Open Deep Learning Toolkit for Robotics

Rezultaty

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

Publikacje

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

Autorzy: Illia Oleksiienko, Alexandros Iosifidis
Opublikowane w: 2021 International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2021, Strona(/y) 59-64, ISBN 978-1-6654-1559-0
Wydawca: IEEE
DOI: 10.1109/icetci51973.2021.9574075

Variational Neural Networks

Autorzy: Illia Oleksiienko, Dat Thanh Tran and Alexandros Iosifidis
Opublikowane w: International Joint Conference on Neural Networks Workshop - Procedia Computer Science, 2023
Wydawca: Elsevier
DOI: 10.1016/j.procs.2023.08.148

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

Autorzy: N.Dorka, T. Welschehold, W.Burgard
Opublikowane w: 2023 International Conference on Learning Representations, 2023
Wydawca: ICLR

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

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

Heterogeneous Knowledge Distillation Using Information Flow Modeling

Autorzy: Nikolaos Passalis, Maria Tzelepi, Anastasios Tefas
Opublikowane w: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Strona(/y) 2336-2345, ISBN 978-1-7281-7168-5
Wydawca: IEEE
DOI: 10.1109/cvpr42600.2020.00241

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

Autorzy: Maria Tzelepi, Anastasios Tefas
Opublikowane w: 2021 IEEE International Conference on Multimedia and Expo (ICME), 2021, Strona(/y) 1-6, ISBN 978-1-6654-3864-3
Wydawca: IEEE
DOI: 10.1109/icme51207.2021.9428147

Automatic Dataset Generation From CAD for Vision-Based Grasping

Autorzy: Saad Ahmad, Kulunu Samarawickrama, Esa Rahtu and Roel Pieters
Opublikowane w: 20th International Conference on Advanced Robotics, 2021
Wydawca: IEEE

Inclined Quadrotor Landing using Deep Reinforcement Learning

Autorzy: Jacob E. Kooi, and Robert Babuska
Opublikowane w: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
Wydawca: IEEE

Semantic Scene Segmentation for Robotics Applications

Autorzy: M. Tzelepi and A. Tefas
Opublikowane w: 12th International Conference on Information,Intelligence, Systems and Applications (IISA),, Numer 12-14 July 2021, 2021
Wydawca: IEEE

Learning to ignore: rethinking attention in CNNs

Autorzy: Firas Laakom, Kateryna Chumachenko, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
Opublikowane w: British Machine Vision Conference, 2021
Wydawca: arXiv

Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning

Autorzy: P. Tosidis, N. Passalis and A. Tefas
Opublikowane w: 2022 30th European Signal Processing Conference (EUSIPCO), 2022, 2022
Wydawca: EURASIP

Leveraging Active Perception for Improving Embedding-based Deep Face Recognition

Autorzy: Nikolaos Passalis, Anastasios Tefas
Opublikowane w: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020, Strona(/y) 1-6, ISBN 978-1-7281-9320-5
Wydawca: IEEE
DOI: 10.1109/mmsp48831.2020.9287085

Self-attention Neural Bag-of-Features

Autorzy: Kateryna Chumachenko, Alexandros Iosifidis and Moncef Gabbouj
Opublikowane w: IEEE International Workshop on Machine Learning for Signal Processing, 2022
Wydawca: IEEE

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

Autorzy: C. Symeonidis, C. Anastasiadis, N. Nikolaidis
Opublikowane w: IEEE International Workshop on Multimedia Signal Processing (MMSP), 2022, 2022
Wydawca: IEEE

DeepKoCo: Efficient latent planning with a robust Koopman representation

Autorzy: van der Heijden, Bas; Ferranti, Laura; Kober, Jens; Babuska, Robert
Opublikowane w: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Numer 1, 2021
Wydawca: IEEE

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

Autorzy: Konstantinos Tsampazis, Manos Kirtas, Pavlos Tosidis, Nikolaos Passalis, and Anastasios Tefas.
Opublikowane w: IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Wydawca: IEEE

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

Autorzy: C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis
Opublikowane w: IEEE International Conference on Image Processing (ICIP), 2022, 2022
Wydawca: IEEE
DOI: 10.1109/icip46576.2022.9897612

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

Autorzy: C. Symeonidis and P. Nousi and P. Tosidis and K. Tsampazis and N. Passalis and A.Tefas and N. Nikolaidis
Opublikowane w: International Conference on Engineering Applications ofNeural Networks (EANN), 2021, Numer 25 – 27 June, 2021, 2021
Wydawca: Springer

Improving binary semantic scene segmentation for robotics applications

Autorzy: M. Tzelepi, N. Tragkas, and A. Tefas
Opublikowane w: International Conference on Engineering Applications of Neural Networks, 2022
Wydawca: Springer
DOI: 10.1007/978-3-031-08223-8

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

Autorzy: Lukas Hedegaard and Alexandros Iosifidis
Opublikowane w: International Workshop on Computational Aspects of Deep Learning (ECCV Workshops), 2022
Wydawca: arXiv
DOI: 10.48550/arxiv.2204.03418

Active Face Recognition Through View Synthesis

Autorzy: Efstratios Kakaletsis, Nikos Nikolaidis
Opublikowane w: European Signal Processing Conference (EUSIPCO), Numer 04-08 September 2023, 2023, ISBN 978-9-4645-9360-0
Wydawca: IEEE
DOI: 10.23919/eusipco58844.2023.10290036

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

Autorzy: P. Tiritiris, N. Passalis and A. Tefas
Opublikowane w: International Conference on Emerging Techniques in Computational Intelligence, ICETCI 2021, Numer 25-27 August 2021, 2021
Wydawca: IEEE

CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation

Autorzy: Vödisch, Niclas; Petek, Kürsat; Burgard, Wolfram; Valada, Abhinav
Opublikowane w: Robotics: Science and Systems, 2023
Wydawca: RSS
DOI: 10.48550/arxiv.2303.10147

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

Autorzy: M. Tzelepi, C. Symeonidis, N. Nikolaidis and A. Tefas
Opublikowane w: IEEE 2022 13th International Conference on Information, Intelligence, Systems & Applications (IISA), 2022
Wydawca: IEEE

Layer Ensembles

Autorzy: Illia Oleksiienko and Alexandros Iosifidis
Opublikowane w: IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023
Wydawca: IEEE
DOI: 10.1109/mlsp55844.2023.10286005

Prioritizing States with Action Sensitive Return in Experience Replay

Autorzy: A. Keijzer, B. van der Heijden, and J. Kober
Opublikowane w: 2023
Wydawca: EWRL

Multilayer Online Self-Acquired Knowledge Distillation

Autorzy: M. Tzelepi, C. Symeonidis, N. Nikolaidis and A. Tefas
Opublikowane w: IEEE 26th International Conference on Pattern Recognition (ICPR), 2022, 2022
Wydawca: IEEE

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

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

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

Autorzy: Nikolaos Passalis, Jenni Raitoharju, Moncef Gabbouj, Anastasios Tefas
Opublikowane w: 2020 IEEE 22nd International Workshop on Multimedia Signal Processing (MMSP), 2020, Strona(/y) 1-6, ISBN 978-1-7281-9320-5
Wydawca: IEEE
DOI: 10.1109/mmsp48831.2020.9287150

MOPT: Multi-Object Panoptic Tracking

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

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

Autorzy: Kristoffer Fogh Andersen, Huy Xuan Pham, Halil Ibrahim Ugurlu and Erdal Kayacan
Opublikowane w: European Control Conference (ECC), 2022
Wydawca: IEEE
DOI: 10.23919/ecc55457.2022.9838538

Subset Sampling for Progressive Neural Network Learning

Autorzy: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Opublikowane w: 2020 IEEE International Conference on Image Processing (ICIP), 2020, Strona(/y) 713-717, ISBN 978-1-7281-6395-6
Wydawca: IEEE
DOI: 10.1109/icip40778.2020.9191270

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

Autorzy: N. Passalis and A. Tefas
Opublikowane w: 2021 IEEE International Conference on Image Processing, Numer 19-22 September 2021, 2021
Wydawca: IEEE

Supervised Domain Adaptation using Graph Embedding

Autorzy: Morsing, Lukas Hedegaard; Sheikh-Omar, Omar Ali; Iosifidis, Alexandros
Opublikowane w: 25th International Conference on Pattern Recognition, Numer 10-15 January 2021, 2021
Wydawca: IEEE

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

Autorzy: Negar Heidari, Alexandros Iosifidis
Opublikowane w: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Strona(/y) 1-7, ISBN 978-1-6654-3900-8
Wydawca: IEEE
DOI: 10.1109/ijcnn52387.2021.9534440

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning

Autorzy: Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Opublikowane w: 2020 28th European Signal Processing Conference (EUSIPCO), 2021, Strona(/y) 1392-1396, ISBN 978-9-0827-9705-3
Wydawca: IEEE
DOI: 10.23919/eusipco47968.2020.9287340

Continual Transformers: Redundancy-Free Attention for Online Inference

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

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

Autorzy: Lukas Hedegaard; Alexandros Iosifidis
Opublikowane w: European Conference on Computer Vision, Numer 2022, 2022
Wydawca: Springer
DOI: 10.1007/978-3-031-19772-7_22

CoVIO: Online Continual Learning for Visual-Inertial Odometry

Autorzy: Niclas Vödisch; Daniele Cattaneo; Wolfram Burgard; Abhinav Valada
Opublikowane w: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023
Wydawca: IEEE/CVF
DOI: 10.1109/cvprw59228.2023.00245

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

Autorzy: Fabian Schmalstieg, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Opublikowane w: Proceedings of the International Symposium on Robotics Research (ISRR), 2022
Wydawca: Springer

Using Part-based Representations for Explainable Deep Reinforcement Learning

Autorzy: M. Kirtas, K. Tsampazis, L. Avramelou, Ν. Passalis, and Α. Tefas
Opublikowane w: ECML PKDD – Workshop: Uncertainty meets Explainability, 2023, 2023
Wydawca: Springer

Multi-label Annotation for Visual Multi-Task Learning Models

Autorzy: G. Sharma, A. Angleraud, R. Pieters
Opublikowane w: IEEE International Conference on Robotic Computing, 2023
Wydawca: IEEE

SingleDemoGrasp: Learning to Grasp From a Single Image Demonstration

Autorzy: Amir Mehman Sefat, Alexandre Angleraud, Esa Rahtu, Roel Pieters
Opublikowane w: IEEE Conference on Automation Science and Engineering, 2022
Wydawca: IEEE
DOI: 10.1109/case49997.2022.9926463

Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval

Autorzy: Nikolaos Passalis, Anastasios Tefas
Opublikowane w: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Strona(/y) 885-892, ISBN 978-1-7281-8808-9
Wydawca: IEEE
DOI: 10.1109/icpr48806.2021.9413103

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

Autorzy: P. Nousi, E. Mpampis, N. Passalis, O. Green, and A. Tefas
Opublikowane w: IEEE Symposium Series On Computational Intelligence 2022, 2022
Wydawca: IEEE

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

Autorzy: N. Passalis and A. Tefas
Opublikowane w: 29th European Signal Processing Conference, EUSIPCO 2021, Numer 23 - 27 August 2021, 2021
Wydawca: European Association for Signal Processing (EURASIP)

Co-speech gestures for human-robot collaboration

Autorzy: A. Ekrekli, A. Angleraud, G. Sharma and R. Pieters
Opublikowane w: IEEE International Conference on Robotic Computing, 2023
Wydawca: IEEE

Rethinking compactness in deep neural networks

Autorzy: Kateryna Chumachenko, Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis, Moncef Gabbouj
Opublikowane w: ICML 2021 Workshop on Overparameterization, 2021
Wydawca: ICML Workshop

Deep Active Robotic Perception for Improving Face Recognition Under Occlusions

Autorzy: Valia Dimaridou, Nikolaos Passalis, Anastasios Tefas
Opublikowane w: IEEE Symposium Series on Computational Intelligence, 2023
Wydawca: IEEE

Deep Active Perception for Object Detection using Navigation Proposals

Autorzy: Stefanos Ginargyros, Nikolaos Passalis, Anastasios Tefas
Opublikowane w: IEEE Symposium Series on Computational Intelligence, 2023
Wydawca: IEEE

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

Autorzy: Negar Heidari, Alexandros Iosifidis
Opublikowane w: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Strona(/y) 7907-7914, ISBN 978-1-7281-8808-9
Wydawca: IEEE
DOI: 10.1109/icpr48806.2021.9412091

ActiveFace: A Synthetic Active Perception Dataset for Face Recognition

Autorzy: C. Georgiadis, N. Passalis, N. Nikolaidis
Opublikowane w: IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023
Wydawca: IEEE

Quadratic Mutual Information Regularization in Real-Time Deep CNN Models

Autorzy: Maria Tzelepi, Anastasios Tefas
Opublikowane w: 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP), 2020, Strona(/y) 1-6, ISBN 978-1-7281-6662-9
Wydawca: IEEE
DOI: 10.1109/mlsp49062.2020.9231566

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

Autorzy: D. Tsiakmakis, N. Passalis and A. Tefas
Opublikowane w: European Signal Processing Conference, 2023
Wydawca: IEEE

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

Autorzy: M. Kirtas, K. Tsampazis, N. Passalis, A. Tefas
Opublikowane w: Artificial Intelligence Applications and Innovations - 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II, Numer 584, 2020, Strona(/y) 64-75, ISBN 978-3-030-49185-7
Wydawca: 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

Autorzy: 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
Opublikowane w: IEEE/RSJ International Conference on Intelligent Robots and System, 2022, 2022
Wydawca: IEEE

Performance Indicator in Multilinear Compressive Learning

Autorzy: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Opublikowane w: 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, Strona(/y) 1822-1828, ISBN 978-1-7281-2547-3
Wydawca: IEEE
DOI: 10.1109/ssci47803.2020.9308418

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

Autorzy: Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, and Abhinav Valada
Opublikowane w: Proceedings of the International Symposium on Robotics Research (ISRR), 2022
Wydawca: Springer

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

Autorzy: Angelos Nalmpantis, Nikolaops Passalis, and Anastasios Tefas.
Opublikowane w: European Signal Processing Conference, 2023
Wydawca: IEEE

PARTNR: Pick and place Ambiguity Resolving by Trustworthy iNteractive leaRning

Autorzy: Jelle Luijkx, Zlatan Ajanovic, Laura Ferranti, Jens Kober
Opublikowane w: 5th NeurIPS 2022 Workshop on Robot Learning: Trustworthy Robotics, 2022
Wydawca: N/A

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

Autorzy: Negar Heidari, Alexandras Iosifidis
Opublikowane w: ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, Strona(/y) 3220-3224, ISBN 978-1-7281-7605-5
Wydawca: IEEE
DOI: 10.1109/icassp39728.2021.9413860

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

Autorzy: Mohammad Soltanian, Junaid Malik, Jenni Raitoharju, Alexandros Iosifidis, Serkan Kiranyaz, Moncef Gabbouj
Opublikowane w: 2021 International Joint Conference on Neural Networks (IJCNN), 2021, Strona(/y) 1-6, ISBN 978-1-6654-3900-8
Wydawca: IEEE
DOI: 10.1109/ijcnn52387.2021.9534232

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

Autorzy: Johan Vertens and Nicolai Dorka and Tim Welschehold and Michael Thompson and Wolfram Burgard
Opublikowane w: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Wydawca: IEEE

Improving Visual Question Answering using Active Perception on Static Images

Autorzy: Theodoros Bozinis, Nikolaos Passalis, Anastasios Tefas
Opublikowane w: 2020 25th International Conference on Pattern Recognition (ICPR), 2021, Strona(/y) 879-884, ISBN 978-1-7281-8808-9
Wydawca: IEEE
DOI: 10.1109/icpr48806.2021.9412885

Human Action Recognition Using Recurrent Bag-of-Features Pooling

Autorzy: Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Opublikowane w: Pattern Recognition. ICPR International Workshops and Challenges - Virtual Event, January 10–15, 2021, Proceedings, Part V, Numer 12665, 2021, Strona(/y) 63-76, ISBN 978-3-030-68820-2
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-68821-9_6

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

Autorzy: A. Tzimas, N. Passalis, A. Tefas
Opublikowane w: 2020 IEEE International Conference on Multimedia and Expo (ICME), 2020, Strona(/y) 1-6, ISBN 978-1-7281-1331-9
Wydawca: IEEE
DOI: 10.1109/icme46284.2020.9102966

Self-attention fusion for audiovisual emotion recognition with incomplete data

Autorzy: Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj
Opublikowane w: International Conference on Pattern Recognition, 2022
Wydawca: 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

Autorzy: Negar Heidari and Alexandros Iosifidis
Opublikowane w: IEEE International Workshop on Multimedia Signal Processing, 2021
Wydawca: IEEE

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

Autorzy: T. Manousis, N. Passalis and A. Tefas
Opublikowane w: IEEE International Conference on Image Processing (ICIP),, 2023
Wydawca: IEEE
DOI: 10.1109/icip49359.2023.10223083

Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation

Autorzy: Schmalstieg, Fabian; Honerkamp, Daniel; Welschehold, Tim; Valada, Abhinav
Opublikowane w: IEEE Robotics and Automation Letters ( Volume: 8, Numer: 12, December 2023), 2023, ISSN 2377-3766
Wydawca: IEEE
DOI: 10.1109/lra.2023.3329619

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

Autorzy: Osama Mazhar, Robert Babuska, Jens Kober
Opublikowane w: IEEE Robotics and Automation Letters, Numer 6/4, 2021, Strona(/y) 6321-6328, ISSN 2377-3766
Wydawca: IEEE
DOI: 10.1109/lra.2021.3093871

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

Autorzy: Nikolaos Passalis, Jenni Raitoharju, Anastasios Tefas, Moncef Gabbouj
Opublikowane w: Pattern Recognition, Numer 105, 2020, Strona(/y) 107346, ISSN 0031-3203
Wydawca: Pergamon Press
DOI: 10.1016/j.patcog.2020.107346

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

Autorzy: Nikolaos Passalis, Anastasios Tefas
Opublikowane w: Signal Processing: Image Communication, Numer 93, 2021, Strona(/y) 116146, ISSN 0923-5965
Wydawca: Elsevier BV
DOI: 10.1016/j.image.2021.116146

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

Autorzy: D. Honerkamp, T. Welschehold, A. Valada
Opublikowane w: IEEE Transactions on Robotics, Numer Volume: 39, Numer: 5, 2023, ISSN 1941-0468
Wydawca: IEEE
DOI: 10.1109/tro.2023.3284346

Neural Architecture Search by Estimation of Network Structure Distributions

Autorzy: Anton Muravev, Jenni Raitoharju, Moncef Gabbouj
Opublikowane w: IEEE Access, Numer 9, 2021, Strona(/y) 15304-15319, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/access.2021.3052996

Probabilistic Class-Specific Discriminant Analysis

Autorzy: Alexandros Iosifidis
Opublikowane w: IEEE Access, Numer 8, 2020, Strona(/y) 183847-183855, ISSN 2169-3536
Wydawca: 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

Autorzy: Martin Büchner and Abhinav Valada
Opublikowane w: IEEE Robotics and Automation Letters, Numer 23773766, 2022, ISSN 2377-3766
Wydawca: IEEE
DOI: 10.1109/lra.2022.3191558

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

Autorzy: José Arce, Niclas Vödisch, Daniele Cattaneo, Wolfram Burgard, Abhinav Valada
Opublikowane w: IEEE Robotics and Automation Letters (RA-L), Numer vol. 8, issue 3, pp. 1319-1326, 2023, ISSN 2377-3766
Wydawca: IEEE
DOI: 10.1109/lra.2023.3239312

EfficientPS: Efficient Panoptic Segmentation

Autorzy: Rohit Mohan, Abhinav Valada
Opublikowane w: International Journal of Computer Vision, Numer 129/5, 2021, Strona(/y) 1551-1579, ISSN 0920-5691
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s11263-021-01445-z

Remote Multilinear Compressive Learning with Adaptive Compression

Autorzy: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Opublikowane w: IEEE Internet of Things Journal, 2021, Strona(/y) 1-1, ISSN 2327-4662
Wydawca: Institute of Electrical and Electronics Engineers Inc.
DOI: 10.1109/jiot.2021.3114743

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

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Opublikowane w: Pattern Recognition Letters, Numer Volume 179, March 2024, 2024, Strona(/y) 17-23, ISSN 1872-7344
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Using synthesized facial views for active face recognition

Autorzy: Efstratios Kakaletsis, Nikos Nikolaidis
Opublikowane w: Machine Vision and Applications, Numer Volume 34, Numer 4, 2023, ISSN 1432-1769
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Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning

Autorzy: Daniel Honerkamp, Tim Welschehold, Abhinav Valada
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Coordinating Shared Tasks in Human-Robot Collaboration by Commands

Autorzy: Alexandre Angleraud, Amir Mehman Sefat, Metodi Netzev and Roel Pieters
Opublikowane w: Frontiers in Robotics and AI, Numer 8, 2021, ISSN 2296-9144
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Improving knowledge distillation using unified ensembles of specialized teachers

Autorzy: Adamantios Zaras, Nikolaos Passalis, Anastasios Tefas
Opublikowane w: Pattern Recognition Letters, Numer 146, 2021, Strona(/y) 215-221, ISSN 0167-8655
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EfficientLPS: Efficient LiDAR Panoptic Segmentation

Autorzy: Sirohi, Kshitij; Mohan, Rohit; Büscher, Daniel; Burgard, Wolfram; Valada, Abhinav
Opublikowane w: IEEE Transactions on Robotics, Numer vol.38, no. 3, 2021, Strona(/y) 1894-1914, ISSN 1552-3098
Wydawca: Institute of Electrical and Electronics Engineers

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

Autorzy: Halil Ibrahim Ugurlu, Xuan Huy Pham and Erdal Kayacan
Opublikowane w: Robotics, 2022, ISSN 2218-6581
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Probabilistic Online Self-Distillation

Autorzy: M. Tzelepi, N. Passalis and A. Tefas
Opublikowane w: Neurocomputing, Numer 09252312, 2022, ISSN 0925-2312
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Sensor-based human–robot collaboration for industrial tasks

Autorzy: A. Angleraud, A. Ekrekli, K. Samarawickrama, G. Sharma and R. Pieters
Opublikowane w: Robotics and Computer-Integrated Manufacturing (RCIM), 2023, ISSN 0736-5845
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Class mean vector component and discriminant analysis

Autorzy: Alexandros Iosifidis
Opublikowane w: Pattern Recognition Letters, Numer 140, 2020, Strona(/y) 207-213, ISSN 0167-8655
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Recurrent bag-of-features for visual information analysis

Autorzy: Marios Krestenitis, Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Opublikowane w: Pattern Recognition, Numer 106, 2020, Strona(/y) 107380, ISSN 0031-3203
Wydawca: Pergamon Press
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Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices

Autorzy: Nikolaos Passalis, Alexandros Iosifidis, Moncef Gabbouj, Anastasios Tefas
Opublikowane w: IEEE Transactions on Neural Networks and Learning Systems, 2020, Strona(/y) 1-6, ISSN 2162-237X
Wydawca: IEEE Computational Intelligence Society
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Multilinear Compressive Learning

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Opublikowane w: IEEE Transactions on Neural Networks and Learning Systems, 2020, Strona(/y) 1-13, ISSN 2162-237X
Wydawca: IEEE Computational Intelligence Society
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Continual spatio-temporal graph convolutional networks

Autorzy: Lukas Hedegaard, Negar Heidari and Alexandros Iosifidis
Opublikowane w: Pattern Recognition, 2023, ISSN 0031-3203
Wydawca: Pergamon Press
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Attention-Based Neural Bag-of-Features Learning for Sequence Data

Autorzy: Dat Thanh Tran; Nikolaos Passalis; Anastasios Tefas; Moncef Gabbouj; Alexandros Iosifidis
Opublikowane w: IEEE Access, 2022, Strona(/y) 45542-45552, ISSN 2169-3536
Wydawca: Institute of Electrical and Electronics Engineers Inc.
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Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning

Autorzy: Jonas Kulhanek, Erik Derner, Robert Babuska
Opublikowane w: IEEE Robotics and Automation Letters, Numer 6/3, 2021, Strona(/y) 4345-4352, ISSN 2377-3766
Wydawca: IEEE
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Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol

Autorzy: Lukas Hedegaard Morsing, Omar Ali Sheikh-Omar, Alexandros Iosifidis
Opublikowane w: IEEE Transactions on Image Processing, 2021, ISSN 1057-7149
Wydawca: Institute of Electrical and Electronics Engineers
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Neural Attention-Driven Non-Maximum Suppression for Person Detection

Autorzy: Symeonidis, Charalampos and Mademlis, Ioannis and Pitas, Ioannis and Nikolaidis, Nikos
Opublikowane w: IEEE Transactions on Image Processing, 2023, ISSN 1057-7149
Wydawca: Institute of Electrical and Electronics Engineers
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Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation

Autorzy: Mohan, Rohit and Valada, Abhinav
Opublikowane w: IEEE Robotics and Automation Letters, Numer 23773766, 2022, ISSN 2377-3766
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Variational Neural Networks implementation in Pytorch and JAX(R)

Autorzy: Illia Oleksiienko, Dat Thanh Tran and Alexandros Iosifidis
Opublikowane w: Software Impacts, 2022, ISSN 2665-9638
Wydawca: Elsevier
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Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization

Autorzy: Maria Tzelepi, Anastasios Tefas
Opublikowane w: Pattern Recognition, Numer 106, 2020, Strona(/y) 107407, ISSN 0031-3203
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Guest Editorial: Special Issue on Artificial Intelligence for Robotics

Autorzy: W. He, Z. Li, E. Kayacan, C. Huang and M. V. Basin
Opublikowane w: IEEE Transactions on Artificial Intelligence, 2021, ISSN 2691-4581
Wydawca: IEEE
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Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning

Autorzy: Bešić, Borna; Valada, Abhinav
Opublikowane w: IEEE Transactions on Intelligent Vehicles, Numer 23798858, 2022, Strona(/y) 170-185, ISSN 2379-8858
Wydawca: IEEE

Structured Pruning Adapters

Autorzy: Lukas Hedegaard, Aman Alok, Juby Jose, Alexandros Iosifidis
Opublikowane w: ArXiv, 2022
Wydawca: ArXiv

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

Autorzy: Abdelhakim Amer, Olaya Álvarez-Tuñón, Halil Ibrahim Ugurlu, Jonas le Fevre Sejersen, Yury Brodskiy and Erdal Kayacan
Opublikowane w: arXiv, 2023
Wydawca: arXiv

Uncertainty-Aware AB3DMOT by Variational 3D Object Detection

Autorzy: Illia Oleksiienko and Alexandros Iosifidis
Opublikowane w: arXiv, 2023
Wydawca: arXiv

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

Autorzy: N. Dorka, J. Boedecker, W. Burgard
Opublikowane w: IEEE Robotics and Automation Letters, Numer Volume: 8, Numer: 2,, 2022, Strona(/y) 624 - 631
Wydawca: IEEE
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Multilinear Compressive Learning with Prior Knowledge

Autorzy: Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
Opublikowane w: 2020
Wydawca: arXiv

Variational Voxel Pseudo Image Tracking

Autorzy: Illia Oleksiienko, Paraskevi Nousi, Nikolaos Passalis, Anastasios Tefas and Alexandros Iosifidis
Opublikowane w: arXiv, 2023
Wydawca: arXiv

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

Autorzy: I. Oleksiienko, P. Nousi, N. Passalis, A. Tefas and A. Iosifidis
Opublikowane w: arXiv preprint, 2022
Wydawca: arxiv.2206.02619
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Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds

Autorzy: Abdelrahman Younes, Daniel Honerkamp, Tim Welschehold, Abhinav Valada
Opublikowane w: IEEE Robotics and Automation Letters, Numer Volume: 8, Numer: 2, 2023, Strona(/y) 928 - 935
Wydawca: IEEE
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Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions

Autorzy: Osama Mazhar, Jens Kober
Opublikowane w: 2021
Wydawca: ArXiv

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

Autorzy: D. Honerkamp, S. Guttikonda, A. Valada,
Opublikowane w: arXiv, 2022
Wydawca: arXiv

Learning Diversified Feature Representations for Facial Expression Recognition in the Wild

Autorzy: Negar Heidari and Alexandros Iosifidis
Opublikowane w: arXiv preprint, 2022
Wydawca: arXiv

Knowledge Distillation By Sparse Representation Matching

Autorzy: Tran, Dat Thanh; Gabbouj, Moncef; Iosifidis, Alexandros
Opublikowane w: Numer 6, 2021
Wydawca: arxiv

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