Search Results for author:
Found 13 papers, 9 papers with code
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation
We apply contrastive learning to enhance the discriminative power of the multi-scale features extracted by semantic segmentation networks.
Deep iterative vessel segmentation in OCT angiography
This paper addresses retinal vessel segmentation on optical coherence tomography angiography (OCT-A) images of the human retina.
Effective semantic segmentation in Cataract Surgery: What matters most?
Our work proposes neural network design choices that set the state-of-the-art on a challenging public benchmark on cataract surgery, CaDIS.
Ranked #1 on
2D Semantic Segmentation task 1 (8 classes)
on CaDIS
2D Semantic Segmentation task 1 (8 classes)
2D Semantic Segmentation task 2 (17 classes)
+2
Oflib: Facilitating Operations with and on Optical Flow Fields in Python
We present a robust theoretical framework for the characterisation and manipulation of optical flow, i. e 2D vector fields, in the context of their use in motion estimation algorithms and beyond.
Rethinking Low-quality Optical Flow in Unsupervised Surgical Instrument Segmentation
Video-based surgical instrument segmentation plays an important role in robot-assisted surgeries.
Corner-Based Geometric Calibration of Multi-Focus Plenoptic Cameras
We propose a method for geometric calibration of multi-focus plenoptic cameras using raw images.
Deep Homography Estimation in Dynamic Surgical Scenes for Laparoscopic Camera Motion Extraction
We perform an extensive evaluation of state-of-the-art (SOTA) Deep Neural Networks (DNNs) across multiple compute regimes, finding our method transfers from our camera motion free da Vinci surgery dataset to videos of laparoscopic interventions, outperforming classical homography estimation approaches in both, precision by 41%, and runtime on a CPU by 43%.
Homography-based Visual Servoing with Remote Center of Motion for Semi-autonomous Robotic Endoscope Manipulation
Our approach allows a surgeon to build a graph of desired views, from which, once built, views can be manually selected and automatically servoed to irrespective of robot-patient frame transformation changes.
Deep Homography Prediction for Endoscopic Camera Motion Imitation Learning
In this work, we investigate laparoscopic camera motion automation through imitation learning from retrospective videos of laparoscopic interventions.
2020 CATARACTS Semantic Segmentation Challenge
In 2020, we released pixel-wise semantic annotations for anatomy and instruments for 4670 images sampled from 25 videos of the CATARACTS training set.
ROS-PyBullet Interface: A Framework for Reliable Contact Simulation and Human-Robot Interaction
However, there is a lack of software connecting reliable contact simulation with the larger robotics ecosystem (i. e. ROS, Orocos), for a more seamless application of novel approaches, found in the literature, to existing robotic hardware.
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks
We train models for these tasks in a zero-shot cross-modal transfer setting, a domain where the previous state-of-the-art method relied on the fixed scale noise injection, often compromising the semantic content of the original modality embedding.
RetiGen: A Framework for Generalized Retinal Diagnosis Using Multi-View Fundus Images
This study introduces a novel framework for enhancing domain generalization in medical imaging, specifically focusing on utilizing unlabelled multi-view colour fundus photographs.
