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Rob Romijnders
Publication Activity (10 Years)
Years Active: 2016-2024
Publications (10 Years): 21
Top Topics
Manifold Alignment
Differential Privacy
Convolutional Network
Covariate Shift
Top Venues
CoRR
WACV
AISTATS
ITSC
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Publications
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Rob Romijnders
,
Christos Louizos
,
Yuki M. Asano
,
Max Welling
DNA: Differentially private Neural Augmentation for contact tracing.
CoRR
(2024)
Rob Romijnders
,
Christos Louizos
,
Yuki M. Asano
,
Max Welling
Protect Your Score: Contact-Tracing with Differential Privacy Guarantees.
AAAI
(2024)
Rob Romijnders
,
Christos Louizos
,
Yuki M. Asano
,
Max Welling
Protect Your Score: Contact Tracing With Differential Privacy Guarantees.
CoRR
(2023)
Simon Mariani
,
Sander R. Klomp
,
Rob Romijnders
,
Peter H. N. de With
The Effect of Covariate Shift and Network Training on Out-of-Distribution Detection.
VISIGRAPP (5: VISAPP)
(2023)
Rob Romijnders
,
Yuki M. Asano
,
Christos Louizos
,
Max Welling
No time to waste: practical statistical contact tracing with few low-bit messages.
AISTATS
(2023)
Anurag Arnab
,
Xuehan Xiong
,
Alexey A. Gritsenko
,
Rob Romijnders
,
Josip Djolonga
,
Mostafa Dehghani
,
Chen Sun
,
Mario Lucic
,
Cordelia Schmid
Beyond Transfer Learning: Co-finetuning for Action Localisation.
CoRR
(2022)
Matthias Minderer
,
Josip Djolonga
,
Rob Romijnders
,
Frances Hubis
,
Xiaohua Zhai
,
Neil Houlsby
,
Dustin Tran
,
Mario Lucic
Revisiting the Calibration of Modern Neural Networks.
NeurIPS
(2021)
Cristina Vasconcelos
,
Hugo Larochelle
,
Vincent Dumoulin
,
Rob Romijnders
,
Nicolas Le Roux
,
Ross Goroshin
Impact of Aliasing on Generalization in Deep Convolutional Networks.
ICCV
(2021)
Rob Romijnders
,
Aravindh Mahendran
,
Michael Tschannen
,
Josip Djolonga
,
Marvin Ritter
,
Neil Houlsby
,
Mario Lucic
Representation learning from videos in-the-wild: An object-centric approach.
WACV
(2021)
Jessica Yung
,
Rob Romijnders
,
Alexander Kolesnikov
,
Lucas Beyer
,
Josip Djolonga
,
Neil Houlsby
,
Sylvain Gelly
,
Mario Lucic
,
Xiaohua Zhai
SI-Score: An image dataset for fine-grained analysis of robustness to object location, rotation and size.
CoRR
(2021)
Cristina Vasconcelos
,
Hugo Larochelle
,
Vincent Dumoulin
,
Rob Romijnders
,
Nicolas Le Roux
,
Ross Goroshin
Impact of Aliasing on Generalization in Deep Convolutional Networks.
CoRR
(2021)
Matthias Minderer
,
Josip Djolonga
,
Rob Romijnders
,
Frances Hubis
,
Xiaohua Zhai
,
Neil Houlsby
,
Dustin Tran
,
Mario Lucic
Revisiting the Calibration of Modern Neural Networks.
CoRR
(2021)
Josip Djolonga
,
Jessica Yung
,
Michael Tschannen
,
Rob Romijnders
,
Lucas Beyer
,
Alexander Kolesnikov
,
Joan Puigcerver
,
Matthias Minderer
,
Alexander D'Amour
,
Dan Moldovan
,
Sylvain Gelly
,
Neil Houlsby
,
Xiaohua Zhai
,
Mario Lucic
On Robustness and Transferability of Convolutional Neural Networks.
CVPR
(2021)
Josip Djolonga
,
Jessica Yung
,
Michael Tschannen
,
Rob Romijnders
,
Lucas Beyer
,
Alexander Kolesnikov
,
Joan Puigcerver
,
Matthias Minderer
,
Alexander D'Amour
,
Dan Moldovan
,
Sylvain Gelly
,
Neil Houlsby
,
Xiaohua Zhai
,
Mario Lucic
On Robustness and Transferability of Convolutional Neural Networks.
CoRR
(2020)
Rob Romijnders
,
Aravindh Mahendran
,
Michael Tschannen
,
Josip Djolonga
,
Marvin Ritter
,
Neil Houlsby
,
Mario Lucic
Representation learning from videos in-the-wild: An object-centric approach.
CoRR
(2020)
Rob Romijnders
,
Panagiotis Meletis
,
Gijs Dubbelman
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation.
WACV
(2019)
Panagiotis Meletis
,
Rob Romijnders
,
Gijs Dubbelman
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision.
CoRR
(2019)
Panagiotis Meletis
,
Rob Romijnders
,
Gijs Dubbelman
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision.
ITSC
(2019)
Rob Romijnders
,
Panagiotis Meletis
,
Gijs Dubbelman
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation.
CoRR
(2018)
Yu Zhao
,
Rennong Yang
,
Guillaume Chevalier
,
Rajiv Shah
,
Rob Romijnders
Applying Deep Bidirectional LSTM and Mixture Density Network for Basketball Trajectory Prediction.
CoRR
(2017)
Rajiv Shah
,
Rob Romijnders
Applying Deep Learning to Basketball Trajectories.
CoRR
(2016)