I am a postdoc researcher in Next Generation Artificial Intelligence Research Center at Graduate School of Information Science and Technology (IST), The University of Tokyo , supervised by Professor Yinqiang Zheng.
My research interests include computational imaging and generative AI.
Email: ji-xiang [at] ynl.t.u-tokyo.ac.jp
") does not match the recommended repository name for your site ("
").
", so that your site can be accessed directly at "http://
".
However, if the current repository name is intended, you can ignore this message by removing "{% include widgets/debug_repo_name.html %}
" in index.html
.
",
which does not match the baseurl
("
") configured in _config.yml
.
baseurl
in _config.yml
to "
".
Xiang Ji, Guixu Lin, Zhengwei Yin, Jiancheng Zhao, Yinqiang Zheng
In submission 2025
In this paper, we propose a unified framework to invert motion degradation and reenact imaging moment by jointly leveraging the complementary characteristics of GS blur and RS distortion.
Xiang Ji, Guixu Lin, Zhengwei Yin, Jiancheng Zhao, Yinqiang Zheng
In submission 2025
In this paper, we propose a unified framework to invert motion degradation and reenact imaging moment by jointly leveraging the complementary characteristics of GS blur and RS distortion.
Xiang Ji, Xxx Xxx, Yinqiang Zheng
Ongoing 2025
We present a new task of HDR photosequencing.
Xiang Ji, Xxx Xxx, Yinqiang Zheng
Ongoing 2025
We present a new task of HDR photosequencing.
Xiang Ji, Haiyang Jiang, Yinqiang Zheng
CVPR 2024
We proposed a novel cross-shutter setting for motion decomposition of a single blurry image, inspired by the complementary exposure characteristics of GS and RS cameras.
Xiang Ji, Haiyang Jiang, Yinqiang Zheng
CVPR 2024
We proposed a novel cross-shutter setting for motion decomposition of a single blurry image, inspired by the complementary exposure characteristics of GS and RS cameras.
Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng
ICCV 2023
We highlighted the effects of shutter mode induced degradations on the VFI task and proposed a generic model to interpolate middle clear frames at arbitrary times.
Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng
ICCV 2023
We highlighted the effects of shutter mode induced degradations on the VFI task and proposed a generic model to interpolate middle clear frames at arbitrary times.
Xiang Ji, Zhixiang Wang, Shin'ichi Satoh, Yinqiang Zheng
ICCV 2023
In this paper, we explore a novel in-between exposure mode, called global reset release (GRR) shutter, and propose a residual spatially-compensated and spectrally-enhanced Transformer (RSS-T) block for row-dependent deblurring of a single GRR image.
Xiang Ji, Zhixiang Wang, Shin'ichi Satoh, Yinqiang Zheng
ICCV 2023
In this paper, we explore a novel in-between exposure mode, called global reset release (GRR) shutter, and propose a residual spatially-compensated and spectrally-enhanced Transformer (RSS-T) block for row-dependent deblurring of a single GRR image.
Zhihang Zhong, Mingdeng Cao, Xiang Ji, Yinqiang Zheng, Imari Sato
CVPR 2023
We propose a blur interpolation transformer (BiT) to effectively unravel the underlying temporal correlation encoded in blur.
Zhihang Zhong, Mingdeng Cao, Xiang Ji, Yinqiang Zheng, Imari Sato
CVPR 2023
We propose a blur interpolation transformer (BiT) to effectively unravel the underlying temporal correlation encoded in blur.
Zhixiang Wang, Xiang Ji, Jia-Bin Huang, Shin'ichi Satoh, Xiao Zhou, Yinqiang Zheng
CVPR 2022
This paper first attempts to restore clean GS videos from the RS sensor with the widely ignored global reset feature.
Zhixiang Wang, Xiang Ji, Jia-Bin Huang, Shin'ichi Satoh, Xiao Zhou, Yinqiang Zheng
CVPR 2022
This paper first attempts to restore clean GS videos from the RS sensor with the widely ignored global reset feature.
Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang
ACL 2021 Oral
We present InferWiki, a Knowledge Graph Completion (KGC)dataset that improves upon existing benchmarks in inferential ability, assumptions, and patterns.
Yixin Cao, Xiang Ji, Xin Lv, Juanzi Li, Yonggang Wen, Hanwang Zhang
ACL 2021 Oral
We present InferWiki, a Knowledge Graph Completion (KGC)dataset that improves upon existing benchmarks in inferential ability, assumptions, and patterns.
|
|