most citedSteganography for Neural Radiance Fields by Backdooring

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024

A Refer-and-Ground Multimodal Large Language Model for Biomedicine

Xiaoshuang Huang, Haifeng Huang, Lingdong Shen +4

With the rapid development of multimodal large language models (MLLMs), especially their capabilities in visual chat through refer and ground functionalities, their significance is…

q-bio.NC2024

The neural correlates of logical-mathematical symbol systems processing resemble that of spatial cognition more than natural language processing

Yuannan Li, Shan Xu, Jia Liu

The ability to manipulate logical-mathematical symbols (LMS), encompassing tasks such as calculation, reasoning, and programming, is a cognitive skill arguably unique to humans. Co…

cs.CR2023

MarkNerf:Watermarking for Neural Radiance Field

Lifeng Chen, Jia Liu, Yan Ke +3

A watermarking algorithm is proposed in this paper to address the copyright protection issue of implicit 3D models. The algorithm involves embedding watermarks into the images in t…

cs.CR20231 cited

Steganography for Neural Radiance Fields by Backdooring

Weina Dong, Jia Liu, Yan Ke +3

The utilization of implicit representation for visual data (such as images, videos, and 3D models) has recently gained significant attention in computer vision research. In this le…

eess.IV20231 cited

Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier

Zhixing Zhang, Ziwei Zhao, Dong Wang +4

Automatic labeling of coronary arteries is an essential task in the practical diagnosis process of cardiovascular diseases. For experienced radiologists, the anatomically predeterm…