Difference between revisions of "Main Page"
From MIPAL
Line 6: | Line 6: | ||
<br /> <br /> <br /> <br /> <br /> <br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /> | <br /> <br /> <br /> <br /> <br /> <br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /><br /> | ||
+ | <br /> | ||
Revision as of 01:22, 7 December 2019
People who are interested in our group or searching for a postdoc position are requested to contact Prof. Kwak (nojunk@snu.ac.kr).
For more information on admission, please visit the homepage of SNU GSCST.
- Two papers have been accepted in AAAI 2020 (both oral).
- A paper has been accepted in NeurIPS 2019.
- A paper has been accepted in ACML 2019.
- We have two papers accepted in ICCV 2019.
- A paper has been accepted in ACL 2019.
- We have a paper accepted in IET Radar, Sonar & Navigation.
- We have a paper accepted in IJCNN2019.
- A paper titled 'TW3-based Fully Automated Bone Age Assessment System using Deep Neural Networks' has been accepted in IEEE Access.
- A paper has been accepted in 2019 IEEE Radar Conference.
- Two papers were presented in ICPRAM 2019.
- We have a paper accepted in AAAI 2019 (record low acceptance rate of 16.2%).
- A paper titled 'Nonparametric Estimation of Probabilistic Membership for Subspace Clustering' was accepted in IEEE Trans. on Cybernetics.
- In 2018, we have published 2 CVPR, 2 ECCV, 2 BMVC, 2 NeurIPS and 1 ISMIR papers on deep learning and 2 EuMW and 1 MIKON papers on radar signal processing.
- Two journal papers were published in 2018 (IEEE TIP and PR).
- We won the Honorable Mention Award in the POSETRACK CHALLENGE at ECCV2018 workshop.
- MIPAL is affiliated with SNU's Center for Artificial Intelligence (SCAI)
- 우리랩 이명기, 손성준, 박규태 학생이 이끈 V.DO team이 Kaggle Data Science Bowl 2017에 참가하여 총 1972팀 중 35위를 거두었습니다. (국내 팀들 중 1위)
- 우리 랩 이상국 (Sang-Kuk Lee) 학생이 이끄는 마이크로미러팀이 서울대학교 창업경진대회 대상 을 수상했습니다.
- We participated in the DARPA Robotics Challenge, and ranked 12th (2nd among the 3 teams from Korea). Video available on Youtube.
- We, the Smart Humanity Research Group at SNU, awarded a BK21+ program grant funded by Korean Government 2013 and 2015 respectively.
Research Areas
- Semi- / Weakly Supervision
- Model Compression
- Object Detection
- Semantic Segmentation
- Pose Estimation
- Image Translation / Synthesis
- Super Resolution / Image Restoration
- Reinforcement Learning
- Visual Question Answering
- Semantic Sentence Matching