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20172025
most citedFrom Bayesian Sparsity to Gated Recurrent Nets

22 citations · 40 across the 14 of their papers we have counts for

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cs.CV2025

PerFace: Metric Learning in Perceptual Facial Similarity for Enhanced Face Anonymization

Haruka Kumagai, Leslie Wöhler, Satoshi Ikehata +1

In response to rising societal awareness of privacy concerns, face anonymization techniques have advanced, including the emergence of face-swapping methods that replace one identit…

cs.CV2024

Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition

Satoshi Ikehata, Yuta Asano

In this paper, we present a groundbreaking spectrally multiplexed photometric stereo approach for recovering surface normals of dynamic surfaces without the need for calibrated lig…

cs.CV2024

MERLiN: Single-Shot Material Estimation and Relighting for Photometric Stereo

Ashish Tiwari, Satoshi Ikehata, Shanmuganathan Raman

Photometric stereo typically demands intricate data acquisition setups involving multiple light sources to recover surface normals accurately. In this paper, we propose MERLiN, an…

cs.CV2024

Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes

Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa

Recent advancements in the study of Neural Radiance Fields (NeRF) for dynamic scenes often involve explicit modeling of scene dynamics. However, this approach faces challenges in m…

cs.CV20231 cited

Scalable, Detailed and Mask-Free Universal Photometric Stereo

Satoshi Ikehata

In this paper, we introduce SDM-UniPS, a groundbreaking Scalable, Detailed, Mask-free, and Universal Photometric Stereo network. Our approach can recover astonishingly intricate su…

cs.CV2022

Non-uniform Sampling Strategies for NeRF on 360{\textdegree} images

Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa

In recent years, the performance of novel view synthesis using perspective images has dramatically improved with the advent of neural radiance fields (NeRF). This study proposes tw…