Klaus Schoeffmann

Toward Abstraction-Level Event Retrieval in Large Video Collections: Leveraging Human Knowledge and LLM-Based Reasoning in the Ho Chi Minh City AI Challenge 2025

Trong-Le Do, Viet-Tham Huynh, Hai-Dang Nguyen, Thuc Nguyen-Quang et autres

vn, ie, no (code pays fourni par la source)

LSC'26 Chairs' Welcome

Allie Tran, Werner Bailer, Duc Tien Dang Nguyen, GRAHAM HEALY et autres

lifeXplore 2026 - Lifelog Retrieval with Multilingual Vision-Language Encoders

Mario Leopold, Farzad Tashtarian, Klaus Schoeffmann

The Lifelog Search Challenge (LSC) is a yearly competition in which interactive retrieval systems are benchmarked on a large-scale lifelog dataset. In this paper, we present the newest iteration of lifeXplore for LSC’26, which builds upon our previous system and integrates embedding-based …

at (code pays fourni par la source)

Introduction to the 9th Annual Lifelog Search Challenge, LSC'26

Ly-Duyen Tran, Werner Bailer, Duc‐Tien Dang‐Nguyen, Graham F. Healy et autres

The ACM Lifelog Search Challenge (LSC) is an annual comparative benchmarking exercise that brings together researchers in the field of multimedia retrieval to evaluate interactive search systems using a large-scale multimodal lifelog dataset. This paper presents an overview of the ninth edition …

ie, at, no, gb, is, nl, vn (code pays fourni par la source)

SAM-FED: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation

Sahar Nasirihaghighi, Negin Ghamsarian, Yiping Li, Marcel Breeuwer et autres

Medical image segmentation is clinically important, yet data privacy and the cost of expert annotation limit the availability of labeled data. Federated semi-supervised learning (FSSL) offers a solution but faces two challenges: pseudo-label reliability depends on the strength of local models, and …

at, ca, nl (code pays fourni par la source)

In-Service Wind Turbine Blade Inspection: A Multi-UAV Architecture Design and Preliminary Validation

Mario Leopold, Klaus Schoeffmann, Farzad Tashtarian

at (code pays fourni par la source)

The CASTLE 2024 Dataset: Advancing the Art of Multimodal Understanding

Luca Rossetto, Werner Bailer, Duc‐Tien Dang‐Nguyen, Graham F. Healy et autres

Egocentric video has seen increased interest in recent years, as it is used in a range of areas. However, most existing datasets are limited to a single perspective. In this paper, we present the CASTLE 2024 dataset, a multimodal collection containing ego- …

ie, at, no, is, nl, ch, vn (code pays fourni par la source)

diveXplore - An Open-Source Software for Modern Video Retrieval with Image/Text Embeddings

Mario Leopold, Farzad Tashtarian, Klaus Schoeffmann

at (code pays fourni par la source)

Overview of the First CASTLE Grand Challenge at ACM Multimedia 2025

Luca Rossetto, Werner Bailer, Cathal G. Gurrin, Klaus Schoeffmann et autres

The inaugural edition of the CASTLE grand challenge was held at ACM Multimedia 2025. The focus of the CASTLE challenge is to advance the state-of-the-art in analysis and understanding of multimodal data, especially centered around multistream ego- and exo-centric video. In this …

ie, at, no (code pays fourni par la source)

Depth-Enabled Inspection of Medical Videos

Hadi Amirpour, Doris Putzgruber-Adamitsch, Klaus Schoeffmann

Cataract surgery is the most frequently performed surgical procedure worldwide, involving the replacement of a patient's clouded eye lens with a synthetic intraocular lens to restore visual acuity. Although typically brief, the operation consists of distinct phases that demand precision and extensive …

at (code pays fourni par la source)

WetCat: Enabling Automated Skill Assessment in Wet-Lab Cataract Surgery Videos

Negin Ghamsarian, Raphael Sznitman, Klaus Schoeffmann, Jens Kowal

To meet the growing demand for systematic surgical training, wet-lab environments have become indispensable platforms for hands-on practice in ophthalmology. Yet, traditional wet-lab training depends heavily on manual performance evaluations, which are labor-intensive, time-consuming, and often subject to variability. Recent advances in …

ch, at (code pays fourni par la source)

GynSurg: A Comprehensive Gynecology Laparoscopic Surgery Dataset

Sahar Nasirihaghighi, Negin Ghamsarian, Leonie Peschek, Matteo Munari et autres

Recent advances in deep learning have transformed computer-assisted intervention and surgical video analysis, driving improvements not only in surgical training, intraoperative decision support, and patient outcomes, but also in postoperative documentation and surgical discovery. Central to these developments is the availability of …

at, ch (code pays fourni par la source)