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]
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]
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]
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]
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…
We have one paper accepted to the International Conference on Robotics and Automation(ICRA). The paper is “Dynamic Anchor Selection for Improving Object Localization” by Pranjay Shyam, Kuk-Jin Yoon and Kyung-Soo Kim. [Publication Link]
We have one paper accepted to the IEEE Robotics and Automation Letters. The paper is “Deceiving Image-to-Image Translation Networks for Autonomous Driving with Adversarial Perturbations” by Lin Wang, Wonjune Cho and Kuk-Jin Yoon. [Publication Link]
We have one paper accepted to the 3D Vision. The paper is “Learning Depth from Endoscopic Images” by Ju-Hong Yoon, Kuk-Jin Yoon, and Min-Gyu Park. [Publication Link]