activity
20202024
most citedDnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval

37 citations · 95 across the 11 of their papers we have counts for

collaborators

11 papers

cs.CV2024

Towards Optimal Trade-offs in Knowledge Distillation for CNNs and Vision Transformers at the Edge

John Violos, Symeon Papadopoulos, Ioannis Kompatsiaris

This paper discusses four facets of the Knowledge Distillation (KD) process for Convolutional Neural Networks (CNNs) and Vision Transformer (ViT) architectures, particularly when e…

cs.CV2024

Sum of Group Error Differences: A Critical Examination of Bias Evaluation in Biometric Verification and a Dual-Metric Measure

Alaa Elobaid, Nathan Ramoly, Lara Younes +3

Biometric Verification (BV) systems often exhibit accuracy disparities across different demographic groups, leading to biases in BV applications. Assessing and quantifying these bi…

q-bio.NC2023

Neural Crystals

Sofia Karamintziou, Thanassis Mavropoulos, Dimos Ntioudis +4

We face up to the challenge of explainability in Multimodal Artificial Intelligence (MMAI). At the nexus of neuroscience-inspired and quantum computing, interpretable and transpare…

cs.CV2023★ 18 cited

Improving Synthetically Generated Image Detection in Cross-Concept Settings

Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris +1

New advancements for the detection of synthetic images are critical for fighting disinformation, as the capabilities of generative AI models continuously evolve and can lead to hyp…

cs.CV2023

Self-Supervised Video Similarity Learning

Giorgos Kordopatis-Zilos, Giorgos Tolias, Christos Tzelepis +3

We introduce SVS, a video similarity learning approach with self-supervision. Self-Supervised Learning (SSL) is typically used to train deep models on a proxy task so as to hav…

eess.AS2023★ 5 cited

Multilingual Alzheimer's Dementia Recognition through Spontaneous Speech: a Signal Processing Grand Challenge

Saturnino Luz, Fasih Haider, Davida Fromm +3

This Signal Processing Grand Challenge (SPGC) targets a difficult automatic prediction problem of societal and medical relevance, namely, the detection of Alzheimer's Dementia (AD)…