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← Authors

Tomasz Trzcinski

38 papers · 2012–2025 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+12 more ↓ ๐ŸŒ Conference Polyglot (9) ๐Ÿฃ Hot Topic Early Bird ๐Ÿงญ Keyword Pioneer ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿƒ Academic Marathon (13)
๐ŸŒ Conference Polyglot (9) ๐ŸŒ‰ Interdisciplinary Bridge ๐Ÿงญ Keyword Pioneer ๐Ÿ† Keyword Champion ๐Ÿ‘‘ Triple Crown ๐Ÿ† Grand Slam ๐Ÿ—ƒ๏ธ Keyword Collector (134) โšก Prolific Year (5) ๐Ÿš€ Conference Pioneer ๐Ÿ’Ž Century Club (38) ๐Ÿ”ฅ Unstoppable (6) โ“ The Questioner

Conferences

NIPS (9) WACV (7) ECCV (5) ICML (5) MICCAI (4) CVPR (3) IJCAI (3) AAAI (1) ICLR (1)

Top co-authors

Sebastian Cygert (6) Daniel Marczak (5) Grzegorz Rypeล›ฤ‡ (4) Michal K. Grzeszczyk (4) Przemysล‚aw Spurek (4) Bartosz Zieliล„ski (4) Bartล‚omiej Twardowski (4) Arkadiusz Sitek (4) Jacek Tabor (4) Maciej Zieba (4)

Research topics

Privacy (1)

Keywords

continual learning (6) representation learning (4) catastrophic forgetting (3) 3d reconstruction (3) generative model (3) few-shot learning (3) feature learning (2) active visual exploration (2) diffusion model (2) class incremental learning (2) membership inference (2) binary descriptor (2) normalizing flow (2) image matching (2) image representation (2) novel view synthesis (2) neural network (2) vision transformer (1) metric learning (1) privacy attack (1)

Papers

LumiGauss: Relightable Gaussian Splatting in the Wild WACV 2025 Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers WACV 2025 RegScore: Scoring Systems for Regression Tasks MICCAI 2025 Exploring the Stability Gap in Continual Learning: The Role of the Classification Head WACV 2025 GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation MICCAI 2025 Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers ICML 2025 How to Train Your Multi-Exit Model? Analyzing the Impact of Training Strategies ICML 2025 Towards More Realistic Membership Inference Attacks on Large Diffusion Models WACV 2024 Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-Free Continual Learning WACV 2024 Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning NIPS 2024 HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract) AAAI 2024 Revisiting Supervision for Continual Representation Learning ECCV 2024 Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery ECCV 2024 AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale ECCV 2024 CLIP-DINOiser: Teaching CLIP a few DINO tricks for open-vocabulary semantic segmentation ECCV 2024 MagMax: Leveraging Model Merging for Seamless Continual Learning ECCV 2024 Divide and not forget: Ensemble of selectively trained experts in Continual Learning ICLR 2024 Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning ICML 2024 Let Me DeCode You: Decoder Conditioning with Tabular Data MICCAI 2024 TabMixer: Noninvasive Estimation of the Mean Pulmonary Artery Pressure via Imaging and Tabular Data Mixing MICCAI 2024 CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free WACV 2024 Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders NIPS 2023 The Tunnel Effect: Building Data Representations in Deep Neural Networks NIPS 2023 BlendFields: Few-Shot Example-Driven Facial Modeling CVPR 2023 Active Visual Exploration Based on Attention-Map Entropy IJCAI 2023 Continual Learning with Guarantees via Weight Interval Constraints ICML 2022 CoNeRF: Controllable Neural Radiance Fields CVPR 2022 On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models NIPS 2022 Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning IJCAI 2022 FlowHMM: Flow-based continuous hidden Markov models NIPS 2022 Zero Time Waste: Recycling Predictions in Early Exit Neural Networks NIPS 2021 Explaining Self-Supervised Image Representations with Visual Probing IJCAI 2021 Non-Gaussian Gaussian Processes for Few-Shot Regression NIPS 2021 Hypernetwork approach to generating point clouds ICML 2020 Plugin Networks for Inference under Partial Evidence WACV 2020 BinGAN: Learning Compact Binary Descriptors with a Regularized GAN NIPS 2018 Boosting Binary Keypoint Descriptors CVPR 2013 Learning Image Descriptors with the Boosting-Trick NIPS 2012