Tomasz Trzcinski

242 papers A* 21A 13B 3C 3Misc 2Journal 145Unranked 54

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Conditioned Activation Transport for T2I Safety Steering. CoRR Maciej Chrabaszcz, Aleksander Szymczyk, Jan Dubinski, Tomasz Trzcinski, Franziska Boenisch, Adam Dziedzic
2026	J	`jnl`	ELROND: Exploring and decomposing intrinsic capabilities of diffusion models. CoRR Pawel Skiers, Tomasz Trzcinski, Kamil Deja
2026	—	`conf`	Realistic Evaluation of Test-Time Adaptation: Unsupervised Model Selection. VISAPP (1) Sebastian Cygert, Damian Sójka, Tomasz Trzcinski, Bartlomiej Twardowski
2026	J	`jnl`	Reducing Estimation Uncertainty Using Normalizing Flows and Stratification. CoRR Pawel Lorek, Rafal Nowak, Rafal Topolnicki, Tomasz Trzcinski, Maciej Zieba, Aleksandra Krystecka
2025	J	`jnl`	1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities. CoRR Kevin Wang, Ishaan Javali, Michal Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach
2025	J	`jnl`	Adapt & Align: Continual Learning with Generative Models' Latent Space Alignment. Neurocomputing Kamil Deja, Bartosz Cywinski, Jan Rybarczyk, Tomasz Trzcinski
2025	J	`jnl`	Addressing The Devastating Effects Of Single-Task Data Poisoning In Exemplar-Free Continual Learning. CoRR Stanislaw Pawlak, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer
2025	A	`conf`	Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers. WACV Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski
2025	A	`conf`	ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts. ECAI Patryk Bedkowski, Jan Dubinski, Filip Szatkowski, Kamil Deja, Przemyslaw Rokita, Tomasz Trzcinski
2025	J	`jnl`	ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts. CoRR Patryk Bedkowski, Jan Dubinski, Filip Szatkowski, Kamil Deja, Przemyslaw Rokita, Tomasz Trzcinski
2025	A	`conf`	Exploring the Stability Gap in Continual Learning: The Role of the Classification Head. WACV Wojciech Lapacz, Daniel Marczak, Filip Szatkowski, Tomasz Trzcinski
2025	—	`conf`	GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation. MICCAI (2) Tomasz Szczepanski, Szymon Plotka, Michal K. Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
2025	A	`conf`	GUIDE: Guidance-Based Incremental Learning with Diffusion Models. ECAI Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski
2025	A*	`conf`	How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies. ICML Piotr Kubaty, Bartosz Wójcik, Bartlomiej Krzepkowski, Monika Michaluk, Tomasz Trzcinski, Jary Pomponi, Kamil Adamczewski
2025	—	`conf`	Hypernetworks for image recontextualization. UniReps Maciej Zieba, Jakub Balicki, Tomasz Drózdz, Konrad Karanowski, Pawel Lorek, Hong Lyu, Aleksander Skorupa, Tomasz Trzcinski, Oriol Caudevilla, Jakub M. Tomczak
2025	A*	`conf`	Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers. ICML Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartlomiej Twardowski, Joost van de Weijer
2025	J	`jnl`	JointDiffusion: Joint representation learning for generative, predictive, and self-explainable AI in healthcare. Comput. Medical Imaging Graph. Joanna Kaleta, Pawel Skiers, Jan Dubinski, Przemyslaw Korzeniowski, Tomasz Trzcinski, Jakub M. Tomczak, Kamil Deja
2025	A	`conf`	LumiGauss: Relightable Gaussian Splatting in the Wild. WACV Joanna Kaleta, Kacper Kania, Tomasz Trzcinski, Marek Kowalski
2025	J	`jnl`	Maybe I Should Not Answer That, but... Do LLMs Understand The Safety of Their Inputs? CoRR Maciej Chrabaszcz, Filip Szatkowski, Bartosz Wójcik, Jan Dubinski, Tomasz Trzcinski
2025	J	`jnl`	Neural Bloom: A Deep Learning Approach to Real-Time Lighting. CoRR Rafal Karp, Dawid Gruszka, Tomasz Trzcinski
2025	J	`jnl`	PTFNet: Robotic-Relevant, Single-View Obstacle Footprint Estimation From Sparse and Incomplete Point Clouds. IEEE Access Konrad P. Cop, Tomasz Trzcinski
2025	—	`conf`	RegScore: Scoring Systems for Regression Tasks. MICCAI (14) Michal K. Grzeszczyk, Tomasz Szczepanski, Pawel Renc, Siyeop Yoon, Jerome Charton, Tomasz Trzcinski, Arkadiusz Sitek
2025	J	`jnl`	Test-time Contrastive Concepts for Open-world Semantic Segmentation with Vision-Language Models. Trans. Mach. Learn. Res. Monika Wysoczanska, Antonín Vobecký, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
2025	J	`jnl`	Unpacking Softmax: How Temperature Drives Representation Collapse, Compression, and Generalization. CoRR Wojciech Masarczyk, Mateusz Ostaszewski, Tin Sum Cheng, Tomasz Trzcinski, Aurélien Lucchi, Razvan Pascanu
2024	J	`jnl`	A Study of Test-time Contrastive Concepts for Open-world, Open-vocabulary Semantic Segmentation. CoRR Monika Wysoczanska, Antonín Vobecký, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni
2024	A	`conf`	AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. BMVC Damian Sójka, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert
2024	J	`jnl`	Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning. CoRR Filip Szatkowski, Fei Yang, Bartlomiej Twardowski, Tomasz Trzcinski, Joost van de Weijer
2024	—	`conf`	AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. ECCV (21) Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024	J	`jnl`	AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale. CoRR Adam Pardyl, Michal Wronka, Maciej Wolczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zielinski
2024	A	`conf`	Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. WACV Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
2024	—	`conf`	CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation. ECCV (61) Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez
2024	A	`conf`	CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free. WACV Monika Wysoczanska, Michaël Ramamonjisoa, Tomasz Trzcinski, Oriane Siméoni
2024	—	`conf`	Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery. ECCV (11) Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2024	A*	`conf`	Divide and not forget: Ensemble of selectively trained experts in Continual Learning. ICLR Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski
2024	J	`jnl`	Divide and not forget: Ensemble of selectively trained experts in Continual Learning. CoRR Grzegorz Rypesc, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Zielinski, Bartlomiej Twardowski
2024	J	`jnl`	Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
2024	J	`jnl`	Exploring the Stability Gap in Continual Learning: The Role of the Classification Head. CoRR Wojciech Lapacz, Daniel Marczak, Filip Szatkowski, Tomasz Trzcinski
2024	J	`jnl`	GUIDE: Guidance-based Incremental Learning with Diffusion Models. CoRR Bartosz Cywinski, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski, Lukasz Kucinski
2024	A*	`conf`	HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract). AAAI Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek
2024	—	`conf`	Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization. CoLLAs Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
2024	J	`jnl`	Joint or Disjoint: Mixing Training Regimes for Early-Exit Models. CoRR Bartlomiej Krzepkowski, Monika Michaluk, Franciszek Szarwacki, Piotr Kubaty, Jary Pomponi, Tomasz Trzcinski, Bartosz Wójcik, Kamil Adamczewski
2024	—	`conf`	Let Me DeCode You: Decoder Conditioning with Tabular Data. MICCAI (3) Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	Let Me DeCode You: Decoder Conditioning with Tabular Data. CoRR Tomasz Szczepanski, Michal K. Grzeszczyk, Szymon Plotka, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning. IEEE Access Valeriya Khan, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski
2024	J	`jnl`	LumiGauss: High-Fidelity Outdoor Relighting with 2D Gaussian Splatting. CoRR Joanna Kaleta, Kacper Kania, Tomasz Trzcinski, Marek Kowalski
2024	—	`conf`	MAGMAX: Leveraging Model Merging for Seamless Continual Learning. ECCV (85) Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert
2024	A	`conf`	MISS: Multiclass Interpretable Scoring Systems. SDM Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	MISS: Multiclass Interpretable Scoring Systems. CoRR Michal K. Grzeszczyk, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	MagMax: Leveraging Model Merging for Seamless Continual Learning. CoRR Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert
2024	—	`conf`	Modeling 3D Surfaces with a Locally Conditioned Atlas. ICCS (2) Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania, Marcin Mazur
2024	A*	`conf`	Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. ICML Michal Nauman, Michal Bortkiewicz, Piotr Milos, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan
2024	J	`jnl`	Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning. CoRR Michal Nauman, Michal Bortkiewicz, Mateusz Ostaszewski, Piotr Milos, Tomasz Trzcinski, Marek Cygan
2024	J	`jnl`	Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. Pattern Recognit. Lett. Dominik Zimny, Joanna Waczynska, Tomasz Trzcinski, Przemyslaw Spurek
2024	J	`jnl`	Realistic Evaluation of Test-Time Adaptation Algorithms: Unsupervised Hyperparameter Selection. CoRR Sebastian Cygert, Damian Sójka, Tomasz Trzcinski, Bartlomiej Twardowski
2024	—	`conf`	RegFlow: Probabilistic Flow-Based Regression for Future Prediction. ACIIDS (Companion 2) Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2024	—	`conf`	Revisiting Supervision for Continual Representation Learning. ECCV (6) Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2024	—	`conf`	Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning. ICAART (1) Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Bartlomiej Sobieski, Tomasz Trzcinski
2024	—	`conf`	TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. MICCAI (5) Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek
2024	J	`jnl`	TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing. CoRR Michal K. Grzeszczyk, Przemyslaw Korzeniowski, Samer Alabed, Andrew J. Swift, Tomasz Trzcinski, Arkadiusz Sitek
2024	A*	`conf`	Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning. NeurIPS Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2024	J	`jnl`	Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning. CoRR Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2024	J	`jnl`	Toward Unsupervised Visual Reasoning: Do Off-the-Shelf Features Know How to Reason? IEEE Access Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard
2024	A	`conf`	Towards More Realistic Membership Inference Attacks on Large Diffusion Models. WACV Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki
2024	A	`conf`	Zero-Waste Machine Learning. ECAI Tomasz Trzcinski, Bartlomiej Twardowski, Bartosz Zielinski, Kamil Adamczewski, Bartosz Wójcik
2023	—	`conf`	AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. ICCV (Workshops) Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
2023	J	`jnl`	AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation. CoRR Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
2023	A*	`conf`	Active Visual Exploration Based on Attention-Map Entropy. IJCAI Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski
2023	J	`jnl`	Active Visual Exploration Based on Attention-Map Entropy. CoRR Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski
2023	J	`jnl`	Adapt & Align: Continual Learning with Generative Models Latent Space Alignment. CoRR Kamil Deja, Bartosz Cywinski, Jan Rybarczyk, Tomasz Trzcinski
2023	—	`conf`	Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. ICCV (Workshops) Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
2023	J	`jnl`	Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning. CoRR Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
2023	J	`jnl`	BabyNet＋＋: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery. Comput. Biol. Medicine Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Ivana Isgum, Clara I. Sánchez, Arkadiusz Sitek
2023	J	`jnl`	Bayesian Flow Networks in Continual Learning. CoRR Mateusz Pyla, Kamil Deja, Bartlomiej Twardowski, Tomasz Trzcinski
2023	J	`jnl`	Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers. CoRR Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski
2023	A*	`conf`	BlendFields: Few-Shot Example-Driven Facial Modeling. CVPR Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
2023	J	`jnl`	BlendFields: Few-Shot Example-Driven Facial Modeling. CoRR Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzcinski, Marek Kowalski
2023	A*	`conf`	Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. NeurIPS Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
2023	J	`jnl`	Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders. CoRR Jan Dubinski, Stanislaw Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic
2023	J	`jnl`	CLIP-DINOiser: Teaching CLIP a few DINO tricks. CoRR Monika Wysoczanska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzcinski, Patrick Pérez
2023	J	`jnl`	CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free. CoRR Monika Wysoczanska, Michaël Ramamonjisoa, Tomasz Trzcinski, Oriane Siméoni
2023	J	`jnl`	Can gamification reduce the burden of self-reporting in mHealth applications? Feasibility study using machine learning from smartwatch data to estimate cognitive load. CoRR Michal K. Grzeszczyk, Paulina Adamczyk, Sylwia Marek, Ryszard Precikowski, Maciej Kus, M. Patrycja Lelujko, Rosmary Blanco, Tomasz Trzcinski, Arkadiusz Sitek, Maciej Malawski, Aneta Lisowska
2023	J	`jnl`	Continual learning on 3D point clouds with random compressed rehearsal. Comput. Vis. Image Underst. Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba
2023	J	`jnl`	Disentangled Continual Learning: Separating Memory Edits from Model Updates. CoRR Sebastian Dziadzio, Çagatay Yildiz, Gido M. van de Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge
2023	J	`jnl`	Exploring Continual Learning of Diffusion Models. CoRR Michal Zajac, Kamil Deja, Anna Kuzina, Jakub M. Tomczak, Tomasz Trzcinski, Florian Shkurti, Piotr Milos
2023	J	`jnl`	Generalized Continual Category Discovery. CoRR Daniel Marczak, Grzegorz Rypesc, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2023	J	`jnl`	HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population. IEEE Trans. Games Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek
2023	—	`conf`	Hypernetworks Build Implicit Neural Representations of Sounds. ECML/PKDD (4) Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
2023	J	`jnl`	Hypernetworks build Implicit Neural Representations of Sounds. CoRR Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
2023	—	`conf`	Learning Data Representations with Joint Diffusion Models. ECML/PKDD (2) Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
2023	J	`jnl`	Learning Data Representations with Joint Diffusion Models. CoRR Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak
2023	—	`conf`	Looking through the past: better knowledge retention for generative replay in continual learning. ICCV (Workshops) Valeriya Khan, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski
2023	J	`jnl`	Looking through the past: better knowledge retention for generative replay in continual learning. CoRR Valeriya Khan, Sebastian Cygert, Kamil Deja, Tomasz Trzcinski, Bartlomiej Twardowski
2023	J	`jnl`	Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN. CoRR Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
2023	J	`jnl`	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. CoRR Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, Rod Hose, Tomasz Trzcinski, Arkadiusz Sitek
2023	J	`jnl`	On consequences of finetuning on data with highly discriminative features. CoRR Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski
2023	J	`jnl`	Revisiting Supervision for Continual Representation Learning. CoRR Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski
2023	—	`conf`	TabAttention: Learning Attention Conditionally on Tabular Data. MICCAI (7) Michal K. Grzeszczyk, Szymon Plotka, Beata Rebizant, Katarzyna Kosinska-Kaczynska, Michal Lipa, Robert Brawura-Biskupski-Samaha, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
2023	A*	`conf`	The Tunnel Effect: Building Data Representations in Deep Neural Networks. NeurIPS Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
2023	J	`jnl`	The Tunnel Effect: Building Data Representations in Deep Neural Networks. CoRR Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Milos, Tomasz Trzcinski
2023	J	`jnl`	Towards More Realistic Membership Inference Attacks on Large Diffusion Models. CoRR Jan Dubinski, Antoni Kowalczuk, Stanislaw Pawlak, Przemyslaw Rokita, Tomasz Trzcinski, Pawel Morawiecki
2023	J	`jnl`	Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. IEEE Access Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
2023	J	`jnl`	Zero time waste in pre-trained early exit neural networks. Neural Networks Bartosz Wójcik, Marcin Przewiezlikowski, Filip Szatkowski, Maciej Wolczyk, Klaudia Balazy, Bartlomiej Krzepkowski, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2022	J	`jnl`	A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing. CoRR Anna Wróblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Siew Ann Cheong, Tan Seng Chee, Tomasz Trzcinski, Janusz A. Holyst
2022	—	`conf`	BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. MICCAI (4) Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
2022	J	`jnl`	BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video. CoRR Szymon Plotka, Michal K. Grzeszczyk, Robert Brawura-Biskupski-Samaha, Pawel Gutaj, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
2022	A*	`conf`	CoNeRF: Controllable Neural Radiance Fields. CVPR Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
2022	A*	`conf`	Continual Learning with Guarantees via Weight Interval Constraints. ICML Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2022	J	`jnl`	Continual Learning with Guarantees via Weight Interval Constraints. CoRR Maciej Wolczyk, Karol J. Piczak, Bartosz Wójcik, Lukasz Pustelnik, Pawel Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2022	J	`jnl`	Continual learning on 3D point clouds with random compressed rehearsal. CoRR Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba
2022	J	`jnl`	Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements. CoRR Szymon Plotka, Adam Klasa, Aneta Lisowska, Joanna Seliga-Siwecka, Michal Lipa, Tomasz Trzcinski, Arkadiusz Sitek
2022	—	`conf`	Deep Learning for Automatic Detection of Qualitative Features of Lecturing. AIED (1) Anna Wróblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Siew Ann Cheong, Seng Chee Tan, Tomasz Trzcinski, Janusz A. Holyst
2022	J	`jnl`	EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale. IEEE Robotics Autom. Lett. Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
2022	J	`jnl`	Emergency action termination for immediate reaction in hierarchical reinforcement learning. CoRR Michal Bortkiewicz, Jakub Lyskawa, Pawel Wawrzynski, Mateusz Ostaszewski, Artur Grudkowski, Tomasz Trzcinski
2022	A*	`conf`	FlowHMM: Flow-based continuous hidden Markov models. NeurIPS Pawel Lorek, Rafal Nowak, Tomasz Trzcinski, Maciej Zieba
2022	J	`jnl`	General Hypernetwork Framework for Creating 3D Point Clouds. IEEE Trans. Pattern Anal. Mach. Intell. Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
2022	A	`conf`	HyperPocket: Generative Point Cloud Completion. IROS Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
2022	J	`jnl`	HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks. CoRR Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski
2022	J	`jnl`	Logarithmic Continual Learning. IEEE Access Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
2022	J	`jnl`	Logarithmic Continual Learning. CoRR Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski
2022	A*	`conf`	Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning. IJCAI Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski
2022	—	`conf`	Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning. ICCS (3) Michal K. Grzeszczyk, Tadeusz Satlawa, Angela Lungu, Andrew J. Swift, Andrew J. Narracott, D. Rodney Hose, Tomasz Trzcinski, Arkadiusz Sitek
2022	A*	`conf`	On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models. NeurIPS Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub M. Tomczak
2022	J	`jnl`	On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models. CoRR Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub M. Tomczak
2022	—	`conf`	POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection. ICCS (1) Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka
2022	J	`jnl`	POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection. CoRR Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka
2022	J	`jnl`	Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. CoRR Dominik Zimny, Tomasz Trzcinski, Przemyslaw Spurek
2022	—	`conf`	Post-error Correction for Quantum Annealing Processor Using Reinforcement Learning. ICCS (4) Tomasz Smierzchalski, Lukasz Pawela, Zbigniew Puchala, Tomasz Trzcinski, Bartlomiej Gardas
2022	—	`conf`	Progressive Latent Replay for Efficient Generative Rehearsal. ICONIP (4) Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
2022	J	`jnl`	Progressive Latent Replay for efficient Generative Rehearsal. CoRR Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski
2022	—	`conf`	Selectively Increasing the Diversity of GAN-Generated Samples. ICONIP (1) Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
2022	J	`jnl`	Selectively increasing the diversity of GAN-generated samples. CoRR Jan Dubinski, Kamil Deja, Sandro Wenzel, Przemyslaw Rokita, Tomasz Trzcinski
2022	J	`jnl`	Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason? CoRR Monika Wysoczanska, Tom Monnier, Tomasz Trzcinski, David Picard
2022	—	`conf`	Which Visual Features Impact the Performance of Target Task in Self-supervised Learning? ICCS (1) Witold Oleszkiewicz, Dominika Basaj, Tomasz Trzcinski, Bartosz Zielinski
2021	B	`conf`	BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. IJCNN Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2021	J	`jnl`	CoNeRF: Controllable Neural Radiance Fields. CoRR Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi
2021	—	`conf`	Continual Learning of 3D Point Cloud Generators. ICONIP (1) Michal Sadowski, Karol J. Piczak, Przemyslaw Spurek, Tomasz Trzcinski
2021	J	`jnl`	Convolutional Neural Networks in Orthodontics: a review. CoRR Szymon Plotka, Tomasz Wlodarczyk, Ryszard Szczerba, Przemyslaw Rokita, Patrycja Bartkowska, Oskar Komisarek, Artur Matthews-Brzozowski, Tomasz Trzcinski
2021	J	`jnl`	Efficient GPU implementation of randomized SVD and its applications. CoRR Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski
2021	J	`jnl`	EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale. CoRR Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
2021	J	`jnl`	End-to-End Sinkhorn Autoencoder With Noise Generator. IEEE Access Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski
2021	A*	`conf`	Explaining Self-Supervised Image Representations with Visual Probing. IJCAI Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski
2021	—	`conf`	FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements. ICONIP (6) Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski
2021	J	`jnl`	FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements. CoRR Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski
2021	—	`conf`	Global Point Cloud Descriptor for Place Recognition in Indoor Environments. VISIGRAPP (5: VISAPP) Jacek Komorowski, Grzegorz Kurzejamski, Monika Wysoczanska, Tomasz Trzcinski
2021	J	`jnl`	HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population. CoRR Ivan Kostiuk, Przemyslaw Stachura, Slawomir Konrad Tadeja, Tomasz Trzcinski, Przemyslaw Spurek
2021	J	`jnl`	HyperCube: Implicit Field Representations of Voxelized 3D Models. CoRR Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek
2021	J	`jnl`	HyperPocket: Generative Point Cloud Completion. CoRR Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski
2021	—	`conf`	Large-Scale Topological Radar Localization Using Learned Descriptors. ICONIP (2) Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
2021	J	`jnl`	Large-Scale Topological Radar Localization Using Learned Descriptors. CoRR Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
2021	B	`conf`	MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. IJCNN Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
2021	J	`jnl`	MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. CoRR Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski
2021	J	`jnl`	Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. CoRR Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania
2021	J	`jnl`	Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. CoRR Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2021	A*	`conf`	Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	J	`jnl`	Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba
2021	—	`conf`	On Robustness of Generative Representations Against Catastrophic Forgetting. ICONIP (6) Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski
2021	J	`jnl`	On robustness of generative representations against catastrophic forgetting. CoRR Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski
2021	J	`jnl`	Representing point clouds with generative conditional invertible flow networks. Pattern Recognit. Lett. Michal Stypulkowski, Kacper Kania, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski, Jan Chorowski
2021	—	`conf`	SynthTriplet GAN: Synthetic Query Expansion for Multimodal Retrieval. ICONIP (4) Ivona Tautkute, Tomasz Trzcinski
2021	J	`jnl`	TrajeVAE - Controllable Human Motion Generation from Trajectories. CoRR Kacper Kania, Marek Kowalski, Tomasz Trzcinski
2021	J	`jnl`	Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations. CoRR Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski, Bartosz Zielinski
2021	A*	`conf`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2021	J	`jnl`	Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski
2020	J	`jnl`	Adversarial autoencoders for compact representations of 3D point clouds. Comput. Vis. Image Underst. Maciej Zamorski, Maciej Zieba, Piotr Klukowski, Rafal Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzcinski
2020	J	`jnl`	BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. CoRR Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski
2020	—	`conf`	Comixify: turning videos into comics. AI4Narratives@IJCAI Tomasz Trzcinski
2020	J	`jnl`	End-to-end Sinkhorn Autoencoder with Noise Generator. CoRR Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Tomasz Trzcinski
2020	J	`jnl`	HyperFlow: Representing 3D Objects as Surfaces. CoRR Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski
2020	A*	`conf`	Hypernetwork approach to generating point clouds. ICML Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
2020	J	`jnl`	Hypernetwork approach to generating point clouds. CoRR Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski
2020	—	`conf`	Multimodal Dance Recognition. VISIGRAPP (5: VISAPP) Monika Wysoczanska, Tomasz Trzcinski
2020	A	`conf`	Plugin Networks for Inference under Partial Evidence. WACV Michal Koperski, Tomasz K. Konopczynski, Rafal Nowak, Piotr Semberecki, Tomasz Trzcinski
2020	J	`jnl`	RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek
2020	J	`jnl`	Representing Point Clouds with Generative Conditional Invertible Flow Networks. CoRR Michal Stypulkowski, Kacper Kania, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski, Jan Chorowski
2020	—	`conf`	Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks. ASMUS/PIPPI@MICCAI Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski
2020	J	`jnl`	Spontaneous preterm birth prediction using convolutional neural networks. CoRR Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski
2020	B	`conf`	SuperNCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching. ACIVS Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski
2020	J	`jnl`	Understanding the robustness of deep neural network classifiers for breast cancer screening. CoRR Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras
2019	J	`jnl`	Classifying and Visualizing Emotions with Emotional DAN. Fundam. Informaticae Ivona Tautkute, Tomasz Trzcinski
2019	J	`jnl`	Comixify: Transform Video Into Comics. Fundam. Informaticae Maciej Pesko, Adam Svystun, Pawel Andruszkiewicz, Przemyslaw Rokita, Tomasz Trzcinski
2019	J	`jnl`	DeepStyle: Multimodal Search Engine for Fashion and Interior Design. IEEE Access Ivona Tautkute, Tomasz Trzcinski, Aleksander Skorupa, Lukasz Brocki, Krzysztof Marasek
2019	—	`conf`	Estimation of Preterm Birth Markers with U-Net Segmentation Network. SUSI/PIPPI@MICCAI Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki
2019	J	`jnl`	Estimation of preterm birth markers with U-Net segmentation network. CoRR Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki
2019	J	`jnl`	Late fusion of deep learning and hand-crafted features for Achilles tendon healing monitoring. CoRR Norbert Kapinski, Jedrzej M. Nowosielski, Maciej E. Marchwiany, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof S. Nowinski
2019	—	`conf`	Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks. SUSI/PIPPI@MICCAI Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof Nowinski
2019	J	`jnl`	Monitoring Achilles tendon healing progress in ultrasound imaging with convolutional neural networks. CoRR Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof S. Nowinski
2019	J	`jnl`	Plugin Networks for Inference under Partial Evidence. CoRR Michal Koperski, Tomasz K. Konopczynski, Piotr Semberecki, Tomasz Trzcinski
2019	J	`jnl`	Random Binary Search Trees for approximate nearest neighbour search in binary spaces. Appl. Soft Comput. Michal Komorowski, Tomasz Trzcinski
2019	J	`jnl`	SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching. CoRR Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski
2019	J	`jnl`	Synthetic Image Translation for Football Players Pose Estimation. J. Univers. Comput. Sci. Michal Sypetkowski, Grzegorz Sarwas, Tomasz Trzcinski
2018	J	`jnl`	Adversarial Autoencoders for Generating 3D Point Clouds. CoRR Maciej Zamorski, Maciej Zieba, Rafal Nowak, Wojciech Stokowiec, Tomasz Trzcinski
2018	Misc	`conf`	Aggregation of Binary Feature Descriptors for Compact Scene Model Representation in Large Scale Structure-from-Motion Applications. ICCVG Jacek Komorowski, Tomasz Trzcinski
2018	J	`jnl`	Aggregation of binary feature descriptors for compact scene model representation in large scale structure-from-motion applications. CoRR Jacek Komorowski, Tomasz Trzcinski
2018	A*	`conf`	BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. NeurIPS Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski
2018	J	`jnl`	BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. CoRR Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski
2018	J	`jnl`	Classifying and Visualizing Emotions with Emotional DAN. CoRR Ivona Tautkute, Tomasz Trzcinski
2018	J	`jnl`	Comixify: Transform video into a comics. CoRR Maciej Pesko, Adam Svystun, Pawel Andruszkiewicz, Przemyslaw Rokita, Tomasz Trzcinski
2018	J	`jnl`	DeepStyle: Multimodal Search Engine for Fashion and Interior Design. CoRR Ivona Tautkute, Tomasz Trzcinski, Aleksander Skorupa, Lukasz Brocki, Krzysztof Marasek
2018	—	`conf`	Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks. MICCAI (2) Norbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, Krzysztof S. Nowinski
2018	J	`jnl`	Estimating Achilles tendon healing progress with convolutional neural networks. CoRR Norbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, Krzysztof S. Nowinski
2018	Misc	`conf`	Extracting Textual Overlays from Social Media Videos Using Neural Networks. ICCVG Adam Slucki, Tomasz Trzcinski, Adam Bielski, Pawel Cyrta
2018	J	`jnl`	Extracting textual overlays from social media videos using neural networks. CoRR Adam Slucki, Tomasz Trzcinski, Adam Bielski, Pawel Cyrta
2018	—	`conf`	I Know How You Feel: Emotion Recognition With Facial Landmarks. CVPR Workshops Ivona Tautkute, Tomasz Trzcinski, Adam Bielski
2018	J	`jnl`	I Know How You Feel: Emotion Recognition with Facial Landmarks. CoRR Ivona Tautkute, Tomasz Trzcinski, Adam Bielski
2018	—	`conf`	Interest Point Detectors Stability Evaluation on ApolloScape Dataset. ECCV Workshops (5) Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski, Lukasz Dabala, Simon Lynen
2018	J	`jnl`	Interest point detectors stability evaluation on ApolloScape dataset. CoRR Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski, Lukasz Dabala, Simon Lynen
2018	J	`jnl`	Neural Comic Style Transfer: Case Study. CoRR Maciej Pesko, Tomasz Trzcinski
2018	—	`conf`	Pay Attention to Virality: Understanding Popularity of Social Media Videos With the Attention Mechanism. CVPR Workshops Adam Bielski, Tomasz Trzcinski
2018	J	`jnl`	Pay Attention to Virality: understanding popularity of social media videos with the attention mechanism. CoRR Adam Bielski, Tomasz Trzcinski
2018	—	`conf`	Recognizing Emotions with EmotionalDAN. CompIMAGE Ivona Tautkute, Tomasz Trzcinski, Adam Bielski
2018	—	`conf`	SConE: Siamese Constellation Embedding Descriptor for Image Matching. ECCV Workshops (1) Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen
2018	J	`jnl`	SConE: Siamese Constellation Embedding Descriptor for Image Matching. CoRR Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen
2018	—	`conf`	Siamese Generative Adversarial Privatizer for Biometric Data. ACCV (5) Witold Oleszkiewicz, Peter Kairouz, Karol J. Piczak, Ram Rajagopal, Tomasz Trzcinski
2018	J	`jnl`	Siamese Generative Adversarial Privatizer for Biometric Data. CoRR Witold Oleszkiewicz, Tomasz Wlodarczyk, Karol J. Piczak, Tomasz Trzcinski, Peter Kairouz, Ram Rajagopal
2018	J	`jnl`	SocialML: machine learning for social media video creators. CoRR Tomasz Trzcinski, Adam Bielski, Pawel Cyrta, Matthew Zak
2018	J	`jnl`	Understanding Multimodal Popularity Prediction of Social Media Videos With Self-Attention. IEEE Access Adam Bielski, Tomasz Trzcinski
2017	—	`conf`	Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment. CVPR Workshops Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski
2017	J	`jnl`	Deep Alignment Network: A convolutional neural network for robust face alignment. CoRR Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski
2017	—	`conf`	Evaluation of Hashing Methods Performance on Binary Feature Descriptors. IP&C Jacek Komorowski, Tomasz Trzcinski
2017	J	`jnl`	Evaluation of Hashing Methods Performance on Binary Feature Descriptors. CoRR Jacek Komorowski, Tomasz Trzcinski
2017	J	`jnl`	Predicting Popularity of Online Videos Using Support Vector Regression. IEEE Trans. Multim. Tomasz Trzcinski, Przemyslaw Rokita
2017	—	`conf`	Random Binary Search Trees for Approximate Nearest Neighbour Search in Binary Space. PReMI Michal Komorowski, Tomasz Trzcinski
2017	J	`jnl`	Random Binary Trees for Approximate Nearest Neighbour Search in Binary Space. CoRR Michal Komorowski, Tomasz Trzcinski
2017	C	`conf`	Recurrent Neural Networks for Online Video Popularity Prediction. ISMIS Tomasz Trzcinski, Pawel Andruszkiewicz, Tomasz Bochenski, Przemyslaw Rokita
2017	J	`jnl`	Recurrent Neural Networks for Online Video Popularity Prediction. CoRR Tomasz Trzcinski, Pawel Andruszkiewicz, Tomasz Bochenski, Przemyslaw Rokita
2017	C	`conf`	Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title. ISMIS Wojciech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk, Krzysztof Marasek, Przemyslaw Rokita
2017	J	`jnl`	Shallow reading with Deep Learning: Predicting popularity of online content using only its title. CoRR Wojciech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk, Krzysztof Marasek, Przemyslaw Rokita
2017	—	`conf`	Speaker Diarization Using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings. ISAT (1) Pawel Cyrta, Tomasz Trzcinski, Wojciech Stokowiec
2017	J	`jnl`	Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings. CoRR Pawel Cyrta, Tomasz Trzcinski, Wojciech Stokowiec
2017	J	`jnl`	Understanding Aesthetics in Photography using Deep Convolutional Neural Networks. CoRR Maciej Suchecki, Tomasz Trzcinski
2017	—	`conf`	Understanding aesthetics in photography using deep convolutional neural networks. SPA Maciej Suchecki, Tomasz Trzcinski
2017	C	`conf`	What Looks Good with my Sofa: Ensemble Multimodal Search for Interior Design. FedCSIS Ivona Tautkute, Aleksandra Mozejko, Wojciech Stokowiec, Tomasz Trzcinski, Lukasz Brocki, Krzysztof Marasek
2017	J	`jnl`	What Looks Good with my Sofa: Multimodal Search Engine for Interior Design. CoRR Ivona Tautkute, Aleksandra Mozejko, Wojciech Stokowiec, Tomasz Trzcinski, Lukasz Brocki, Krzysztof Marasek
2015	J	`jnl`	Learning Image Descriptors with Boosting. IEEE Trans. Pattern Anal. Mach. Intell. Tomasz Trzcinski, C. Mario Christoudias, Vincent Lepetit
2015	J	`jnl`	Predicting popularity of online videos using Support Vector Regression. CoRR Tomasz Trzcinski, Przemyslaw Rokita
2014	—	`—`	Learning and Matching Binary Local Feature Descriptors. Tomasz Trzcinski
2014	J	`jnl`	Receptive Fields Selection for Binary Feature Description. IEEE Trans. Image Process. Bin Fan, Qingqun Kong, Tomasz Trzcinski, Zhiheng Wang, Chunhong Pan, Pascal Fua
2013	A*	`conf`	Boosting Binary Keypoint Descriptors. CVPR Tomasz Trzcinski, C. Mario Christoudias, Pascal Fua, Vincent Lepetit
2012	J	`jnl`	BRIEF: Computing a Local Binary Descriptor Very Fast. IEEE Trans. Pattern Anal. Mach. Intell. Michael Calonder, Vincent Lepetit, Mustafa Özuysal, Tomasz Trzcinski, Christoph Strecha, Pascal Fua
2012	—	`conf`	Efficient Discriminative Projections for Compact Binary Descriptors. ECCV (1) Tomasz Trzcinski, Vincent Lepetit
2012	—	`conf`	Learning Image Descriptors with the Boosting-Trick. NIPS Tomasz Trzcinski, C. Mario Christoudias, Vincent Lepetit, Pascal Fua
2012	J	`jnl`	Thick boundaries in binary space and their influence on nearest-neighbor search. Pattern Recognit. Lett. Tomasz Trzcinski, Vincent Lepetit, Pascal Fua