Katedra Uczenia Maszynowego - lista publikacji

1-37 z 37.

2025

37.
Adrito Das, Danyal Khan, Dimitrios Psychogyios, Yitong Zhang, John G. Hanrahan, Francisco Vasconcelos, You Pang, Zhen Chen, Jinlin Wu, Xiaoyang Zou, Guayan Zheng, Abdul Qayyum, Moona Mazher, Imran Razzak, Tianbin Li, Jin Ye, Junjun He, Szymon Płotka, Joanna Kaleta, Amine Yamlahi, Antoine Jund, Patrick Godau, Satoshi Kondo, Satoshi Kasai, Kousuke Hirasawa, Dominik Rivoir, Stefanie Speidel, Alejandra Perez, Santiago Rodriguez, Pablo Arbalaez, Danail Stoyanov, Hani Marcus, Sophia Bano
36.
Szymon Płotka, Gizem Mert, Maciej Chrabaszcz, Ewa Szczurek, Arkadiusz Sitek
Mamba Goes HoME: Hierarchical Soft Mixture-of-Experts for 3D Medical Image Segmentation, Advances in Neural Information Processing Systems [NeurIPS], (2025),
35.
Tomasz Szczepański, Szymon Płotka, Michał Grzeszczyk, Arleta Adamowicz, Piotr Fudalej, Przemyslaw Korzeniowski, Tomasz Trzcinski, Arkadiusz Sitek
GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation, Medical Image Computing and Computer-Assisted Intervention [MICCAI] vol. 15961 (2025), 218–228
34.
Joanna Waczyńska, Tomasz Szczepanik, Piotr Borycki, Sławomir K. Tadeja, Thomas Bohné, Przemysław Spurek
MiraGe: Editable 2D Images using Gaussian Splatting, International Conference on Machine Learning [ICML], (2025),
33.
Adam Kania, Marko Mihajlovic, Prokudin Sergey, Jacek Tabor, Przemysław Spurek
FreSh: Frequency Shifting for Accelerated Neural Representation Learning, International Conference on Learning Representations [ICLR] vol. 9798331320850 (2025), 1-24
32.
Joanna Kaleta, Weronika Smolak-Dyżewska, Malarz Dawid, Diego Dall’Alba, Przemyslaw Korzeniowski, Przemysław Spurek
PR-ENDO: Physically Based Relightable Gaussian Splatting for Endoscopy, Medical Image Computing and Computer-Assisted Intervention [MICCAI] vol. 15969} (2025), 391 -- 401
31.
Kornel Howil, Joanna Waczyńska, Piotr Borycki, Tadeusz Dziarmaga, Marcin Mazur, Przemysław Spurek
CLIPGaussian: Universal and Multimodal Style Transfer Based on Gaussian Splatting, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2025), accepted
30.
Adam Kania, Artur Kasymov, Jakub Kościukiewicz, Artur Górak, Marcin Mazur, Maciej Zięba, Przemysław Spurek
HyperNeRFGAN: Camera-Free 3D Scene Generation via Hypernetwork-Driven Neural Radiance Fields, IEEE International Conference on Data Science and Advanced Analytics [DSAA](MAIN), (2025), accepted
29.
Kamil Książek, Wilhelm Masarczyk, Przemysław Głomb, Michał Romaszewski, Krisztián Buza, Przemysław Sekuła, Michał Cholewa, Katarzyna Kołodziej, Piotr Gorczyca, Magdalena Piegza
26.
Piotr Gaiński, Michał Koziarski, Krzysztof Maziarz, Marvin Segler, Jacek Tabor, Marek Śmieja
25.
Marcin Przewięźlikowski, Randal Balestriero, Wojciech Jasiński, Marek Śmieja, Bartosz Zieliński
Beyond [cls]: Exploring the true potential of Masked Image Modeling representations, IEEE International Conference on Computer Vision [ICCV], (2025),
24.
Magdalena Trędowicz, Marcin Mazur, Szymon Janusz, Arkadiusz Lewicki, Jacek Tabor, Łukasz Struski
PrAViC: Probabilistic Adaptation Framework for Real-Time Video Classification, European Conference on Artificial Intelligence [ECAI](MAIN), (2025), accepted
22.
Łukasz Struski, Michał B. Bednarczyk, Igor Podolak, Jacek Tabor
LapSum - One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection, International Conference on Machine Learning [ICML], (2025),
21.
Łukasz Struski, Tomasz Urbańczyk, Krzysztof Bucki, Bartłomiej Cupiał, Aneta Kaczyńska, Przemysław Spurek, Jacek Tabor
19.
17.
Piotr Borycki, Kubacki Piotr, Marcin Przewięźlikowski, Tomasz Kuśmierczyk, , Jacek Tabor
Hypernetwork Approach to Bayesian MAML (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 39 (2025), 29325-29327
16.
Bartosz Wójcik, Alessio Devoto, Karol Pustelnik, Pasquale Minervini, Simone Scardapane
Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 39 (2025), 21510-21518
15.
Mateusz Poleski, Jacek Tabor, Przemysław Spurek
GeoGuide: Geometric Guidance of Diffusion Models, IEEE Workshop on Applications of Computer Vision [WACV](MAIN) vol. 1 (2025), 297-305
14.
CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression, IEEE International Joint Conference on Neural Networks [IJCNN](MAIN), (2025), accepted
10.
8.
Mateusz Pach, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński, Dawid Rymarczyk
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision, International Conference on Learning Representations [ICLR](MAIN) vol. ICLR 2025 200 pkt (2025), 1-97
7.
Tadeusz Dziarmaga, Tomasz Arczewski, Marcin Mazur, Maciej Wołczyk
On-Policy Algorithms for Continual Reinforcement Learning (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 39(28) (2025), 29359-29361
5.
Joanna Waczyńska, Piotr Borycki, Sławomir K. Tadeja, Joanna Kaleta, Przemysław Spurek
D-MiSo: Editing Dynamic 3D Scenes using Multi-Gaussians Soup, Advances in Neural Information Processing Systems [NeurIPS] vol. 37 (2025), 107865--107889
2.
Bartosz Zieliński, Adam Pardyl, Grzegorz Kurzejamski, Jan Olszewski, Tomasz Trzciński
Beyond Grids: Exploring Elastic Input Sampling for Vision Transformers, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2025), 8536-8545
1.
Bartosz Zieliński, Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale, European Conference on Computer Vision [ECCV], (2025), 112-129