Stop the war!Остановите войну!
for scientists:
Google
Google Scholar
Semantic Scholar
IA Scholar
CiteSeerX
ORCIDTomasz Trzcinski
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2022
[j15]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): 722-729 (2022)- [c44]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: 14-27 - [c43]Tomasz Smierzchalski, Lukasz Pawela, Zbigniew Puchala, Tomasz Trzcinski, Bartlomiej Gardas:
Post-error Correction for Quantum Annealing Processor Using Reinforcement Learning. ICCS (4) 2022: 261-268 - [c42]Witold Oleszkiewicz, Dominika Basaj, Tomasz Trzcinski, Bartosz Zielinski:
Which Visual Features Impact the Performance of Target Task in Self-supervised Learning? ICCS (1) 2022: 331-344 - [c41]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: 441-454 - [i64]Wojciech Masarczyk, Pawel Wawrzynski, Daniel Marczak, Kamil Deja, Tomasz Trzcinski:
Logarithmic Continual Learning. CoRR abs/2201.06534 (2022) - [i63]Tomasz Szczepanski, Arkadiusz Sitek, Tomasz Trzcinski, Szymon Plotka:
POTHER: Patch-Voted Deep Learning-based Chest X-ray Bias Analysis for COVID-19 Detection. CoRR abs/2201.09360 (2022) - [i62]Maciej Zamorski, Michal Stypulkowski, Konrad Karanowski, Tomasz Trzcinski, Maciej Zieba:
Continual learning on 3D point clouds with random compressed rehearsal. CoRR abs/2205.08013 (2022) - [i61]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 abs/2205.09382 (2022) - [i60]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 abs/2205.13835 (2022) - [i59]Anna Wróblewska, Jozef Jasek, Bogdan Jastrzebski, Stanislaw Pawlak, Anna Grzywacz, Siew Ann Cheong, Tan Seng Chee, Tomasz Trzcinski, Janusz Holyst:
A Deep Learning Approach for Automatic Detection of Qualitative Features of Lecturing. CoRR abs/2205.14919 (2022) - [i58]Kamil Deja, Anna Kuzina, Tomasz Trzcinski, Jakub M. Tomczak:
On Analyzing Generative and Denoising Capabilities of Diffusion-based Deep Generative Models. CoRR abs/2206.00070 (2022) - [i57]D. Zimny, Tomasz Trzcinski, Przemyslaw Spurek:
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud. CoRR abs/2206.01290 (2022) - [i56]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 abs/2206.07996 (2022) - 2021
- [j14]Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Przemyslaw Spurek, Tomasz Trzcinski:
End-to-End Sinkhorn Autoencoder With Noise Generator. IEEE Access 9: 7211-7219 (2021) - [j13]Michal Stypulkowski, Kacper Kania, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski, Jan Chorowski:
Representing point clouds with generative conditional invertible flow networks. Pattern Recognit. Lett. 150: 26-32 (2021) - [c40]Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski:
FetalNet: Multi-task Deep Learning Framework for Fetal Ultrasound Biometric Measurements. ICONIP (6) 2021: 257-265 - [c39]Ivona Tautkute, Tomasz Trzcinski:
SynthTriplet GAN: Synthetic Query Expansion for Multimodal Retrieval. ICONIP (4) 2021: 287-298 - [c38]Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski:
On Robustness of Generative Representations Against Catastrophic Forgetting. ICONIP (6) 2021: 325-333 - [c37]Michal Sadowski, Karol J. Piczak, Przemyslaw Spurek, Tomasz Trzcinski:
Continual Learning of 3D Point Cloud Generators. ICONIP (1) 2021: 330-341 - [c36]Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski:
Large-Scale Topological Radar Localization Using Learned Descriptors. ICONIP (2) 2021: 451-462 - [c35]Dominika Basaj, Witold Oleszkiewicz, Igor Sieradzki, Michal Górszczak, Barbara Rychalska, Tomasz Trzcinski, Bartosz Zielinski:
Explaining Self-Supervised Image Representations with Visual Probing. IJCAI 2021: 592-598 - [c34]Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski:
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. IJCNN 2021: 1-8 - [c33]Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski:
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. IJCNN 2021: 1-8 - [c32]Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski:
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. NeurIPS 2021: 2516-2528 - [c31]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. NeurIPS 2021: 10285-10298 - [c30]Jacek Komorowski, Grzegorz Kurzejamski, Monika Wysoczanska, Tomasz Trzcinski:
Global Point Cloud Descriptor for Place Recognition in Indoor Environments. VISIGRAPP (5: VISAPP) 2021: 216-224 - [i55]Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir K. Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski:
HyperPocket: Generative Point Cloud Completion. CoRR abs/2102.05973 (2021) - [i54]Przemyslaw Spurek, Sebastian Winczowski, Maciej Zieba, Tomasz Trzcinski, Kacper Kania:
Modeling 3D Surface Manifolds with a Locally Conditioned Atlas. CoRR abs/2102.05984 (2021) - [i53]Ivona Tautkute, Tomasz Trzcinski:
I Want This Product but Different : Multimodal Retrieval with Synthetic Query Expansion. CoRR abs/2102.08871 (2021) - [i52]Kacper Kania, Marek Kowalski, Tomasz Trzcinski:
TrajeVAE - Controllable Human Motion Generation from Trajectories. CoRR abs/2104.00351 (2021) - [i51]Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski:
MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition. CoRR abs/2104.05327 (2021) - [i50]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 abs/2104.08886 (2021) - [i49]Maciej Wolczyk, Bartosz Wójcik, Klaudia Balazy, Igor T. Podolak, Jacek Tabor, Marek Smieja, Tomasz Trzcinski:
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks. CoRR abs/2106.05409 (2021) - [i48]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. CoRR abs/2106.11054 (2021) - [i47]Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski:
Multiband VAE: Latent Space Partitioning for Knowledge Consolidation in Continual Learning. CoRR abs/2106.12196 (2021) - [i46]Szymon Plotka, Tomasz Wlodarczyk, Adam Klasa, Michal Lipa, Arkadiusz Sitek, Tomasz Trzcinski:
FetalNet: Multi-task deep learning framework for fetal ultrasound biometric measurements. CoRR abs/2107.06943 (2021) - [i45]Ivan Kostiuk, Przemyslaw Stachura, Slawomir K. Tadeja, Tomasz Trzcinski, Przemyslaw Spurek:
HyperColor: A HyperNetwork Approach for Synthesizing Auto-colored 3D Models for Game Scenes Population. CoRR abs/2108.01411 (2021) - [i44]Wojciech Masarczyk, Kamil Deja, Tomasz Trzcinski:
On robustness of generative representations against catastrophic forgetting. CoRR abs/2109.01844 (2021) - [i43]Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski:
Large-Scale Topological Radar Localization Using Learned Descriptors. CoRR abs/2110.03081 (2021) - [i42]Lukasz Struski, Pawel Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski:
Efficient GPU implementation of randomized SVD and its applications. CoRR abs/2110.03423 (2021) - [i41]Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemyslaw Spurek:
HyperCube: Implicit Field Representations of Voxelized 3D Models. CoRR abs/2110.05770 (2021) - [i40]Jacek Komorowski, Monika Wysoczanska, Tomasz Trzcinski:
EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale. CoRR abs/2110.12486 (2021) - [i39]Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Tomasz Trzcinski, Przemyslaw Spurek, Maciej Zieba:
Non-Gaussian Gaussian Processes for Few-Shot Regression. CoRR abs/2110.13561 (2021) - [i38]Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi:
CoNeRF: Controllable Neural Radiance Fields. CoRR abs/2112.01983 (2021) - 2020
- [j12]Maciej Zamorski, Maciej Zieba, Piotr Klukowski, Rafal Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzcinski:
Adversarial autoencoders for compact representations of 3D point clouds. Comput. Vis. Image Underst. 193: 102921 (2020) - [c29]Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski:
SuperNCN: Neighbourhood Consensus Network for Robust Outdoor Scenes Matching. ACIVS 2020: 492-503 - [c28]Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. ICML 2020: 9099-9108 - [c27]Tomasz Trzcinski:
Comixify: turning videos into comics. AI4Narratives@IJCAI 2020: 3 - [c26]Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski:
Spontaneous Preterm Birth Prediction Using Convolutional Neural Networks. ASMUS/PIPPI@MICCAI 2020: 274-283 - [c25]Monika Wysoczanska, Tomasz Trzcinski:
Multimodal Dance Recognition. VISIGRAPP (5: VISAPP) 2020: 558-565 - [c24]Michal Koperski, Tomasz K. Konopczynski, Rafal Nowak, Piotr Semberecki, Tomasz Trzcinski:
Plugin Networks for Inference under Partial Evidence. WACV 2020: 2872-2880 - [i37]Przemyslaw Spurek, Sebastian Winczowski, Jacek Tabor, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski:
Hypernetwork approach to generating point clouds. CoRR abs/2003.00802 (2020) - [i36]Witold Oleszkiewicz, Taro Makino, Stanislaw Jastrzebski, Tomasz Trzcinski, Linda Moy, Kyunghyun Cho, Laura Heacock, Krzysztof J. Geras:
Understanding the robustness of deep neural network classifiers for breast cancer screening. CoRR abs/2003.10041 (2020) - [i35]Kamil Deja, Jan Dubinski, Piotr Nowak, Sandro Wenzel, Tomasz Trzcinski:
End-to-end Sinkhorn Autoencoder with Noise Generator. CoRR abs/2006.06704 (2020) - [i34]Przemyslaw Spurek, Maciej Zieba, Jacek Tabor, Tomasz Trzcinski:
HyperFlow: Representing 3D Objects as Surfaces. CoRR abs/2006.08710 (2020) - [i33]Tomasz Wlodarczyk, Szymon Plotka, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Jakub Wójcicki, Michal Lipa, Tomasz Trzcinski:
Spontaneous preterm birth prediction using convolutional neural networks. CoRR abs/2008.07000 (2020) - [i32]Michal Stypulkowski, Kacper Kania, Maciej Zamorski, Maciej Zieba, Tomasz Trzcinski, Jan Chorowski:
Representing Point Clouds with Generative Conditional Invertible Flow Networks. CoRR abs/2010.11087 (2020) - [i31]Maciej Zieba, Marcin Przewiezlikowski, Marek Smieja, Jacek Tabor, Tomasz Trzcinski, Przemyslaw Spurek:
RegFlow: Probabilistic Flow-based Regression for Future Prediction. CoRR abs/2011.14620 (2020) - [i30]Kamil Deja, Pawel Wawrzynski, Daniel Marczak, Wojciech Masarczyk, Tomasz Trzcinski:
BinPlay: A Binary Latent Autoencoder for Generative Replay Continual Learning. CoRR abs/2011.14960 (2020)
2010 – 2019
- 2019
- [j11]Ivona Tautkute, Tomasz Trzcinski, Aleksander Skorupa, Lukasz Brocki, Krzysztof Marasek:
DeepStyle: Multimodal Search Engine for Fashion and Interior Design. IEEE Access 7: 84613-84628 (2019) - [j10]Michal Komorowski, Tomasz Trzcinski:
Random Binary Search Trees for approximate nearest neighbour search in binary spaces. Appl. Soft Comput. 79: 87-93 (2019) - [j9]Ivona Tautkute, Tomasz Trzcinski:
Classifying and Visualizing Emotions with Emotional DAN. Fundam. Informaticae 168(2-4): 269-285 (2019) - [j8]Maciej Pesko, Adam Svystun, Pawel Andruszkiewicz, Przemyslaw Rokita, Tomasz Trzcinski:
Comixify: Transform Video Into Comics. Fundam. Informaticae 168(2-4): 311-333 (2019) - [j7]Michal Sypetkowski, Grzegorz Sarwas, Tomasz Trzcinski:
Synthetic Image Translation for Football Players Pose Estimation. J. Univers. Comput. Sci. 25(6): 683-700 (2019) - [c23]Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof Nowinski:
Monitoring Achilles Tendon Healing Progress in Ultrasound Imaging with Convolutional Neural Networks. SUSI/PIPPI@MICCAI 2019: 65-73 - [c22]Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki:
Estimation of Preterm Birth Markers with U-Net Segmentation Network. SUSI/PIPPI@MICCAI 2019: 95-103 - [i29]Michal Koperski, Tomasz K. Konopczynski, Piotr Semberecki, Tomasz Trzcinski:
Plugin Networks for Inference under Partial Evidence. CoRR abs/1901.00326 (2019) - [i28]Tomasz Wlodarczyk, Szymon Plotka, Tomasz Trzcinski, Przemyslaw Rokita, Nicole Sochacki-Wójcicka, Michal Lipa, Jakub Wójcicki:
Estimation of preterm birth markers with U-Net segmentation network. CoRR abs/1908.09148 (2019) - [i27]Piotr Woznicki, Przemyslaw Przybyszewski, Norbert Kapinski, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof S. Nowinski:
Monitoring Achilles tendon healing progress in ultrasound imaging with convolutional neural networks. CoRR abs/1909.04973 (2019) - [i26]Norbert Kapinski, Jedrzej M. Nowosielski, Maciej E. Marchwiany, Jakub Zielinski, Beata Ciszkowska-Lyson, Bartosz A. Borucki, Tomasz Trzcinski, Krzysztof S. Nowinski:
Late fusion of deep learning and hand-crafted features for Achilles tendon healing monitoring. CoRR abs/1909.05687 (2019) - [i25]Grzegorz Kurzejamski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Simon Lynen, Tomasz Trzcinski:
SuperNCN: Neighbourhood consensus network for robust outdoor scenes matching. CoRR abs/1912.04627 (2019) - 2018
- [j6]Adam Bielski, Tomasz Trzcinski:
Understanding Multimodal Popularity Prediction of Social Media Videos With Self-Attention. IEEE Access 6: 74277-74287 (2018) - [c21]Witold Oleszkiewicz, Peter Kairouz, Karol J. Piczak, Ram Rajagopal, Tomasz Trzcinski:
Siamese Generative Adversarial Privatizer for Biometric Data. ACCV (5) 2018: 482-497 - [c20]Ivona Tautkute, Tomasz Trzcinski, Adam Bielski:
Recognizing Emotions with EmotionalDAN. CompIMAGE 2018: 120-128 - [c19]Ivona Tautkute, Tomasz Trzcinski, Adam Bielski:
I Know How You Feel: Emotion Recognition With Facial Landmarks. CVPR Workshops 2018: 1878-1880 - [c18]Adam Bielski, Tomasz Trzcinski:
Pay Attention to Virality: Understanding Popularity of Social Media Videos With the Attention Mechanism. CVPR Workshops 2018: 2335-2337 - [c17]Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen:
SConE: Siamese Constellation Embedding Descriptor for Image Matching. ECCV Workshops (1) 2018: 401-413 - [c16]Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski, Lukasz Dabala, Simon Lynen:
Interest Point Detectors Stability Evaluation on ApolloScape Dataset. ECCV Workshops (5) 2018: 727-739 - [c15]Adam Slucki, Tomasz Trzcinski, Adam Bielski, Pawel Cyrta:
Extracting Textual Overlays from Social Media Videos Using Neural Networks. ICCVG 2018: 287-299 - [c14]Jacek Komorowski, Tomasz Trzcinski:
Aggregation of Binary Feature Descriptors for Compact Scene Model Representation in Large Scale Structure-from-Motion Applications. ICCVG 2018: 363-374 - [c13]Norbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, Krzysztof S. Nowinski:
Estimating Achilles Tendon Healing Progress with Convolutional Neural Networks. MICCAI (2) 2018: 949-957 - [c12]Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski:
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. NeurIPS 2018: 3612-3622 - [i24]Ivona Tautkute, Tomasz Trzcinski, Aleksander Skorupa, Lukasz Brocki, Krzysztof Marasek:
DeepStyle: Multimodal Search Engine for Fashion and Interior Design. CoRR abs/1801.03002 (2018) - [i23]Tomasz Trzcinski, Adam Bielski, Pawel Cyrta, Matthew Zak:
SocialML: machine learning for social media video creators. CoRR abs/1802.02204 (2018) - [i22]Witold Oleszkiewicz, Tomasz Wlodarczyk, Karol J. Piczak, Tomasz Trzcinski, Peter Kairouz, Ram Rajagopal:
Siamese Generative Adversarial Privatizer for Biometric Data. CoRR abs/1804.08757 (2018) - [i21]Adam Bielski, Tomasz Trzcinski:
Pay Attention to Virality: understanding popularity of social media videos with the attention mechanism. CoRR abs/1804.09949 (2018) - [i20]Adam Slucki, Tomasz Trzcinski, Adam Bielski, Pawel Cyrta:
Extracting textual overlays from social media videos using neural networks. CoRR abs/1804.10687 (2018) - [i19]Ivona Tautkute, Tomasz Trzcinski, Adam Bielski:
I Know How You Feel: Emotion Recognition with Facial Landmarks. CoRR abs/1805.00326 (2018) - [i18]Norbert Kapinski, Jakub Zielinski, Bartosz A. Borucki, Tomasz Trzcinski, Beata Ciszkowska-Lyson, Krzysztof S. Nowinski:
Estimating Achilles tendon healing progress with convolutional neural networks. CoRR abs/1806.05091 (2018) - [i17]Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski:
BinGAN: Learning Compact Binary Descriptors with a Regularized GAN. CoRR abs/1806.06778 (2018) - [i16]Maciej Pesko, Tomasz Trzcinski:
Neural Comic Style Transfer: Case Study. CoRR abs/1809.01726 (2018) - [i15]Jacek Komorowski, Konrad Czarnota, Tomasz Trzcinski, Lukasz Dabala, Simon Lynen:
Interest point detectors stability evaluation on ApolloScape dataset. CoRR abs/1809.11039 (2018) - [i14]Tomasz Trzcinski, Jacek Komorowski, Lukasz Dabala, Konrad Czarnota, Grzegorz Kurzejamski, Simon Lynen:
SConE: Siamese Constellation Embedding Descriptor for Image Matching. CoRR abs/1809.11054 (2018) - [i13]Jacek Komorowski, Tomasz Trzcinski:
Aggregation of binary feature descriptors for compact scene model representation in large scale structure-from-motion applications. CoRR abs/1809.11062 (2018) - [i12]Ivona Tautkute, Tomasz Trzcinski:
Classifying and Visualizing Emotions with Emotional DAN. CoRR abs/1810.10529 (2018) - [i11]Maciej Zamorski, Maciej Zieba, Rafal Nowak, Wojciech Stokowiec, Tomasz Trzcinski:
Adversarial Autoencoders for Generating 3D Point Clouds. CoRR abs/1811.07605 (2018) - [i10]Maciej Pesko, Adam Svystun, Pawel Andruszkiewicz, Przemyslaw Rokita, Tomasz Trzcinski:
Comixify: Transform video into a comics. CoRR abs/1812.03473 (2018) - 2017
- [j5]Tomasz Trzcinski, Przemyslaw Rokita:
Predicting Popularity of Online Videos Using Support Vector Regression. IEEE Trans. Multim. 19(11): 2561-2570 (2017) - [c11]Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski:
Deep Alignment Network: A Convolutional Neural Network for Robust Face Alignment. CVPR Workshops 2017: 2034-2043 - [c10]Ivona Tautkute, Aleksandra Mozejko, Wojciech Stokowiec, Tomasz Trzcinski, Lukasz Brocki, Krzysztof Marasek:
What Looks Good with my Sofa: Ensemble Multimodal Search for Interior Design. FedCSIS 2017: 1275-1282 - [c9]Jacek Komorowski, Tomasz Trzcinski:
Evaluation of Hashing Methods Performance on Binary Feature Descriptors. IP&C 2017: 88-98 - [c8]Pawel Cyrta, Tomasz Trzcinski, Wojciech Stokowiec:
Speaker Diarization Using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings. ISAT (1) 2017: 107-117 - [c7]Wojciech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk, Krzysztof Marasek, Przemyslaw Rokita:
Shallow Reading with Deep Learning: Predicting Popularity of Online Content Using only Its Title. ISMIS 2017: 136-145 - [c6]Tomasz Trzcinski, Pawel Andruszkiewicz, Tomasz Bochenski, Przemyslaw Rokita:
Recurrent Neural Networks for Online Video Popularity Prediction. ISMIS 2017: 146-153 - [c5]Michal Komorowski, Tomasz Trzcinski:
Random Binary Search Trees for Approximate Nearest Neighbour Search in Binary Space. PReMI 2017: 473-479 - [c4]Maciej Suchecki, Tomasz Trzcinski:
Understanding aesthetics in photography using deep convolutional neural networks. SPA 2017: 149-153 - [i9]Marek Kowalski, Jacek Naruniec, Tomasz Trzcinski:
Deep Alignment Network: A convolutional neural network for robust face alignment. CoRR abs/1706.01789 (2017) - [i8]Wojciech Stokowiec, Tomasz Trzcinski, Krzysztof Wolk, Krzysztof Marasek, Przemyslaw Rokita:
Shallow reading with Deep Learning: Predicting popularity of online content using only its title. CoRR abs/1707.06806 (2017) - [i7]Tomasz Trzcinski, Pawel Andruszkiewicz, Tomasz Bochenski, Przemyslaw Rokita:
Recurrent Neural Networks for Online Video Popularity Prediction. CoRR abs/1707.06807 (2017) - [i6]Jacek Komorowski, Tomasz Trzcinski:
Evaluation of Hashing Methods Performance on Binary Feature Descriptors. CoRR abs/1707.06825 (2017) - [i5]Ivona Tautkute, Aleksandra Mozejko, Wojciech Stokowiec, Tomasz Trzcinski, Lukasz Brocki, Krzysztof Marasek:
What Looks Good with my Sofa: Multimodal Search Engine for Interior Design. CoRR abs/1707.06907 (2017) - [i4]Maciej Suchecki, Tomasz Trzcinski:
Understanding Aesthetics in Photography using Deep Convolutional Neural Networks. CoRR abs/1707.08985 (2017) - [i3]Pawel Cyrta, Tomasz Trzcinski, Wojciech Stokowiec:
Speaker Diarization using Deep Recurrent Convolutional Neural Networks for Speaker Embeddings. CoRR abs/1708.02840 (2017) - [i2]Michal Komorowski, Tomasz Trzcinski:
Random Binary Trees for Approximate Nearest Neighbour Search in Binary Space. CoRR abs/1708.02976 (2017) - 2015
- [j4]Tomasz Trzcinski, C. Mario Christoudias, Vincent Lepetit:
Learning Image Descriptors with Boosting. IEEE Trans. Pattern Anal. Mach. Intell. 37(3): 597-610 (2015) - [i1]Tomasz Trzcinski, Przemyslaw Rokita:
Predicting popularity of online videos using Support Vector Regression. CoRR abs/1510.06223 (2015) - 2014
- [j3]Bin Fan, Qingqun Kong, Tomasz Trzcinski, Zhiheng Wang, Chunhong Pan, Pascal Fua:
Receptive Fields Selection for Binary Feature Description. IEEE Trans. Image Process. 23(6): 2583-2595 (2014) - 2013
- [c3]Tomasz Trzcinski, C. Mario Christoudias, Pascal Fua, Vincent Lepetit:
Boosting Binary Keypoint Descriptors. CVPR 2013: 2874-2881 - 2012
- [j2]