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Robert-Jan Bruintjes
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2020 – today
- 2024
- [c6]Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kümmerer, Matthias Bethge, Jan van Gemert:
Scale Learning in Scale-Equivariant Convolutional Networks. VISIGRAPP (2): VISAPP 2024: 567-574 - [i9]Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen
, Jan van Gemert:
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2406.18176 (2024) - 2023
- [c5]Robert-Jan Bruintjes
, Tomasz Motyka, Jan van Gemert:
What Affects Learned Equivariance in Deep Image Recognition Models? CVPR Workshops 2023: 4839-4847 - [c4]Jan Warchocki, Teodor Oprescu, Yunhan Wang, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert:
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models. ICCV (Workshops) 2023: 3000-3008 - [c3]Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert:
Color Equivariant Convolutional Networks. NeurIPS 2023 - [i8]Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert:
What Affects Learned Equivariance in Deep Image Recognition Models? CoRR abs/2304.02628 (2023) - [i7]Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2305.19688 (2023) - [i6]Jan Warchocki, Teodor Oprescu, Yunhan Wang, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert:
Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models. CoRR abs/2308.13082 (2023) - [i5]Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert:
Color Equivariant Convolutional Networks. CoRR abs/2310.19368 (2023) - 2022
- [c2]David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers
, Mark Hoogendoorn, Jan van Gemert:
FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. ICLR 2022 - [i4]Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert:
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2201.08625 (2022) - 2021
- [i3]Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Jan van Gemert:
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR abs/2103.03768 (2021) - [i2]David W. Romero, Robert-Jan Bruintjes, Jakub M. Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan C. van Gemert:
FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes. CoRR abs/2110.08059 (2021) - [i1]Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery:
Domain Adaptation for Rare Classes Augmented with Synthetic Samples. CoRR abs/2110.12216 (2021)
2010 – 2019
- 2015
- [c1]Anne Schuth, Robert-Jan Bruintjes
, Fritjof Buüttner, Joost van Doorn, Carla Groenland
, Harrie Oosterhuis, Cong-Nguyen Tran, Bas Veeling, Jos van der Velde
, Roger Wechsler, David Woudenberg, Maarten de Rijke
:
Probabilistic Multileave for Online Retrieval Evaluation. SIGIR 2015: 955-958
Coauthor Index
aka: Jan van Gemert
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