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]
The paper “Robust Online Multi-Object Tracking based on Tracklet Confidence and Online Discriminative Appearance Learning” by Seung-hwan Bae, and Kuk-Jin Yoon won the test-of-time paper award at Domestic Conference on 7th Korean Conference on Computer Vision (KCCV 2020). [Publication Link]
A Ph.D. graduate of Visual Intelligence Laboratory, Dr. Yeong-Jun Cho was appointed as an assistant professor at Chonnam National University in the department of software engineering.
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]
The paper “Event to HDR, Depth and Motion Images by Multi Task Learning” by S.Mohammad Mostafavi I., Jonghyun Choi, Kuk-Jin Yoon won the best paper award at Domestic Workshop on 3rd Korea Software Congress (KSC 2019).
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]