6 citations · 12 across the 7 of their papers we have counts for
9 papers
Differential Viewpoints for Ground Terrain Material Recognition
Jia Xue, Hang Zhang, Ko Nishino +1
Computational surface modeling that underlies material recognition has transitioned from reflectance modeling using in-lab controlled radiometric measurements to image-based repres…
Video Region Annotation with Sparse Bounding Boxes
Yuzheng Xu, Yang Wu, Nur Sabrina binti Zuraimi +2
Video analysis has been moving towards more detailed interpretation (e.g. segmentation) with encouraging progresses. These tasks, however, increasingly rely on densely annotated tr…
Invertible Neural BRDF for Object Inverse Rendering
Zhe Chen, Shohei Nobuhara, Ko Nishino
We introduce a novel neural network-based BRDF model and a Bayesian framework for object inverse rendering, i.e., joint estimation of reflectance and natural illumination from a si…
3D-GMNet: Single-View 3D Shape Recovery as A Gaussian Mixture
Kohei Yamashita, Shohei Nobuhara, Ko Nishino
In this paper, we introduce 3D-GMNet, a deep neural network for 3D object shape reconstruction from a single image. As the name suggests, 3D-GMNet recovers 3D shape as a Gaussian m…
Appearance and Shape from Water Reflection
Ryo Kawahara, Meng-Yu Jennifer Kuo, Shohei Nobuhara +1
This paper introduces single-image geometric and appearance reconstruction from water reflection photography, i.e., images capturing direct and water-reflected real-world scenes. W…
Recognizing Material Properties from Images
Gabriel Schwartz, Ko Nishino
Humans rely on properties of the materials that make up objects to guide our interactions with them. Grasping smooth materials, for example, requires care, and softness is an ideal…