Multi-Source Domain Alignment for Robust Segmentation in Unknown Targets- Author : Pranjay Shyam, Kuk-Jin Yoon, and Kyung-Soo Kim – Published Date : TBD – Category : Domain Adaptation – Place of publication : The 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) Abstract: TBD
We have one paper accepted to the Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI 2021). The paper is “Towards Domain Invariant Single Image Dehazing” by Pranjay Shyam, Kuk-Jin Yoon, Kyung-Soo Kim. [Publication Link]
We have one paper accepted to the International Journal of Computer Vision (IJCV). The paper is “Learning to Reconstruct HDR Images from Events, with Applications to Depth and Flow Prediction” by S. Mohammad Mostafavi I., Lin Wang, and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the IEEE Robotics and Automation Letters (RA-L). The paper is “Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency” by Taewoo Kim, Kwonyoung Ryu, Kyeongseob Song, and Kuk-Jin Yoon. [Publication Link]
Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency- Author : Taewoo Kim, Kwonyoung Ryu*, Kyeongseob Song*, and Kuk-Jin Yoon – Published Date : TBD – Category : Stereo Matching, Optical Flow – Place of publication : IEEE Robotics and Automation Letters (RA-L) Abstract: Most of existing deep learning-based depth…
We have one paper accepted to the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI). The paper is “SpherePHD: Applying CNNs on 360° Images with Non-Euclidean Spherical PolyHeDron Representation” by Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, and Kuk-Jin Yoon. [Publication Link]
SpherePHD: Applying CNNs on 360° Images with Non-Euclidean Spherical PolyHeDron Representation- Author : Yeonkun Lee, Jaeseok Jeong, Jongseob Yun, Wonjune Cho, and Kuk-Jin Yoon – Published Date : TBD – Category : 360° Vision – Place of publication : IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Abstract: Omni-directional images are becoming more prevalent for understanding…
We have two papers accepted to IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2020. The papers are “EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning” by Lin Wang , Tae-Kyun Kim, and Kuk-Jin Yoon, (poster) and “Learning to Super Resolve Intensity Images from Events” by S. Mohammad…
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning- Author : Lin Wang , Tae-Kyun Kim, and Kuk-Jin Yoon – Published Date : June 2020 – Category : Event Camera, Super Resolution – Place of publication : IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Abstract: Event cameras sense intensity changes…
Learning to Super Resolve Intensity Images from Events- Author : S. Mohammad Mostafavi I., Jonghyun Choi, and Kuk-Jin Yoon – Published Date : June 2020 – Category : Super Resolution, Event Camera – Place of publication : IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Abstract: An event camera detects per-pixel intensity difference and…