One paper accepted to Pattern Recognition(Jul. 25, 2021).
We have one paper accepted to Pattern Recognition. The paper is “Semi-supervised Student-Teacher Learning for Single Image Super-Resolution” by Lin Wang and Kuk-Jin Yoon.
We have one paper accepted to Pattern Recognition. The paper is “Semi-supervised Student-Teacher Learning for Single Image Super-Resolution” by Lin Wang and Kuk-Jin Yoon.
We have four papers accepted to IEEE/CVF International Conference on Computer Vision (ICCV) 2021. The papers are “Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation” by Hyeokjun Kweon*, Sung-Hoon Yoon*, Hyeonseong Kim, Daehee Park, and Kuk-Jin Yoon, “Dual Transfer Learning for Event-based End-task Prediction via Pluggable Image Translation” by…
We have three papers accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 and IEEE Robotics and Automation Letters (RA-L). The papers are “EOMVS : Event-based Omnidirectional Multi-View Stereo” by Hoonhee Cho, Jae-seok Jeong, Kuk-Jin Yoon, “Scanline Resolution-invariant Depth Completion using a Single Image and Sparse LiDAR Point Cloud” by Kwonyoung Ryu, Kang-il Lee,…
We have one paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “E2SRI: Learning to Super-Resolve IntensityImages from Events.” by Mohammad Mostafavi, Yeongwoo Nam, Jonghyun Choi, and Kuk-Jin Yoon.
We have one paper accepted to IJCAI 2021 Workshop on Artificial Intelligence for Autonomous Driving. The paper is “Evaluating Region Modification based Data Augmentation Techniques for Low Level Vision Tasks” by Pranjay Shyam, Sandeep Singh Sengar, Kuk-Jin Yoon, Kyung-Soo Kim.
VILab won CVPRW 2021 DSEC competition. “EI-Stereo” by S. Mohammad Mostafavi I., Yeongwoo Nam, Kuk-Jin Yoon, and Jonghyun Choi achieves the best performance using both the event data and image (E + I). And “CESNet” by Hyeokjun Kweon, Jaeseok Jeong, Sung-hoon Yoon, Yujeong Chae, and Kuk-Jin Yoon achieves the best performance using only event data.…
We have one paper accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition(CVPR) 2021. The paper is “EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation” by Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the International Conference on Robotics and Automation(ICRA). The paper is “Adversarially trained Hierarchical Feature Extractor for Vehicle Re-identification” by Pranjay Shyam, Kuk-Jin Yoon and Kyung-Soo Kim. [Publication Link]
The paper “EvDistill: Asynchronous Events to End-task Learning via Bidirectional Reconstruction-guided Cross-modal Knowledge Distillation” by 왕린, 채유정, 윤성훈, 윤국진 won the second best paper award at Domestic Workshop on 33th Image Processing and Image Understanding (IPIU 2021). [Publication Link]
We have one paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2021). The paper is “Knowledge Distillation and Student-Teacher Learning for Visual Intelligence: A Review and New Outlooks.” by Lin wang and Kuk-Jin Yoon. [Publication Link]