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Forest Graph Convolutional Network for Surgical Action Triplet Recognition in Endoscopic Videos
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Computer vision in surgery: from potential to clinical value
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Why Deep Surgical Models Fail?: Revisiting Surgical Action Triplet Recognition through the Lens of Robustness
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AutoLaparo: A New Dataset of Integrated Multi-tasks for Image-guided Surgical Automation in Laparoscopic Hysterectomy
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Data Splits and Metrics for Method Benchmarking on Surgical Action Triplet Datasets
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CholecTriplet2021: A benchmark challenge for surgical action triplet recognition
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SIRNet: Fine-Grained Surgical Interaction Recognition
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MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection
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Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer
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Swin Transformer V2: Scaling Up Capacity and Resolution
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2020 CATARACTS Semantic Segmentation Challenge
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Comparative Validation of Machine Learning Algorithms for Surgical Workflow and Skill Analysis with the HeiChole Benchmark
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Rendezvous: Attention Mechanisms for the Recognition of Surgical Action Triplets in Endoscopic Videos
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Shallow Feature Matters for Weakly Supervised Object Localization
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Emerging Properties in Self-Supervised Vision Transformers
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The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods
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Learning Domain Adaptation with Model Calibration for Surgical Report Generation in Robotic Surgery
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Temporal Memory Relation Network for Workflow Recognition From Surgical Video
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MIcro-Surgical Anastomose Workflow recognition challenge report
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Trans-SVNet: Accurate Phase Recognition from Surgical Videos via Hybrid Embedding Aggregation Transformer
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QPIC: Query-Based Pairwise Human-Object Interaction Detection with Image-Wide Contextual Information
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End-to-End Human Object Interaction Detection with HOI Transformer
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OperA: Attention-Regularized Transformers for Surgical Phase Recognition
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Endoscopic Vision Challenge 2021
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Surgical Visual Domain Adaptation: Results from the MICCAI 2020 SurgVisDom Challenge
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Multi-task temporal convolutional networks for joint recognition of surgical phases and steps in gastric bypass procedures
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Is Space-Time Attention All You Need for Video Understanding?
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CholecSeg8k: A Semantic Segmentation Dataset for Laparoscopic Cholecystectomy Based on Cholec80
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Attention-Driven Dynamic Graph Convolutional Network for Multi-label Image Recognition
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Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge
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An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
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m2caiSeg: Semantic Segmentation of Laparoscopic Images using Convolutional Neural Networks
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Proposing novel methods for gynecologic surgical action recognition on laparoscopic videos
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Recognition of Instrument-Tissue Interactions in Endoscopic Videos via Action Triplets
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Heidelberg colorectal data set for surgical data science in the sensor operating room
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TeCNO: Surgical Phase Recognition with Multi-Stage Temporal Convolutional Networks
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MOT20: A benchmark for multi object tracking in crowded scenes
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Endoscopic Vision Challenge
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Assisted phase and step annotation for surgical videos
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2018 Robotic Scene Segmentation Challenge
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CAI4CAI: The Rise of Contextual Artificial Intelligence in Computer-Assisted Interventions
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Methods and open-source toolkit for analyzing and visualizing challenge results
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BIAS: Transparent reporting of biomedical image analysis challenges
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CaDIS: Cataract Dataset for Image Segmentation
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2017 Robotic Instrument Segmentation Challenge
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MOTS: Multi-Object Tracking and Segmentation
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CATARACTS: Challenge on automatic tool annotation for cataRACT surgery
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SlowFast Networks for Video Recognition
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Weakly supervised convolutional LSTM approach for tool tracking in laparoscopic videos
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Learning from a tiny dataset of manual annotations: a teacher/student approach for surgical phase recognition
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Learning Human-Object Interactions by Graph Parsing Neural Networks
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Toward a standard ontology of surgical process models
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Monitoring tool usage in surgery videos using boosted convolutional and recurrent neural networks
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Temporal coherence-based self-supervised learning for laparoscopic workflow analysis
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Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
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SV-RCNet: Workflow Recognition From Surgical Videos Using Recurrent Convolutional Network
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Tool Detection and Operative Skill Assessment in Surgical Videos Using Region-Based Convolutional Neural Networks
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Rethinking Spatiotemporal Feature Learning: Speed-Accuracy Trade-offs in Video Classification
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Attention is All you Need
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AVA: A Video Dataset of Spatio-Temporally Localized Atomic Visual Actions
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Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset
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Detecting and Recognizing Human-Object Interactions
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Learning to Detect Human-Object Interactions
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The TUM LapChole dataset for the M2CAI 2016 workflow challenge
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Learning Models for Actions and Person-Object Interactions with Transfer to Question Answering
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Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding
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The Cityscapes Dataset for Semantic Urban Scene Understanding
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Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs
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EndoNet: A Deep Architecture for Recognition Tasks on Laparoscopic Videos
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Deep Residual Learning for Image Recognition
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HICO: A Benchmark for Recognizing Human-Object Interactions in Images
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The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)
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Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
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LapOntoSPM: an ontology for laparoscopic surgeries and its application to surgical phase recognition
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Visual Semantic Role Labeling
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Automatic phase prediction from low-level surgical activities
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A Novel Performance Evaluation Methodology for Single-Target Trackers
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Learning Spatiotemporal Features with 3D Convolutional Networks
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Long-term recurrent convolutional networks for visual recognition and description
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ImageNet Large Scale Visual Recognition Challenge
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Knowledge-Driven Formalization of Laparoscopic Surgeries for Rule-Based Intraoperative Context-Aware Assistance
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Large-Scale Video Classification with Convolutional Neural Networks
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Two-Stream Convolutional Networks for Action Recognition in Videos
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Microsoft COCO: Common Objects in Context
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Surgical process modelling: a review
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UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
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Linking Top-Level Ontologies and Surgical Workflows
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Structured recording of intraoperative surgical workflows
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Towards automatic skill evaluation: Detection and segmentation of robot-assisted surgical motions
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Deliberate Perioperative Systems Design Improves Operating Room Throughput
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ENT-surgical workflow as an instrument to assess the efficiency of technological developments in medicine
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The 2005 PASCAL Visual Object Classes Challenge
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Instrument-tissue Interaction Quintuple Detection in Surgery Videos
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VisDrone-MOT2020: The Vision Meets Drone Multiple Object Tracking Challenge Results
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OR 2.0 Context-Aware Operating Theaters, Computer Assisted Robotic Endoscopy, Clinical Image-Based Procedures, and Skin Image Analysis
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Action Recognition in Realistic Sports Videos
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JHU-ISI Gesture and Skill Assessment Working Set ( JIGSAWS ) : A Surgical Activity Dataset for Human Motion Modeling
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Motif Discovery in OR Sensor Data with Application to Surgical Workflow Analysis and Activity Detection
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Recognition of the Surgeon's Motions During Endoscopic Operation by Statistics Based Algorithm and Neural Networks Based ANARX Models
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International Journal of Computer Vision manuscript No. (will be inserted by the editor) The PASCAL Visual Object Classes (VOC) Challenge
