| 2025 | CVPR | Making Every Event Count: Balancing Data Efficiency and Accuracy in Event Camera Subsampling. | Hesam Araghi, Jan van Gemert, Nergis Tomen |
| 2025 | CVPR | Learning Physics From Video: Unsupervised Physical Parameter Estimation for Continuous Dynamical Systems. | Alejandro Castaeda Garcia, Jan Warchocki, Jan van Gemert, Daan Brinks, Nergis Tomen |
| 2025 | CVPR | End-to-End Implicit Neural Representations for Classification. | Alexander Gielisse, Jan van Gemert |
| 2025 | ICRA | GazeHTA: End-to-End Gaze Target Detection with Head-Target Association. | Zhi-Yi Lin, Jouh Yeong Chew, Jan van Gemert, Xucong Zhang |
| 2024 | ECCV | Pushing the Boundaries of Event Subsampling in Event-Based Video Classification Using CNNs. | Hesam Araghi, Jan van Gemert, Nergis Tomen |
| 2024 | ECCV | MSD: A Benchmark Dataset for Floor Plan Generation of Building Complexes. | Casper van Engelenburg, Fatemeh Mostafavi, Emanuel Kuhn, Yuntae Jeon, Michael Franzen, Matthias Standfest, Jan van Gemert, Seyran Khademi |
| 2024 | ECCV | Aligning Object Detector Bounding Boxes with Human Preference. | Ombretta Strafforello, Osman Semih Kayhan, Oana Inel, Klamer Schutte, Jan van Gemert |
| 2024 | VISIGRAPP | Scale Learning in Scale-Equivariant Convolutional Networks. | Mark Basting, Robert-Jan Bruintjes, Thaddus Wiedemer, Matthias Kmmerer, Matthias Bethge, Jan van Gemert |
| 2023 | CVPR | What Affects Learned Equivariance in Deep Image Recognition Models? | Robert-Jan Bruintjes, Tomasz Motyka, Jan van Gemert |
| 2023 | ICLR | Understanding weight-magnitude hyperparameters in training binary networks. | Joris Quist, Yunqiang Li, Jan van Gemert |
| 2023 | WACV | LAB: Learnable Activation Binarizer for Binary Neural Networks. | Sieger Falkena, Hadi Jamali Rad, Jan van Gemert |
| 2022 | ICIP | Humans Disagree With the IoU for Measuring Object Detector Localization Error. | Ombretta Strafforello, Vanathi Rajasekart, Osman Semih Kayhan, Oana Inel, Jan van Gemert |
| 2022 | ICLR | FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes. | David W. Romero, Robert-Jan Bruintjes, Jakub Mikolaj Tomczak, Erik J. Bekkers, Mark Hoogendoorn, Jan van Gemert |
| 2021 | AAAI | Deep Unsupervised Image Hashing by Maximizing Bit Entropy. | Yunqiang Li, Jan van Gemert |
| 2021 | ICIP | Exploiting Learned Symmetries in Group Equivariant Convolutions. | Attila Lengyel, Jan van Gemert |
| 2021 | ICIP | Semi-Supervised Lane Detection With Deep Hough Transform. | Yancong Lin, Silvia-Laura Pintea, Jan van Gemert |
| 2021 | ICIP | PUNet: Temporal Action Proposal Generation With Positive Unlabeled Learning Using Key Frame Annotations. | Noor Ul Sehr Zia, Osman Semih Kayhan, Jan van Gemert |
| 2021 | ICML | Deep Continuous Networks. | Nergis Tomen, Silvia-Laura Pintea, Jan van Gemert |
| 2020 | BMVC | Black Magic in Deep Learning: How Human Skill Impacts Network Training. | Kanav Anand, Ziqi Wang, Marco Loog, Jan van Gemert |
| 2020 | ECCV | Efficiency in Real-Time Webcam Gaze Tracking. | Amogh Gudi, Xin Li, Jan van Gemert |
| 2020 | ICPR | Zoom-CAM: Generating Fine-grained Pixel Annotations from Image Labels. | Xiangwei Shi, Seyran Khademi, Yunqiang Li, Jan van Gemert |
| 2020 | ICPR | WeightAlign: Normalizing Activations by Weight Alignment. | Xiangwei Shi, Yunqiang Li, Xin Liu, Jan van Gemert |
| 2020 | ICPR | Respecting Domain Relations: Hypothesis Invariance for Domain Generalization. | Ziqi Wang, Marco Loog, Jan van Gemert |
| 2019 | BMVC | Push for Quantization: Deep Fisher Hashing. | Yunqiang Li, Wenjie Pei, Yufei Zha, Jan van Gemert |
| 2019 | CVPR | ViDeNN: Deep Blind Video Denoising. | Michele Claus, Jan van Gemert |
| 2019 | CVPR | Deep Visual City Recognition Visualization. | Xiangwei Shi, Seyran Khademi, Jan van Gemert |