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Attila Lengyel
Attila Lengyel
PhD Candidate, TU Delft
Geverifieerd e-mailadres voor tudelft.nl
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Zero-shot day-night domain adaptation with a physics prior
A Lengyel, S Garg, M Milford, JC van Gemert
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
552021
Evaluating the performance of the LIME and Grad-CAM explanation methods on a LEGO multi-label image classification task
D Cian, J van Gemert, A Lengyel
arXiv preprint arXiv:2008.01584, 2020
242020
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
RJ Bruintjes, A Lengyel, MB Rios, OS Kayhan, D Zambrano, N Tomen, ...
arXiv preprint arXiv:2305.19688, 2023
162023
Vipriors 2: visual inductive priors for data-efficient deep learning challenges
A Lengyel, RJ Bruintjes, MB Rios, OS Kayhan, D Zambrano, N Tomen, ...
arXiv preprint arXiv:2201.08625, 2022
92022
Domain adaptation for rare classes augmented with synthetic samples
T Das, RJ Bruintjes, A Lengyel, J van Gemert, S Beery
arXiv preprint arXiv:2110.12216, 2021
72021
Exploiting Learned Symmetries in Group Equivariant Convolutions
A Lengyel, JC van Gemert
2021 IEEE International Conference on Image Processing (ICIP), 759-763, 2021
62021
Using and abusing equivariance
T Edixhoven, A Lengyel, JC van Gemert
Proceedings of the IEEE/CVF International Conference on Computer Vision, 119-128, 2023
42023
Color Equivariant Convolutional Networks
A Lengyel, O Strafforello, RJ Bruintjes, A Gielisse, J van Gemert
Advances in Neural Information Processing Systems 36, 2024
12024
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
RJ Bruintjes, A Lengyel, MB Rios, OS Kayhan, D Zambrano, N Tomen, ...
arXiv preprint arXiv:2305.19688, 2023
2023
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models
J Warchocki, T Oprescu, Y Wang, A Dămăcuş, P Misterka, RJ Bruintjes, ...
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
2023
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation
L Zeng, A Lengyel, N Tömen, J van Gemert
arXiv preprint arXiv:2211.14074, 2022
2022
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Artikelen 1–11