activity
20202026
most citedRobust Medical Instrument Segmentation Challenge 2019

33 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2026

LEVANTE-bench: Multi-Scale Comparison of VLMs to Children Using Cognitive Tasks (or, "Is Your VLM Smarter Than a 5th Grader?")

Alvin Wei Ming Tan, David Cardinal, Tania Lorido-Botran +3

Given the inherently multimodal nature of human experience, vision-language models (VLMs) hold substantial promise for modeling human cognition as it grows and develops with experi…

cs.CV2026

Anny-Fit: All-Age Human Mesh Recovery

Laura Bravo-Sánchez, Matthieu Armando, Romain Brégier +3

Recovering 3D human pose and shape from a single image remains a cornerstone of human-centric vision, yet most methods assume adult subjects and optimize each person independently.…

cs.CV2025

Human Mesh Modeling for Anny Body

Romain Brégier, Guénolé Fiche, Laura Bravo-Sánchez +5

Parametric body models provide the structural basis for many human-centric tasks, yet existing models often rely on costly 3D scans and learned shape spaces that are proprietary an…

cs.CV2025

MicroVQA: A Multimodal Reasoning Benchmark for Microscopy-Based Scientific Research

James Burgess, Jeffrey J Nirschl, Laura Bravo-Sánchez +20

Scientific research demands sophisticated reasoning over multimodal data, a challenge especially prevalent in biology. Despite recent advances in multimodal large language models (…

cs.CV2020★ 33 cited

Robust Medical Instrument Segmentation Challenge 2019

Tobias Ross, Annika Reinke, Peter M. Full +47

Intraoperative tracking of laparoscopic instruments is often a prerequisite for computer and robotic-assisted interventions. While numerous methods for detecting, segmenting and tr…