Robert-Jan Bruintjes

17 papers A* 3Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Data-Efficient Challenges in Visual Inductive Priors: A Retrospective. CoRR Robert-Jan Bruintjes, Attila Lengyel, Osman Semih Kayhan, Davide Zambrano, Nergis Tömen, Hadi Jamali Rad, Jan van Gemert
2025	J	`jnl`	Learning to Adapt to Position Bias in Vision Transformer Classifiers. CoRR Robert-Jan Bruintjes, Jan van Gemert
2024	—	`conf`	Scale Learning in Scale-Equivariant Convolutional Networks. VISIGRAPP (2): VISAPP Mark Basting, Robert-Jan Bruintjes, Thaddäus Wiedemer, Matthias Kümmerer, Matthias Bethge, Jan van Gemert
2024	J	`jnl`	VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert
2023	—	`conf`	Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models. ICCV (Workshops) Jan Warchocki, Teodor Oprescu, Yunhan Wang, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert
2023	J	`jnl`	Benchmarking Data Efficiency and Computational Efficiency of Temporal Action Localization Models. CoRR Jan Warchocki, Teodor Oprescu, Yunhan Wang, Alexandru Damacus, Paul Misterka, Robert-Jan Bruintjes, Attila Lengyel, Ombretta Strafforello, Jan van Gemert
2023	A*	`conf`	Color Equivariant Convolutional Networks. NeurIPS Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert
2023	J	`jnl`	Color Equivariant Convolutional Networks. CoRR Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes, Alexander Gielisse, Jan van Gemert
2023	J	`jnl`	VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert
2023	—	`conf`	What Affects Learned Equivariance in Deep Image Recognition Models? CVPR Workshops Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert
2023	J	`jnl`	What Affects Learned Equivariance in Deep Image Recognition Models? CoRR Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert
2022	A*	`conf`	FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. ICLR David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan van Gemert
2022	J	`jnl`	VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert
2021	J	`jnl`	Domain Adaptation for Rare Classes Augmented with Synthetic Samples. CoRR Tuhin Das, Robert-Jan Bruintjes, Attila Lengyel, Jan van Gemert, Sara Beery
2021	J	`jnl`	FlexConv: Continuous Kernel Convolutions with Differentiable Kernel Sizes. CoRR David W. Romero, Robert-Jan Bruintjes, Jakub M. Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan C. van Gemert
2021	J	`jnl`	VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. CoRR Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Jan van Gemert
2015	A*	`conf`	Probabilistic Multileave for Online Retrieval Evaluation. SIGIR 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