2 code implementations • 15 May 2023 • Hiroto Honda, Yusuke Uchida
Lane marker detection is a crucial component of the autonomous driving and driver assistance systems.
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Lane Detection
on CULane
no code implementations • 31 Aug 2021 • Hiroto Honda, Motoki Kimura, Takumi Karasawa, Yusuke Uchida
Vanishing points (VPs) play a vital role in various computer vision tasks, especially for recognizing the 3D scenes from an image.
no code implementations • 4 Dec 2020 • Panumate Chetprayoon, Fumihiko Takahashi, Yusuke Uchida
The lane number that the vehicle is traveling in is a key factor in intelligent vehicle fields.
no code implementations • 4 Nov 2020 • 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.
no code implementations • 8 Nov 2018 • Naoki Kato, Tianqi Li, Kohei Nishino, Yusuke Uchida
If a model is trained with data including such missing labels, the output of the model for the location, even though it is correct, is penalized as a false positive, which is likely to cause negative effects on the performance of the model.
no code implementations • 6 Sep 2018 • Koichi Hamada, Kentaro Tachibana, Tianqi Li, Hiroto Honda, Yusuke Uchida
Our method tackles the limitations by progressively increasing the resolution of both generated images and structural conditions during training.
no code implementations • 6 Feb 2018 • Yuki Nagai, Yusuke Uchida, Shigeyuki Sakazawa, Shin'ichi Satoh
In this paper, we propose a digital watermarking technology for ownership authorization of deep neural networks.
1 code implementation • 15 Jan 2017 • Yusuke Uchida, Yuki Nagai, Shigeyuki Sakazawa, Shin'ichi Satoh
Secondly, we propose a general framework to embed a watermark into model parameters using a parameter regularizer.
no code implementations • 20 Oct 2016 • Yusuke Uchida, Shigeyuki Sakazawa, Shin'ichi Satoh
In this paper, we propose a stand-alone mobile visual search system based on binary features and the bag-of-visual words framework.
no code implementations • 27 Sep 2016 • Yusuke Uchida, Shigeyuki Sakazawa, Shin'ichi Satoh
Recently, the Fisher vector representation of local features has attracted much attention because of its effectiveness in both image classification and image retrieval.
no code implementations • 28 Jul 2016 • Yusuke Uchida
With the advances in both stable interest region detectors and robust and distinctive descriptors, local feature-based image or object retrieval has become a popular research topic.