Trzcinski, Tomasz

53 publications

NeurIPS 2025 1000 Layer Networks for Self-Supervised RL: Scaling Depth Can Enable New Goal-Reaching Capabilities Kevin Wang, Ishaan Javali, Michał Bortkiewicz, Tomasz Trzcinski, Benjamin Eysenbach

WACV 2025 Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzcinski, Bartosz Zielinski

WACV 2025 Exploring the Stability Gap in Continual Learning: The Role of the Classification Head Wojciech Łapacz, Daniel Marczak, Filip Szatkowski, Tomasz Trzciński

ICML 2025 How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies Piotr Kubaty, Bartosz Wójcik, Bartłomiej Tomasz Krzepkowski, Monika Michaluk, Tomasz Trzcinski, Jary Pomponi, Kamil Adamczewski

ICML 2025 Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers Filip Szatkowski, Yaoyue Zheng, Fei Yang, Tomasz Trzcinski, Bartłomiej Twardowski, Joost Van De Weijer

WACV 2025 LumiGauss: Relightable Gaussian Splatting in the Wild Joanna Kaleta, Kacper Kania, Tomasz Trzcinski, Marek Kowalski

ICLRW 2025 Maybe I Should Not Answer That, but... Do LLMs Understand the Safety of Their Inputs? Maciej Chrabaszcz, Filip Szatkowski, Bartosz Wójcik, Jan Dubiński, Tomasz Trzcinski

TMLR 2025 Test-Time Contrastive Concepts for Open-World Semantic Segmentation with Vision-Language Models Monika Wysoczańska, Antonin Vobecky, Amaia Cardiel, Tomasz Trzcinski, Renaud Marlet, Andrei Bursuc, Oriane Siméoni

ECCV 2024 AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzcinski, Bartosz Zieliński

WACV 2024 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning Filip Szatkowski, Mateusz Pyla, Marcin Przewięźlikowski, Sebastian Cygert, Bartłomiej Twardowski, Tomasz Trzciński

ECCV 2024 CLIP-DINOiser: Teaching CLIP a Few DINO Tricks for Open-Vocabulary Semantic Segmentation Monika Wysoczańska, Oriane Siméoni, Michaël Ramamonjisoa, Andrei Bursuc, Tomasz Trzciński, Patrick Pérez

WACV 2024 CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free Monika Wysoczańska, Michaël Ramamonjisoa, Tomasz Trzciński, Oriane Siméoni

ECCV 2024 Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery Grzegorz Rypeść, Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

ICLR 2024 Divide and Not Forget: Ensemble of Selectively Trained Experts in Continual Learning Grzegorz Rypeść, Sebastian Cygert, Valeriya Khan, Tomasz Trzcinski, Bartosz Michał Zieliński, Bartłomiej Twardowski

AAAI 2024 HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract) Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek

NeurIPSW 2024 Hypernetworks for Image Recontextualization Maciej Zieba, Jakub Balicki, Tomasz Drozdz, Konrad Karanowski, Pawel Lorek, Hong Lyu, Aleksander Piotr Skorupa, Tomasz Trzcinski, Oriol Caudevilla, Jakub M. Tomczak

CoLLAs 2024 Infinite dSprites for Disentangled Continual Learning: Separating Memory Edits from Generalization Sebastian Dziadzio, Çagatay Yildiz, Gido M. Ven, Tomasz Trzcinski, Tinne Tuytelaars, Matthias Bethge

ECCV 2024 MagMax: Leveraging Model Merging for Seamless Continual Learning Daniel Marczak, Bartlomiej Twardowski, Tomasz Trzcinski, Sebastian Cygert

ICML 2024 Overestimation, Overfitting, and Plasticity in Actor-Critic: The Bitter Lesson of Reinforcement Learning Michal Nauman, Michał Bortkiewicz, Piotr Miłoś, Tomasz Trzcinski, Mateusz Ostaszewski, Marek Cygan

ECCV 2024 Revisiting Supervision for Continual Representation Learning Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartlomiej Twardowski

NeurIPS 2024 Task-Recency Bias Strikes Back: Adapting Covariances in Exemplar-Free Class Incremental Learning Grzegorz Rypeść, Sebastian Cygert, Tomasz Trzciński, Bartłomiej Twardowski

WACV 2024 Towards More Realistic Membership Inference Attacks on Large Diffusion Models Jan Dubiński, Antoni Kowalczuk, Stanisław Pawlak, Przemyslaw Rokita, Tomasz Trzciński, Paweł Morawiecki

ICCVW 2023 AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation Damian Sójka, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski

IJCAI 2023 Active Visual Exploration Based on Attention-mAP Entropy Adam Pardyl, Grzegorz Rypesc, Grzegorz Kurzejamski, Bartosz Zielinski, Tomasz Trzcinski

ICCVW 2023 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning Filip Szatkowski, Mateusz Pyla, Marcin Przewiezlikowski, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski

CVPR 2023 BlendFields: Few-Shot Example-Driven Facial Modeling Kacper Kania, Stephan J. Garbin, Andrea Tagliasacchi, Virginia Estellers, Kwang Moo Yi, Julien Valentin, Tomasz Trzciński, Marek Kowalski

NeurIPS 2023 Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders Jan Dubiński, Stanisław Pawlak, Franziska Boenisch, Tomasz Trzcinski, Adam Dziedzic

ECML-PKDD 2023 Hypernetworks Build Implicit Neural Representations of Sounds Filip Szatkowski, Karol J. Piczak, Przemyslaw Spurek, Jacek Tabor, Tomasz Trzcinski

ECML-PKDD 2023 Learning Data Representations with Joint Diffusion Models Kamil Deja, Tomasz Trzcinski, Jakub M. Tomczak

ICCVW 2023 Looking Through the past: Better Knowledge Retention for Generative Replay in Continual Learning Valeriya Khan, Sebastian Cygert, Bartlomiej Twardowski, Tomasz Trzcinski

NeurIPSW 2023 On Consequences of Finetuning on Data with Highly Discriminative Features Wojciech Masarczyk, Tomasz Trzcinski, Mateusz Ostaszewski

NeurIPSW 2023 Revisiting Supervision for Continual Representation Learning Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski, Bartłomiej Twardowski

NeurIPS 2023 The Tunnel Effect: Building Data Representations in Deep Neural Networks Wojciech Masarczyk, Mateusz Ostaszewski, Ehsan Imani, Razvan Pascanu, Piotr Miłoś, Tomasz Trzcinski

CVPR 2022 CoNeRF: Controllable Neural Radiance Fields Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzciński, Andrea Tagliasacchi

ICML 2022 Continual Learning with Guarantees via Weight Interval Constraints Maciej Wołczyk, Karol Piczak, Bartosz Wójcik, Lukasz Pustelnik, Paweł Morawiecki, Jacek Tabor, Tomasz Trzcinski, Przemysław Spurek

NeurIPS 2022 FlowHMM: Flow-Based Continuous Hidden Markov Models Pawel Lorek, Rafal Nowak, Tomasz Trzcinski, Maciej Zieba

NeurIPSW 2022 HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks Filip Szatkowski, Karol J. Piczak, Przemysław Spurek, Jacek Tabor, Tomasz Trzcinski

IJCAI 2022 Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning Kamil Deja, Pawel Wawrzynski, Wojciech Masarczyk, Daniel Marczak, Tomasz Trzcinski

NeurIPS 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-Based Deep Generative Models Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub Tomczak

IJCAI 2021 Explaining Self-Supervised Image Representations with Visual Probing Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski

NeurIPS 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemysław Spurek, Maciej Zieba

NeurIPS 2021 Zero Time Waste: Recycling Predictions in Early Exit Neural Networks Maciej Wołczyk, Bartosz Wójcik, Klaudia Bałazy, Igor T Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzcinski

ICML 2020 Hypernetwork Approach to Generating Point Clouds Przemysław Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski

WACV 2020 Plugin Networks for Inference Under Partial Evidence Michal Koperski, Tomasz Konopczynski, Rafal Nowak, Piotr Semberecki, Tomasz Trzcinski

NeurIPS 2018 BinGAN: Learning Compact Binary Descriptors with a Regularized GAN Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski

CVPRW 2018 I Know How You Feel: Emotion Recognition with Facial Landmarks Ivona Tautkute, Tomasz Trzcinski, Adam Bielski

ECCVW 2018 Interest Point Detectors Stability Evaluation on ApolloScape Dataset Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski, Lukasz Dabala, Simon Lynen

CVPRW 2018 Pay Attention to Virality: Understanding Popularity of Social Media Videos with the Attention Mechanism Adam Bielski, Tomasz Trzcinski

ECCVW 2018 SConE: Siamese Constellation Embedding Descriptor for Image Matching Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen

CVPRW 2017 Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski

CVPR 2013 Boosting Binary Keypoint Descriptors Tomasz Trzcinski, Mario Christoudias, Pascal Fua, Vincent Lepetit

ECCV 2012 Efficient Discriminative Projections for Compact Binary Descriptors Tomasz Trzcinski, Vincent Lepetit

NeurIPS 2012 Learning Image Descriptors with the Boosting-Trick Tomasz Trzcinski, Mario Christoudias, Vincent Lepetit, Pascal Fua