saildemo.unist.ac.kr

Demo SWs and Videos of SAIL@UNIST

Demo SWs and Videos designed and developed by members of Statistical Artificial Intelligence Lab (SAIL). Generating Automatic Reports from Time-Series Data. Deep Learning Models for End-to-End Training to Segmenta Image Semantically. Deep Learning based Real-Time Pedestrian Detection. Learn Textual Relations From Large Text Data. An End-to-end Deep Learning Architecture to Learn Robotic Manipulation. Statistical Artificial Intelligence Lab@UNIST. 50 UNIST, Ulsan 44919. Email: jaesik at unist.ac.kr.

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Demo SWs and Videos of SAIL@UNIST | saildemo.unist.ac.kr Reviews

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Demo SWs and Videos designed and developed by members of Statistical Artificial Intelligence Lab (SAIL). Generating Automatic Reports from Time-Series Data. Deep Learning Models for End-to-End Training to Segmenta Image Semantically. Deep Learning based Real-Time Pedestrian Detection. Learn Textual Relations From Large Text Data. An End-to-end Deep Learning Architecture to Learn Robotic Manipulation. Statistical Artificial Intelligence Lab@UNIST. 50 UNIST, Ulsan 44919. Email: jaesik at unist.ac.kr.

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1 sail@unist

2 menu

3 automated time series analysis

4 semantic segmentation

5 pedestrian detection

6 slot filling

7 behavior learning/

8 at unist

9 semantic image segmentation

10 robot behavior learning

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Demo SWs and Videos of SAIL@UNIST | saildemo.unist.ac.kr Reviews

https://saildemo.unist.ac.kr

Demo SWs and Videos designed and developed by members of Statistical Artificial Intelligence Lab (SAIL). Generating Automatic Reports from Time-Series Data. Deep Learning Models for End-to-End Training to Segmenta Image Semantically. Deep Learning based Real-Time Pedestrian Detection. Learn Textual Relations From Large Text Data. An End-to-end Deep Learning Architecture to Learn Robotic Manipulation. Statistical Artificial Intelligence Lab@UNIST. 50 UNIST, Ulsan 44919. Email: jaesik at unist.ac.kr.

INTERNAL PAGES

saildemo.unist.ac.kr

1

SAIL Lab Demos

http://saildemo.unist.ac.kr/pedestrian_detection

Pedestrian Detection Demo v.1.3. 2016/09/22: Added MATLAB computational engine, MR = 17.72%. 2016/08/14: Released Demo v1.0, MR = 24.7%. Or upload an image:.

2

SAIL Lab Demos

http://saildemo.unist.ac.kr/end_to_end_robot

An End-to-End Robot Architecture for Object Manipulations. 2016/10/14: Presented at the 10th International Workshop On Cognitive Robotics, IROS 2016 ( slides.

3

Segmentation Demo

http://saildemo.unist.ac.kr/semantic_segmentation

Upload your image file:. Bilinear XY st. dev. Bilinear RGB st. dev. How to use this demo. All you need to do is to upload an rgb image. If any of its dimensions exceeds 500 pixels, it will be resized to 500. After uploading the image and choosing appropriate parameters, please click the 'run the model' button. Have fun! The current semantic segmentation model, global deconvolutional network. By LCChen et al). In contrast to Deep-Lab, our model relies on global interpolation. PASCAL VOC 2012 test results.

4

Relational Automatic Statistician

http://saildemo.unist.ac.kr/automatic_statistician

Make data speak itself. Exploit the relation and connection of data. More data, better prediction, more general in interpretation. Insight analytic of time series data (stock prices, currency exchange). American International Group (AIG). Automatically generate report from data. American International Group (AIG). Discover stock price changes impacted by the 911 event. 50, UNIST-gil, Ulsan 44919, Republic of Korea.

5

Demo SWs and Videos of SAIL@UNIST

http://saildemo.unist.ac.kr/index.html

Demo SWs and Videos designed and developed by members of Statistical Artificial Intelligence Lab (SAIL). Generating Automatic Reports from Time-Series Data. Deep Learning Models for End-to-End Training to Segmenta Image Semantically. Deep Learning based Real-Time Pedestrian Detection. Learn Textual Relations From Large Text Data. An End-to-end Deep Learning Architecture to Learn Robotic Manipulation. Statistical Artificial Intelligence Lab@UNIST. 50 UNIST, Ulsan 44919. Email: jaesik at unist.ac.kr.

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sail.unist.ac.kr

Open positions | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/greetings/open-positions

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). Descriptions] The Statistical Artificial Intelligence Laboratory (SAIL). At Ulsan National Institute of Science and Technology (UNIST). Vacancies] Multiple PhD positions. The Statistical Artificial Intelligence Laboratory (SAIL). At Ulsan National University of Science and Technology (UNIST). Is a recent...

sail.unist.ac.kr

Greetings | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/greetings

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). The Statistical Artificial Intelligence Lab (SAI-Lab) at UNIST is led by Prof. Jaesik Choi. The SAI-Lab aims to build innovative models and algorithms for human-level intelligent systems. Our lab has multiple openings for graduate studies. We hope to receive excellent applications! Job] Congratulations D...

sail.unist.ac.kr

Janghoon Ju | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/members/janghoon

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). News] 2016 SAIL UNIST Workshop. Demo SW] Release of Demo SW (October 2016). Open Positions] Grad students, Postdocs and Researchers. New members] 4 excellent researcher/grad students and 1 undergrad intern join in this Fall (August/September 2016). News] 2016 SAIL UNIST Workshop. Theme by Anders Noren.

sail.unist.ac.kr

Seongwoo Lim | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/seongwoo

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). Seongwoo received his BS degree in Computer Science Engineering from Ulsan National Institute of Science and Technology in August 2015 (early graduation in 3.5 years). Seongwoo’s current research interests are natural language processing (Question answering). 임성우, 한지연, 이교운, 최재식. 지식베이스 확장을 위한 자동 관계 추출.

sail.unist.ac.kr

Rafael de Lima | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/members/rafael

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). Rafael Lima received his BS in Electrical Engineering from Federal University of Bahia in 2014. He is currently an MS student at Ulsan National Institute of Science and Technology, since 2015. News] 2016 SAIL UNIST Workshop. Demo SW] Release of Demo SW (October 2016). News] 2016 SAIL UNIST Workshop.

sail.unist.ac.kr

Members | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/members

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). PhD from University of Illinois at Urbana-Champaign, 2012. BS from Seoul National University, 2004. Postdoctoral Researcher, 2015 August – present. PhD from Indian Institute of Science, Bangalore, 2014. BTech from Indian Institute of Technology, Kanpur, 2005. BS from University of Ulsan, 2007. BS from Da...

sail.unist.ac.kr

Invited Speakers | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/invited-speakers

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). Yung-Kyun Noh, BK Assistant Professor at Seoul National University,. Machine Learning with Nearest Neighbors. September 8, 2015. ( flyer. Bohyung Han, Associate Professor at POSTECH,. Learning Deconvolution Network for Semantic Segmentation. May 29, 2015. ( flyer. April 14, 2015. ( flyer. March 21, 2014&...

sail.unist.ac.kr

Giyoung Jeon | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/members/giyoung

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). Giyoung Jeon received his BS degree in Electrical Engineering from Ulsan National Institute of Science and Technology in August 2015 (early graduation in 3.5 years as a top 5% graduate). Research Exchange at ANL. News] 2016 SAIL UNIST Workshop. Demo SW] Release of Demo SW (October 2016). Our lab has mult...

sail.unist.ac.kr

Publications in Korean | Statistical Artificial Intelligence Lab@UNIST

http://sail.unist.ac.kr/publications/publications-in-korean

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). 한국정보과학회, 정보과학회지, 제34권 제9호, 2016.9. 한국정보과학회, 정보과학회지, 제33권 제8호, 2015.8. 임성우, 한지연, 이교운, 최재식. 지식베이스 확장을 위한 자동 관계 추출. 한국정보과학회, 정보과학회지 , 제34권 제9호 2016.9, 39-46. 정경중, 최재식,. 얼굴정렬과 AdaBoost를 이용한 얼굴 표정 인식. 전자공회논문지, 제51권 11호, 2014.11, 193-201. 빅데이터를 위한 확률 관계형 학습 모델의 변분 추론. 딥러닝 기반 실시간 안개제거 알고리즘. Our lab has multiple...

pail.unist.ac.kr

Members | Statistical Artificial Intelligence Lab@UNIST

http://pail.unist.ac.kr/members

Statistical Artificial Intelligence Lab@UNIST. Artificial Intelligence and Machine Learning Research. UNIST ECE Interdisciplinary project (2015 Spring). UNIST ECE Interdisciplinary project (2015 Spring). PhD from University of Illinois at Urbana-Champaign, 2012. BS from Seoul National University, 2004. Postdoctoral Researcher, 2015 August – present. PhD from Indian Institute of Science, Bangalore, 2014. BTech from Indian Institute of Technology, Kanpur, 2005. BS from University of Ulsan, 2007. MS Student...

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Demo SWs and Videos of SAIL@UNIST

Demo SWs and Videos designed and developed by members of Statistical Artificial Intelligence Lab (SAIL). Generating Automatic Reports from Time-Series Data. Deep Learning Models for End-to-End Training to Segmenta Image Semantically. Deep Learning based Real-Time Pedestrian Detection. Learn Textual Relations From Large Text Data. An End-to-end Deep Learning Architecture to Learn Robotic Manipulation. Statistical Artificial Intelligence Lab@UNIST. 50 UNIST, Ulsan 44919. Email: jaesik at unist.ac.kr.

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