activity
20182020
most citedSiCloPe: Silhouette-Based Clothed People

7 citations · 9 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2020

Do We Need Sound for Sound Source Localization?

Takashi Oya, Shohei Iwase, Ryota Natsume +3

During the performance of sound source localization which uses both visual and aural information, it presently remains unclear how much either image or sound modalities contribute…

cs.CV2020

MirrorNet: A Deep Bayesian Approach to Reflective 2D Pose Estimation from Human Images

Takayuki Nakatsuka, Kazuyoshi Yoshii, Yuki Koyama +3

This paper proposes a statistical approach to 2D pose estimation from human images. The main problems with the standard supervised approach, which is based on a deep recognition (i…

cs.CV20192 cited

What Do Adversarially Robust Models Look At?

Takahiro Itazuri, Yoshihiro Fukuhara, Hirokatsu Kataoka +1

In this paper, we address the open question: "What do adversarially robust models look at?" Recently, it has been reported in many works that there exists the trade-off between sta…

cs.CV2019

PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization

Shunsuke Saito, Zeng Huang, Ryota Natsume +3

We introduce Pixel-aligned Implicit Function (PIFu), a highly effective implicit representation that locally aligns pixels of 2D images with the global context of their correspondi…

cs.CV20197 cited

SiCloPe: Silhouette-Based Clothed People

Ryota Natsume, Shunsuke Saito, Zeng Huang +4

We introduce a new silhouette-based representation for modeling clothed human bodies using deep generative models. Our method can reconstruct a complete and textured 3D model of a…

cs.CV2018

Automatic Paper Summary Generation from Visual and Textual Information

Shintaro Yamamoto, Yoshihiro Fukuhara, Ryota Suzuki +2

Due to the recent boom in artificial intelligence (AI) research, including computer vision (CV), it has become impossible for researchers in these fields to keep up with the expone…