687 citations · 855 across the 11 of their papers we have counts for
11 papers
CLRerNet: Improving Confidence of Lane Detection with LaneIoU
Hiroto Honda, Yusuke Uchida
Lane marker detection is a crucial component of the autonomous driving and driver assistance systems. Modern deep lane detection methods with row-based lane representation exhibit…
End-to-End Monocular Vanishing Point Detection Exploiting Lane Annotations
Hiroto Honda, Motoki Kimura, Takumi Karasawa +1
Vanishing points (VPs) play a vital role in various computer vision tasks, especially for recognizing the 3D scenes from an image. In the real-world scenario of automobile applicat…
Prediction of Lane Number Using Results From Lane Detection
Panumate Chetprayoon, Fumihiko Takahashi, Yusuke Uchida
The lane number that the vehicle is traveling in is a key factor in intelligent vehicle fields. Many lane detection algorithms were proposed and if we can perfectly detect the lane…
Leveraging Temporal Joint Depths for Improving 3D Human Pose Estimation in Video
Naoki Kato, Hiroto Honda, Yusuke Uchida
The effectiveness of the approaches to predict 3D poses from 2D poses estimated in each frame of a video has been demonstrated for 3D human pose estimation. However, 2D poses witho…
Improving Multi-Person Pose Estimation using Label Correction
Naoki Kato, Tianqi Li, Kohei Nishino +1
Significant attention is being paid to multi-person pose estimation methods recently, as there has been rapid progress in the field owing to convolutional neural networks. Especial…
Full-body High-resolution Anime Generation with Progressive Structure-conditional Generative Adversarial Networks
Koichi Hamada, Kentaro Tachibana, Tianqi Li +2
We propose Progressive Structure-conditional Generative Adversarial Networks (PSGAN), a new framework that can generate full-body and high-resolution character images based on stru…