Zobrazeno 1 - 10
of 2 527
pro vyhledávání: '"ISHIKAWA, Hiroshi"'
Autor:
Choi, Minsuk, Ishikawa, Hiroshi
Decoding neural representations of visual stimuli from electroencephalography (EEG) offers valuable insights into brain activity and cognition. Recent advancements in deep learning have significantly enhanced the field of visual decoding of EEG, prim
Externí odkaz:
http://arxiv.org/abs/2409.05279
Publikováno v:
International Journal of Computer Vision 117, 142-158(2016)
We propose a novel segmentation method based on energy minimization of higher-order potentials. We introduce higher-order terms into the energy to incorporate prior knowledge on the shape of the segments. The terms encourage certain sets of pixels to
Externí odkaz:
http://arxiv.org/abs/2312.07860
Autor:
Momma, Yutaka, Wang, Weimin, Simo-Serra, Edgar, Iizuka, Satoshi, Nakamura, Ryosuke, Ishikawa, Hiroshi
We present a lightweight post-processing method to refine the semantic segmentation results of point cloud sequences. Most existing methods usually segment frame by frame and encounter the inherent ambiguity of the problem: based on a measurement in
Externí odkaz:
http://arxiv.org/abs/2212.00567