activity
20212025
most citedTowards Holistic Surgical Scene Understanding

53 citations · 105 across the 8 of their papers we have counts for

collaborators

8 papers

cs.CV2025★ 4 cited

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

Tobias Rueckert, David Rauber, Raphaela Maerkl +58

Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…

cs.CV2024

MuST: Multi-Scale Transformers for Surgical Phase Recognition

Alejandra Pérez, Santiago Rodríguez, Nicolás Ayobi +3

Phase recognition in surgical videos is crucial for enhancing computer-aided surgical systems as it enables automated understanding of sequential procedural stages. Existing method…

cs.CV2024★ 11 cited

SAR-RARP50: Segmentation of surgical instrumentation and Action Recognition on Robot-Assisted Radical Prostatectomy Challenge

Dimitrios Psychogyios, Emanuele Colleoni, Beatrice Van Amsterdam +47

Surgical tool segmentation and action recognition are fundamental building blocks in many computer-assisted intervention applications, ranging from surgical skills assessment to de…

cs.CV2024★ 4 cited

Pixel-Wise Recognition for Holistic Surgical Scene Understanding

Nicolás Ayobi, Santiago Rodríguez, Alejandra Pérez +8

This paper presents the Holistic and Multi-Granular Surgical Scene Understanding of Prostatectomies (GraSP) dataset, a curated benchmark that models surgical scene understanding as…

cs.CV2023★ 5 cited

STRIDE: Street View-based Environmental Feature Detection and Pedestrian Collision Prediction

Cristina González, Nicolás Ayobi, Felipe Escallón +8

This paper introduces a novel benchmark to study the impact and relationship of built environment elements on pedestrian collision prediction, intending to enhance environmental aw…

cs.CV2023★ 28 cited

MATIS: Masked-Attention Transformers for Surgical Instrument Segmentation

Nicolás Ayobi, Alejandra Pérez-Rondón, Santiago Rodríguez +1

We propose Masked-Attention Transformers for Surgical Instrument Segmentation (MATIS), a two-stage, fully transformer-based method that leverages modern pixel-wise attention mechan…

cs.CV2022★ 53 cited

Towards Holistic Surgical Scene Understanding

Natalia Valderrama, Paola Ruiz Puentes, Isabela Hernández +6

Most benchmarks for studying surgical interventions focus on a specific challenge instead of leveraging the intrinsic complementarity among different tasks. In this work, we presen…

cs.CV2021

Panoptic Narrative Grounding

C. González, N. Ayobi, I. Hernández +3

This paper proposes Panoptic Narrative Grounding, a spatially fine and general formulation of the natural language visual grounding problem. We establish an experimental framework…