activity
20182022
most citedInvertible Neural BRDF for Object Inverse Rendering

1 citations · 1 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CV2022

Fresnel Microfacet BRDF: Unification of Polari-Radiometric Surface-Body Reflection

Tomoki Ichikawa, Yoshiki Fukao, Shohei Nobuhara +1

Computer vision applications have heavily relied on the linear combination of Lambertian diffuse and microfacet specular reflection models for representing reflected radiance, whic…

cs.CV2022

ViewBirdiformer: Learning to recover ground-plane crowd trajectories and ego-motion from a single ego-centric view

Mai Nishimura, Shohei Nobuhara, Ko Nishino

We introduce a novel learning-based method for view birdification, the task of recovering ground-plane trajectories of pedestrians of a crowd and their observer in the same crowd j…

cs.CV2021

Structure of Multiple Mirror System from Kaleidoscopic Projections of Single 3D Point

Kosuke Takahashi, Shohei Nobuhara

This paper proposes a novel algorithm of discovering the structure of a kaleidoscopic imaging system that consists of multiple planar mirrors and a camera. The kaleidoscopic imagin…

cs.CV2020

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…

cs.CV20201 cited

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…

cs.CV2020

SOIC: Semantic Online Initialization and Calibration for LiDAR and Camera

Weimin Wang, Shohei Nobuhara, Ryosuke Nakamura +1

This paper presents a novel semantic-based online extrinsic calibration approach, SOIC (so, I see), for Light Detection and Ranging (LiDAR) and camera sensors. Previous online cali…