Robert-Jan Bruintjes

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 14

Top Topics

Temporal Dependencies

Convolution Kernel

Computational Efficiency

Top Venues

ICCV (Workshops)

Publications

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)
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 (2024)
Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert
Color Equivariant Convolutional Networks. NeurIPS (2023)
Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert
Color Equivariant Convolutional Networks. CoRR (2023)
Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert
VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR (2023)
Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert
What Affects Learned Equivariance in Deep Image Recognition Models? CoRR (2023)
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 (2023)
Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert
What Affects Learned Equivariance in Deep Image Recognition Models? CVPR Workshops (2023)
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)
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)
Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR (2022)
Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery
Domain Adaptation for Rare Classes Augmented with Synthetic Samples. CoRR (2021)
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 (2021)
Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Rios, Osman Semih Kayhan, Jan van Gemert
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR (2021)
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)