Xu Cao 曹旭

Hi there! I am a Specially Appointed Assistant Professor (特任助教) in Computer Vision Lab. at Osaka University.

I received my Ph.D. (Apr. 2019 - Mar. 2022) from Osaka University under the supervision of Prof. Yasuyuki Matsushita. Before that, I received M.S. from Nagoya University in Mar. 2019 and B.S. from Nanjing University of Aeronautics and Astronautics (NUAA) in Jun. 2016.

My research interest includes 3D/physics-based vision but excludes deep learning applications. I am working on and looking for collaboration on (multiview) surface reconstruction using (neural) implicit representations. Feel free to email me if you are interested in working with me.

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"It can scarcely be denied that the supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience." (Albert Einstein, 1933)


Highlighted are my favorite works.

Bilateral Normal Integration
Xu Cao, Hiroaki Santo, Boxin Shi, Fumio Okura, Yasuyuki Matsushita
ECCV, 2022
PDF  |  code

Discontinuity preserving surface reconstruction from a single normal map, which works in orthographic and perspective cases, is robust to outliers, and only has one hyperparameter.

Shape and Albedo Recovery by Your Phone using Stereoscopic Flash and No-Flash Photography
Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, Fumio Okura, Yasuyuki Matsushita
IJCV, 2022
Normal Integration via Inverse Plane Fitting with Minimum Point-to-Plane Distance
Xu Cao, Boxin Shi, Fumio Okura, Yasuyuki Matsushita
CVPR, 2021
PDF  |  video  |  code

Plane fitting is useful for normal estimation; plane fitting is now useful for normal integration.

Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery
Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, Yasuyuki Matsushita
CVPR, 2020
PDF  |  video  |  code

Flashed stereo camera, recovered fine shapes.

PSNet: A Style Transfer Network for Point Cloud Stylization on Geometry and Color
Xu Cao, Weimin Wang, Katashi Nagao, Ryosuke Nakamura
WACV, 2020
PDF  |  code

Learnt features from PointNet can stylize point clouds.

Website adapted from Jon Barron.