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Elena Sizikova

5 accepted papers

2023

Knowledge-based in silico models and dataset for the comparative evaluation of mammography AI for a range of breast characteristics, lesion conspicuities and doses

NeurIPS 2023poster

To generate evidence regarding the safety and efficacy of artificial intelligence (AI) enabled medical devices, AI models need to be evaluated on a diverse population of patient cases, some of which may not be readily available. We propose an evaluation approach for testing medical imaging AI models…

2023

Spatial-frequency channels, shape bias, and adversarial robustness

NeurIPS 2023oral

What spatial frequency information do humans and neural networks use to recognize objects? In neuroscience, critical band masking is an established tool that can reveal the frequency-selective filters used for object recognition. Critical band masking measures the sensitivity of recognition performa…

2023

THMA: Tencent HD Map AI System for Creating HD Map Annotations

AAAI 2023technical

Nowadays, autonomous vehicle technology is becoming more and more mature. Critical to progress and safety, high-definition (HD) maps, a type of centimeter-level map collected using a laser sensor, provide accurate descriptions of the surrounding environment. The key challenge of HD map production is…

Cited by 13SourcePDFScholar
2023

Vitasd: Robust Vision Transformer Baselines for Autism Spectrum Disorder Facial Diagnosis

ICASSP 2023accepted

Autism spectrum disorder (ASD) is a lifelong neurodevelopmental disorder with very high prevalence around the world. Research progress in the field of ASD facial analysis in pediatric patients has been hindered due to a lack of well-established baselines. In this paper, we propose the use of the Vis…

Cited by 0SourceScholar
2021

Large-Scale Unsupervised Object Discovery

NeurIPS 2021poster

Existing approaches to unsupervised object discovery (UOD) do not scale up to large datasets without approximations that compromise their performance. We propose a novel formulation of UOD as a ranking problem, amenable to the arsenal of distributed methods available for eigenvalue problems and link…