CVML

Computer Vision and Machine Learning Lab.

Computer Vision and Machine Learning Lab, Yonsei University.

We are interested in various problems in computer vision and machine learning.

Particularly, our recent studies focus on studying:

Deep Neural Network

Object detection

Classification

Medical image processing

Generative Models

Image synthesis

Image editing

Face modeling

3D
Vision

Modeling

Reconstruction

Data
Mining

Retrieval

Recommendation

Hashing

News

Mar, 2021. Congratulations! The paper "Region-based Dropout with Attention Prior for Weakly Supervised Object Localization" is accepted to Pattern Recognition (IF=7.196).

Mar, 2021. Congratulations! The paper "Railroad is Not a Train: Saliency as Pseudo-pixel Supervisions for Weakly Supervised Semantic Segmentation " is accepted to IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Jan. 16. 2021. Congratulations! We have one paper "Session-aware Linear Item-Item Models for Session-based Recommendation" accepted to The Web Conference (WWW).

Dec, 2020. Congratulations! The paper "Few-shot Font Generation with Localized Style Representations and Factorization" is accepted to Association for the Advancement of Artificial Intelligence (AAAI).

Oct, 2020. Congratulations! The paper "Rigid and non-rigid motion artifact reduction in X-ray CT using attention module" is accepted to Medical Image Analysis (IF=11.148).

Aug, 2020. Congratulations! Junsuk Choe has granted Ph.D degree and has graduated SIT, Yonsei.

Aug, 2020. Congratulations! The paper "GridMix: Strong Regularization Through Local Context Mapping" is accepted to Pattern Recognition (IF=7.196).

May, 2020. Congratulations! The paper "Attention-based Dropout Layer for Weakly Supervised Single Object Localization and Semantic Segmentation" is accepted to IEEE Transactions on Pattern Analysis and Machine Intelligence (IF=17.730).

Mar, 2020. Song Park started research internship in NAVER corp.

Feb, 2020. Congratulations! Duhyeon Bang has granted Ph.D degree and has graduated SIT, Yonsei.

Feb, 2020. Congratulations! The paper "Discriminator Feature-based Inference by Recycling the Discriminator of GANs" is accepted to International Journal of Computer Vision (IF=6.071).


Contact

Advisor's Office

Jinri C (Veritas C) #419, Yonsei University Int'l campus, 85, Songdogwahak-ro, Yeonsu-gu, Incheon, Korea

인천광역시 연수구 송도과학로85 연세대학교 국제캠퍼스 진리관C 419호


Lab.

Jinri C (Veritas C) #428, Yonsei University Int'l campus, 85, Songdogwahak-ro, Yeonsu-gu, Incheon, Korea

인천광역시 연수구 송도과학로85 연세대학교 국제캠퍼스 진리관C 428호


Map