Open Deep Learning Toolkit for Robotics

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

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

Publications

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

Auteurs: Illia Oleksiienko, Alexandros Iosifidis
Publié dans: 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2021, Page(s) 59-64, ISBN 978-1-6654-1559-0
Éditeur: IEEE
DOI: 10.1109/icetci51973.2021.9574075

Variational Neural Networks

Auteurs: Illia Oleksiienko, Dat Thanh Tran and Alexandros Iosifidis
Publié dans: International Joint Conference on Neural Networks Workshop - Procedia Computer Science, 2023
Éditeur: Elsevier
DOI: 10.1016/j.procs.2023.08.148

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

Auteurs: N.Dorka, T. Welschehold, W.Burgard
Publié dans: 2023 International Conference on Learning Representations, 2023
Éditeur: ICLR

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

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

Heterogeneous Knowledge Distillation Using Information Flow Modeling

Auteurs: Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
Publié dans: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Page(s) 2336-2345, ISBN 978-1-7281-7168-5
Éditeur: IEEE
DOI: 10.1109/cvpr42600.2020.00241

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

Auteurs: Maria Tzelepi, Anastasios Tefas
Publié dans: 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021, Page(s) 1-6, ISBN 978-1-6654-3864-3
Éditeur: IEEE
DOI: 10.1109/icme51207.2021.9428147

Automatic Dataset Generation From CAD for Vision-Based Grasping

Auteurs: Saad Ahmad, Kulunu Samarawickrama, Esa Rahtu and Roel Pieters
Publié dans: 20th International Conference on Advanced Robotics, 2021
Éditeur: IEEE

Inclined Quadrotor Landing using Deep Reinforcement Learning

Auteurs: Jacob E. Kooi, and Robert Babuska
Publié dans: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Éditeur: IEEE

Semantic Scene Segmentation for Robotics Applications

Auteurs: M. Tzelepi and A. Tefas
Publié dans: 12th International Conference on Information,Intelligence, Systems and Applications (IISA),, Numéro 12-14 July 2021, 2021
Éditeur: IEEE

Learning to ignore: rethinking attention in CNNs

Auteurs: Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
Publié dans: British Machine Vision Conference, 2021
Éditeur: arXiv

Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning

Auteurs: P. Tosidis, N. Passalis and A. Tefas
Publié dans: 2022 30th European Signal Processing Conference (EUSIPCO), 2022, 2022
Éditeur: EURASIP

Leveraging Active Perception for Improving Embedding-based Deep Face Recognition

Auteurs: Nikolaos Passalis, Anastasios Tefas
Publié dans: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020, Page(s) 1-6, ISBN 978-1-7281-9320-5
Éditeur: IEEE
DOI: 10.1109/mmsp48831.2020.9287085

Self-attention Neural Bag-of-Features

Auteurs: Kateryna Chumachenko, Alexandros Iosifidis and Moncef Gabbouj
Publié dans: IEEE International Workshop on Machine Learning for Signal Processing, 2022
Éditeur: IEEE

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

Auteurs: C. Symeonidis, C. Anastasiadis, N. Nikolaidis
Publié dans: IEEE International Workshop on Multimedia Signal Processing (MMSP), 2022, 2022
Éditeur: IEEE

DeepKoCo: Efficient latent planning with a robust Koopman representation

Auteurs: van der Heijden, Bas; Ferranti, Laura; Kober, Jens; Babuska, Robert
Publié dans: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Numéro 1, 2021
Éditeur: IEEE

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

Auteurs: Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, and Anastasios Tefas.
Publié dans: IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Éditeur: IEEE

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

Auteurs: C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis
Publié dans: IEEE International Conference on Image Processing (ICIP), 2022, 2022
Éditeur: IEEE
DOI: 10.1109/icip46576.2022.9897612

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

Auteurs: C. Symeonidis and P. Nousi and P. Tosidis and K. Tsampazis and N. Passalis and A.Tefas and N. Nikolaidis
Publié dans: International Conference on Engineering Applications ofNeural Networks (EANN), 2021, Numéro 25 – 27 June, 2021, 2021
Éditeur: Springer

Improving binary semantic scene segmentation for robotics applications

Auteurs: M. Tzelepi, N. Tragkas, and A. Tefas
Publié dans: International Conference on Engineering Applications of Neural Networks, 2022
Éditeur: Springer
DOI: 10.1007/978-3-031-08223-8

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

Auteurs: Lukas Hedegaard and Alexandros Iosifidis
Publié dans: International Workshop on Computational Aspects of Deep Learning (ECCV Workshops), 2022
Éditeur: arXiv
DOI: 10.48550/arxiv.2204.03418

Active Face Recognition Through View Synthesis

Auteurs: Efstratios Kakaletsis, Nikos Nikolaidis
Publié dans: European Signal Processing Conference (EUSIPCO), Numéro 04-08 September 2023, 2023, ISBN 978-9-4645-9360-0
Éditeur: IEEE
DOI: 10.23919/eusipco58844.2023.10290036

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

Auteurs: P. Tiritiris, N. Passalis and A. Tefas
Publié dans: International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2021, Numéro 25-27 August 2021, 2021
Éditeur: IEEE

CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation

Auteurs: Vödisch, Niclas; Petek, Kürsat; Burgard, Wolfram; Valada, Abhinav
Publié dans: Robotics: Science and Systems, 2023
Éditeur: RSS
DOI: 10.48550/arxiv.2303.10147

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

Auteurs: M. Tzelepi, C. Symeonidis, N. Nikolaidis and A. Tefas
Publié dans: IEEE 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022
Éditeur: IEEE

Layer Ensembles

Auteurs: Illia Oleksiienko and Alexandros Iosifidis
Publié dans: IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Éditeur: IEEE
DOI: 10.1109/mlsp55844.2023.10286005

Prioritizing States with Action Sensitive Return in Experience Replay

Auteurs: A. Keijzer, B. van der Heijden, and J. Kober
Publié dans: 2023
Éditeur: EWRL

Multilayer Online Self-Acquired Knowledge Distillation

Auteurs: M. Tzelepi, C. Symeonidis, N. Nikolaidis and A. Tefas
Publié dans: IEEE 26th International Conference on Pattern Recognition (ICPR), 2022, 2022
Éditeur: IEEE

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

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

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

Auteurs: Nikolaos Passalis, Jenni Raitoharju, Moncef Gabbouj, Anastasios Tefas
Publié dans: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020, Page(s) 1-6, ISBN 978-1-7281-9320-5
Éditeur: IEEE
DOI: 10.1109/mmsp48831.2020.9287150

MOPT: Multi-Object Panoptic Tracking

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

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

Auteurs: Kristoffer Fogh Andersen, Huy Xuan Pham, Halil Ibrahim Ugurlu and Erdal Kayacan
Publié dans: European Control Conference (ECC), 2022
Éditeur: IEEE
DOI: 10.23919/ecc55457.2022.9838538

Subset Sampling for Progressive Neural Network Learning

Auteurs: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Publié dans: 2020 IEEE International Conference on Image Processing (ICIP), 2020, Page(s) 713-717, ISBN 978-1-7281-6395-6
Éditeur: IEEE
DOI: 10.1109/icip40778.2020.9191270

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

Auteurs: N. Passalis and A. Tefas
Publié dans: 2021 IEEE International Conference on Image Processing, Numéro 19-22 September 2021, 2021
Éditeur: IEEE

Supervised Domain Adaptation using Graph Embedding

Auteurs: Morsing, Lukas Hedegaard; Sheikh-Omar, Omar Ali; Iosifidis, Alexandros
Publié dans: 25th International Conference on Pattern Recognition, Numéro 10-15 January 2021, 2021
Éditeur: IEEE

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

Auteurs: Negar Heidari, Alexandros Iosifidis
Publié dans: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Page(s) 1-7, ISBN 978-1-6654-3900-8
Éditeur: IEEE
DOI: 10.1109/ijcnn52387.2021.9534440

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning

Auteurs: Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Publié dans: 2020 28th European Signal Processing Conference (EUSIPCO), 2021, Page(s) 1392-1396, ISBN 978-9-0827-9705-3
Éditeur: IEEE
DOI: 10.23919/eusipco47968.2020.9287340

Continual Transformers: Redundancy-Free Attention for Online Inference

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

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

Auteurs: Lukas Hedegaard; Alexandros Iosifidis
Publié dans: European Conference on Computer Vision, Numéro 2022, 2022
Éditeur: Springer
DOI: 10.1007/978-3-031-19772-7_22

CoVIO: Online Continual Learning for Visual-Inertial Odometry

Auteurs: Niclas Vödisch; Daniele Cattaneo; Wolfram Burgard; Abhinav Valada
Publié dans: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Éditeur: IEEE/CVF
DOI: 10.1109/cvprw59228.2023.00245

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

Auteurs: Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Publié dans: Proceedings of the International Symposium on Robotics Research (ISRR), 2022
Éditeur: Springer

Using Part-based Representations for Explainable Deep Reinforcement Learning

Auteurs: M. Kirtas, K. Tsampazis, L. Avramelou, Ν. Passalis, and Α. Tefas
Publié dans: ECML PKDD – Workshop: Uncertainty meets Explainability, 2023, 2023
Éditeur: Springer

Multi-label Annotation for Visual Multi-Task Learning Models

Auteurs: G. Sharma, A. Angleraud, R. Pieters
Publié dans: IEEE International Conference on Robotic Computing, 2023
Éditeur: IEEE

SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration

Auteurs: Amir Mehman Sefat, Alexandre Angleraud, Esa Rahtu, Roel Pieters
Publié dans: IEEE Conference on Automation Science and Engineering, 2022
Éditeur: IEEE
DOI: 10.1109/case49997.2022.9926463

Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval

Auteurs: Nikolaos Passalis, Anastasios Tefas
Publié dans: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Page(s) 885-892, ISBN 978-1-7281-8808-9
Éditeur: IEEE
DOI: 10.1109/icpr48806.2021.9413103

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

Auteurs: P. Nousi, E. Mpampis, N. Passalis, O. Green, and A. Tefas
Publié dans: IEEE Symposium Series On Computational Intelligence 2022, 2022
Éditeur: IEEE

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

Auteurs: N. Passalis and A. Tefas
Publié dans: 29th European Signal Processing Conference, EUSIPCO 2021, Numéro 23 - 27 August 2021, 2021
Éditeur: European Association for Signal Processing (EURASIP)

Co-speech gestures for human-robot collaboration

Auteurs: A. Ekrekli, A. Angleraud, G. Sharma and R. Pieters
Publié dans: IEEE International Conference on Robotic Computing, 2023
Éditeur: IEEE

Rethinking compactness in deep neural networks

Auteurs: Kateryna Chumachenko, Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
Publié dans: ICML 2021 Workshop on Overparameterization, 2021
Éditeur: ICML Workshop

Deep Active Robotic Perception for Improving Face Recognition Under Occlusions

Auteurs: Valia Dimaridou, Nikolaos Passalis, Anastasios Tefas
Publié dans: IEEE Symposium Series on Computational Intelligence, 2023
Éditeur: IEEE

Deep Active Perception for Object Detection using Navigation Proposals

Auteurs: Stefanos Ginargyros, Nikolaos Passalis, Anastasios Tefas
Publié dans: IEEE Symposium Series on Computational Intelligence, 2023
Éditeur: IEEE

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

Auteurs: Negar Heidari, Alexandros Iosifidis
Publié dans: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Page(s) 7907-7914, ISBN 978-1-7281-8808-9
Éditeur: IEEE
DOI: 10.1109/icpr48806.2021.9412091

ActiveFace: A Synthetic Active Perception Dataset for Face Recognition

Auteurs: C. Georgiadis, N. Passalis, N. Nikolaidis
Publié dans: IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023
Éditeur: IEEE

Quadratic Mutual Information Regularization in Real-Time Deep CNN Models

Auteurs: Maria Tzelepi, Anastasios Tefas
Publié dans: 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020, Page(s) 1-6, ISBN 978-1-7281-6662-9
Éditeur: IEEE
DOI: 10.1109/mlsp49062.2020.9231566

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

Auteurs: D. Tsiakmakis, N. Passalis and A. Tefas
Publié dans: European Signal Processing Conference, 2023
Éditeur: IEEE

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

Auteurs: M. Kirtas, K. Tsampazis, N. Passalis, A. Tefas
Publié dans: Artificial Intelligence Applications and Innovations - 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II, Numéro 584, 2020, Page(s) 64-75, ISBN 978-3-030-49185-7
Éditeur: 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

Auteurs: 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
Publié dans: IEEE/RSJ International Conference on Intelligent Robots and System, 2022, 2022
Éditeur: IEEE

Performance Indicator in Multilinear Compressive Learning

Auteurs: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Publié dans: 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, Page(s) 1822-1828, ISBN 978-1-7281-2547-3
Éditeur: IEEE
DOI: 10.1109/ssci47803.2020.9308418

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

Auteurs: Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, and Abhinav Valada
Publié dans: Proceedings of the International Symposium on Robotics Research (ISRR), 2022
Éditeur: Springer

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

Auteurs: Angelos Nalmpantis, Nikolaops Passalis, and Anastasios Tefas.
Publié dans: European Signal Processing Conference, 2023
Éditeur: IEEE

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning

Auteurs: Jelle Luijkx, Zlatan Ajanovic, Laura Ferranti, Jens Kober
Publié dans: 5th NeurIPS 2022 Workshop on Robot Learning: Trustworthy Robotics, 2022
Éditeur: N/A

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

Auteurs: Negar Heidari, Alexandras Iosifidis
Publié dans: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Page(s) 3220-3224, ISBN 978-1-7281-7605-5
Éditeur: IEEE
DOI: 10.1109/icassp39728.2021.9413860

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

Auteurs: Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
Publié dans: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Page(s) 1-6, ISBN 978-1-6654-3900-8
Éditeur: IEEE
DOI: 10.1109/ijcnn52387.2021.9534232

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

Auteurs: Johan Vertens and Nicolai Dorka and Tim Welschehold and Michael Thompson and Wolfram Burgard
Publié dans: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Éditeur: IEEE

Improving Visual Question Answering using Active Perception on Static Images

Auteurs: Theodoros Bozinis, Nikolaos Passalis, Anastasios Tefas
Publié dans: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Page(s) 879-884, ISBN 978-1-7281-8808-9
Éditeur: IEEE
DOI: 10.1109/icpr48806.2021.9412885

Human Action Recognition Using Recurrent Bag-of-Features Pooling

Auteurs: Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Publié dans: Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10–15, 2021, Proceedings, Part V, Numéro 12665, 2021, Page(s) 63-76, ISBN 978-3-030-68820-2
Éditeur: Springer International Publishing
DOI: 10.1007/978-3-030-68821-9_6

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

Auteurs: A. Tzimas, N. Passalis, A. Tefas
Publié dans: 2020 IEEE International Conference on Multimedia and Expo (ICME), 2020, Page(s) 1-6, ISBN 978-1-7281-1331-9
Éditeur: IEEE
DOI: 10.1109/icme46284.2020.9102966

Self-attention fusion for audiovisual emotion recognition with incomplete data

Auteurs: Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
Publié dans: International Conference on Pattern Recognition, 2022
Éditeur: 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

Auteurs: Negar Heidari and Alexandros Iosifidis
Publié dans: IEEE International Workshop on Multimedia Signal Processing, 2021
Éditeur: IEEE

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

Auteurs: T. Manousis, N. Passalis and A. Tefas
Publié dans: IEEE International Conference on Image Processing (ICIP),, 2023
Éditeur: IEEE
DOI: 10.1109/icip49359.2023.10223083

Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation

Auteurs: Schmalstieg, Fabian; Honerkamp, Daniel; Welschehold, Tim; Valada, Abhinav
Publié dans: IEEE Robotics and Automation Letters ( Volume: 8, Numéro: 12, December 2023), 2023, ISSN 2377-3766
Éditeur: IEEE
DOI: 10.1109/lra.2023.3329619

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

Auteurs: Osama Mazhar, Robert Babuska, Jens Kober
Publié dans: IEEE Robotics and Automation Letters, Numéro 6/4, 2021, Page(s) 6321-6328, ISSN 2377-3766
Éditeur: IEEE
DOI: 10.1109/lra.2021.3093871

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

Auteurs: Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj
Publié dans: Pattern Recognition, Numéro 105, 2020, Page(s) 107346, ISSN 0031-3203
Éditeur: Pergamon Press
DOI: 10.1016/j.patcog.2020.107346

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

Auteurs: Nikolaos Passalis, Anastasios Tefas
Publié dans: Signal Processing: Image Communication, Numéro 93, 2021, Page(s) 116146, ISSN 0923-5965
Éditeur: Elsevier BV
DOI: 10.1016/j.image.2021.116146

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

Auteurs: D. Honerkamp, T. Welschehold, A. Valada
Publié dans: IEEE Transactions on Robotics, Numéro Volume: 39, Numéro: 5, 2023, ISSN 1941-0468
Éditeur: IEEE
DOI: 10.1109/tro.2023.3284346

Neural Architecture Search by Estimation of Network Structure Distributions

Auteurs: Anton Muravev, Jenni Raitoharju, Moncef Gabbouj
Publié dans: IEEE Access, Numéro 9, 2021, Page(s) 15304-15319, ISSN 2169-3536
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3052996

Probabilistic Class-Specific Discriminant Analysis

Auteurs: Alexandros Iosifidis
Publié dans: IEEE Access, Numéro 8, 2020, Page(s) 183847-183855, ISSN 2169-3536
Éditeur: 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

Auteurs: Martin Büchner and Abhinav Valada
Publié dans: IEEE Robotics and Automation Letters, Numéro 23773766, 2022, ISSN 2377-3766
Éditeur: IEEE
DOI: 10.1109/lra.2022.3191558

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

Auteurs: José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
Publié dans: IEEE Robotics and Automation Letters (RA-L), Numéro vol. 8, issue 3, pp. 1319-1326, 2023, ISSN 2377-3766
Éditeur: IEEE
DOI: 10.1109/lra.2023.3239312

EfficientPS: Efficient Panoptic Segmentation

Auteurs: Rohit Mohan, Abhinav Valada
Publié dans: International Journal of Computer Vision, Numéro 129/5, 2021, Page(s) 1551-1579, ISSN 0920-5691
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11263-021-01445-z

Remote Multilinear Compressive Learning with Adaptive Compression

Auteurs: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Publié dans: IEEE Internet of Things Journal, 2021, Page(s) 1-1, ISSN 2327-4662
Éditeur: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2021.3114743

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

Auteurs: Charalampos Georgiadis, Nikolaos Passalis, Nikos Nikolaidis
Publié dans: Pattern Recognition Letters, Numéro Volume 179, March 2024, 2024, Page(s) 17-23, ISSN 1872-7344
Éditeur: Elsevier
DOI: 10.1016/j.patrec.2024.01.019

Using synthesized facial views for active face recognition

Auteurs: Efstratios Kakaletsis, Nikos Nikolaidis
Publié dans: Machine Vision and Applications, Numéro Volume 34, Numéro 4, 2023, ISSN 1432-1769
Éditeur: Springer
DOI: 10.1007/s00138-023-01412-3

Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning

Auteurs: Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Publié dans: IEEE Robotics and Automation Letters, Numéro 6/4, 2021, Page(s) 6289-6296, ISSN 2377-3766
Éditeur: IEEE
DOI: 10.1109/lra.2021.3092685

Coordinating Shared Tasks in Human-Robot Collaboration by Commands

Auteurs: Alexandre Angleraud, Amir Mehman Sefat, Metodi Netzev and Roel Pieters
Publié dans: Frontiers in Robotics and AI, Numéro 8, 2021, ISSN 2296-9144
Éditeur: Frontiers
DOI: 10.3389/frobt.2021.734548

Improving knowledge distillation using unified ensembles of specialized teachers

Auteurs: Adamantios Zaras, Nikolaos Passalis, Anastasios Tefas
Publié dans: Pattern Recognition Letters, Numéro 146, 2021, Page(s) 215-221, ISSN 0167-8655
Éditeur: Elsevier BV
DOI: 10.1016/j.patrec.2021.03.014

EfficientLPS: Efficient LiDAR Panoptic Segmentation

Auteurs: Sirohi, Kshitij; Mohan, Rohit; Büscher, Daniel; Burgard, Wolfram; Valada, Abhinav
Publié dans: IEEE Transactions on Robotics, Numéro vol.38, no. 3, 2021, Page(s) 1894-1914, ISSN 1552-3098
Éditeur: Institute of Electrical and Electronics Engineers

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

Auteurs: Halil Ibrahim Ugurlu, Xuan Huy Pham and Erdal Kayacan
Publié dans: Robotics, 2022, ISSN 2218-6581
Éditeur: MDPI
DOI: 10.3390/robotics11050109

Probabilistic Online Self-Distillation

Auteurs: M. Tzelepi, N. Passalis and A. Tefas
Publié dans: Neurocomputing, Numéro 09252312, 2022, ISSN 0925-2312
Éditeur: Elsevier BV
DOI: 10.1016/j.neucom.2021.12.101

Sensor-based human–robot collaboration for industrial tasks

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

Class mean vector component and discriminant analysis

Auteurs: Alexandros Iosifidis
Publié dans: Pattern Recognition Letters, Numéro 140, 2020, Page(s) 207-213, ISSN 0167-8655
Éditeur: Elsevier BV
DOI: 10.1016/j.patrec.2020.10.014

Recurrent bag-of-features for visual information analysis

Auteurs: Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Publié dans: Pattern Recognition, Numéro 106, 2020, Page(s) 107380, ISSN 0031-3203
Éditeur: Pergamon Press
DOI: 10.1016/j.patcog.2020.107380

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

Auteurs: Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, 2020, Page(s) 1-6, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2020.2979745

Multilinear Compressive Learning

Auteurs: Dat Thanh Tran, Mehmet Yamac, Aysen Degerli, Moncef Gabbouj, Alexandros Iosifidis
Publié dans: IEEE Transactions on Neural Networks and Learning Systems, 2020, Page(s) 1-13, ISSN 2162-237X
Éditeur: IEEE Computational Intelligence Society
DOI: 10.1109/tnnls.2020.2984831

Continual spatio-temporal graph convolutional networks

Auteurs: Lukas Hedegaard, Negar Heidari and Alexandros Iosifidis
Publié dans: Pattern Recognition, 2023, ISSN 0031-3203
Éditeur: Pergamon Press
DOI: 10.1016/j.patcog.2023.109528

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

Auteurs: Dat Thanh Tran; Nikolaos Passalis; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis
Publié dans: IEEE Access, 2022, Page(s) 45542-45552, ISSN 2169-3536
Éditeur: 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

Auteurs: Jonas Kulhanek, Erik Derner, Robert Babuska
Publié dans: IEEE Robotics and Automation Letters, Numéro 6/3, 2021, Page(s) 4345-4352, ISSN 2377-3766
Éditeur: IEEE
DOI: 10.1109/lra.2021.3068106

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

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

Neural Attention-Driven Non-Maximum Suppression for Person Detection

Auteurs: Symeonidis, Charalampos and Mademlis, Ioannis and Pitas, Ioannis and Nikolaidis, Nikos
Publié dans: IEEE Transactions on Image Processing, 2023, ISSN 1057-7149
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tip.2023.3268561

Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation

Auteurs: Mohan, Rohit and Valada, Abhinav
Publié dans: IEEE Robotics and Automation Letters, Numéro 23773766, 2022, ISSN 2377-3766
Éditeur: IEEE
DOI: 10.1109/lra.2022.3189425

Variational Neural Networks implementation in Pytorch and JAX(R)

Auteurs: Illia Oleksiienko, Dat Thanh Tran and Alexandros Iosifidis
Publié dans: Software Impacts, 2022, ISSN 2665-9638
Éditeur: Elsevier
DOI: 10.1016/j.simpa.2022.100431

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

Auteurs: Maria Tzelepi, Anastasios Tefas
Publié dans: Pattern Recognition, Numéro 106, 2020, Page(s) 107407, ISSN 0031-3203
Éditeur: Pergamon Press
DOI: 10.1016/j.patcog.2020.107407

Guest Editorial: Special Issue on Artificial Intelligence for Robotics

Auteurs: W. He, Z. Li, E. Kayacan, C. Huang and M. V. Basin
Publié dans: IEEE Transactions on Artificial Intelligence, 2021, ISSN 2691-4581
Éditeur: IEEE
DOI: 10.1109/tai.2021.3119155

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

Auteurs: Bešić, Borna; Valada, Abhinav
Publié dans: IEEE Transactions on Intelligent Vehicles, Numéro 23798858, 2022, Page(s) 170-185, ISSN 2379-8858
Éditeur: IEEE

Structured Pruning Adapters

Auteurs: Lukas Hedegaard, Aman Alok, Juby Jose, Alexandros Iosifidis
Publié dans: ArXiv, 2022
Éditeur: ArXiv

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

Auteurs: Abdelhakim Amer, Olaya Álvarez-Tuñón, Halil Ibrahim Ugurlu, Jonas le Fevre Sejersen, Yury Brodskiy and Erdal Kayacan
Publié dans: arXiv, 2023
Éditeur: arXiv

Uncertainty-Aware AB3DMOT by Variational 3D Object Detection

Auteurs: Illia Oleksiienko and Alexandros Iosifidis
Publié dans: arXiv, 2023
Éditeur: arXiv

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Auteurs: N. Dorka, J. Boedecker, W. Burgard
Publié dans: IEEE Robotics and Automation Letters, Numéro Volume: 8, Numéro: 2,, 2022, Page(s) 624 - 631
Éditeur: IEEE
DOI: 10.1109/lra.2022.3229236

Multilinear Compressive Learning with Prior Knowledge

Auteurs: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Publié dans: 2020
Éditeur: arXiv

Variational Voxel Pseudo Image Tracking

Auteurs: Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas and Alexandros Iosifidis
Publié dans: arXiv, 2023
Éditeur: arXiv

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

Auteurs: I. Oleksiienko, P. Nousi, N. Passalis, A. Tefas and A. Iosifidis
Publié dans: arXiv preprint, 2022
Éditeur: 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

Auteurs: Abdelrahman Younes, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Publié dans: IEEE Robotics and Automation Letters, Numéro Volume: 8, Numéro: 2, 2023, Page(s) 928 - 935
Éditeur: IEEE
DOI: 10.1109/lra.2023.3234766

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

Auteurs: Osama Mazhar, Jens Kober
Publié dans: 2021
Éditeur: ArXiv

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

Auteurs: D. Honerkamp, S. Guttikonda, A. Valada,
Publié dans: arXiv, 2022
Éditeur: arXiv

Learning Diversified Feature Representations for Facial Expression Recognition in the Wild

Auteurs: Negar Heidari and Alexandros Iosifidis
Publié dans: arXiv preprint, 2022
Éditeur: arXiv

Knowledge Distillation By Sparse Representation Matching

Auteurs: Tran, Dat Thanh; Gabbouj, Moncef; Iosifidis, Alexandros
Publié dans: Numéro 6, 2021
Éditeur: arxiv

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