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 cover a variety of issues in the field of computer vision and machine learning. Our research can be applied to various systems and machines such as autonomous cars, drones, medical diagnoses systems, and any other AI systems. If you are interested in computer vision and machine learning, please feel free to contact us.