Choi at firstname.lastname@example.org with your CV and… Continue Reading →
We are excited that 5 new researchers/grad/undergrad students join our lab and 2 researchers visit our lab for research collaborations in this fall. Jangwoo Park (MS from Gwangju Institute of Science and Technology) joins as a PhD student in… Continue Reading →
In this fall, Dongeun will join the department of computer science at Texas A&M University-Commerce as an assistant professor. Congrats Prof. Dongeun Lee!
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 →