Nergis Tömen

According to our database, Nergis Tömen authored at least 16 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces.

Paul Hueber, Guangzhi Tang, Manolis Sifalakis, Hua-Peng Liaw, Aurora Micheli, Nergis Tomen, Yao-Hong Liu

Neuromorph. Comput. Eng., 2024

Local Attention Transformers for High-Detail Optical Flow Upsampling.

Alexander Gielisse, Nergis Tömen, Jan van Gemert

CoRR, 2024

Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems.

Alejandro Castañeda Garcia, Jan van Gemert, Daan Brinks, Nergis Tömen

CoRR, 2024

Deep activity propagation via weight initialization in spiking neural networks.

Aurora Micheli, Olaf Booij, Jan van Gemert, Nergis Tömen

CoRR, 2024

Pushing the boundaries of event subsampling in event-based video classification using CNNs.

Hesam Araghi, Jan van Gemert, Nergis Tomen

CoRR, 2024

VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.

Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert

CoRR, 2024

2023

VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.

Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert

CoRR, 2023

2022

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges.

Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista-Ríos, Osman Semih Kayhan, Davide Zambrano, Nergis Tomen, Jan van Gemert

CoRR, 2022

Heart rate estimation in intense exercise videos.

Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan C. van Gemert

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation.

Liang Zeng, Attila Lengyel, Nergis Tomen, Jan C. van Gemert

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory.

Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert

IEEE Trans. Image Process., 2021

Deep Continuous Networks.

Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert

Proceedings of the 38th International Conference on Machine Learning, 2021

Spectral Leakage and Rethinking the Kernel Size in CNNs.

Nergis Tomen, Jan C. van Gemert

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Frequency learning for structured CNN filters with Gaussian fractional derivatives.

Nikhil Saldanha, Silvia-Laura Pintea, Jan C. van Gemert, Nergis Tomen

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Top-Down Networks: A coarse-to-fine reimagination of CNNs.

Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2012

Feature Space Quantization for Data-Driven Search.

Nergis Tomen, Makoto Takemiya, Takeshi Matsuo, Isao Hasegawa, Yukiyasu Kamitani

Proceedings of the Second International Workshop on Pattern Recognition in NeuroImaging, 2012