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Found 15 papers, 1 papers with code
Weakly Semi-supervised Tool Detection in Minimally Invasive Surgery Videos
We further propose a co-occurrence loss, which considers a characteristic that some tool pairs often co-occur together in an image to leverage image-level labels.
Surgical tool classification and localization: results and methods from the MICCAI 2022 SurgToolLoc challenge
Unfortunately, obtaining the annotations needed to train machine learning models to identify and localize surgical tools is a difficult task.
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder
We propose a deep variational autoencoder-based unsupervised anomaly detection network adapted to the 3D point cloud and an anomaly score specifically for 3D point clouds.
Event-based Camera Tracker by $\nabla$t NeRF
To enable the computation of the temporal gradient of the scene, we augment NeRF's camera pose as a time function.
Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings
Recording surgery in operating rooms is an essential task for education and evaluation of medical treatment.
A Two-Block RNN-based Trajectory Prediction from Incomplete Trajectory
However, most works rely on a key assumption that each video is successfully preprocessed by detection and tracking algorithms and the complete observed trajectory is always available.
Neural Implicit Event Generator for Motion Tracking
Our framework use pre-trained event generation MLP named implicit event generator (IEG) and does motion tracking by updating its state (position and velocity) based on the difference between the observed event and generated event from the current state estimate.
RGB-D Image Inpainting Using Generative Adversarial Network with a Late Fusion Approach
We expand conventional image inpainting method to RGB-D image inpainting to jointly restore the texture and geometry of missing regions from a pair of RGB and depth images.
Audio-Visual Self-Supervised Terrain Type Discovery for Mobile Platforms
The ability to both recognize and discover terrain characteristics is an important function required for many autonomous ground robots such as social robots, assistive robots, autonomous vehicles, and ground exploration robots.
Deep Learning in Diabetic Foot Ulcers Detection: A Comprehensive Evaluation
DFUC2020 provided participants with a comprehensive dataset consisting of 2, 000 images for training and 2, 000 images for testing.
InpaintFusion: Incremental RGB-D Inpainting for 3D Scenes
We use the RGB-D information in a cost function for both the color and the geometric appearance to derive a global optimization for simultaneous inpainting of color and depth.
Incremental Class Discovery for Semantic Segmentation with RGBD Sensing
This work addresses the task of open world semantic segmentation using RGBD sensing to discover new semantic classes over time.
DetectFusion: Detecting and Segmenting Both Known and Unknown Dynamic Objects in Real-time SLAM
We present DetectFusion, an RGB-D SLAM system that runs in real-time and can robustly handle semantically known and unknown objects that can move dynamically in the scene.
EventNet: Asynchronous Recursive Event Processing
Event cameras are bio-inspired vision sensors that mimic retinas to asynchronously report per-pixel intensity changes rather than outputting an actual intensity image at regular intervals.
Fast and Accurate Semantic Mapping through Geometric-based Incremental Segmentation
We propose an efficient and scalable method for incrementally building a dense, semantically annotated 3D map in real-time.
