Tag Archives: Kuk-Jin Yoon

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Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation

By admin 2021년 7월 26일

Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation- Author : Hyeokjun Kweon*, Sung-Hoon Yoon*, Hyeonseong Kim, Daehee Park, and Kuk-Jin Yoon – Published Date : TBD – Category : Weakly-supervised semantic segmentation – Place of publication : IEEE/CVF International Conference on Computer Vision (ICCV) 2021 Abstract: Weakly-supervised semantic segmentation (WSSS)…

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One paper accepted to Pattern Recognition(Jul. 25, 2021).

By admin 2021년 7월 26일

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.

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Semi-supervised Student-Teacher Learning for Single Image Super-Resolution

By admin 2021년 7월 26일

Semi-supervised Student-Teacher Learning for Single Image Super-Resolution- Author : Lin Wang and Kuk-Jin Yoon – Published Date : TBD – Category : Super-Resolution – Place of publication : Pattern Recognition Atstract: Most existing approaches for single image super-resolution (SISR) resort to quality low-high resolution (LR-HR) pairs and available degradation kernels to train networks for a specific task…

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Three papers accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 2021 and IEEE Robotics and Automation Letters (RA-L) (Jun. 30, 2021) .

By admin 2021년 6월 30일

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,…

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Improvement of Optical Flow Estimation by Using the Hampel Filter for Low-End Embedded Systems

By admin 2021년 6월 30일

Improvement of Optical Flow Estimation by Using the Hampel Filter for Low-End Embedded Systems- Author : Ji-il Park, Yeongseok Lee, Eungyo Suh, Hyunyong Jeon, Kuk-Jin Yoon and Kyung-Soo Kim – Published Date : July 2021 – Category : Optical Flow – Place of publication : IEEE Robotics and Automation Letters (RA-L) Atstract: Owing to the recent advances…

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One paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (Jun. 29, 2021).

By admin 2021년 6월 29일

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.

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E2SRI: Learning to Super-Resolve IntensityImages from Events

By admin 2021년 6월 29일

E2SRI: Learning to Super-Resolve IntensityImages from Events- Author : Mohammad Mostafavi, Yeongwoo Nam, Jonghyun Choi, and Kuk-Jin Yoon – Published Date : July 2021 – Category : Super Resolution, Event Camera – Place of publication : IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 Atstract: An event camera reports per-pixel intensity differences as an asynchronous…

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Scanline Resolution-invariant Depth Completion using a Single Image and Sparse LiDAR Point Cloud

By admin 2021년 6월 24일

Scanline Resolution-invariant Depth Completion using a Single Image and Sparse LiDAR Point Cloud- Author : Kwonyoung Ryu(KAIST), Kang-il Lee (KAIST), Jegyeong Cho (KAIST) and Kuk-Jin Yoon (KAIST) – Published Date : TBD – Category : Depth Completion – Place of publication : IEEE Robotics and Automation Letters (RA-L) 2021 Abstract: Most existing deep learning-based depth completion methods are…

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EOMVS : Event-based Omnidirectional Multi-View Stereo

By admin 2021년 6월 19일

EOMVS : Event-based Omnidirectional Multi-View Stereo- Author : Hoonhee Cho (KAIST), Jae-Seok Jeong (KASIT), Kuk-Jin Yoon (KAIST) – Published Date : TBD – Category : Multi-view Stereo – Place of publication : IEEE Robotics and Automation Letters (RA-L) 2021 Abstract: Event-based cameras sense changes in light intensity and asynchronously output event data. These cameras have the advantage…

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One paper accepted to IJCAI 2021 Workshop on Artificial Intelligence for Autonomous Driving (Jun. 18, 2021).

By admin 2021년 6월 18일

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.

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