Publications

Haochen Wang, Cilin Yan, Shuai Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Weidi Xie, Efstratios Gavves (2023). Towards open-vocabulary video instance segmentation. IEEE International Conference on Computer Vision.

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Mohammadreza Salehi, Efstratios Gavves, Cees GM Snoek, Yuki M Asano (2023). Time does tell: Self-supervised time-tuning of dense image representations. IEEE International Conference on Computer Vision.

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Lucas de Vries, Rudolf van Herten, Jan Hoving, Ivana Išgum, Bart Emmer, Charles Majoie, Henk Marquering, Efstratios Gavves (2023). Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke. Journal on Medical Image Analysis.

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W Yin, Jan-Jakob Sonke, Efstratios Gavves (2023). PC-Reg: A pyramidal prediction–correction approach for large deformation image registration. Journal on Medical Image Analysis.

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Samuele Papa, Efstratios Gavves, Jan-Jakob Sonke (2023). Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. Medical Image Computing and Computer Assisted Intervention Society.

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Samuele Papa, David Knigge, Riccardo Valperga, Nikita Moriakov, Miltos Kofinas, Jan-Jakob Sonke, Efstratios Gavves (2023). Neural Modulation Fields for Conditional Cone Beam Neural Tomography. SynS and ML Workshop, ICML.

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Ilze Auzina, Cagatay Yildiz, Sara Magliacane, Matthias Bethge, Efstratios Gavves (2023). Modulated Neural ODEs. Neural Information Processing Systems.

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David Knigge, David Romero, Albert Gu, Efstratios Gavves, Erik Bekkers, Jakub Tomczak, Mark Hoogendoorn, Jan-Jakob Sonke (2023). Modelling Long Range Dependencies in ND: From Task-Specific to a General Purpose CNN. International Conference on Learning Representations.

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Miltiadis Kofinas, Erik Bekkers, Naveen Shankar Nagaraja, Efstratios Gavves (2023). Latent Field Discovery In Interacting Dynamical Systems With Neural Fields. Neural Information Processing Systems.

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Yongtuo Liu, Sara Magliacane, Miltos Kofinas, Efstratios Gavves (2023). Graph Switching Dynamical Systems. International Conference on Machine Learning.

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Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves (2023). BISCUIT: Causal Representation Learning from Binary Interactions. Association for Uncertainty in Artificial Intelligence.

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Adeel Pervez, Efstratios Gavves (2022). Stability Regularization for Discrete Representation Learning. International Conference on Learning Representations.

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Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves (2022). NFormer: Robust Person Re-Identification With Neighbor Transformer. IEEE Conference on Computer Vision and Pattern Recognition.

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Phillip Lippe, Taco Cohen, Efstratios Gavves (2022). Efficient Neural Causal Discovery without Acyclicity Constraints. International Conference on Learning Representations.

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Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves (2022). Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. IEEE Conference on Computer Vision and Pattern Recognition.

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Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen (2022). DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images. Journal on Medical Image Analysis.

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Riaan et al. Zoetmulder (2022). Deep Learning-Based Thrombus Localization and Segmentation in Patients with Posterior Circulation Stroke. Diagnostics.

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Leonard Bereska, Efstratios Gavves (2022). Continual Learning of Dynamical Systems With Competitive Multi-Head Reservoirs. Conference on Lifelong Learning Agents.

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Phillip Lippe, Sara Magliacane, Sindy Löwe, Yuki M. Asano, Taco Cohen, Efstratios Gavves (2022). CITRIS: Causal Identifiability from Temporal Intervened Sequences. International Conference on Machine Learning.

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Zenglin Shi, Yunlu Chen, Efstratios Gavves, Pascal Mettes, Cees Snoek (2021). Unsharp Mask Guided Filtering. IEEE Transactions on Image Processing.

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Lucas de Vries, Bart Emmer, Charles Majoie, Henk Marquering, Efstratios Gavves (2021). Transformers for Ischemic Stroke Infarct Core Seentation from Spatio-temporal CT Perfusion Scans. Medical Imaging in Deep Learning.

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Deepak K Gupta, Efstratios Gavves, Arnold Smeulders (2021). Tackling occlusion in Siamese tracking with structured dropouts. International Conference on Pattern Recognition.

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Adeel Pervez, Efstratios Gavves (2021). Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders. International Conference on Machine Learning.

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Andreas Panteli, Jonas Teuwen, Hugo Horlings, Efstratios Gavves (2021). Sparse-Shot Learning for Extremely Many Localisations. IEEE International Conference on Computer Vision.

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Mert Kilickaya, Noureldien Hussein, Efstratios Gavves, Arnold Smeulders (2021). Self-selective context for interaction recognition. International Conference on Pattern Recognition.

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Miltiadis Kofinas, Naveen Shankar Nagaraja, Efstratios Gavves (2021). Roto-translated Local Coordinate Frames For Interacting Dynamical Systems. Neural Information Processing Systems.

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Deepak K Gupta, Devanshu Arya, Efstratios Gavves (2021). Rotation Equivariant Siamese Networks for Tracking. IEEE Conference on Computer Vision and Pattern Recognition.

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Shuai Liao, Efstratios Gavves, ChangYong Oh, Cees Snoek (2021). Quasibinary Classifier for Images with Zero and Multiple Labels. International Conference on Pattern Recognition.

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Yunlu Chen, Basura Fernando, Hakan Bilen, Thomas Mensink, Efstratios Gavves (2021). Neural Feature Matching in Implicit 3D Representations. International Conference on Machine Learning.

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F Dal Canton, M van Seijen, E Groen, H Horlings, E Lips, E Gavves, J Teuwen, J Wesseling (2021). Multiple-instance learning for assessing prognosis of ductal carcinoma in situ. European Congress on Pathology.

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Efstratios Gavves, Ran Tao, Deepak K Gupta, Arnold Smeulders (2021). Model decay in long-term tracking. International Conference on Pattern Recognition.

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ChangYong Oh, Efstratios Gavves, Max Welling (2021). Mixed Variable Bayesian Optimization with Frequency Modulated Kernels. Association for Uncertainty in Artificial Intelligence.

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Matthias Reisser, Christos Louizos, Efstratios Gavves, Max Welling (2021). Federated mixture of experts. arXiv preprint arXiv:2107.06724.

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Phillip Lippe, Taco Cohen, Efstratios Gavves (2021). Efficient Neural Causal Discovery without Acyclicity Constraints. arXiv preprint arXiv:2107.10483.

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Yoni Schirris, Efstratios Gavves, Iris Nederlof, Hugo Mark Horlings, Jonas Teuwen (2021). DeepSMILE: Self-supervised heterogeneity-aware multiple instance learning for DNA damage response defect classification directly from H&E whole-slide images. arXiv preprint arXiv:2107.09405.

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ChangYong Oh, Roberto Bondesan, Efstratios Gavves, Max Welling (2021). Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. arXiv preprint arXiv:2102.13382.

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Riaan Zoetmulder, Praneeta R Konduri, Iris V Obdeijn, Efstratios Gavves, Ivana Išgum, Charles BLM Majoie, Diederik WJ Dippel, Yvo BWEM Roos, Mayank Goyal, Peter J Mitchell, others (2021). Automated final lesion seentation in posterior circulation acute ischemic stroke using deep learning. Diagnostics.

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Adeel Pervez, Efstratios Gavves (2020). Variance Reduction in Hierarchical Variational Autoencoders. International Conference on Machine Learning.

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Andreas Panteli, Deepak K Gupta, Nathan Bruijn, Efstratios Gavves (2020). Siamese tracking of cell behaviour patterns. Medical Imaging in Deep Learning.

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Yunlu Chen, Vincent Tao Hu, Efstratios Gavves, Thomas Mensink, Pascal Mettes, Pengwan Yang, Cees Snoek (2020). Pointmixup: Auentation for point clouds. European Conference on Computer Vision.

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Noureldien Hussein, Efstratios Gavves, Arnold Smeulders (2020). Pic: Permutation invariant convolution for recognizing long-range activities. arXiv preprint arXiv:2003.08275.

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Adeel Pervez, Taco Cohen, Efstratios Gavves (2020). Low Bias Low Variance Gradient Estimates for Hierarchical Boolean Stochastic Networks. International Conference on Machine Learning.

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Phillip Lippe, Efstratios Gavves (2020). Categorical normalizing flows via continuous transformations. International Conference on Learning Representations.

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Rutger R van de Leur, Lennart J Blom, Efstratios Gavves, Irene E Hof, Jeroen F van der Heijden, Nick C Clappers, Pieter A Doevendans, Rutger J Hassink, René van Es (2020). Automatic triage of 12-lead ECGs using deep convolutional neural networks. Journal of the American Heart Association.

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Noureldien Hussein, Efstratios Gavves, Arnold Smeulders (2019). Videograph: Recognizing minutes-long human activities in videos. arXiv preprint arXiv:1905.05143.

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Peter O'Connor, Efstratios Gavves, Max Welling (2019). Training a spiking neural network with equilibrium propagation. International Conference on Artificial Intelligence and Statistics.

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Noureldien Hussein, Efstratios Gavves, Arnold Smeulders (2019). Timeception for complex action recognition. IEEE Conference on Computer Vision and Pattern Recognition.

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Matej Kristan, Jiri Matas, Ales Leonardis, Michael Felsberg, Roman Pflugfelder, Joni-Kristian Kamarainen, Luka ˇCehovin Zajc, Ondrej Drbohlav, Alan Lukezic, Amanda Berg, others (2019). The seventh visual object tracking vot2019 challenge results. Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops.

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Shuai Liao, Efstratios Gavves, Cees Snoek (2019). Spherical regression: Learning viewpoints, surface normals and 3d rotations on n-spheres. IEEE Conference on Computer Vision and Pattern Recognition.

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Tessa van der Heiden, Naveen Shankar Nagaraja, Christian Weiss, Efstratios Gavves (2019). SafeCritic: Collision-aware trajectory prediction. arXiv preprint arXiv:1910.06673.

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Peter O'Connor, Efstratios Gavves, Max Welling (2019). Initialized Equilibrium Propagation for Backprop-Free Training. International Conference on Learning Representations.

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Tim R Davidson, Jakub M Tomczak, Efstratios Gavves (2019). Increasing Expressivity of a Hyperspherical VAE. arXiv preprint arXiv:1910.02912.

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Laurens Samson, Nanne van Noord, Olaf Booij, Michael Hofmann, Efstratios Gavves, Mohsen Ghafoorian (2019). I bet you are wrong: Gambling adversarial networks for structured semantic seentation. International Conference on Computer Vision Workshops.

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ChangYong Oh, Jakub M Tomczak, Efstratios Gavves, Max Welling (2019). Combinatorial bayesian optimization using the graph cartesian product. Neural Information Processing Systems.

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Yunlu Chen, Thomas Mensink, Efstratios Gavves (2019). 3d neighborhood convolution: Learning depth-aware features for rgb-d and rgb semantic seentation. International Conference on 3D Vision.

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Zhenyang Li, Kirill Gavrilyuk, Efstratios Gavves, Mihir Jain, Cees Snoek (2018). Videolstm convolves, attends and flows for action recognition. Computer Vision and Image Understanding.

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Amir Ghodrati, Efstratios Gavves, Cees Snoek (2018). Video Time: Properties, Encoders and Evaluation. British Machine Vision Conference.

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Peter O'Connor, Efstratios Gavves, Max Welling (2018). Training a network of spiking neurons with equilibrium propagation. International Conference on Artificial Intelligence and Statistics.

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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman Pflugfelder, Luka ˇCehovin Zajc, Tomas Vojir, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, others (2018). The sixth visual object tracking vot2018 challenge results. IEEE/CVF Proceedings of the European Conference on Computer Vision Workshops.

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Shuai Liao, Efstratios Gavves, Cees Snoek (2018). Searching and Matching Texture-free 3D Shapes in Images. ACM International Conference on Multimedia Retrieval.

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Christos Louizos, Matthias Reisser, Tijmen Blankevoort, Efstratios Gavves, Max Welling (2018). Relaxed quantization for discretized neural networks. International Conference on Learning Representations.

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Jack Valmadre, Luca Bertinetto, Joao F Henriques, Ran Tao, Andrea Vedaldi, Arnold Smeulders, Philip HS Torr, Efstratios Gavves (2018). Long-term tracking in the wild: A benchmark. European Conference on Computer Vision.

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Thijs Scheepers, Evangelos Kanoulas, Efstratios Gavves (2018). Improving word embedding compositionality using lexicographic definitions. World Wide Web Conference.

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Sindi Shkodrani, Michael Hofmann, Efstratios Gavves (2018). Dynamic Adaptation on Non-Stationary Visual Domains. European Conference on Computer Vision, Workshop in Transferring and Adapting Source Knowledge in Computer Vision and VISDA Challenge.

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ChangYong Oh, Efstratios Gavves, Max Welling (2018). BOCK: Bayesian Optimization with Cylindrical Kernels. International Conference on Machine Learning.

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Cees Snoek, Xirong Li, Chaoxi Xu, Dennis C Koelma (2017). University of Amsterdam and Renmin University at TRECVID 2017: Searching Video, Detecting Events and Describing Video.. TRECVID.

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Noureldien Hussein, Efstratios Gavves, Arnold Smeulders (2017). Unified embedding and metric learning for zero-exemplar event detection. IEEE Conference on Computer Vision and Pattern Recognition.

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Ran Tao, Efstratios Gavves, Arnold Smeulders (2017). Tracking for half an hour. arXiv preprint arXiv:1711.10217.

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Zhenyang Li, Ran Tao, Efstratios Gavves, Cees Snoek, Arnold Smeulders (2017). Tracking by natural language specification. IEEE Conference on Computer Vision and Pattern Recognition.

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Peter O'Connor, Efstratios Gavves, Max Welling (2017). Temporally Efficient Deep Learning with Spikes. International Conference on Learning Representations.

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Basura Fernando, Hakan Bilen, Efstratios Gavves, Stephen Gould, others (2017). Self-Supervised Video Representation Learning With Odd-One-Out Networks. IEEE Conference on Computer Vision and Pattern Recognition.

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Stamatios Georgoulis, Konstantinos Rematas, Tobias Ritschel, Efstratios Gavves, Mario Fritz, Luc Van Gool, Tinne Tuytelaars (2017). Reflectance and natural illumination from single-material specular objects using deep learning. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi (2017). Action recognition with dynamic image networks. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Ran Tao, Efstratios Gavves, Arnold Smeulders (2016). Siamese instance search for tracking. IEEE Conference on Computer Vision and Pattern Recognition.

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Basura Fernando, Efstratios Gavves, José Oramas, Amir Ghodrati, Tinne Tuytelaars (2016). Rank pooling for action recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence.

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Roeland De Geest, Efstratios Gavves, Amir Ghodrati, Zhenyang Li, Cees Snoek, Tinne Tuytelaars (2016). Online action detection. European Conference on Computer Vision.

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Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould (2016). Dynamic image networks for action recognition. IEEE Conference on Computer Vision and Pattern Recognition.

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Konstantinos Rematas, Tobias Ritschel, Mario Fritz, Efstratios Gavves, Tinne Tuytelaars (2016). Deep reflectance maps. IEEE Conference on Computer Vision and Pattern Recognition.

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Tjalling Haije, Bachelor Opleiding Kunstmatige Intelligentie, E Gavves, H Heuer (2016). Automatic comment generation using a neural translation model. Inf. Softw. Technol.

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Basura Fernando, Efstratios Gavves, Jose M Oramas, Amir Ghodrati, Tinne Tuytelaars (2015). Modeling video evolution for action recognition. IEEE Conference on Computer Vision and Pattern Recognition.

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Efstratios Gavves, Basura Fernando, Cees Snoek, Arnold Smeulders, Tinne Tuytelaars (2015). Local alignments for fine-grained categorization. International Journal of Computer Vision.

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Basura Fernando, Efstratios Gavves, Damien Muselet, Tinne Tuytelaars (2015). Learning to rank based on subsequences. IEEE International Conference on Computer Vision.

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Xu Jia, Efstratios Gavves, Basura Fernando, Tinne Tuytelaars (2015). Guiding the long-short term memory model for image caption generation. IEEE International Conference on Computer Vision.

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Efstratios Gavves, Thomas Mensink, Tatiana Tommasi, Cees Snoek, Tinne Tuytelaars (2015). Active transfer learning with zero-shot priors: Reusing past datasets for future tasks. IEEE International Conference on Computer Vision.

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Ran Tao, Efstratios Gavves, Cees Snoek, Arnold Smeulders (2014). Locality in generic instance search from one example. IEEE Conference on Computer Vision and Pattern Recognition.

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Thomas Mensink, Efstratios Gavves, Cees Snoek (2014). Costa: Co-occurrence statistics for zero-shot classification. IEEE Conference on Computer Vision and Pattern Recognition.

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Masoud Mazloom, Efstratios Gavves, Cees Snoek (2014). Conceptlets: Selective semantics for classifying video events. IEEE Transactions on Multimedia.

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Zhenyang Li, Efstratios Gavves, Thomas Mensink, Cees Snoek (2014). Attributes make sense on seented objects. European Conference on Computer Vision.

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Masoud Mazloom, Efstratios Gavves, Koen van de Sande, Cees Snoek (2013). Searching informative concept banks for video event detection. ACM International Conference on Multimedia Retrieval.

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Efstratios Gavves, Basura Fernando, Cees Snoek, Arnold Smeulders, Tinne Tuytelaars (2013). Fine-grained categorization by alignments. IEEE International Conference on Computer Vision.

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Zhenyang Li, Efstratios Gavves, Koen EA van de Sande, Cees Snoek, Arnold Smeulders (2013). Codemaps-seent, classify and search objects locally. IEEE International Conference on Computer Vision.

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Efstratios Gavves, Cees Snoek, Arnold Smeulders (2012). Visual synonyms for landmark image retrieval. Computer Vision and Image Understanding.

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Efstratios Gavves, Cees Snoek, Arnold Smeulders (2012). Convex reduction of high-dimensional kernels for visual classification. IEEE Conference on Computer Vision and Pattern Recognition.

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Xirong Li, Efstratios Gavves, Cees Snoek, Marcel Worring, Arnold Smeulders (2011). Personalizing automated image annotation using cross-entropy. ACM International Conference on Multimedia.

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Cees Snoek, Kvd Sande, OD Rooij, Bouke Huurnink, Efstratios Gavves, Daan Odijk, M Rijke, Theo Gevers, Marcel Worring, D Koelma, others (2010). The MediaMill TRECVID 2010 semantic video search engine. TRECVID workshop.

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Efstratios Gavves, Cees G.M. Snoek (2010). Landmark image retrieval using visual synonyms. ACM International Conference on Multimedia.

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