1 code implementation • 24 Aug 2023 • Zongyu Li, Ian Reyes, Homa Alemzadeh
However, runtime context inference is challenging since it requires timely and accurate detection of the interactions among the tools and objects in the surgical scene based on the segmentation of video data.
no code implementations • 12 May 2023 • Zongyu Li, Jason Hu, Xiaojian Xu, Liyue Shen, Jeffrey A. Fessler
Phase retrieval (PR) is a crucial problem in many imaging applications.
1 code implementation • 28 Feb 2023 • Kay Hutchinson, Zongyu Li, Ian Reyes, Homa Alemzadeh
We evaluate the performance of each stage of our method by comparing the results with the ground truth segmentation masks, the consensus context labels, and the gesture labels in the JIGSAWS dataset.
no code implementations • 23 Jan 2023 • Zongyu Li, Yuni Dewaraja, Jeff Fessler
Our Julia projector uses only ~5% of the memory of an existing Matlab-based projector.
1 code implementation • 19 Sep 2022 • Zongyu Li, Xiaobo Guo, Siwei Qiang
The notion of causality assumes a paramount position within the realm of human cognition.
1 code implementation • 1 Mar 2022 • Zongyu Li, Kay Hutchinson, Homa Alemzadeh
These Siamese networks also outperform gesture nonspecific task specific Siamese-CNN and Siamese-LSTM models for Suturing and Needle Passing.
no code implementations • 16 Oct 2021 • Ghania Fatima, Zongyu Li, Aakash Arora, Prabhu Babu
In this paper, we introduce a novel iterative algorithm for the problem of phase-retrieval where the measurements consist of only the magnitude of linear function of the unknown signal, and the noise in the measurements follow Poisson distribution.