1 code implementation • CVPR 2023 • Sang-Hun Han, Min-Gyu Park, Ju Hong Yoon, Ju-Mi Kang, Young-Jae Park, Hae-Gon Jeon
The low-resolution depth network predicts the global structure from a low-resolution image, and the part-wise image-to-normal network predicts the details of the 3D human body structure.
Ranked #8 on 3D Human Reconstruction on CustomHumans (using extra training data)
no code implementations • 13 May 2022 • Min-Gyu Park, Ju-Mi Kang, Je Woo Kim, Ju Hong Yoon
The first network predicts normal maps to recover geometric details such as wrinkles in the clothes and facial regions.
no code implementations • 14 Apr 2019 • Chang-Ryeol Lee, Ju Hong Yoon, Min-Gyu Park, Kuk-Jin Yoon
The rolling shutter camera has received great attention due to its low cost imaging capability, however, the estimation of relative pose between rolling shutter cameras still remains a difficult problem owing to its line-by-line image capturing characteristics.
no code implementations • CVPR 2016 • Ju Hong Yoon, Chang-Ryeol Lee, Ming-Hsuan Yang, Kuk-Jin Yoon
In addition, to further improve the robustness of data association against mis-detections and clutters, a novel event aggregation approach is developed to integrate structural constraints in assignment costs for online MOT.
Ranked #21 on Multiple Object Tracking on KITTI Tracking test