Feature Space Quantization for Data-Driven Search. - Nergis Tomen; Makoto Takemiya; Takeshi Matsuo; Isao Hasegawa; Yukiyasu Kamitani (PRNI, 2012)

Top-Down Networks: A coarse-to-fine reimagination of CNNs. - Ioannis Lelekas; Nergis Tomen; Silvia L. Pintea; Jan C. van Gemert (CVPR Workshops, 2020)

Frequency learning for structured CNN filters with Gaussian fractional derivatives. - Nikhil Saldanha; Silvia-Laura Pintea; Jan C. van Gemert; Nergis Tomen (BMVC, 2021)

Spectral Leakage and Rethinking the Kernel Size in CNNs. - Nergis Tomen; Jan C. van Gemert (ICCV, 2021)

Deep Continuous Networks. - Nergis Tomen; Silvia-Laura Pintea; Jan van Gemert (ICML, 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)

Copy-Pasting Coherent Depth Regions Improves Contrastive Learning for Urban-Scene Segmentation. - Liang Zeng 005; Attila Lengyel 001; Nergis Tomen; Jan C. van Gemert (BMVC, 2022)

Heart rate estimation in intense exercise videos. - Yeshwanth Napolean; Anwesh Marwade; Nergis Tomen; Puck Alkemade; Thijs Eijsvogels; Jan C. van Gemert (ICIP, 2022)

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Attila Lengyel 001; Robert-Jan Bruintjes; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; Jan van Gemert (CoRR, 2022)

VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Robert-Jan Bruintjes; Attila Lengyel 001; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; Jan van Gemert (CoRR, 2023)

Pushing the Boundaries of Event Subsampling in Event-Based Video Classification Using CNNs. - Hesam Araghi; Jan van Gemert; Nergis Tomen (ECCV Workshops (24), 2024)

VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges. - Robert-Jan Bruintjes; Attila Lengyel 001; Marcos Baptista-Ríos; Osman Semih Kayhan; Davide Zambrano; Nergis Tomen; 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)

Local Attention Transformers for High-Detail Optical Flow Upsampling. - Alexander Gielisse; Nergis Tömen; Jan van Gemert (CoRR, 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)

Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling. - Hesam Araghi; Jan van Gemert; Nergis Tomen (CVPR Workshops, 2025)

Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems. - Alejandro Castañeda Garcia; Jan Warchocki; Jan van Gemert; Daan Brinks; Nergis Tomen (CVPR, 2025)

Deep activity propagation via weight initialization in spiking neural networks. - Aurora Micheli; Olaf Booij; Jan van Gemert; Nergis Tömen (NICE, 2025)

Data-Efficient Challenges in Visual Inductive Priors: A Retrospective. - Robert-Jan Bruintjes; Attila Lengyel 001; Osman Semih Kayhan; Davide Zambrano; Nergis Tömen; Hadi Jamali Rad; Jan van Gemert (CoRR, 2025)