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20172026
most citedDimensionality Reduction using Similarity-induced Embeddings

37 citations · 73 across the 15 of their papers we have counts for

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cs.CV2026

MS-RFD: Multi-Signal Release Frame Detection in Hammer Throw from Reconstructed 3D Trajectories

Ahmed Endris Hasen, Nikolaos Passalis, Tomi Vanttinen +1

Recent advances in artificial intelligence and computer vision are reshaping sports performance analysis by enabling automated detection, tracking, and performance analysis. In ham…

cs.CV2025

Large Models in Dialogue for Active Perception and Anomaly Detection

Tzoulio Chamiti, Nikolaos Passalis, Anastasios Tefas

Autonomous aerial monitoring is an important task aimed at gathering information from areas that may not be easily accessible by humans. At the same time, this task often requires…

cs.CV2023

Deep Active Perception for Object Detection using Navigation Proposals

Stefanos Ginargiros, Nikolaos Passalis, Anastasios Tefas

Deep Learning (DL) has brought significant advances to robotics vision tasks. However, most existing DL methods have a major shortcoming, they rely on a static inference paradigm i…

cs.CV2022

A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields

Paraskevi Nousi, Emmanouil Mpampis, Nikolaos Passalis +2

In this paper we evaluate the impact of domain shift on human detection models trained on well known object detection datasets when deployed on data outside the distribution of the…

cs.CV2020

Heterogeneous Knowledge Distillation using Information Flow Modeling

Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas

Knowledge Distillation (KD) methods are capable of transferring the knowledge encoded in a large and complex teacher into a smaller and faster student. Early methods were usually l…

cs.CV2019

deepsing: Generating Sentiment-aware Visual Stories using Cross-modal Music Translation

Nikolaos Passalis, Stavros Doropoulos

In this paper we propose a deep learning method for performing attributed-based music-to-image translation. The proposed method is applied for synthesizing visual stories according…