activity
20212025
most citedIntuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

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

collaborators

7 papers

cs.GR2025

Radiance Fields in XR: A Survey on How Radiance Fields are Envisioned and Addressed for XR Research

Ke Li, Mana Masuda, Susanne Schmidt +1

The development of radiance fields (RF), such as 3D Gaussian Splatting (3DGS) and Neural Radiance Fields (NeRF), has revolutionized interactive photorealistic view synthesis and pr…

cs.CV2024

E2GS: Event Enhanced Gaussian Splatting

Hiroyuki Deguchi, Mana Masuda, Takuya Nakabayashi +1

Event cameras, known for their high dynamic range, absence of motion blur, and low energy usage, have recently found a wide range of applications thanks to these attributes. In the…

cs.CV2024

Generalizable Neural Human Renderer

Mana Masuda, Jinhyung Park, Shun Iwase +2

While recent advancements in animatable human rendering have achieved remarkable results, they require test-time optimization for each subject which can be a significant limitation…

cs.CV2023★ 6 cited

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153

Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…

cs.CV2023

Event-based Camera Tracker by t NeRF

Mana Masuda, Yusuke Sekikawa, Hideo Saito

When a camera travels across a 3D world, only a fraction of pixel value changes; an event-based camera observes the change as sparse events. How can we utilize sparse events for ef…

cs.CV2023★ 1 cited

Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder

Mana Masuda, Ryo Hachiuma, Ryo Fujii +2

In this paper, we present an end-to-end unsupervised anomaly detection framework for 3D point clouds. To the best of our knowledge, this is the first work to tackle the anomaly det…

cs.CV2021

Neural Implicit Event Generator for Motion Tracking

Mana Masuda, Yusuke Sekikawa, Ryo Fujii +1

We present a novel framework of motion tracking from event data using implicit expression. Our framework use pre-trained event generation MLP named implicit event generator (IEG) a…