Tomasz Trzcinski

ORCID

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 195

Top Venues

Publications

Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
Let Me DeCode You: Decoder Conditioning with Tabular Data. CoRR (2024)
Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania, Marcin Mazur
Modeling 3D Surfaces with a Locally Conditioned Atlas. ICCS (2) (2024)
Michal Nauman, Michal Bortkiewicz, Mateusz Ostaszewski, Piotr Milos, Tomasz Trzcinski, Marek Cygan
Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. CoRR (2024)
Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski
Divide and not forget: Ensemble of selectively trained experts in Continual Learning. CoRR (2024)
Bartlomiej Krzepkowski, Monika Michaluk, Franciszek Szarwacki, Piotr Kubaty, Jary Pomponi, Tomasz Trzcinski, Bartosz Wójcik, Kamil Adamczewski
Joint or Disjoint: Mixing Training Regimes for Early-Exit Models. CoRR (2024)
Valeriya Khan, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski
Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning. IEEE Access 12 (2024)
Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. CoRR (2024)
Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki
Towards More Realistic Membership Inference Attacks on Large Diffusion Models. WACV (2024)
Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. 248 (2024)
Monika Wysoczanska, Michaël Ramamonjisoa, Tomasz Trzcinski, Oriane Siméoni
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free. WACV (2024)
Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
MISS: Multiclass Interpretable Scoring Systems. CoRR (2024)
Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. WACV (2024)
Monika Wysoczanska, Antonín Vobecký, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation. CoRR (2024)
Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski
Divide and not forget: Ensemble of selectively trained experts in Continual Learning. ICLR (2024)
Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). AAAI (2024)
Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert
MagMax: Leveraging Model Merging for Seamless Continual Learning. CoRR (2024)
Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard
Toward Unsupervised Visual Reasoning: Do Off-the-Shelf Features Know How to Reason? IEEE Access 12 (2024)
Dominik Zimny, Joanna Waczynska, Tomasz Trzcinski, Przemyslaw Spurek
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. Pattern Recognit. Lett. 185 (2024)
Sebastian Cygert, Damian Sójka, Tomasz Trzcinski, Bartlomiej Twardowski
Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection. CoRR (2024)
Filip Szatkowski, Fei Yang, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer
Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning. CoRR (2024)
Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski
GUIDE: Guidance-based Incremental Learning with Diffusion Models. CoRR (2024)
Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
MISS: Multiclass Interpretable Scoring Systems. SDM (2024)
Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski
Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning. ICAART (1) (2024)
Mateusz Pyla, Kamil Deja, Bartlomiej Twardowski, Tomasz Trzcinski
Bayesian Flow Networks in Continual Learning. CoRR (2023)
Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. CoRR (2023)
Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS (2023)
Valeriya Khan, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski
Looking through the past: better knowledge retention for generative replay in continual learning. CoRR (2023)
Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. ICCV (Workshops) (2023)
Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
Revisiting Supervision for Continual Representation Learning. CoRR (2023)
Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
Disentangled Continual Learning: Separating Memory Edits from Model Updates. CoRR (2023)
Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki
Towards More Realistic Membership Inference Attacks on Large Diffusion Models. CoRR (2023)
Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. CoRR (2023)
Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. NeurIPS (2023)
Michal K. Grzeszczyk, Paulina Adamczyk, Sylwia Marek, Ryszard Precikowski, Maciej Kus, M. Patrycja Lelujko, Rosmary Blanco, Tomasz Trzcinski, Arkadiusz Sitek, Maciej Malawski, Aneta Lisowska
Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load. CoRR (2023)
Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
Learning Data Representations with Joint Diffusion Models. CoRR (2023)
Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. ICCV (Workshops) (2023)
Monika Wysoczanska, Michaël Ramamonjisoa, Tomasz Trzcinski, Oriane Siméoni
CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free. CoRR (2023)
Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski
Active Visual Exploration Based on Attention-Map Entropy. CoRR (2023)
Michal Zajac, Kamil Deja, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzcinski, Florian Shkurti, Piotr Milos
Exploring Continual Learning of Diffusion Models. CoRR (2023)
Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
BlendFields: Few-Shot Example-Driven Facial Modeling. CoRR (2023)
Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. IEEE Access 11 (2023)
Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
Zero time waste in pre-trained early exit neural networks. Neural Networks 168 (2023)
Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. CoRR (2023)
Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
Hypernetworks Build Implicit Neural Representations of Sounds. ECML/PKDD (4) (2023)
Daniel Marczak, Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
Generalized Continual Category Discovery. CoRR (2023)
Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers. CoRR (2023)
Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba
Continual learning on 3D point clouds with random compressed rehearsal. Comput. Vis. Image Underst. 228 (2023)
Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN. CoRR (2023)
Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Ivana Isgum, Clara I. Sánchez, Arkadiusz Sitek
BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. Comput. Biol. Medicine 167 (2023)
Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez
CLIP-DINOiser: Teaching CLIP a few DINO tricks. CoRR (2023)
Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski
On consequences of finetuning on data with highly discriminative features. CoRR (2023)
Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
BlendFields: Few-Shot Example-Driven Facial Modeling. CVPR (2023)
Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew Swift, Andrew J. Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. CoRR (2023)
Kamil Deja, Bartosz Cywinski, Jan Rybarczyk, Tomasz Trzcinski
Adapt & Align: Continual Learning with Generative Models Latent Space Alignment. CoRR (2023)
Valeriya Khan, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
Looking through the past: better knowledge retention for generative replay in continual learning. ICCV (Workshops) (2023)
Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
Learning Data Representations with Joint Diffusion Models. ECML/PKDD (2) (2023)
Michal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
TabAttention: Learning Attention Conditionally on Tabular Data. MICCAI (7) (2023)
Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
Hypernetworks build Implicit Neural Representations of Sounds. CoRR (2023)
Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR (2023)
Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski
Active Visual Exploration Based on Attention-Map Entropy. IJCAI (2023)
Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek
HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population. IEEE Trans. Games 15 (4) (2023)
Anna Wróblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Siew Ann Cheong, Seng Chee Tan, Tomasz Trzcinski, Janusz A. Holyst
Deep Learning for Automatic Detection of Qualitative Features of Lecturing. AIED (1) (2022)
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
CoNeRF: Controllable Neural Radiance Fields. CVPR (2022)
Witold Oleszkiewicz, Dominika Basaj, Tomasz Trzcinski, Bartosz Zielinski
Which Visual Features Impact the Performance of Target Task in Self-supervised Learning? ICCS (1) (2022)
Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale. IEEE Robotics Autom. Lett. 7 (2) (2022)
Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski
Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. IJCAI (2022)
Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
Selectively increasing the diversity of GAN-generated samples. CoRR (2022)
Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
Selectively Increasing the Diversity of GAN-Generated Samples. ICONIP (1) (2022)
Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski
Emergency action termination for immediate reaction in hierarchical reinforcement learning. CoRR (2022)
Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba
Continual learning on 3D point clouds with random compressed rehearsal. CoRR (2022)
Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka
POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection. CoRR (2022)
Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. MICCAI (4) (2022)
Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
Progressive Latent Replay for efficient Generative Rehearsal. CoRR (2022)
Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard
Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? CoRR (2022)
Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub M. Tomczak
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models. NeurIPS (2022)
Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
Progressive Latent Replay for Efficient Generative Rehearsal. ICONIP (4) (2022)
Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
Continual Learning with Guarantees via Weight Interval Constraints. ICML (2022)
Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. CoRR (2022)
Przemyslaw Spurek, Artur Kasymov, M. Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
HyperPocket: Generative Point Cloud Completion. IROS (2022)
Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
Logarithmic Continual Learning. CoRR (2022)
Szymon Plotka, Adam Klasa, Aneta Lisowska, Joanna Seliga-Siwecka, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements. CoRR (2022)
Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek
Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. ICCS (3) (2022)
Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. CoRR (2022)
Tomasz Smierzchalski, Lukasz Pawela, Zbigniew Puchala, Tomasz Trzcinski, Bartlomiej Gardas
Post-error Correction for Quantum Annealing Processor Using Reinforcement Learning. ICCS (4) (2022)
Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka
POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection. ICCS (1) (2022)
Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
Continual Learning with Guarantees via Weight Interval Constraints. CoRR (2022)
D. Zimny, Tomasz Trzcinski, Przemyslaw Spurek
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. CoRR (2022)
Anna Wróblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Siew Ann Cheong, Tan Seng Chee, Tomasz Trzcinski, Janusz A. Holyst
A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing. CoRR (2022)
Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub M. Tomczak
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models. CoRR (2022)
Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
General Hypernetwork Framework for Creating 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Pawel Lorek, Rafal Nowak, Tomasz Trzcinski, Maciej Zieba
FlowHMM: Flow-based continuous hidden Markov models. NeurIPS (2022)
Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
Logarithmic Continual Learning. IEEE Access 10 (2022)
Michal Sadowski, Karol J. Piczak, Przemyslaw Spurek, Tomasz Trzcinski
Continual Learning of 3D Point Cloud Generators. ICONIP (1) (2021)
Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. IJCNN (2021)
Lukasz Struski, Pawel Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
Efficient GPU implementation of randomized SVD and its applications. CoRR (2021)
Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski
Explaining Self-Supervised Image Representations with Visual Probing. IJCAI (2021)
Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir K. Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
HyperPocket: Generative Point Cloud Completion. CoRR (2021)
Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
CoNeRF: Controllable Neural Radiance Fields. CoRR (2021)
Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski
End-to-End Sinkhorn Autoencoder With Noise Generator. IEEE Access 9 (2021)
Szymon Plotka, Tomasz Wlodarczyk, Ryszard Szczerba, Przemyslaw Rokita, Patrycja Bartkowska, Oskar Komisarek, Artur Matthews-Brzozowski, Tomasz Trzcinski
Convolutional Neural Networks in Orthodontics: a review. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tomasz Trzcinski