Search Results for author:
Found 7 papers, 4 papers with code
Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference
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.
Poisson-Gaussian Holographic Phase Retrieval with Score-based Image Prior
Phase retrieval (PR) is a crucial problem in many imaging applications.
Towards Surgical Context Inference and Translation to Gestures
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.
Training End-to-End Unrolled Iterative Neural Networks for SPECT Image Reconstruction
Our Julia projector uses only ~5% of the memory of an existing Matlab-based projector.
A Survey of Deep Causal Models and Their Industrial Applications
The notion of causality assumes a paramount position within the realm of human cognition.
Runtime Detection of Executional Errors in Robot-Assisted Surgery
These Siamese networks also outperform gesture nonspecific task specific Siamese-CNN and Siamese-LSTM models for Suturing and Needle Passing.
PDMM: A novel Primal-Dual Majorization-Minimization algorithm for Poisson Phase-Retrieval problem
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.
