Publications

Presentations

No.	Title
01	OpenDR Project Poster
02	OpenDR Factsheet
03	OpenDR Video Presentation
04	ICME 2020, Presentation of paper: “Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting”
05	CVPR 2020, Presentation of paper: “Heterogeneous Knowledge Distillation using Information Flow Modeling”
06	AIAI 2020, Presentation of paper: “Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics”
07	Fosscomm 2020, Presentation of paper: “Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics”
08	BDVA Workshop, Presentation: “Standards, formats and interoperability protocols for Deep Learning models in OpenDR”

OpenDR in the Media

01	www.inewsgr.com
02	www.thestival.gr
03	www.ipaidia.gr
04	www.makthes.gr
05	analitis.gr
06	www.amna.gr
07	www.fm100.gr
08	parallaximag.gr
09	www.alfavita.gr
10	www.epixeiro.gr
11	thesstoday.gr
12	www.ictplus.gr
13	www.fm100.gr
14	www.agro24.gr
15	www.economix.gr
16	www.youtube.com

Scientific Papers

Journals

No.	Title	Authors	Journal
01	Multilinear Compressive Learning	D. Thanh Tran, M. Yamaç, A. Degerli, M. Gabbouj, A. Iosifidis	IEEE Transactions on Neural Networks and Learning Systems, 2020, *Disclaimer
02	Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices	N. Passalis, A. Iosifidis, M. Gabbouj, and A. Tefas	IEEE Transactions on Neural Networks and Learning Systems, 2020 *Disclaimer
03	Improving the performance of lightweight CNNs for binary classification using Quadratic Mutual Information regularization	M. Tzelepi and A.Tefas	Pattern Recognition, 2020
04	EfficientPS: Efficient Panoptic Segmentation	R. Mohan and A. Valada	International Journal of Computer Vision, 2020
05	Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits	N. Passalis, J. Raitoharju, A.Tefas, M. Gabbouj	Pattern Recognition, 2020
06	Probabilistic Class-Specific Discriminant Analysis	A. Iosifidis	IEEE Access, 2020, *Disclaimer
07	Class Mean Vector Component and Discriminant Analysis	A. Iosifidis	Pattern Recognition Letters, 2020
08	Recurrent bag-of-features for visual information analysis	M. Krestenitis, N. Passalis, A. Iosifidis, M. Gabbouj and A. Tefas	Pattern Recognition, 2020
09	Neural Architecture Search by Estimation of Network Structure Distributions	A. Muravev, J. Raitoharju and M. Gabbouj	IEEE Access, 2021, *Disclaimer
10	Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval	N. Passalis and A. Tefas	Signal Processing: Image Communication, 2021
11	Improving knowledge distillation using unified ensembles of specialized teachers	A. Zaras, N. Passalis, A. Tefas	Pattern Recognition Letters, 2021
12	GEM: Glare or Gloom, I Can Still See You — End-to-End Multimodal Object Detector	O. Mazhar, J. Kober and R. Babuska	IEEE Robotics and Automation Letters, *Disclaimer
13	Learning Kinematic Feasibility for Mobile Manipulation Through Deep Reinforcement Learning	D. Honerkamp, T. Welschehold, A. Valada	IEEE Robotics and Automation Letters, *Disclaimer
14	Visual Navigation in Real-World Indoor Environments Using End-to-End Deep Reinforcement Learning	J. Kulhanek, E. Derner, R. Babuska	IEEE Robotics and Automation Letters, *Disclaimer
15	Coordinating Shared Tasks in Human-Robot Collaboration by Commands	A. Angleraud, A. M. Sefat Metodi Netzev, R. Pieters	Frontiers in Robotics and AI, 2021
16	Supervised Domain Adaptation: A Graph Embedding Perspective and a Rectified Experimental Protocol	L. Hedegaard, O. Sheikh-Omar, A.Iosifidis	IEEE Transactions on Image Processing, 2021, *Disclaimer
17	EfficientLPS: Efficient LiDAR Panoptic Segmentation”>SEfficientLPS: Efficient LiDAR Panoptic Segmentation	Sirohi, Kshitij; Mohan, Rohit; Büscher, Daniel; Burgard, Wolfram; Valada, Abhinav	IEEE Transactions on Robotics (T-RO),2021, *Disclaimer
18	Remote Multilinear Compressive Learning with Adaptive Compression	Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis	IEEE Internet of Things Journal, Early Access, 2021, *Disclaimer
19	Attention-based Neural Bag-of-Features Learning for Sequence Data	D. T. Tran, N. Passalis, A. Tefas, M. Gabbouj and A. Iosifidis	IEEE Access, 2022, *Disclaimer
20	Dynamic Object Removal and Spatio-Temporal RGB-D Inpainting via Geometry-Aware Adversarial Learning	B. Besic and A. Valada	IEEE Transactions on Intelligent Vehicles, 2022, *Disclaimer
21	Probabilistic Online Self-Distillation	M. Tzelepi, N. Passalis and A. Tefas	Neurocomputing, 2022
22	3D Multi-Object Tracking Using Graph Neural Networks with Cross-Edge Modality Attention	M. Buchner, A. Valada	IEEE Robotics and Automation Letters, 2022, *Disclaimer
23	Perceiving the Invisible: Proposal-Free Amodal Panoptic Segmentation	R. Mohan, A. Valada	IEEE Robotics and Automation Letters, 2022, *Disclaimer
24	Variational Neural Networks implementation in Pytorch and JAX	I. Oleksiienko, D. T. Tran A. Iosifidis	Software Impacts, 2022
25	Sim-to-Real Deep Reinforcement Learning for Safe End-to-End Planning of Aerial Robots	H. I. Ugurlu, X.H. Pham, E. Kayacan	Robotics, 2022
26	Catch Me If You Hear Me: Audio-Visual Navigation in Complex Unmapped Environments with Moving Sounds	A. Younes, D. Honerkamp, T. Welschehold, and A. Valada	IEEE Robotics and Automation Letters, 2023, *Disclaimer
27	Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning	N. Dorka, T. Welschehold, J. Boedecker, and W. Burgard	IEEE Robotics and Automation Letters, 2023, *Disclaimer
28	PADLoC: LiDAR-Based Deep Loop Closure Detection and Registration using Panoptic Attention	J. Arce, N. Vödisch, D. Cattaneo, W. Burgard, A. Valada	IEEE Robotics and Automation Letters, 2023, *Disclaimer
29	Neural Attention-Driven Non-Maximum Suppression for Person Detection	C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis	IEEE Transactions on Image Processing, 2023, *Disclaimer
30	Using synthesized facial views for active face recognition	E. Kakaletsis and N. Nikolaidis	Machine Vision and Applications, 2023
31	N2M2: Learning Navigation for Arbitrary Mobile Manipulation Motions in Unseen and Dynamic Environments	D. Honerkamp, T. Welschehold, A. Valada	IEEE Transactions on Robotics, 2023 *Disclaimer
32	Sensor-based human-robot collaboration for Industrial Tasks	A. Angleraud, A. Ekrekli, K. Samarawickrama, G. Sharma and R. Pieters	Robotics and Computer Integrated Manufacturing, 2023
33	Learning Hierarchical Interactive Multi-Object Search for Mobile Manipulation	F. Schmalstieg, D. Honerkamp, T. Welschehold, A. Valada	IEEE Robotics and Automation Letters, 2023 *Disclaimer
34	A Synthetic Human-Centric Dataset Generation Pipeline for Active Robotic Vision	C. Georgiadis, N. Passalis, N. Nikolaidis	Pattern Recognition Letters, 2024

Conferences

No.	Title	Authors	Conference
01	Heterogeneous Knowledge Distillation using Information Flow Modeling (Code)	Ν. Passalis, M. Tzelepi, and A. Tefas	IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, *Disclaimer
02	Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics (Code)	M. Kirtas, K. Tsampazis, N. Passalis, and A. Tefas	16th International Conference on Artificial Intelligence Applications and Innovations (ΑΙΑΙ), 2020
03	Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting (Code)	A. Tzimas, N. Passalis, and A. Tefas	IEEE International Conference on Multimedia and Expo (ICME), 2020, *Disclaimer
04	Quadratic Mutual Information Regularization in real-time deep CNN models	M. Tzelepi and A.Tefas	IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2020, *Disclaimer
05	Robust Hypersphere-based Weight Imprinting for Few-shot Learning	N. Passalis, A. Iosifidis, M. Gabbouj, and A. Tefas	European Signal Processing Conference (EUSIPCO), 2020
06	CMRNet++: Map and Camera Agnostic Monocular Visual Localization in LiDAR Maps	D. Cattaneo, D. Sorrenti and A. Valada	ICRA Workshop on Emerging Learning and Algorithmic Methods for Data Association in Robotics, 2020
07	Improving Visual Question Answering using Active Perception on Static Images	T. Bozinis, N. Passalis and A. Tefas	25th International Conference on Pattern Recognition (ICPR), 2020
08	Leveraging Active Perception for Improving Embedding-based Deep Face Recognition	N. Passalis, and A. Tefas	IEEE International Workshop on Multimedia Signal Processing (MMSP), 2020, *Disclaimer
09	Temporal Attention-Augmented Graph Convolutional Network for Efficient Skeleton-Based Human Action Recognition	N. Heidari and A. Iosifidis	25th International Conference on Pattern Recognition (ICPR), 2020
10	Supervised Domain Adaptation using Graph Embedding	L. Hedegaard Morsing, O. Ali Sheikh-Omar and A. Iosifidis	25th International Conference on Pattern Recognition (ICPR), 2020
11	Human Action Recognition using Recurrent Bag-of-Features Pooling	M. Krestenitis, N. Passalis, A. Iosifidis, M. Gabbouj and A. Tefas	25th International Conference on Pattern Recognition (ICPR), 2020
12	Subset Sampling For Progressive Neural Network Learning	Dat Thanh Tran, Moncef Gabbouj and Alexandros Iosifidis	IEEE International Conference on Image Processing (ICIP), 2020,*Disclaimer
13	Performance Indicator in Multilinear Compressive Learning	D. Tran, M. Gabbouj and A. Iosifidis	IEEE Symposium Series on Computational Intelligence (SSCI), 2020, *Disclaimer
14	MOPT: Multi-Object Panoptic Tracking	J. Hurtado, R. Mohan, W. Burgard, A. Valada	The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Scalability in Autonomous Driving, 2020, *Disclaimer
15	Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval	N. Passalis and A. Tefas	25th International Conference on Pattern Recognition (ICPR), 2020
16	Efficient Adaptive Inference leveraging Bag-of-Features-based Early Exits	N.Passalis, J. Raitoharju, M. Gabbuj and A. Tefas	ΙΕΕΕ International Workshop on Multimedia Signal Processing (MMSP), 2020, *Disclaimer
17	Progressive spatio-temporal graph convolutional network for skeleton-based human action recognition	N. Heidari and A. Iosifidis	IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2021, *Disclaimer
18	On the spatial attention in Spatio-Temporal Graph Convolutional Networks for skeleton-based human action recognition	N. Heidari and A. Iosifidis	International Joint Conference on Neural Networks (IJCNN), 2021
19	Efficient Realistic Data Generation Framework leveraging Deep Learning-based Human Digitization	C. Symeonidis, P. Nousi, P. Tosidis, K. Tsampazis, N. Passalis, A. Tefas, and N. Nikolaidis	22nd International Conference on Engineering Applications of Neural Networks (EANN), 2021
20	Semantic Scene Segmentation for Robotics Applications	M. Tzelepi and A. Tefas	12th International Conference on Information, Intelligence, Systems and Applications (IISA), 2021
21	Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exit	N. Passalis and A. Tefas	29th European Signal Processing Conference, (EUSIPCO), 2021
22	Learning to ignore: rethinking attention in CNNs	F. Laakom, K. Chumachenko, J. Raitoharju, A. Iosifidis and M. Gabbouj	British Machine Vision Conference, 2021
23	Inclined Quadrotor Landing using Deep Reinforcement Learning	J. E. Kooi, and R. Babuska	IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021, *Disclaimer
24	Pseudo-Active Vision for Improving Deep Visual Perception Through Neural Sensory Refinement	N. Passalis and A. Tefas	IEEE International Conference on Image Processing (ICIP), 2021, *Disclaimer
25	Temporal Difference Rewards for End-to-end Vision-based Active Robot Tracking using Deep Reinforcement Learning	P. Tiritiris, N. Passalis and A. Tefas	International Conference on Emerging Techniques in Computational Intelligence (ICETCI), 2021
26	Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation	M. Tzelepi and A. Tefas	IEEE International Conference on Multimedia and Expo (ICME), 2021, *Disclaimer
27	Speech Command Recognition in Computationally Constrained Environments with a Quadratic Self-organized Operational Layer	M. Soltanian, J. Malik, J. Raitoharju, A.Iosifidis, S. Kiranyaz, M. Gabbouj	International Joint Conference on Neural Networks
28	Analysis of Voxel-Based 3D Object Detection Methods Efficiency for Real-Time Embedded Systems	I. Oleksiienko and A. Iosifidis	IEEE International Conference on Emerging Techniques in Computational Intelligence, *Disclaimer
29	DeepKoCo: Efficient latent planning with a robust Koopman representation	Bas van der Heijden, L. Ferranti, J. Kober, R. Babuska	IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), *Disclaimer
30	Event-based Navigation for Autonomous Drone Racing with Sparse Gated Recurrent Network	K. F. Andersen, H. X. Pham, H. I. Ugurlu and E. Kayacan	European Control Community 2022
31	Progressive Spatio-Temporal Bilinear Network with Monte Carlo Dropout for Landmark-based Facial Expression Recognition with Uncertainty Estimation	N. Heidari and A. Iosifidis	IEEE International Workshop on Multimedia Signal Processing , 2021, *Disclaimer
32	Self-attention fusion for audiovisual emotion recognition with incomplete data	K. Chumachenko, A. Iosifidis and Moncef Gabbouj	International Conference on Pattern Recognition, Montreal, Quebec, Canada (ICPR), 2022
33	Automatic Dataset Generation From CAD for Vision-Based Grasping	S. Ahmad, K. Samarawickrama, E. Rahtu and R. Pieters.	20th International Conference on Advanced Robotics (ICAR), 2021
34	Rethinking compactness in deep neural network	K. Chumachenko, F. Laako, J. Raitoharju, A. Iosifidis and Moncef Gabbouj	ICML Workshop on Overparameterization: Pitfalls & Opportunities, 2021
35	Improving binary semantic scene segmentation for robotics applications	M. Tzelepi, N. Tragkas, and A. Tefas	23rd International Conference on Engineering Applications of Neural Networks, 2022
36	Self-attention Neural Bag-of-Features	K. Chumachenko, A. Iosifidis and M. Gabbouj	IEEE International Workshop on Machine Learning for Signal Processing, 2022, *Disclaimer
37	Real-time synthetic-to-real human detection for robotics applications	M. Tzelepi, C. Symeonidis, N. Nikolaidis and A. Tefas	Thirteen IEEE International Conference on Information, Intelligence, Systems and Applications (IISA), 2022, *Disclaimer
38	Multilayer Online Self-Acquired Knowledge Distillation	M. Tzelepi, C. Symeonidis, N. Nikolaidis and A. Tefas	26th International Conference on Pattern Recognition (ICPR), 2022
39	Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning	P. Tosidis, N. Passalis, and A. Tefas	30th European Signal Processing Conference (EUSIPCO), 2022
40	A UAV Video Data Generation Framework for Improved Robustness of UAV Detection Methods	C. Symeonidis, C. Anastasiadis, N. Nikolaidis	IEEE 24th International Workshop on Multimedia Signal Processing (MMSP), 2022, *Disclaimer
41	Continual SLAM: Beyond Lifelong Simultaneous Localization and Mapping through Continual Learning	N. Vödisch, D. Cattaneo, W. Burgard and A. Valada	International Symposium on Robotics Research (ISRR), 2022
42	OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics	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	2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022, *Disclaimer
43	Continual 3D Convolutional Neural Networks for Real-time Processing of Videos	L. Hedegaard and A. Iosifidis	European Conference on Computer Vision (ECCV), 2022
44	Continual Inference: A Library for Efficient Online Inference with Deep Neural Networks in PyTorch	L. Hedegaard and A. Iosifidis	European Conference on Computer Vision (ECCV), 2022
45	Continual Transformers: Redundancy-Free Attention for Online Inference	L. Hedegaard, A. Bakhtiarnia and A. Iosifidis	Neural Information Processing Systems (Neural IPS) Workshops, 2022
46	Auth-Persons: A Dataset for Detecting Humans in Crowds from Aerial Views	C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis	Proceedings of the IEEE International Conference on Image Processing (ICIP), 2022,*Disclaimer
47	Dynamic Update-toData Ratio: Minimizing World Model Overfitting	N.Dorka, T. Welschehold, and W.Burgard	Decision Awareness in Reinforcement Learning Workshop at the 39th International Conference on Machine Learning (ICML), 2022
48	A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields	P. Nousi, E. Mpampis, N. Passalis, O. Green and A. Tefas	IEEE Symposium Series On Computational Intelligence (SSCI), 2022,*Disclaimer
49	Efficient Feature Extraction for Non-Maximum Suppression in Visual Person Detection	C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis	IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023, *Disclaimer
50	Deep Reinforcement Learning with Action Masking for Differential-Drive Robot Navigation using Low-cost Sensors	K. Tsampazis, M. Kirtas, P. Tosidis, N. Passalis and A. Tefas	IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023,*Disclaimer
51	Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcemet Learning	D. Tsiakmakis, N. Passalis and A. Tefas	European Signal Processing Conference (EUSIPCO), 2023
52	Active Face Recognition through View Synthesis	E. Kakaletsis and N. Nikolaidis	European Signal Processing Conference (EUSIPCO), 2023
53	Layer Ensembles	I. Oleksiienko and A. Iosifidis	IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023,*Disclaimer
54	>Deep Reinforcement Learning with Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors	K. Tsampazis, M. Kirtas, P. Tosidis, N. Passalis and A. Tefas	IEEE International Workshop on Machine Learning for Signal Processing (MLSP), 2023*Disclaimer
55	CoVIO: Online Continual Learning for Visual-Inertial Odometry	N. Vödisch, D. Cattaneo, W. Burgard, A. Valada	The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshop on Continual Learning, 2023,*Disclaimer
56	End-to-end Trainable Gaussian Filtering For Electrocardiogram Signal Classification Using Deep Learning	A. Nalmpantis, Ν. Passalis, and Α. Tefas	European Signal Processing Conference (EUSIPCO), 2023
57	Using Part-based Representations for Explainable Deep Reinforcement Learning	M. Kirtas, K. Tsampazis, L. Avramelou, Ν. Passalis, and Α. Tefas	ECML PKDD – Workshop: Uncertainty meets Explainability, 2023
58	Prioritizing States with Action Sensitive Return in Experience Replay	A. Keijzer, B. van der Heijden, and J. Kober	Sixteenth European Workshop on Reinforcement Learning (EWRL), 2023
59	ActiveFace: A Synthetic Active Perception Dataset for Face Recognition	C. Georgiadis, N. Passalis, N. Nikolaidis	IEEE 25th International Workshop on Multimedia Signal Processing (MMSP), 2023,*Disclaimer
60	Enabling High-Resolution Pose Estimation in Real Time Using Active Perception	T. Manousis, N. Passalis and A. Tefas	IEEE International Conference on Image Processing (ICIP), 2023,*Disclaimer
61	Deep Active Perception for Object Detection using Navigation Proposals	S. Ginargiros, N.Passalis and A. Tefas	IEEE Symposium Series on Computational Intelligence (SSCI), 2023,*Disclaimer
62	Deep Active Robotic Perception for Improving Face Recognition Under Occlusions	V. Dimaridou, N. Passalis and A. Tefas	IEEE Symposium Series on Computational Intelligence (SSCI), 2023,*Disclaimer
63	CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation	N. Vödisch, K. Petek, W. Burgard, A. Valada	Robotics: Science and Systems (RSS), 2023,
64	Improving Deep Dynamics Models for Autonomous Vehicles with Multimodal Latent Mapping of Surfaces	J. Vertens, N. Dorka, T. Welschehold, M. Thompson, and W. Burgard	IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023, *Disclaimer
65	Guidance of Agricultural Ground Robots Team with an Aerial Vehicle: A Cost-Effective Solution,	H. I. Ugurlu, D. Bardakci, H. X. Pham, and E. Kayacan	56th International Symposium on Robotics (ISR), 2023
66	Multi-label Annotation for Visual MultiTask Learning Models	G. Sharma, A. Angleraud, R. Pieters	IEEE International Conference on Robotic Computing (IRC), 2023, *Disclaimer
67	Co-speech gestures for human-robot collaboration	A. Ekrekli, A. Angleraud, G. Sharma and R. Pieters	IEEE International Conference on Robotic Computing (IRC), 2023, *Disclaimer
68	“EValueAction: a proposal for policy evaluation in simulation to support interactive imitation learning	F. Sibona, J. Luijkx, B. van der Heijden, L. Ferranti, and M. Indri	IEEE 21st International Conference on Industrial Informatics (INDIN), 2023, *Disclaimer

Preprints

No.	Title	Authors
01	Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions	O. Mazhar and J. Kober
02	Multilinear Compressive Learning with Prior Knowledge	Dat Thanh Tran, Moncef Gabbouj, Alexandros Iosifidis
03	Knowledge Distillation By Sparse Representation Matching	Tran, Dat Thanh; Gabbouj, Moncef; Iosifidis, Alexandros
04	Online Skeleton-based Action Recognition with Continual Spatio-Temporal Graph Convolutional Networks	L. Hedegaard, N. Heidari, A. Iosifidis
05	Active Particle Filter Networks: Efficient Active Localization in Continuous Action Spaces and Large Maps	D. Honerkamp, S. Guttikonda, and A. Valada
06	Neural Attention driven Non-Maximum Suppression for Person Detection	C. Symeonidis, I. Mademlis, I. Pitas and N. Nikolaidis
07	Learning Diversified Feature Representations for Facial Expression Recognition in the Wild	N. Heidari and A. Iosifidis
08	VPIT: Realtime Embedded Single Object 3D Tracking Using Voxel Pseudo Images	I. Oleksiienko, P. Nousi, N. Passalis, A. Tefas and A. Iosifidis
9	Structured Pruning Adapters	L. Hedegaard, A. Alok, J. Jose and A. Iosifidis
11	Collaborative Dynamic 3D Scene Graphs for Automated Driving	Elias Greve, Martin Büchner, Niclas Vödisch, Wolfram Burgard, Abhinav Valada
12	Few-Shot Panoptic Segmentation With Foundation Models	Markus Käppeler, Kürsat Petek, Niclas Vödisch, Wolfram Burgard, Abhinav Valada

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Newsletters

No.	Title
01	The First Newsletter of the OpenDR Project
02	The Second Newsletter of the OpenDR Project
03	The Third Newsletter of the OpenDR Project
04	The Final Newsletter of the OpenDR Project

Press releases

No.	Title
01	The First Press Release of the OpenDR Project
02	The Second Press Release of the OpenDR Project
03	The Third Press Release of the OpenDR Project

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