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* [[Media: MIPAL_introduction.pdf| Introduction to MIPAL]] / [http://convergence.snu.ac.kr/main/archives/portfolio-items/%EC%BB%B4%ED%93%A8%ED%84%B0%EC%A7%80%EB%8A%A5-%EB%B0%8F-%ED%8C%A8%ED%84%B4%EC%9D%B8%EC%8B%9D-%EC%97%B0%EA%B5%AC%EC%8B%A4-%EB%B6%80%EA%B5%90%EC%88%98-%EA%B3%BD%EB%85%B8%EC%A4%80-%EC%A0%84%EA%B3%B5?portfolioCats=101%2C102%2C107%2C104 Video Clip] / [http://scai.snu.ac.kr/ SNU's Center for Artificial Intelligence (SCAI)] | * [[Media: MIPAL_introduction.pdf| Introduction to MIPAL]] / [http://convergence.snu.ac.kr/main/archives/portfolio-items/%EC%BB%B4%ED%93%A8%ED%84%B0%EC%A7%80%EB%8A%A5-%EB%B0%8F-%ED%8C%A8%ED%84%B4%EC%9D%B8%EC%8B%9D-%EC%97%B0%EA%B5%AC%EC%8B%A4-%EB%B6%80%EA%B5%90%EC%88%98-%EA%B3%BD%EB%85%B8%EC%A4%80-%EC%A0%84%EA%B3%B5?portfolioCats=101%2C102%2C107%2C104 Video Clip] / [http://scai.snu.ac.kr/ SNU's Center for Artificial Intelligence (SCAI)] | ||
| − | * For more information on admission, please visit the [http://convergence.snu.ac.kr homepage of SNU GSCST]. | + | * For more information on admission, please visit the [http://convergence.snu.ac.kr homepage of SNU GSCST] and [https://gsai.snu.ac.kr/%ea%b5%90%ec%88%98%ec%a7%84-%eb%aa%a9%eb%a1%9d/ GSAI]. |
* Intro. to MIPAL (appeared in [https://youtu.be/fB0EUWEVvMY BCS-AI@SNU mini-lecture burst series]) | * Intro. to MIPAL (appeared in [https://youtu.be/fB0EUWEVvMY BCS-AI@SNU mini-lecture burst series]) | ||
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| + | * [https://github.com/MIPAL-SNU MIPAL GitHub] (New Joiner Tutorials and Archives) | ||
<!-- * From Aug. 2019, prof. Kwak is on his sabbatical leave for [https://www.qualcomm.com/invention/artificial-intelligence/ai-research Qualcomm AI Research], San Diego. | <!-- * From Aug. 2019, prof. Kwak is on his sabbatical leave for [https://www.qualcomm.com/invention/artificial-intelligence/ai-research Qualcomm AI Research], San Diego. | ||
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== '''News''' == | == '''News''' == | ||
| − | * ''' A paper has been accepted in [https:// | + | * ''' A paper has been accepted in [https://icml.cc/ ICML 2022]'''. (Variational on the fly Personalization) |
| − | * ''' Three papers have been accepted in [https://wacv2022.thecvf.com/home | + | * ''' A paper has been accepted in [https://fl4nlp.github.io/ ACL2022 workshop].''' (Backdoor Attack in Federated Learning) |
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| + | * ''' Three papers have been accepted in [https://cvpr2022.thecvf.com/ CVPR 2022].''' (Semi-supervised Optical Flow, Image Matting, Semi-supervised object detection) | ||
| + | * ''' A paper has been accepted in [https://www.2022.aclweb.org/ Findings of ACL 2022].''' (Detection of Adversarial Examples in NLP) | ||
| + | |||
| + | * ''' We have a paper accepted in [https://www.radarconf2022.org/ RadarConf 2022].''' (RD map augmentation) | ||
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| + | * ''' A paper has been accepted in [https://icpram.scitevents.org/ ICPRAM 2022].''' (Video Inter-frame Generation) | ||
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| + | * ''' Three papers have been accepted in [https://wacv2022.thecvf.com/home WACV 2022].''' (Few Shot Object Detection, Domain Adapted Semantic Segmentation, Hand Pose Estimation) | ||
* ''' 3 Ph.D. Students are Graduating this February. Many congratulations to [[Jee-soo Kim| Jeesoo Kim]], [[Jangho Kim| Jangho Kim]] and [[Simyung Chang| Simyung Chang]]!!!''' | * ''' 3 Ph.D. Students are Graduating this February. Many congratulations to [[Jee-soo Kim| Jeesoo Kim]], [[Jangho Kim| Jangho Kim]] and [[Simyung Chang| Simyung Chang]]!!!''' | ||
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* ''' We have a paper accepted in [https://aaai.org/Conferences/AAAI-21/ AAAI 2021]''' (Video QA) | * ''' We have a paper accepted in [https://aaai.org/Conferences/AAAI-21/ AAAI 2021]''' (Video QA) | ||
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| − | * In 2021, we have published '''1 AAAI, 1 ICASSP, 2 CVPR, 1 CVPRW, 1 InterSpeech, 1 ICLRW, 1 IROS, 3 ICCV, 1 ICONIP, 1 TinyML''' papers as well as | + | * In 2021, we have published '''1 AAAI, 1 ICASSP, 2 CVPR, 1 CVPRW, 1 InterSpeech, 1 ICLRW, 1 IROS, 3 ICCV, 1 ICONIP, 1 TinyML''' papers as well as 4 journal papers. |
* In 2020, we have published '''2 AAAI, 2 ECCV, 1 ICML, 1 NeurIPS, 1 WACV, 1 ECAI, 2 CVPRW, 2 ICIP, 1 ICPR''' papers as well as 2 journal papers. | * In 2020, we have published '''2 AAAI, 2 ECCV, 1 ICML, 1 NeurIPS, 1 WACV, 1 ECAI, 2 CVPRW, 2 ICIP, 1 ICPR''' papers as well as 2 journal papers. | ||
Latest revision as of 11:28, 19 June 2022
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 and GSAI.
- Intro. to MIPAL (appeared in BCS-AI@SNU mini-lecture burst series)
- MIPAL GitHub (New Joiner Tutorials and Archives)
News
- A paper has been accepted in ICML 2022. (Variational on the fly Personalization)
- A paper has been accepted in ACL2022 workshop. (Backdoor Attack in Federated Learning)
- Three papers have been accepted in CVPR 2022. (Semi-supervised Optical Flow, Image Matting, Semi-supervised object detection)
- A paper has been accepted in Findings of ACL 2022. (Detection of Adversarial Examples in NLP)
- We have a paper accepted in RadarConf 2022. (RD map augmentation)
- A paper has been accepted in ICPRAM 2022. (Video Inter-frame Generation)
- Three papers have been accepted in WACV 2022. (Few Shot Object Detection, Domain Adapted Semantic Segmentation, Hand Pose Estimation)
- 3 Ph.D. Students are Graduating this February. Many congratulations to Jeesoo Kim, Jangho Kim and Simyung Chang!!!
- In 2021, we have published 1 AAAI, 1 ICASSP, 2 CVPR, 1 CVPRW, 1 InterSpeech, 1 ICLRW, 1 IROS, 3 ICCV, 1 ICONIP, 1 TinyML papers as well as 4 journal papers.
- In 2020, we have published 2 AAAI, 2 ECCV, 1 ICML, 1 NeurIPS, 1 WACV, 1 ECAI, 2 CVPRW, 2 ICIP, 1 ICPR papers as well as 2 journal papers.
- In 2019, we have published 1 ACL, 1 AAAI, 2 ICCV, 1 NeurIPS, 1 IJCNN, 1 ACML, 2 ICPRAM, 1 RadarConf papers as well as 4 journal papers.
- 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 as well as 2 journal papers (IEEE TIP and PR).
- We won the Honorable Mention Award in the POSETRACK CHALLENGE at ECCV2018 workshop.
Research Areas
- Un-/ Semi-/ Weakly Supervised Learning
- Model Compression
- Object Detection
- Semantic Segmentation
- Pose Estimation
- Image Translation / Synthesis
- Super Resolution / Image Restoration
- Reinforcement Learning
- Visual Question Answering
- Semantic Sentence Matching
- Radar Signal Processing
