Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds- Author : Mohammad Mostafavi, Kuk-Jin Yoon and Jonghyun Choi – Published Date : TBD – Category : Stereo matching – Place of publication : IEEE/CVF International Conference on Computer Vision (ICCV) 2021 Abstract: Event cameras can report scene movements as an asynchronous stream of data called the events.…
Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation- Author : Lin Wang, Yujeong Chae, and Kuk-Jin Yoon – Published Date : TBD – Category : Dual learning – Place of publication : IEEE/CVF International Conference on Computer Vision (ICCV) 2021 Abstract: Event cameras are novel sensors that perceive the per-pixel intensity changes…
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)…
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.
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…
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,…
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…
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.
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…
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…