Nergis Tomen

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 17

Top Topics

Hierarchical Segmentation

Feature Correspondences

Top Venues

IEEE Trans. Image Process.

Publications

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)
Paul Hueber, Guangzhi Tang, Manolis Sifalakis, Hua-Peng Liaw, Aurora Micheli, Nergis Tomen, Yao-Hong Liu
Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces. Neuromorph. Comput. Eng. 4 (2) (2024)
Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
Deep Continuous Networks. CoRR (2024)
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)
Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan van Gemert
Heart rate estimation in intense exercise videos. CoRR (2022)
Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan C. van Gemert
Heart rate estimation in intense exercise videos. ICIP (2022)
Liang Zeng, Attila Lengyel, Nergis Tomen, Jan C. van Gemert
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation. BMVC (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)
Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert, Nergis Tomen
Frequency learning for structured CNN filters with Gaussian fractional derivatives. CoRR (2021)
Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert
Resolution learning in deep convolutional networks using scale-space theory. CoRR (2021)
Nikhil Saldanha, Silvia-Laura Pintea, Jan C. van Gemert, Nergis Tomen
Frequency learning for structured CNN filters with Gaussian fractional derivatives. BMVC (2021)
Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert
Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory. IEEE Trans. Image Process. 30 (2021)
Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert
Deep Continuous Networks. ICML (2021)
Nergis Tomen, Jan C. van Gemert
Spectral Leakage and Rethinking the Kernel Size in CNNs. ICCV (2021)
Nergis Tomen, Jan van Gemert
Spectral Leakage and Rethinking the Kernel Size in CNNs. CoRR (2021)
Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
Top-Down Networks: A coarse-to-fine reimagination of CNNs. CVPR Workshops (2020)
Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
Top-Down Networks: A coarse-to-fine reimagination of CNNs. CoRR (2020)
Nergis Tomen, Makoto Takemiya, Takeshi Matsuo, Isao Hasegawa, Yukiyasu Kamitani
Feature Space Quantization for Data-Driven Search. PRNI (2012)