Monthly Archives: 6월 2021

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6월

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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Evaluating Region Modification based Data Augmentation Techniques for Low Level Vision Tasks

By admin 2021년 6월 18일

Evaluating Region Modification based Data Augmentation Techniques for Low Level Vision Tasks- Author : Pranjay Shyam (KAIST), Sandeep Singh Sengar (University of Copenhagen), Kuk-Jin Yoon (KAIST) and Kyung-Soo Kim (KAIST) – Published Date : TBD – Category : Image Enhancement – Place of publication : IJCAI 2021 Workshop on Artificial Intelligence for Autonomous Driving Abstract: Region modification-based…

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VILab won CVPRW 2021 DSEC competition (Jun. 16, 2021)

By admin 2021년 6월 17일

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.…

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