activity
20172025
most citedInvestigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems

24 citations · 40 across the 11 of their papers we have counts for

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6 papers · 1 filter

cs.CV2025

One Patient's Annotation is Another One's Initialization: Towards Zero-Shot Surgical Video Segmentation with Cross-Patient Initialization

Seyed Amir Mousavi, Utku Ozbulak, Francesca Tozzi +4

Video object segmentation is an emerging technology that is well-suited for real-time surgical video segmentation, offering valuable clinical assistance in the operating room by en…

cs.CV20251 cited

Color Flow Imaging Microscopy Improves Identification of Stress Sources of Protein Aggregates in Biopharmaceuticals

Michaela Cohrs, Shiwoo Koak, Yejin Lee +4

Protein-based therapeutics play a pivotal role in modern medicine targeting various diseases. Despite their therapeutic importance, these products can aggregate and form subvisible…

cs.CV20251 cited

Self-supervised Benchmark Lottery on ImageNet: Do Marginal Improvements Translate to Improvements on Similar Datasets?

Utku Ozbulak, Esla Timothy Anzaku, Solha Kang +2

Machine learning (ML) research strongly relies on benchmarks in order to determine the relative effectiveness of newly proposed models. Recently, a number of prominent research eff…

cs.CV2024

The Impact of the Single-Label Assumption in Image Recognition Benchmarking

Esla Timothy Anzaku, Seyed Amir Mousavi, Arnout Van Messem +1

Deep neural networks (DNNs) are typically evaluated under the assumption that each image has a single correct label. However, many images in benchmarks like ImageNet contain multip…

cs.CV202124 cited

Investigating the significance of adversarial attacks and their relation to interpretability for radar-based human activity recognition systems

Utku Ozbulak, Baptist Vandersmissen, Azarakhsh Jalalvand +3

Given their substantial success in addressing a wide range of computer vision challenges, Convolutional Neural Networks (CNNs) are increasingly being used in smart home application…

cs.CV2018

Web Applicable Computer-aided Diagnosis of Glaucoma Using Deep Learning

Mijung Kim, Olivier Janssens, Ho-min Park +3

Glaucoma is a major eye disease, leading to vision loss in the absence of proper medical treatment. Current diagnosis of glaucoma is performed by ophthalmologists who are often ana…