Open Deep Learning Toolkit for Robotics

Risultati finali

Third report on deep environment active perception and cognition

Final report on deep environment active perception and cognition

Second report on deep human centric active perception and cognition
1st Project Press Release
First report on deep robot action and decision making
Second report on deep environment active perception and cognition
First report on deep environment active perception and cognition
Second report on deep robot action and decision making
Third report on deep robot action and decision making
Second report on dissemination, exploitation plans and project newsletter

Second report on dissemination exploitation plans and project newsletter

Final publishable activity report of OpenDR
Third report on dissemination, exploitation plans and project newsletter

Third report on dissemination exploitation plans and project newsletter

First report on deep human centric active perception and cognition
Third report on deep human centric active perception and cognition
Final report on deep robot action and decision making
Final report on dissemination, exploitation plans and project newsletter
Final report on deep human centric active perception and cognition

Third report on deep human centric active perception and cognition

First report on dissemination, exploitation plans and project newsletter
Final report on deep environment active perception and cognition

Integration and experimental demonstration of the OpenDR toolkit in the specific use cases

First public version of the OpenDR toolkit
Final public version of the OpenDR toolkit
Intermediate public version of the OpenDR toolkit

Website development and setup of social accounts
Factsheet and project presentation
OpenDR video presentation

Pubblicazioni

Analysis of voxel-based 3D object detection methods efficiency for real-time embedded systems

Autori: Illia Oleksiienko, Alexandros Iosifidis
Pubblicato in: 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2021, Pagina/e 59-64, ISBN 978-1-6654-1559-0
Editore: IEEE
DOI: 10.1109/icetci51973.2021.9574075

Variational Neural Networks

Autori: Illia Oleksiienko, Dat Thanh Tran and Alexandros Iosifidis
Pubblicato in: International Joint Conference on Neural Networks Workshop - Procedia Computer Science, 2023
Editore: Elsevier
DOI: 10.1016/j.procs.2023.08.148

Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting

Autori: N.Dorka, T. Welschehold, W.Burgard
Pubblicato in: 2023 International Conference on Learning Representations, 2023
Editore: ICLR

CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps

Autori: Cattaneo, Daniele; Sorrenti, Domenico Giorgio; Valada, Abhinav
Pubblicato in: IEEE International Conference on Robotics and Automation (ICRA) Workshop on Emerging Learning and Algorithmic Methods for Data Association in Robotics, 2020
Editore: IEEE

Heterogeneous Knowledge Distillation Using Information Flow Modeling

Autori: Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
Pubblicato in: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Pagina/e 2336-2345, ISBN 978-1-7281-7168-5
Editore: IEEE
DOI: 10.1109/cvpr42600.2020.00241

Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation

Autori: Maria Tzelepi, Anastasios Tefas
Pubblicato in: 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021, Pagina/e 1-6, ISBN 978-1-6654-3864-3
Editore: IEEE
DOI: 10.1109/icme51207.2021.9428147

Automatic Dataset Generation From CAD for Vision-Based Grasping

Autori: Saad Ahmad, Kulunu Samarawickrama, Esa Rahtu and Roel Pieters
Pubblicato in: 20th International Conference on Advanced Robotics, 2021
Editore: IEEE

Inclined Quadrotor Landing using Deep Reinforcement Learning

Autori: Jacob E. Kooi, and Robert Babuska
Pubblicato in: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Editore: IEEE

Semantic Scene Segmentation for Robotics Applications

Autori: M. Tzelepi and A. Tefas
Pubblicato in: 12th International Conference on Information,Intelligence, Systems and Applications (IISA),, Numero 12-14 July 2021, 2021
Editore: IEEE

Learning to ignore: rethinking attention in CNNs

Autori: Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
Pubblicato in: British Machine Vision Conference, 2021
Editore: arXiv

Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning

Autori: P. Tosidis, N. Passalis and A. Tefas
Pubblicato in: 2022 30th European Signal Processing Conference (EUSIPCO), 2022, 2022
Editore: EURASIP

Leveraging Active Perception for Improving Embedding-based Deep Face Recognition

Autori: Nikolaos Passalis, Anastasios Tefas
Pubblicato in: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020, Pagina/e 1-6, ISBN 978-1-7281-9320-5
Editore: IEEE
DOI: 10.1109/mmsp48831.2020.9287085

Self-attention Neural Bag-of-Features

Autori: Kateryna Chumachenko, Alexandros Iosifidis and Moncef Gabbouj
Pubblicato in: IEEE International Workshop on Machine Learning for Signal Processing, 2022
Editore: IEEE

A UAV Video Data Generation Framework for Improved Robustness of UAV Detection Methods

Autori: C. Symeonidis, C. Anastasiadis, N. Nikolaidis
Pubblicato in: IEEE International Workshop on Multimedia Signal Processing (MMSP), 2022, 2022
Editore: IEEE

DeepKoCo: Efficient latent planning with a robust Koopman representation

Autori: van der Heijden, Bas; Ferranti, Laura; Kober, Jens; Babuska, Robert
Pubblicato in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Numero 1, 2021
Editore: IEEE

Deep Reinforcement Learning with Action Masking for Differential-Drive Robot Navigation using Low-cost Sensors

Autori: Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, and Anastasios Tefas.
Pubblicato in: IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Editore: IEEE

Auth-Persons: A Dataset for Detecting Humans in Crowds from Aerial Views

Autori: C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis
Pubblicato in: IEEE International Conference on Image Processing (ICIP), 2022, 2022
Editore: IEEE
DOI: 10.1109/icip46576.2022.9897612

Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization

Autori: C. Symeonidis and P. Nousi and P. Tosidis and K. Tsampazis and N. Passalis and A.Tefas and N. Nikolaidis
Pubblicato in: International Conference on Engineering Applications ofNeural Networks (EANN), 2021, Numero 25 – 27 June, 2021, 2021
Editore: Springer

Improving binary semantic scene segmentation for robotics applications

Autori: M. Tzelepi, N. Tragkas, and A. Tefas
Pubblicato in: International Conference on Engineering Applications of Neural Networks, 2022
Editore: Springer
DOI: 10.1007/978-3-031-08223-8

Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch

Autori: Lukas Hedegaard and Alexandros Iosifidis
Pubblicato in: International Workshop on Computational Aspects of Deep Learning (ECCV Workshops), 2022
Editore: arXiv
DOI: 10.48550/arxiv.2204.03418

Active Face Recognition Through View Synthesis

Autori: Efstratios Kakaletsis, Nikos Nikolaidis
Pubblicato in: European Signal Processing Conference (EUSIPCO), Numero 04-08 September 2023, 2023, ISBN 978-9-4645-9360-0
Editore: IEEE
DOI: 10.23919/eusipco58844.2023.10290036

Temporal Difference Rewards for End-to-end Vision-based Active Robot Tracking using Deep Reinforcement Learning

Autori: P. Tiritiris, N. Passalis and A. Tefas
Pubblicato in: International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2021, Numero 25-27 August 2021, 2021
Editore: IEEE

CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation

Autori: Vödisch, Niclas; Petek, Kürsat; Burgard, Wolfram; Valada, Abhinav
Pubblicato in: Robotics: Science and Systems, 2023
Editore: RSS
DOI: 10.48550/arxiv.2303.10147

Real-time synthetic-to-real human detection for robotics applications

Autori: M. Tzelepi, C. Symeonidis, N. Nikolaidis and A. Tefas
Pubblicato in: IEEE 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022
Editore: IEEE

Layer Ensembles

Autori: Illia Oleksiienko and Alexandros Iosifidis
Pubblicato in: IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Editore: IEEE
DOI: 10.1109/mlsp55844.2023.10286005

Prioritizing States with Action Sensitive Return in Experience Replay

Autori: A. Keijzer, B. van der Heijden, and J. Kober
Pubblicato in: 2023
Editore: EWRL

Multilayer Online Self-Acquired Knowledge Distillation

Autori: M. Tzelepi, C. Symeonidis, N. Nikolaidis and A. Tefas
Pubblicato in: IEEE 26th International Conference on Pattern Recognition (ICPR), 2022, 2022
Editore: IEEE

EValueAction: a proposal for policy evaluation in simulation to support interactive imitation learning

Autori: F. Sibona, J. Luijkx, B. van der Heijden, L. Ferranti, and M. Indri
Pubblicato in: IEEE 21st International Conference on Industrial Informatics (INDIN), 2023
Editore: IEEE
DOI: 10.1109/indin51400.2023.10218251

Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits

Autori: Nikolaos Passalis, Jenni Raitoharju, Moncef Gabbouj, Anastasios Tefas
Pubblicato in: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020, Pagina/e 1-6, ISBN 978-1-7281-9320-5
Editore: IEEE
DOI: 10.1109/mmsp48831.2020.9287150

MOPT: Multi-Object Panoptic Tracking

Autori: Hurtado, Juana Valeria; Mohan, Rohit; Burgard, Wolfram; Valada, Abhinav
Pubblicato in: The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Scalability in Autonomous Driving, 2020
Editore: IEEE

Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network

Autori: Kristoffer Fogh Andersen, Huy Xuan Pham, Halil Ibrahim Ugurlu and Erdal Kayacan
Pubblicato in: European Control Conference (ECC), 2022
Editore: IEEE
DOI: 10.23919/ecc55457.2022.9838538

Subset Sampling for Progressive Neural Network Learning

Autori: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Pubblicato in: 2020 IEEE International Conference on Image Processing (ICIP), 2020, Pagina/e 713-717, ISBN 978-1-7281-6395-6
Editore: IEEE
DOI: 10.1109/icip40778.2020.9191270

Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement

Autori: N. Passalis and A. Tefas
Pubblicato in: 2021 IEEE International Conference on Image Processing, Numero 19-22 September 2021, 2021
Editore: IEEE

Supervised Domain Adaptation using Graph Embedding

Autori: Morsing, Lukas Hedegaard; Sheikh-Omar, Omar Ali; Iosifidis, Alexandros
Pubblicato in: 25th International Conference on Pattern Recognition, Numero 10-15 January 2021, 2021
Editore: IEEE

On the spatial attention in spatio-temporal graph convolutional networks for skeleton-based human action recognition

Autori: Negar Heidari, Alexandros Iosifidis
Pubblicato in: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Pagina/e 1-7, ISBN 978-1-6654-3900-8
Editore: IEEE
DOI: 10.1109/ijcnn52387.2021.9534440

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning

Autori: Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Pubblicato in: 2020 28th European Signal Processing Conference (EUSIPCO), 2021, Pagina/e 1392-1396, ISBN 978-9-0827-9705-3
Editore: IEEE
DOI: 10.23919/eusipco47968.2020.9287340

Continual Transformers: Redundancy-Free Attention for Online Inference

Autori: Lukas Hedegaard, Arian Bakhtiarnia, Alexandros Iosifidis
Pubblicato in: Advances in Neural Information Systems (NeurIPS) Workshop on Vision Transformers: Theory and Applications, 2022
Editore: arXiv
DOI: 10.48550/arxiv.2201.06268

Continual 3D Convolutional Neural Networks for Real-time Processing of Videos

Autori: Lukas Hedegaard; Alexandros Iosifidis
Pubblicato in: European Conference on Computer Vision, Numero 2022, 2022
Editore: Springer
DOI: 10.1007/978-3-031-19772-7_22

CoVIO: Online Continual Learning for Visual-Inertial Odometry

Autori: Niclas Vödisch; Daniele Cattaneo; Wolfram Burgard; Abhinav Valada
Pubblicato in: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Editore: IEEE/CVF
DOI: 10.1109/cvprw59228.2023.00245

Learning Long-Horizon Robot Exploration Strategies for Multi-Object Search in Continuous Action Spaces

Autori: Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Pubblicato in: Proceedings of the International Symposium on Robotics Research (ISRR), 2022
Editore: Springer

Using Part-based Representations for Explainable Deep Reinforcement Learning

Autori: M. Kirtas, K. Tsampazis, L. Avramelou, Ν. Passalis, and Α. Tefas
Pubblicato in: ECML PKDD – Workshop: Uncertainty meets Explainability, 2023, 2023
Editore: Springer

Multi-label Annotation for Visual Multi-Task Learning Models

Autori: G. Sharma, A. Angleraud, R. Pieters
Pubblicato in: IEEE International Conference on Robotic Computing, 2023
Editore: IEEE

SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration

Autori: Amir Mehman Sefat, Alexandre Angleraud, Esa Rahtu, Roel Pieters
Pubblicato in: IEEE Conference on Automation Science and Engineering, 2022
Editore: IEEE
DOI: 10.1109/case49997.2022.9926463

Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval

Autori: Nikolaos Passalis, Anastasios Tefas
Pubblicato in: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Pagina/e 885-892, ISBN 978-1-7281-8808-9
Editore: IEEE
DOI: 10.1109/icpr48806.2021.9413103

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

Autori: P. Nousi, E. Mpampis, N. Passalis, O. Green, and A. Tefas
Pubblicato in: IEEE Symposium Series On Computational Intelligence 2022, 2022
Editore: IEEE

Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits

Autori: N. Passalis and A. Tefas
Pubblicato in: 29th European Signal Processing Conference, EUSIPCO 2021, Numero 23 - 27 August 2021, 2021
Editore: European Association for Signal Processing (EURASIP)

Co-speech gestures for human-robot collaboration

Autori: A. Ekrekli, A. Angleraud, G. Sharma and R. Pieters
Pubblicato in: IEEE International Conference on Robotic Computing, 2023
Editore: IEEE

Rethinking compactness in deep neural networks

Autori: Kateryna Chumachenko, Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
Pubblicato in: ICML 2021 Workshop on Overparameterization, 2021
Editore: ICML Workshop

Deep Active Robotic Perception for Improving Face Recognition Under Occlusions

Autori: Valia Dimaridou, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: IEEE Symposium Series on Computational Intelligence, 2023
Editore: IEEE

Deep Active Perception for Object Detection using Navigation Proposals

Autori: Stefanos Ginargyros, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: IEEE Symposium Series on Computational Intelligence, 2023
Editore: IEEE

Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition

Autori: Negar Heidari, Alexandros Iosifidis
Pubblicato in: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Pagina/e 7907-7914, ISBN 978-1-7281-8808-9
Editore: IEEE
DOI: 10.1109/icpr48806.2021.9412091

ActiveFace: A Synthetic Active Perception Dataset for Face Recognition

Autori: C. Georgiadis, N. Passalis, N. Nikolaidis
Pubblicato in: IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023
Editore: IEEE

Quadratic Mutual Information Regularization in Real-Time Deep CNN Models

Autori: Maria Tzelepi, Anastasios Tefas
Pubblicato in: 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020, Pagina/e 1-6, ISBN 978-1-7281-6662-9
Editore: IEEE
DOI: 10.1109/mlsp49062.2020.9231566

Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcemet Learning

Autori: D. Tsiakmakis, N. Passalis and A. Tefas
Pubblicato in: European Signal Processing Conference, 2023
Editore: IEEE

Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics

Autori: M. Kirtas, K. Tsampazis, N. Passalis, A. Tefas
Pubblicato in: Artificial Intelligence Applications and Innovations - 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II, Numero 584, 2020, Pagina/e 64-75, ISBN 978-3-030-49185-7
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-49186-4_6

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics

Autori: N. Passalis, S. Pedrazzi, R. Babuska, W. Burgard, D. Dias, F. Ferro, M. Gabbouj, O. Green, A. Iosifidis,E. Kayacan, J. Kober, O. Michel, N. Nikolaidis, P. Nousi, R. Pieters, M. Tzelepi, A. Valada, and A. Tefas
Pubblicato in: IEEE/RSJ International Conference on Intelligent Robots and System, 2022, 2022
Editore: IEEE

Performance Indicator in Multilinear Compressive Learning

Autori: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Pubblicato in: 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, Pagina/e 1822-1828, ISBN 978-1-7281-2547-3
Editore: IEEE
DOI: 10.1109/ssci47803.2020.9308418

Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning

Autori: Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, and Abhinav Valada
Pubblicato in: Proceedings of the International Symposium on Robotics Research (ISRR), 2022
Editore: Springer

End-to-end trainable gaussian filtering for electrocardiogram signal classification using deep learning

Autori: Angelos Nalmpantis, Nikolaops Passalis, and Anastasios Tefas.
Pubblicato in: European Signal Processing Conference, 2023
Editore: IEEE

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning

Autori: Jelle Luijkx, Zlatan Ajanovic, Laura Ferranti, Jens Kober
Pubblicato in: 5th NeurIPS 2022 Workshop on Robot Learning: Trustworthy Robotics, 2022
Editore: N/A

Progressive Spatio-Temporal Graph Convolutional Network for Skeleton-Based Human Action Recognition

Autori: Negar Heidari, Alexandras Iosifidis
Pubblicato in: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Pagina/e 3220-3224, ISBN 978-1-7281-7605-5
Editore: IEEE
DOI: 10.1109/icassp39728.2021.9413860

Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-Organized Operational Layer

Autori: Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
Pubblicato in: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Pagina/e 1-6, ISBN 978-1-6654-3900-8
Editore: IEEE
DOI: 10.1109/ijcnn52387.2021.9534232

Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces

Autori: Johan Vertens and Nicolai Dorka and Tim Welschehold and Michael Thompson and Wolfram Burgard
Pubblicato in: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Editore: IEEE

Improving Visual Question Answering using Active Perception on Static Images

Autori: Theodoros Bozinis, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Pagina/e 879-884, ISBN 978-1-7281-8808-9
Editore: IEEE
DOI: 10.1109/icpr48806.2021.9412885

Human Action Recognition Using Recurrent Bag-of-Features Pooling

Autori: Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Pubblicato in: Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10–15, 2021, Proceedings, Part V, Numero 12665, 2021, Pagina/e 63-76, ISBN 978-3-030-68820-2
Editore: Springer International Publishing
DOI: 10.1007/978-3-030-68821-9_6

Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting

Autori: A. Tzimas, N. Passalis, A. Tefas
Pubblicato in: 2020 IEEE International Conference on Multimedia and Expo (ICME), 2020, Pagina/e 1-6, ISBN 978-1-7281-1331-9
Editore: IEEE
DOI: 10.1109/icme46284.2020.9102966

Self-attention fusion for audiovisual emotion recognition with incomplete data

Autori: Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
Pubblicato in: International Conference on Pattern Recognition, 2022
Editore: IEEE
DOI: 10.1109/icpr56361.2022.9956592

Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation

Autori: Negar Heidari and Alexandros Iosifidis
Pubblicato in: IEEE International Workshop on Multimedia Signal Processing, 2021
Editore: IEEE

Enabling High-Resolution Pose Estimation in Real Time Using Active Perception

Autori: T. Manousis, N. Passalis and A. Tefas
Pubblicato in: IEEE International Conference on Image Processing (ICIP),, 2023
Editore: IEEE
DOI: 10.1109/icip49359.2023.10223083

Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation

Autori: Schmalstieg, Fabian; Honerkamp, Daniel; Welschehold, Tim; Valada, Abhinav
Pubblicato in: IEEE Robotics and Automation Letters ( Volume: 8, Numero: 12, December 2023), 2023, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2023.3329619

GEM: Glare or Gloom, I Can Still See You – End-to-End Multi-Modal Object Detection

Autori: Osama Mazhar, Robert Babuska, Jens Kober
Pubblicato in: IEEE Robotics and Automation Letters, Numero 6/4, 2021, Pagina/e 6321-6328, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2021.3093871

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits

Autori: Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj
Pubblicato in: Pattern Recognition, Numero 105, 2020, Pagina/e 107346, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2020.107346

Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval

Autori: Nikolaos Passalis, Anastasios Tefas
Pubblicato in: Signal Processing: Image Communication, Numero 93, 2021, Pagina/e 116146, ISSN 0923-5965
Editore: Elsevier BV
DOI: 10.1016/j.image.2021.116146

N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments

Autori: D. Honerkamp, T. Welschehold, A. Valada
Pubblicato in: IEEE Transactions on Robotics, Numero Volume: 39, Numero: 5, 2023, ISSN 1941-0468
Editore: IEEE
DOI: 10.1109/tro.2023.3284346

Neural Architecture Search by Estimation of Network Structure Distributions

Autori: Anton Muravev, Jenni Raitoharju, Moncef Gabbouj
Pubblicato in: IEEE Access, Numero 9, 2021, Pagina/e 15304-15319, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3052996

Probabilistic Class-Specific Discriminant Analysis

Autori: Alexandros Iosifidis
Pubblicato in: IEEE Access, Numero 8, 2020, Pagina/e 183847-183855, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2020.3029514

3D Multi-Object Tracking Using Graph Neural Networks With Cross-Edge Modality Attention

Autori: Martin Büchner and Abhinav Valada
Pubblicato in: IEEE Robotics and Automation Letters, Numero 23773766, 2022, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2022.3191558

PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention

Autori: José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
Pubblicato in: IEEE Robotics and Automation Letters (RA-L), Numero vol. 8, issue 3, pp. 1319-1326, 2023, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2023.3239312

EfficientPS: Efficient Panoptic Segmentation

Autori: Rohit Mohan, Abhinav Valada
Pubblicato in: International Journal of Computer Vision, Numero 129/5, 2021, Pagina/e 1551-1579, ISSN 0920-5691
Editore: Kluwer Academic Publishers
DOI: 10.1007/s11263-021-01445-z

Remote Multilinear Compressive Learning with Adaptive Compression

Autori: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Pubblicato in: IEEE Internet of Things Journal, 2021, Pagina/e 1-1, ISSN 2327-4662
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2021.3114743

A synthetic human-centric dataset generation pipeline for active robotic vision

Autori: Charalampos Georgiadis, Nikolaos Passalis, Nikos Nikolaidis
Pubblicato in: Pattern Recognition Letters, Numero Volume 179, March 2024, 2024, Pagina/e 17-23, ISSN 1872-7344
Editore: Elsevier
DOI: 10.1016/j.patrec.2024.01.019

Using synthesized facial views for active face recognition

Autori: Efstratios Kakaletsis, Nikos Nikolaidis
Pubblicato in: Machine Vision and Applications, Numero Volume 34, Numero 4, 2023, ISSN 1432-1769
Editore: Springer
DOI: 10.1007/s00138-023-01412-3

Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning

Autori: Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Pubblicato in: IEEE Robotics and Automation Letters, Numero 6/4, 2021, Pagina/e 6289-6296, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2021.3092685

Coordinating Shared Tasks in Human-Robot Collaboration by Commands

Autori: Alexandre Angleraud, Amir Mehman Sefat, Metodi Netzev and Roel Pieters
Pubblicato in: Frontiers in Robotics and AI, Numero 8, 2021, ISSN 2296-9144
Editore: Frontiers
DOI: 10.3389/frobt.2021.734548

Improving knowledge distillation using unified ensembles of specialized teachers

Autori: Adamantios Zaras, Nikolaos Passalis, Anastasios Tefas
Pubblicato in: Pattern Recognition Letters, Numero 146, 2021, Pagina/e 215-221, ISSN 0167-8655
Editore: Elsevier BV
DOI: 10.1016/j.patrec.2021.03.014

EfficientLPS: Efficient LiDAR Panoptic Segmentation

Autori: Sirohi, Kshitij; Mohan, Rohit; Büscher, Daniel; Burgard, Wolfram; Valada, Abhinav
Pubblicato in: IEEE Transactions on Robotics, Numero vol.38, no. 3, 2021, Pagina/e 1894-1914, ISSN 1552-3098
Editore: Institute of Electrical and Electronics Engineers

Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots

Autori: Halil Ibrahim Ugurlu, Xuan Huy Pham and Erdal Kayacan
Pubblicato in: Robotics, 2022, ISSN 2218-6581
Editore: MDPI
DOI: 10.3390/robotics11050109

Probabilistic Online Self-Distillation

Autori: M. Tzelepi, N. Passalis and A. Tefas
Pubblicato in: Neurocomputing, Numero 09252312, 2022, ISSN 0925-2312
Editore: Elsevier BV
DOI: 10.1016/j.neucom.2021.12.101

Sensor-based human–robot collaboration for industrial tasks

Autori: A. Angleraud, A. Ekrekli, K. Samarawickrama, G. Sharma and R. Pieters
Pubblicato in: Robotics and Computer-Integrated Manufacturing (RCIM), 2023, ISSN 0736-5845
Editore: Pergamon Press Ltd.
DOI: 10.1016/j.rcim.2023.102663

Class mean vector component and discriminant analysis

Autori: Alexandros Iosifidis
Pubblicato in: Pattern Recognition Letters, Numero 140, 2020, Pagina/e 207-213, ISSN 0167-8655
Editore: Elsevier BV
DOI: 10.1016/j.patrec.2020.10.014

Recurrent bag-of-features for visual information analysis

Autori: Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Pubblicato in: Pattern Recognition, Numero 106, 2020, Pagina/e 107380, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2020.107380

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices

Autori: Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Pubblicato in: IEEE Transactions on Neural Networks and Learning Systems, 2020, Pagina/e 1-6, ISSN 2162-237X
Editore: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2020.2979745

Multilinear Compressive Learning

Autori: Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis
Pubblicato in: IEEE Transactions on Neural Networks and Learning Systems, 2020, Pagina/e 1-13, ISSN 2162-237X
Editore: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2020.2984831

Continual spatio-temporal graph convolutional networks

Autori: Lukas Hedegaard, Negar Heidari and Alexandros Iosifidis
Pubblicato in: Pattern Recognition, 2023, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2023.109528

Attention-Based Neural Bag-of-Features Learning for Sequence Data

Autori: Dat Thanh Tran; Nikolaos Passalis; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis
Pubblicato in: IEEE Access, 2022, Pagina/e 45542-45552, ISSN 2169-3536
Editore: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.48550/arxiv.2005.12250

Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning

Autori: Jonas Kulhanek, Erik Derner, Robert Babuska
Pubblicato in: IEEE Robotics and Automation Letters, Numero 6/3, 2021, Pagina/e 4345-4352, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2021.3068106

Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol

Autori: Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, Alexandros Iosifidis
Pubblicato in: IEEE Transactions on Image Processing, 2021, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2021.3118978

Neural Attention-Driven Non-Maximum Suppression for Person Detection

Autori: Symeonidis, Charalampos and Mademlis, Ioannis and Pitas, Ioannis and Nikolaidis, Nikos
Pubblicato in: IEEE Transactions on Image Processing, 2023, ISSN 1057-7149
Editore: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2023.3268561

Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation

Autori: Mohan, Rohit and Valada, Abhinav
Pubblicato in: IEEE Robotics and Automation Letters, Numero 23773766, 2022, ISSN 2377-3766
Editore: IEEE
DOI: 10.1109/lra.2022.3189425

Variational Neural Networks implementation in Pytorch and JAX(R)

Autori: Illia Oleksiienko, Dat Thanh Tran and Alexandros Iosifidis
Pubblicato in: Software Impacts, 2022, ISSN 2665-9638
Editore: Elsevier
DOI: 10.1016/j.simpa.2022.100431

Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization

Autori: Maria Tzelepi, Anastasios Tefas
Pubblicato in: Pattern Recognition, Numero 106, 2020, Pagina/e 107407, ISSN 0031-3203
Editore: Pergamon Press
DOI: 10.1016/j.patcog.2020.107407

Guest Editorial: Special Issue on Artificial Intelligence for Robotics

Autori: W. He, Z. Li, E. Kayacan, C. Huang and M. V. Basin
Pubblicato in: IEEE Transactions on Artificial Intelligence, 2021, ISSN 2691-4581
Editore: IEEE
DOI: 10.1109/tai.2021.3119155

Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning

Autori: Bešić, Borna; Valada, Abhinav
Pubblicato in: IEEE Transactions on Intelligent Vehicles, Numero 23798858, 2022, Pagina/e 170-185, ISSN 2379-8858
Editore: IEEE

Structured Pruning Adapters

Autori: Lukas Hedegaard, Aman Alok, Juby Jose, Alexandros Iosifidis
Pubblicato in: ArXiv, 2022
Editore: ArXiv

UNav-Sim: A Visually Realistic Underwater Robotics Simulator and Synthetic Data-generation Framework

Autori: Abdelhakim Amer, Olaya Álvarez-Tuñón, Halil Ibrahim Ugurlu, Jonas le Fevre Sejersen, Yury Brodskiy and Erdal Kayacan
Pubblicato in: arXiv, 2023
Editore: arXiv

Uncertainty-Aware AB3DMOT by Variational 3D Object Detection

Autori: Illia Oleksiienko and Alexandros Iosifidis
Pubblicato in: arXiv, 2023
Editore: arXiv

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Autori: N. Dorka, J. Boedecker, W. Burgard
Pubblicato in: IEEE Robotics and Automation Letters, Numero Volume: 8, Numero: 2,, 2022, Pagina/e 624 - 631
Editore: IEEE
DOI: 10.1109/lra.2022.3229236

Multilinear Compressive Learning with Prior Knowledge

Autori: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Pubblicato in: 2020
Editore: arXiv

Variational Voxel Pseudo Image Tracking

Autori: Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas and Alexandros Iosifidis
Pubblicato in: arXiv, 2023
Editore: arXiv

VPIT: Real-time Embedded Single Object 3D Tracking Using Voxel Pseudo Images

Autori: I. Oleksiienko, P. Nousi, N. Passalis, A. Tefas and A. Iosifidis
Pubblicato in: arXiv preprint, 2022
Editore: arxiv.2206.02619
DOI: 10.48550/arxiv.2206.02619

Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds

Autori: Abdelrahman Younes, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Pubblicato in: IEEE Robotics and Automation Letters, Numero Volume: 8, Numero: 2, 2023, Pagina/e 928 - 935
Editore: IEEE
DOI: 10.1109/lra.2023.3234766

Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions

Autori: Osama Mazhar, Jens Kober
Pubblicato in: 2021
Editore: ArXiv

Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps

Autori: D. Honerkamp, S. Guttikonda, A. Valada,
Pubblicato in: arXiv, 2022
Editore: arXiv

Learning Diversified Feature Representations for Facial Expression Recognition in the Wild

Autori: Negar Heidari and Alexandros Iosifidis
Pubblicato in: arXiv preprint, 2022
Editore: arXiv

Knowledge Distillation By Sparse Representation Matching

Autori: Tran, Dat Thanh; Gabbouj, Moncef; Iosifidis, Alexandros
Pubblicato in: Numero 6, 2021
Editore: arxiv

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