Nergis Tomen

23 papers A* 3A 2B 1Journal 13Unranked 4
YearRankTypeTitle / Venue / Authors
2025 A* conf
Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems.
CVPR
Alejandro Castañeda Garcia, Jan Warchocki, Jan van Gemert, Daan Brinks, Nergis Tomen
2025 — conf
Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling.
CVPR Workshops
Hesam Araghi, Jan van Gemert, Nergis Tomen
2025 J jnl
Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling.
CoRR
Hesam Araghi, Jan van Gemert, Nergis Tomen
2024 J jnl
Benchmarking of hardware-efficient real-time neural decoding in brain-computer interfaces.
Neuromorph. Comput. Eng.
Paul Hueber, Guangzhi Tang, Manolis Sifalakis, Hua-Peng Liaw, Aurora Micheli, Nergis Tomen, Yao-Hong Liu
2024 J jnl
Deep Continuous Networks.
CoRR
Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
2024 — conf
Pushing the Boundaries of Event Subsampling in Event-Based Video Classification Using CNNs.
ECCV Workshops (24)
Hesam Araghi, Jan van Gemert, Nergis Tomen
2024 J jnl
Pushing the boundaries of event subsampling in event-based video classification using CNNs.
CoRR
Hesam Araghi, Jan van Gemert, Nergis Tomen
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 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
2022 A conf
Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation.
BMVC
Liang Zeng, Attila Lengyel, Nergis Tomen, Jan C. van Gemert
2022 B conf
Heart rate estimation in intense exercise videos.
ICIP
Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, Jan C. van Gemert
2022 J jnl
Heart rate estimation in intense exercise videos.
CoRR
Yeshwanth Napolean, Anwesh Marwade, Nergis Tomen, Puck Alkemade, Thijs Eijsvogels, 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 A* conf
Deep Continuous Networks.
ICML
Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert
2021 A conf
Frequency learning for structured CNN filters with Gaussian fractional derivatives.
BMVC
Nikhil Saldanha, Silvia-Laura Pintea, Jan C. van Gemert, Nergis Tomen
2021 J jnl
Frequency learning for structured CNN filters with Gaussian fractional derivatives.
CoRR
Nikhil Saldanha, Silvia L. Pintea, Jan C. van Gemert, Nergis Tomen
2021 J jnl
Resolution Learning in Deep Convolutional Networks Using Scale-Space Theory.
IEEE Trans. Image Process.
Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert
2021 J jnl
Resolution learning in deep convolutional networks using scale-space theory.
CoRR
Silvia L. Pintea, Nergis Tomen, Stanley F. Goes, Marco Loog, Jan C. van Gemert
2021 A* conf
Spectral Leakage and Rethinking the Kernel Size in CNNs.
ICCV
Nergis Tomen, Jan C. van Gemert
2021 J jnl
Spectral Leakage and Rethinking the Kernel Size in CNNs.
CoRR
Nergis Tomen, Jan van Gemert
2020 — conf
Top-Down Networks: A coarse-to-fine reimagination of CNNs.
CVPR Workshops
Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
2020 J jnl
Top-Down Networks: A coarse-to-fine reimagination of CNNs.
CoRR
Ioannis Lelekas, Nergis Tomen, Silvia L. Pintea, Jan C. van Gemert
2012 — conf
Feature Space Quantization for Data-Driven Search.
PRNI
Nergis Tomen, Makoto Takemiya, Takeshi Matsuo, Isao Hasegawa, Yukiyasu Kamitani