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20172022
most citedDimensionality Reduction using Similarity-induced Embeddings

37 citations · 53 across the 8 of their papers we have counts for

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11 papers · 1 filter

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.CV20216 cited

Efficient training of lightweight neural networks using Online Self-Acquired Knowledge Distillation

Maria Tzelepi, Anastasios Tefas

Knowledge Distillation has been established as a highly promising approach for training compact and faster models by transferring knowledge from heavyweight and powerful models. Ho…

cs.CV20211 cited

Quadratic mutual information regularization in real-time deep CNN models

Maria Tzelepi, Anastasios Tefas

In this paper, regularized lightweight deep convolutional neural network models, capable of effectively operating in real-time on devices with restricted computational power for hi…

cs.CV2021

Semantic Scene Segmentation for Robotics Applications

Maria Tzelepi, Anastasios Tefas

Semantic scene segmentation plays a critical role in a wide range of robotics applications, e.g., autonomous navigation. These applications are accompanied by specific computationa…

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

Bag of Color Features For Color Constancy

Firas Laakom, Nikolaos Passalis, Jenni Raitoharju +4

In this paper, we propose a novel color constancy approach, called Bag of Color Features (BoCF), building upon Bag-of-Features pooling. The proposed method substantially reduces th…