Publications

I attempt to keep this list current. In case I fail, please refer to my profiles on Semantic Scholar or Google Scholar.

Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert (2023). Color Equivariant Convolutional Networks. NeurIPS 2023.

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Jan Warchocki, Teodor Oprescu, Yunhan Wang, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert (2023). Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models. ICCVW 2023.

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Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert (2023). VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. ArXiv.

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Robert-Jan Bruintjes*, Tomasz Motyka*, Jan van Gemert (2023). What Affects Learned Equivariance in Deep Image Recognition Models?. CVPRW 2023.

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Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista Rios, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert (2022). VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. ArXiv.

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David W. Romero*, Robert-Jan Bruintjes*, Jakub M. Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan C. van Gemert (2022). FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes. ICLR 2022.

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Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery (2021). Domain Adaptation for Rare Classes Augmented with Synthetic Samples. ArXiv.

ArXiv

Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista Rios, Osman Semih Kayhan, Jan van Gemert (2021). VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. ArXiv.

Website ArXiv Code

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 (2015). Probabilistic multileave for online retrieval evaluation. SIGIR.

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