Tomasz Trzcinski

Orcid: 0000-0002-1486-8906

According to our database1, Tomasz Trzcinski authored at least 134 papers between 2012 and 2024.

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Bibliography

2024
Accelerated Inference and Reduced Forgetting: The Dual Benefits of Early-Exit Networks in Continual Learning.
CoRR, 2024

GUIDE: Guidance-based Incremental Learning with Diffusion Models.
CoRR, 2024

Overestimation, Overfitting, and Plasticity in Actor-Critic: the Bitter Lesson of Reinforcement Learning.
CoRR, 2024

Divide and not forget: Ensemble of selectively trained experts in Continual Learning.
CoRR, 2024

MISS: Multiclass Interpretable Scoring Systems.
CoRR, 2024

Looking Through the Past: Better Knowledge Retention for Generative Replay in Continual Learning.
IEEE Access, 2024

CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Towards More Realistic Membership Inference Attacks on Large Diffusion Models.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Subgoal Reachability in Goal Conditioned Hierarchical Reinforcement Learning.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
HyperColor: A HyperNetwork Approach for Synthesizing Autocolored 3-D Models for Game Scenes Population.
IEEE Trans. Games, December, 2023

BabyNet++: Fetal birth weight prediction using biometry multimodal data acquired less than 24 hours before delivery.
Comput. Biol. Medicine, December, 2023

Zero time waste in pre-trained early exit neural networks.
Neural Networks, November, 2023

Continual learning on 3D point clouds with random compressed rehearsal.
Comput. Vis. Image Underst., February, 2023

Disentangled Continual Learning: Separating Memory Edits from Model Updates.
CoRR, 2023

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning.
CoRR, 2023

Adapt & Align: Continual Learning with Generative Models Latent Space Alignment.
CoRR, 2023

CLIP-DINOiser: Teaching CLIP a few DINO tricks.
CoRR, 2023

Revisiting Supervision for Continual Representation Learning.
CoRR, 2023

On consequences of finetuning on data with highly discriminative features.
CoRR, 2023

Bayesian Flow Networks in Continual Learning.
CoRR, 2023

Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers.
CoRR, 2023

Generalized Continual Category Discovery.
CoRR, 2023

Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN.
CoRR, 2023

Exploring Continual Learning of Diffusion Models.
CoRR, 2023

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

Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations.
IEEE Access, 2023

Hypernetworks Build Implicit Neural Representations of Sounds.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Learning Data Representations with Joint Diffusion Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

The Tunnel Effect: Building Data Representations in Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Bucks for Buckets (B4B): Active Defenses Against Stealing Encoders.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TabAttention: Learning Attention Conditionally on Tabular Data.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Active Visual Exploration Based on Attention-Map Entropy.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Adapt Your Teacher: Improving Knowledge Distillation for Exemplar-free Continual Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

AR-TTA: A Simple Method for Real-World Continual Test-Time Adaptation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Looking through the past: better knowledge retention for generative replay in continual learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BlendFields: Few-Shot Example-Driven Facial Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale.
IEEE Robotics Autom. Lett., 2022

General Hypernetwork Framework for Creating 3D Point Clouds.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Towards Unsupervised Visual Reasoning: Do Off-The-Shelf Features Know How to Reason?
CoRR, 2022

Emergency action termination for immediate reaction in hierarchical reinforcement learning.
CoRR, 2022

HyperSound: Generating Implicit Neural Representations of Audio Signals with Hypernetworks.
CoRR, 2022

Points2NeRF: Generating Neural Radiance Fields from 3D point cloud.
CoRR, 2022

A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing.
CoRR, 2022

Deep Learning Fetal Ultrasound Video Model Match Human Observers in Biometric Measurements.
CoRR, 2022

Logarithmic Continual Learning.
IEEE Access, 2022

FlowHMM: Flow-based continuous hidden Markov models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

BabyNet: Residual Transformer Module for Birth Weight Prediction on Fetal Ultrasound Video.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

HyperPocket: Generative Point Cloud Completion.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Multiband VAE: Latent Space Alignment for Knowledge Consolidation in Continual Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Progressive Latent Replay for Efficient Generative Rehearsal.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Selectively Increasing the Diversity of GAN-Generated Samples.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

Continual Learning with Guarantees via Weight Interval Constraints.
Proceedings of the International Conference on Machine Learning, 2022

POTHER: Patch-Voted Deep Learning-Based Chest X-ray Bias Analysis for COVID-19 Detection.
Proceedings of the Computational Science - ICCS 2022, 2022

Post-error Correction for Quantum Annealing Processor Using Reinforcement Learning.
Proceedings of the Computational Science - ICCS 2022, 2022

Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?
Proceedings of the Computational Science - ICCS 2022, 2022

Noninvasive Estimation of Mean Pulmonary Artery Pressure Using MRI, Computer Models, and Machine Learning.
Proceedings of the Computational Science - ICCS 2022, 2022

CoNeRF: Controllable Neural Radiance Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep Learning for Automatic Detection of Qualitative Features of Lecturing.
Proceedings of the Artificial Intelligence in Education - 23rd International Conference, 2022

2021
Representing point clouds with generative conditional invertible flow networks.
Pattern Recognit. Lett., 2021

HyperCube: Implicit Field Representations of Voxelized 3D Models.
CoRR, 2021

Efficient GPU implementation of randomized SVD and its applications.
CoRR, 2021

HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population.
CoRR, 2021

Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning.
CoRR, 2021

Convolutional Neural Networks in Orthodontics: a review.
CoRR, 2021

TrajeVAE - Controllable Human Motion Generation from Trajectories.
CoRR, 2021

Modeling 3D Surface Manifolds with a Locally Conditioned Atlas.
CoRR, 2021

End-to-End Sinkhorn Autoencoder With Noise Generator.
IEEE Access, 2021

Global Point Cloud Descriptor for Place Recognition in Indoor Environments.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Zero Time Waste: Recycling Predictions in Early Exit Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Non-Gaussian Gaussian Processes for Few-Shot Regression.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2021

BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Explaining Self-Supervised Image Representations with Visual Probing.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SynthTriplet GAN: Synthetic Query Expansion for Multimodal Retrieval.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Continual Learning of 3D Point Cloud Generators.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

On Robustness of Generative Representations Against Catastrophic Forgetting.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Large-Scale Topological Radar Localization Using Learned Descriptors.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

2020
Adversarial autoencoders for compact representations of 3D point clouds.
Comput. Vis. Image Underst., 2020

RegFlow: Probabilistic Flow-based Regression for Future Prediction.
CoRR, 2020

HyperFlow: Representing 3D Objects as Surfaces.
CoRR, 2020

End-to-end Sinkhorn Autoencoder with Noise Generator.
CoRR, 2020

Understanding the robustness of deep neural network classifiers for breast cancer screening.
CoRR, 2020

Plugin Networks for Inference under Partial Evidence.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multimodal Dance Recognition.
Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks.
Proceedings of the Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis, 2020

Comixify: turning videos into comics.
Proceedings of AI4Narratives, 2020

Hypernetwork approach to generating point clouds.
Proceedings of the 37th International Conference on Machine Learning, 2020

SuperNCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2020

2019
Synthetic Image Translation for Football Players Pose Estimation.
J. Univers. Comput. Sci., 2019

Classifying and Visualizing Emotions with Emotional DAN.
Fundam. Informaticae, 2019

Comixify: Transform Video Into Comics.
Fundam. Informaticae, 2019

Late fusion of deep learning and hand-crafted features for Achilles tendon healing monitoring.
CoRR, 2019

Plugin Networks for Inference under Partial Evidence.
CoRR, 2019

Random Binary Search Trees for approximate nearest neighbour search in binary spaces.
Appl. Soft Comput., 2019

DeepStyle: Multimodal Search Engine for Fashion and Interior Design.
IEEE Access, 2019

Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

Estimation of Preterm Birth Markers with U-Net Segmentation Network.
Proceedings of the Smart Ultrasound Imaging and Perinatal, Preterm and Paediatric Image Analysis, 2019

2018
Adversarial Autoencoders for Generating 3D Point Clouds.
CoRR, 2018

Neural Comic Style Transfer: Case Study.
CoRR, 2018

Siamese Generative Adversarial Privatizer for Biometric Data.
CoRR, 2018

SocialML: machine learning for social media video creators.
CoRR, 2018

Understanding Multimodal Popularity Prediction of Social Media Videos With Self-Attention.
IEEE Access, 2018

BinGAN: Learning Compact Binary Descriptors with a Regularized GAN.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Extracting Textual Overlays from Social Media Videos Using Neural Networks.
Proceedings of the Computer Vision and Graphics - International Conference, 2018

Aggregation of Binary Feature Descriptors for Compact Scene Model Representation in Large Scale Structure-from-Motion Applications.
Proceedings of the Computer Vision and Graphics - International Conference, 2018

SConE: Siamese Constellation Embedding Descriptor for Image Matching.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Interest Point Detectors Stability Evaluation on ApolloScape Dataset.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

I Know How You Feel: Emotion Recognition With Facial Landmarks.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Pay Attention to Virality: Understanding Popularity of Social Media Videos With the Attention Mechanism.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Recognizing Emotions with EmotionalDAN.
Proceedings of the Computational Modeling of Objects Presented in Images. Fundamentals, Methods, and Applications, 2018

Siamese Generative Adversarial Privatizer for Biometric Data.
Proceedings of the Computer Vision - ACCV 2018, 2018

2017
Predicting Popularity of Online Videos Using Support Vector Regression.
IEEE Trans. Multim., 2017

Random Binary Trees for Approximate Nearest Neighbour Search in Binary Space.
CoRR, 2017

What Looks Good with my Sofa: Multimodal Search Engine for Interior Design.
CoRR, 2017

Understanding aesthetics in photography using deep convolutional neural networks.
Proceedings of the Signal Processing: Algorithms, 2017

Random Binary Search Trees for Approximate Nearest Neighbour Search in Binary Space.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

Recurrent Neural Networks for Online Video Popularity Prediction.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title.
Proceedings of the Foundations of Intelligent Systems - 23rd International Symposium, 2017

Speaker Diarization Using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings.
Proceedings of the Information Systems Architecture and Technology: Proceedings of 38th International Conference on Information Systems Architecture and Technology - ISAT 2017, 2017

Evaluation of Hashing Methods Performance on Binary Feature Descriptors.
Proceedings of the Image Processing and Communications Challenges 9, 2017

What Looks Good with my Sofa: Ensemble Multimodal Search for Interior Design.
Proceedings of the 2017 Federated Conference on Computer Science and Information Systems, 2017

Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2017

2015
Learning Image Descriptors with Boosting.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

2014
Learning and Matching Binary Local Feature Descriptors.
PhD thesis, 2014

Receptive Fields Selection for Binary Feature Description.
IEEE Trans. Image Process., 2014

2013
Boosting Binary Keypoint Descriptors.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Thick boundaries in binary space and their influence on nearest-neighbor search.
Pattern Recognit. Lett., 2012

BRIEF: Computing a Local Binary Descriptor Very Fast.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Learning Image Descriptors with the Boosting-Trick.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Efficient Discriminative Projections for Compact Binary Descriptors.
Proceedings of the Computer Vision - ECCV 2012, 2012


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