activity
20072023
most citedDistributed Cross-Layer Optimization in Wireless Networks: A Second-Order Approach

31 citations · 62 across the 18 of their papers we have counts for

collaborators

18 papers

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.CR2023★ 1 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…

cs.CV2023

Hierarchical Conditional Semi-Paired Image-to-Image Translation For Multi-Task Image Defect Correction On Shopping Websites

Moyan Li, Jinmiao Fu, Shaoyuan Xu +3

On shopping websites, product images of low quality negatively affect customer experience. Although there are plenty of work in detecting images with different defects, few efforts…

cs.CV2023

SwinV2DNet: Pyramid and Self-Supervision Compounded Feature Learning for Remote Sensing Images Change Detection

Dalong Zheng, Zebin Wu, Jia Liu +1

Among the current mainstream change detection networks, transformer is deficient in the ability to capture accurate low-level details, while convolutional neural network (CNN) is w…

eess.IV2023★ 1 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…

cs.LG2023★ 1 cited

AdaSelection: Accelerating Deep Learning Training through Data Subsampling

Minghe Zhang, Chaosheng Dong, Jinmiao Fu +8

In this paper, we introduce AdaSelection, an adaptive sub-sampling method to identify the most informative sub-samples within each minibatch to speed up the training of large-scale…