Landmark image retrieval using visual synonyms. - Efstratios Gavves; Cees G. M. Snoek (ACM Multimedia, 2010)

The MediaMill TRECVID 2010 Semantic Video Search Engine. - Cees Snoek; Koen E. A. van de Sande; Ork de Rooij; Bouke Huurnink; Efstratios Gavves; Daan Odijk; Maarten de Rijke; Theo Gevers; Marcel Worring; Dennis C. Koelma; Arnold W. M. Smeulders (TRECVID, 2010)

Personalizing automated image annotation using cross-entropy. - Xirong Li 001; Efstratios Gavves; Cees G. M. Snoek; Marcel Worring; Arnold W. M. Smeulders (ACM Multimedia, 2011)

Convex reduction of high-dimensional kernels for visual classification. - Efstratios Gavves; Cees G. M. Snoek; Arnold W. M. Smeulders (CVPR, 2012)

Visual synonyms for landmark image retrieval. - Efstratios Gavves; Cees G. M. Snoek; Arnold W. M. Smeulders (Comput. Vis. Image Underst., 2012)

Fine-Grained Categorization by Alignments. - Efstratios Gavves; Basura Fernando; Cees G. M. Snoek; Arnold W. M. Smeulders; Tinne Tuytelaars (ICCV, 2013)

Codemaps - Segment, Classify and Search Objects Locally. - Zhenyang Li; Efstratios Gavves; Koen E. A. van de Sande; Cees G. M. Snoek; Arnold W. M. Smeulders (ICCV, 2013)

Searching informative concept banks for video event detection. - Masoud Mazloom; Efstratios Gavves; Koen E. A. van de Sande; Cees Snoek (ICMR, 2013)

COSTA: Co-Occurrence Statistics for Zero-Shot Classification. - Thomas Mensink; Efstratios Gavves; Cees G. M. Snoek (CVPR, 2014)

Locality in Generic Instance Search from One Example. - Ran Tao 004; Efstratios Gavves; Cees G. M. Snoek; Arnold W. M. Smeulders (CVPR, 2014)

Attributes Make Sense on Segmented Objects. - Zhenyang Li; Efstratios Gavves; Thomas Mensink; Cees G. M. Snoek (ECCV (6), 2014)

Conceptlets: Selective Semantics for Classifying Video Events. - Masoud Mazloom; Efstratios Gavves; Cees G. M. Snoek (IEEE Trans. Multim., 2014)

Modeling video evolution for action recognition. - Basura Fernando; Efstratios Gavves; José Oramas M.; Amir Ghodrati; Tinne Tuytelaars (CVPR, 2015)

Learning to Rank Based on Subsequences. - Basura Fernando; Efstratios Gavves; Damien Muselet; Tinne Tuytelaars (ICCV, 2015)

Active Transfer Learning with Zero-Shot Priors: Reusing Past Datasets for Future Tasks. - Efstratios Gavves; Thomas Mensink; Tatiana Tommasi; Cees G. M. Snoek; Tinne Tuytelaars (ICCV, 2015)

Guiding the Long-Short Term Memory Model for Image Caption Generation. - Xu Jia 012; Efstratios Gavves; Basura Fernando; Tinne Tuytelaars (ICCV, 2015)

MidRank: Learning to rank based on subsequences. - Basura Fernando; Efstratios Gavves; Damien Muselet; Tinne Tuytelaars (CoRR, 2015)

Guiding Long-Short Term Memory for Image Caption Generation. - Xu Jia 012; Efstratios Gavves; Basura Fernando; Tinne Tuytelaars (CoRR, 2015)

Local Alignments for Fine-Grained Categorization. - Efstratios Gavves; Basura Fernando; Cees G. M. Snoek; Arnold W. M. Smeulders; Tinne Tuytelaars (Int. J. Comput. Vis., 2015)

Dynamic Image Networks for Action Recognition. - Hakan Bilen; Basura Fernando; Efstratios Gavves; Andrea Vedaldi; Stephen Gould (CVPR, 2016)

Deep Reflectance Maps. - Konstantinos Rematas; Tobias Ritschel 001; Mario Fritz; Efstratios Gavves; Tinne Tuytelaars (CVPR, 2016)

Siamese Instance Search for Tracking. - Ran Tao 004; Efstratios Gavves; Arnold W. M. Smeulders (CVPR, 2016)

Online Action Detection. - Roeland De Geest; Efstratios Gavves; Amir Ghodrati; Zhenyang Li; Cees Snoek; Tinne Tuytelaars (ECCV (5), 2016)

A Novel Perspective of Image Search for Tracking and Actions. - Efstratios Gavves (MADiMa @ ACM Multimedia, 2016)

University of Amsterdam and Renmin University at TRECVID 2016: Searching Video, Detecting Events and Describing Video. - Cees G. M. Snoek; Jianfeng Dong; Xirong Li 001; Xiaoxu Wang; Qijie Wei; Weiyu Lan; Efstratios Gavves; Noureldien Hussein; Dennis C. Koelma; Arnold W. M. Smeulders (TRECVID, 2016)

VideoLSTM Convolves, Attends and Flows for Action Recognition. - Zhenyang Li; Efstratios Gavves; Mihir Jain; Cees G. M. Snoek (CoRR, 2016)

Self-Supervised Video Representation Learning with Odd-One-Out Networks. - Basura Fernando; Hakan Bilen; Efstratios Gavves; Stephen Gould (CVPR, 2017)

Unified Embedding and Metric Learning for Zero-Exemplar Event Detection. - Noureldien Hussein; Efstratios Gavves; Arnold W. M. Smeulders (CVPR, 2017)

Tracking by Natural Language Specification. - Zhenyang Li; Ran Tao 004; Efstratios Gavves; Cees G. M. Snoek; Arnold W. M. Smeulders (CVPR, 2017)

Temporally Efficient Deep Learning with Spikes. - Peter O'Connor; Efstratios Gavves; Max Welling (CoRR, 2017)

Tracking for Half an Hour. - Ran Tao 004; Efstratios Gavves; Arnold W. M. Smeulders (CoRR, 2017)

Examining Cooperation in Visual Dialog Models. - Mircea Mironenco; Dana Kianfar; Ke M. Tran; Evangelos Kanoulas; Efstratios Gavves (CoRR, 2017)

Rank Pooling for Action Recognition. - Basura Fernando; Efstratios Gavves; José Oramas Mogrovejo; Amir Ghodrati; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Video Time: Properties, Encoders and Evaluation. - Amir Ghodrati; Efstratios Gavves; Cees Snoek (BMVC, 2018)

The Sixth Visual Object Tracking VOT2018 Challenge Results. - Matej Kristan; Ales Leonardis; Jiri Matas; Michael Felsberg; Roman P. Pflugfelder; Luka Cehovin Zajc; Tomás Vojír; Goutam Bhat; Alan Lukezic; Abdelrahman Eldesokey; Gustavo Fernández; Álvaro García-Martín; et al. (ECCV Workshops (1), 2018)

Dynamic Adaptation on Non-stationary Visual Domains. - Sindi Shkodrani; Michael Hofmann 009; Efstratios Gavves (ECCV Workshops (2), 2018)

Long-Term Tracking in the Wild: A Benchmark. - Jack Valmadre; Luca Bertinetto; João F. Henriques; Ran Tao 004; Andrea Vedaldi; Arnold W. M. Smeulders; Philip H. S. Torr; Efstratios Gavves (ECCV (3), 2018)

Temporally Efficient Deep Learning with Spikes. - Peter O'Connor; Efstratios Gavves; Matthias Reisser; Max Welling (ICLR (Poster), 2018)

BOCK : Bayesian Optimization with Cylindrical Kernels. - ChangYong Oh; Efstratios Gavves; Max Welling (ICML, 2018)

Searching and Matching Texture-free 3D Shapes in Images. - Shuai Liao; Efstratios Gavves; Cees G. M. Snoek (ICMR, 2018)

Improving Word Embedding Compositionality using Lexicographic Definitions. - Thijs Scheepers; Evangelos Kanoulas; Efstratios Gavves (WWW, 2018)

VideoLSTM convolves, attends and flows for action recognition. - Zhenyang Li; Kirill Gavrilyuk; Efstratios Gavves; Mihir Jain; Cees G. M. Snoek (Comput. Vis. Image Underst., 2018)

Action Recognition with Dynamic Image Networks. - Hakan Bilen; Basura Fernando; Efstratios Gavves; Andrea Vedaldi (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Reflectance and Natural Illumination from Single-Material Specular Objects Using Deep Learning. - Stamatios Georgoulis; Konstantinos Rematas; Tobias Ritschel 001; Efstratios Gavves; Mario Fritz; Luc Van Gool; Tinne Tuytelaars (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

3D Neighborhood Convolution: Learning Depth-Aware Features for RGB-D and RGB Semantic Segmentation. - Yunlu Chen; Thomas Mensink; Efstratios Gavves (3DV, 2019)

Training a Spiking Neural Network with Equilibrium Propagation. - Peter O'Connor; Efstratios Gavves; Max Welling (AISTATS, 2019)

Timeception for Complex Action Recognition. - Noureldien Hussein; Efstratios Gavves; Arnold W. M. Smeulders (CVPR, 2019)

Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres. - Shuai Liao; Efstratios Gavves; Cees G. M. Snoek (CVPR, 2019)

The Seventh Visual Object Tracking VOT2019 Challenge Results. - Matej Kristan; Amanda Berg; Linyu Zheng; Litu Rout; Luc Van Gool; Luca Bertinetto; Martin Danelljan; Matteo Dunnhofer; Meng Ni; Min Young Kim 003; Ming Tang 001; Ming-Hsuan Yang 001; et al. (ICCV Workshops, 2019)

I Bet You Are Wrong: Gambling Adversarial Networks for Structured Semantic Segmentation. - Laurens Samson; Nanne van Noord; Olaf Booij; Michael Hofmann 009; Efstratios Gavves; Mohsen Ghafoorian (ICCV Workshops, 2019)

Relaxed Quantization for Discretized Neural Networks. - Christos Louizos; Matthias Reisser; Tijmen Blankevoort; Efstratios Gavves; Max Welling (ICLR (Poster), 2019)

Initialized Equilibrium Propagation for Backprop-Free Training. - Peter O'Connor; Efstratios Gavves; Max Welling (ICLR (Poster), 2019)

Combinatorial Bayesian Optimization using the Graph Cartesian Product. - ChangYong Oh; Jakub M. Tomczak; Efstratios Gavves; Max Welling (NeurIPS, 2019)

Combinatorial Bayesian Optimization using Graph Representations. - ChangYong Oh; Jakub M. Tomczak; Efstratios Gavves; Max Welling (CoRR, 2019)

VideoGraph: Recognizing Minutes-Long Human Activities in Videos. - Noureldien Hussein; Efstratios Gavves; Arnold W. M. Smeulders (CoRR, 2019)

Increasing Expressivity of a Hyperspherical VAE. - Tim R. Davidson; Jakub M. Tomczak; Efstratios Gavves (CoRR, 2019)

SafeCritic: Collision-Aware Trajectory Prediction. - Tessa van der Heiden; Naveen Shankar Nagaraja; Christian Weiss; Efstratios Gavves (CoRR, 2019)

Tracking-Assisted Segmentation of Biological Cells. - Deepak K. Gupta; Nathan de Bruijn; Andreas Panteli; Efstratios Gavves (CoRR, 2019)

PointMixup: Augmentation for Point Clouds. - Yunlu Chen; Vincent Tao Hu; Efstratios Gavves; Thomas Mensink; Pascal Mettes; Pengwan Yang; Cees G. M. Snoek (ECCV (3), 2020)

Low Bias Low Variance Gradient Estimates for Boolean Stochastic Networks. - Adeel Pervez; Taco Cohen; Efstratios Gavves (ICML, 2020)

Model Decay in Long-Term Tracking. - Efstratios Gavves; Ran Tao 004; Deepak K. Gupta; Arnold W. M. Smeulders (ICPR, 2020)

Tackling Occlusion in Siamese Tracking with Structured Dropouts. - Deepak K. Gupta; Efstratios Gavves; Arnold W. M. Smeulders (ICPR, 2020)

Self-Selective Context for Interaction Recognition. - Mert Kilickaya; Noureldien Hussein; Efstratios Gavves; Arnold W. M. Smeulders (ICPR, 2020)

Quasibinary Classifier for Images with Zero and Multiple Labels. - Shuai Liao; Efstratios Gavves; ChangYong Oh; Cees G. M. Snoek (ICPR, 2020)

Siamese Tracking of Cell Behaviour Patterns. - Andreas Panteli; Deepak K. Gupta; Nathan de Bruijn; Efstratios Gavves (MIDL, 2020)

PIC: Permutation Invariant Convolution for Recognizing Long-range Activities. - Noureldien Hussein; Efstratios Gavves; Arnold W. M. Smeulders (CoRR, 2020)

Siamese Tracking with Lingual Object Constraints. - Maximilian Filtenborg; Efstratios Gavves; Deepak Gupta (CoRR, 2020)

Robust Multi-Agent Reinforcement Learning with Social Empowerment for Coordination and Communication. - Tessa van der Heiden; Christoph Salge; Efstratios Gavves; Herke van Hoof (CoRR, 2020)

Rotation Equivariant Siamese Networks for Tracking. - Deepak K. Gupta; Devanshu Arya; Efstratios Gavves (CVPR, 2021)

Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. - Andreas Panteli; Jonas Teuwen; Hugo M. Horlings; Efstratios Gavves (ICCV, 2021)

Categorical Normalizing Flows via Continuous Transformations. - Phillip Lippe; Efstratios Gavves (ICLR, 2021)

Neural Feature Matching in Implicit 3D Representations. - Yunlu Chen; Basura Fernando; Hakan Bilen; Thomas Mensink; Efstratios Gavves (ICML, 2021)

Spectral Smoothing Unveils Phase Transitions in Hierarchical Variational Autoencoders. - Adeel Pervez; Efstratios Gavves (ICML, 2021)

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

Mixed variable Bayesian optimization with frequency modulated kernels. - ChangYong Oh; Efstratios Gavves; Max Welling (UAI, 2021)

Batch Bayesian Optimization on Permutations using Acquisition Weighted Kernels. - ChangYong Oh; Roberto Bondesan; Efstratios Gavves; Max Welling (CoRR, 2021)

Sparse-Shot Learning for Extremely Many Localisations. - Andreas Panteli; Jonas Teuwen; Hugo M. Horlings; Efstratios Gavves (CoRR, 2021)

Federated Mixture of Experts. - Matthias Reisser; Christos Louizos; Efstratios Gavves; Max Welling (CoRR, 2021)

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

Unsharp Mask Guided Filtering. - Zenglin Shi; Yunlu Chen; Efstratios Gavves; Pascal Mettes; Cees G. M. Snoek (IEEE Trans. Image Process., 2021)

3D Charged Particles Dataset - Roto-translated Local Coordinate Frames for Interacting Dynamical Systems. - Miltiadis Kofinas; Naveen Shankar Nagaraja; Efstratios Gavves (Zenodo, 2021)

Few-shot Semantic Segmentation with Support-induced Graph Convolutional Network. - Jie Liu 043; Yanqi Bao; Wenzhe Yin; Haochen Wang; Yang Gao; Jan-Jakob Sonke; Efstratios Gavves (BMVC, 2022)

Continual Learning of Dynamical Systems With Competitive Federated Reservoir Computing. - Leonard Bereska; Efstratios Gavves (CoLLAs, 2022)

Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. - Jie Liu 043; Yanqi Bao; Guo-Sen Xie; Huan Xiong; Jan-Jakob Sonke; Efstratios Gavves (CVPR, 2022)

NFormer: Robust Person Re-identification with Neighbor Transformer. - Haochen Wang; Jiayi Shen; Yongtuo Liu; Yan Gao 017; Efstratios Gavves (CVPR, 2022)

3D Equivariant Graph Implicit Functions. - Yunlu Chen; Basura Fernando; Hakan Bilen; Matthias Nießner; Efstratios Gavves (ECCV (3), 2022)

Delta Distillation for Efficient Video Processing. - Amirhossein Habibian; Haitam Ben Yahia; Davide Abati; Efstratios Gavves; Fatih Porikli (ECCV (35), 2022)

Efficient Neural Causal Discovery without Acyclicity Constraints. - Phillip Lippe; Taco Cohen; Efstratios Gavves (ICLR, 2022)

Stability Regularization for Discrete Representation Learning. - Adeel Pervez; Efstratios Gavves (ICLR, 2022)

WeakSTIL: weak whole-slide image level stromal tumor infiltrating lymphocyte scores are all you need. - Yoni Schirris; Mendel Engelaer; Andreas Panteli; Hugo Mark Horlings; Efstratios Gavves; Jonas Teuwen (Digital and Computational Pathology, 2022)

Tumor tracking in 4D CT images for adaptive radiotherapy. - Pieter Kronemeijer; Efstratios Gavves; Jan-Jakob Sonke; Jonas Teuwen (Image Processing, 2022)

Dynamic Transformer for Few-shot Instance Segmentation. - Haochen Wang; Jie Liu 043; Yongtuo Liu; Subhransu Maji; Jan-Jakob Sonke; Efstratios Gavves (ACM Multimedia, 2022)

Batch Bayesian Optimization on Permutations using the Acquisition Weighted Kernel. - ChangYong Oh; Roberto Bondesan; Efstratios Gavves; Max Welling (NeurIPS, 2022)

Domain- and task-specific transfer learning for medical segmentation tasks. - Riaan Zoetmulder; Efstratios Gavves; Matthan W. A. Caan; Henk A. Marquering (Comput. Methods Programs Biomed., 2022)

CITRIS: Causal Identifiability from Temporal Intervened Sequences. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves (CoRR, 2022)

Reliably Re-Acting to Partner's Actions with the Social Intrinsic Motivation of Transfer Empowerment. - Tessa van der Heiden; Herke van Hoof; Efstratios Gavves; Christoph Salge (CoRR, 2022)

Fake It Till You Make It: Near-Distribution Novelty Detection by Score-Based Generative Models. - Hossein Mirzaei; Mohammadreza Salehi; Sajjad Shahabi; Efstratios Gavves; Cees G. M. Snoek; Mohammad Sabokrou; Mohammad Hossein Rohban (CoRR, 2022)

Towards a General Purpose CNN for Long Range Dependencies in ND. - David W. Romero; David M. Knigge; Albert Gu; Erik J. Bekkers; Efstratios Gavves; Jakub M. Tomczak; Mark Hoogendoorn (CoRR, 2022)

iCITRIS: Causal Representation Learning for Instantaneous Temporal Effects. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves (CoRR, 2022)

DeepSMILE: Contrastive self-supervised pre-training benefits MSI and HRD classification directly from H&E whole-slide images in colorectal and breast cancer. - Yoni Schirris; Efstratios Gavves; Iris Nederlof; Hugo Mark Horlings; Jonas Teuwen (Medical Image Anal., 2022)

Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. - Mohammadreza Salehi; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ICCV, 2023)

Towards Open-Vocabulary Video Instance Segmentation. - Haochen Wang; Xiaolong Jiang; Xu Tang; Yao Hu 002; Cilin Yan; Weidi Xie; Shuai Wang 054; Efstratios Gavves (ICCV, 2023)

Memory-augmented Variational Adaptation for Online Few-shot Segmentation. - Jie Liu 043; Yingjun Du; Zehao Xiao; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves (ICCV (Workshops), 2023)

Parameter-free Neural Field-based Optimal Design of Nonuniform Transmission Lines. - Philipp Gérard Tréemuel; Efstratios Gavves; Christoph Würsch; Klaus Frick; Robin Vetsch (ICECS, 2023)

Modelling Long Range Dependencies in $N$D: From Task-Specific to a General Purpose CNN. - David M. Knigge; David W. Romero; Albert Gu; Efstratios Gavves; Erik J. Bekkers; Jakub Mikolaj Tomczak; Mark Hoogendoorn; Jan-Jakob Sonke (ICLR, 2023)

Causal Representation Learning for Instantaneous and Temporal Effects in Interactive Systems. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves (ICLR, 2023)

Fake It Until You Make It : Towards Accurate Near-Distribution Novelty Detection. - Hossein Mirzaei; Mohammadreza Salehi; Sajjad Shahabi; Efstratios Gavves; Cees G. M. Snoek; Mohammad Sabokrou; Mohammad Hossein Rohban (ICLR, 2023)

Differentiable Mathematical Programming for Object-Centric Representation Learning. - Adeel Pervez; Phillip Lippe; Efstratios Gavves (ICLR, 2023)

Scalable Subset Sampling with Neural Conditional Poisson Networks. - Adeel Pervez; Phillip Lippe; Efstratios Gavves (ICLR, 2023)

Graph Switching Dynamical Systems. - Yongtuo Liu; Sara Magliacane; Miltiadis Kofinas; Efstratios Gavves (ICML, 2023)

Noise2Aliasing: Unsupervised Deep Learning for View Aliasing and Noise Reduction in 4DCBCT. - Samuele Papa; Efstratios Gavves; Jan-Jakob Sonke (MICCAI (10), 2023)

Modulated Neural ODEs. - Ilze Amanda Auzina; Çagatay Yildiz; Sara Magliacane; Matthias Bethge; Efstratios Gavves (NeurIPS, 2023)

Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. - Miltiadis Kofinas; Erik J. Bekkers; Naveen Shankar Nagaraja; Efstratios Gavves (NeurIPS, 2023)

Learning Lie Group Symmetry Transformations with Neural Networks. - Alex Gabel; Victoria Klein; Riccardo Valperga; Jeroen S. W. Lamb; Kevin Webster; Rick Quax; Efstratios Gavves (TAG-ML, 2023)

BISCUIT: Causal Representation Learning from Binary Interactions. - Phillip Lippe; Sara Magliacane; Sindy Löwe; Yuki M. Asano; Taco Cohen; Efstratios Gavves (UAI, 2023)

Invariant Neural Ordinary Differential Equations. - Ilze Amanda Auzina; Çagatay Yildiz; Sara Magliacane; Matthias Bethge; Efstratios Gavves (CoRR, 2023)

PiClick: Picking the desired mask in click-based interactive segmentation. - Cilin Yan; Haochen Wang; Jie Liu 043; Xiaolong Jiang; Yao Hu 002; Xu Tang; Guoliang Kang; Efstratios Gavves (CoRR, 2023)

Neural Modulation Fields for Conditional Cone Beam Neural Tomography. - Samuele Papa; David M. Knigge; Riccardo Valperga; Nikita Moriakov; Miltos Kofinas; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2023)

Data Augmentations in Deep Weight Spaces. - Aviv Shamsian; David W. Zhang; Aviv Navon; Yan Zhang; Miltiadis Kofinas; Idan Achituve; Riccardo Valperga; Gertjan J. Burghouts; Efstratios Gavves; Cees G. M. Snoek; Ethan Fetaya; Gal Chechik; et al. (CoRR, 2023)

Motion Flow Matching for Human Motion Synthesis and Editing. - Vincent Tao Hu; Wenzhe Yin; Pingchuan Ma 006; Yunlu Chen; Basura Fernando; Yuki M. Asano; Efstratios Gavves; Pascal Mettes; Björn Ommer; Cees G. M. Snoek (CoRR, 2023)

PerfU-Net: Baseline infarct estimation from CT perfusion source data for acute ischemic stroke. - Lucas de Vries; Bart J. Emmer; Charles B. L. M. Majoie; Henk A. Marquering; Efstratios Gavves (Medical Image Anal., 2023)

Electrostatic field dataset - Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. - Miltiadis Kofinas; Erik Johannes Bekkers; Naveen Shankar Nagaraja; Efstratios Gavves (Zenodo, 2023)

Dynamic gravitational field dataset - Latent Field Discovery in Interacting Dynamical Systems with Neural Fields. - Miltiadis Kofinas; Erik Johannes Bekkers; Naveen Shankar Nagaraja; Efstratios Gavves (Zenodo, 2023)

Spatio-temporal physics-informed learning: A novel approach to CT perfusion analysis in acute ischemic stroke. - Lucas de Vries; Rudolf L. M. van Herten; Jan W. Hoving; Ivana Isgum; Bart J. Emmer; Charles B. L. M. Majoie; Henk A. Marquering; Efstratios Gavves (Medical Image Anal., 2023)

PC-Reg: A pyramidal prediction-correction approach for large deformation image registration. - Wenzhe Yin; Jan-Jakob Sonke; Efstratios Gavves (Medical Image Anal., 2023)

Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation. - Jie Liu 043; Wenzhe Yin; Haochen Wang; Yunlu Chen; Jan-Jakob Sonke; Efstratios Gavves (3DV, 2024)

Redefining Normal: A Novel Object-Level Approach for Multi-object Novelty Detection. - Mohammadreza Salehi; Nikolaos Apostolikas; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ACCV (6), 2024)

How to Train Neural Field Representations: A Comprehensive Study and Benchmark. - Samuele Papa; Riccardo Valperga; David M. Knigge; Miltiadis Kofinas; Phillip Lippe; Jan-Jakob Sonke; Efstratios Gavves (CVPR, 2024)

Click Prompt Learning with Optimal Transport for Interactive Segmentation. - Jie Liu 043; Haochen Wang; Wenzhe Yin; Jan-Jakob Sonke; Efstratios Gavves (ECCV (33), 2024)

SIGMA: Sinkhorn-Guided Masked Video Modeling. - Mohammadreza Salehi; Michael Dorkenwald; Fida Mohammad Thoker; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ECCV (24), 2024)

GeneralAD: Anomaly Detection Across Domains by Attending to Distorted Features. - Luc P. J. Sträter; Mohammadreza Salehi; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (ECCV (37), 2024)

VISA: Reasoning Video Object Segmentation via Large Language Models. - Cilin Yan; Haochen Wang; Shilin Yan; Xiaolong Jiang; Yao Hu 002; Guoliang Kang; Weidi Xie; Efstratios Gavves (ECCV (15), 2024)

Vito: Vision Transformer Optimization Via Knowledge Distillation On Decoders. - Giovanni Bellitto; Renato Sortino; Paolo Spadaro; Simone Palazzo; Federica Proietto Salanitri; Giuseppe Fiameni; Efstratios Gavves; Concetto Spampinato (ICIP, 2024)

Graph Neural Networks for Learning Equivariant Representations of Neural Networks. - Miltiadis Kofinas; Boris Knyazev 001; Yan Zhang; Yunlu Chen; Gertjan J. Burghouts; Efstratios Gavves; Cees G. M. Snoek; David W. Zhang (ICLR, 2024)

Space-Time Continuous PDE Forecasting using Equivariant Neural Fields. - David M. Knigge; David R. Wessels; Riccardo Valperga; Samuele Papa; Jan-Jakob Sonke; Erik J. Bekkers; Efstratios Gavves (NeurIPS, 2024)

Domain Adaptation with Cauchy-Schwarz Divergence. - Wenzhe Yin; Shujian Yu; Yicong Lin; Jie Liu 043; Jan-Jakob Sonke; Efstratios Gavves (UAI, 2024)

Mechanistic Neural Networks for Scientific Machine Learning. - Adeel Pervez; Francesco Locatello; Efstratios Gavves (CoRR, 2024)

Mechanistic Interpretability for AI Safety - A Review. - Leonard Bereska; Efstratios Gavves (CoRR, 2024)

Self-supervised visual learning in the low-data regime: a comparative evaluation. - Sotirios Konstantakos; Despina Ioanna Chalkiadaki; Ioannis Mademlis; Yuki M. Asano; Efstratios Gavves; Georgios Th. Papadopoulos (CoRR, 2024)

Domain Adaptation with Cauchy-Schwarz Divergence. - Wenzhe Yin; Shujian Yu; Yicong Lin; Jie Li 001; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2024)

Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps. - Evgenii Egorov; Riccardo Valperga; Efstratios Gavves (CoRR, 2024)

Amortized Equation Discovery in Hybrid Dynamical Systems. - Yongtuo Liu; Sara Magliacane; Miltiadis Kofinas; Efstratios Gavves (CoRR, 2024)

Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning. - Cilin Yan; Haochen Wang; Xiaolong Jiang; Yao Hu 002; Xu Tang; Guoliang Kang; Efstratios Gavves (CoRR, 2024)

NARAIM: Native Aspect Ratio Autoregressive Image Models. - Daniel Gallo Fernández; Robert van der Klis; Razvan-Andrei Matisan; Janusz Partyka; Efstratios Gavves; Samuele Papa; Phillip Lippe (CoRR, 2024)

From MLP to NeoMLP: Leveraging Self-Attention for Neural Fields. - Miltiadis Kofinas; Samuele Papa; Efstratios Gavves (CoRR, 2024)

PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation. - Cilin Yan; Haochen Wang; Jie Liu 043; Xiaolong Jiang; Yao Hu 002; Xu Tang; Guoliang Kang; Efstratios Gavves (Neurocomputing, 2024)

Data-driven Lie point symmetry detection for continuous dynamical systems. - Alex Gabel; Rick Quax; Efstratios Gavves (Mach. Learn. Sci. Technol., 2024)

CNN Wild Park - Graph Neural Networks for Learning Equivariant Representations of Neural Networks. - Miltiadis Kofinas; Boris Knyazev 001; Yan Zhang; Yunlu Chen; Gertjan J. Burghouts; Efstratios Gavves; Cees Snoek; David W. Zhang (Zenodo, 2024)

OV-VIS: Open-Vocabulary Video Instance Segmentation. - Haochen Wang; Cilin Yan; Keyan Chen 002; Xiaolong Jiang; Xu Tang; Yao Hu 002; Guoliang Kang; Weidi Xie; Efstratios Gavves (Int. J. Comput. Vis., 2024)

CTRL-O: Language-Controllable Object-Centric Visual Representation Learning. - Aniket Didolkar; Andrii Zadaianchuk; Rabiul Awal; Maximilian Seitzer; Efstratios Gavves; Aishwarya Agrawal (CVPR, 2025)

Any-Resolution AI-Generated Image Detection by Spectral Learning. - Dimitrios Karageorgiou; Symeon Papadopoulos; Ioannis Kompatsiaris; Efstratios Gavves (CVPR, 2025)

LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty. - Christoforos N. Spartalis; Theodoros Semertzidis; Efstratios Gavves; Petros Daras (CVPR, 2025)

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination. - Leonardo Barcellona; Andrii Zadaianchuk; Davide Allegro; Samuele Papa; Stefano Ghidoni; Efstratios Gavves (ICLR, 2025)

Language Agents Meet Causality - Bridging LLMs and Causal World Models. - John Gkountouras; Matthias Lindemann; Phillip Lippe; Efstratios Gavves; Ivan Titov 001 (ICLR, 2025)

CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation. - Jie Liu 043; Pan Zhou; Yingjun Du; Ah-Hwee Tan; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves (ICLR, 2025)

Grounding Continuous Representations in Geometry: Equivariant Neural Fields. - David R. Wessels; David M. Knigge; Riccardo Valperga; Samuele Papa; Sharvaree P. Vadgama; Efstratios Gavves; Erik J. Bekkers (ICLR, 2025)

Self-supervised visual learning in the low-data regime: A comparative evaluation. - Sotirios Konstantakos; Jorgen Cani; Ioannis Mademlis; Despina Ioanna Chalkiadaki; Yuki M. Asano; Efstratios Gavves; Georgios Th. Papadopoulos (Neurocomputing, 2025)

ECTIL: Label-efficient Computational Tumour Infiltrating Lymphocyte (TIL) assessment in breast cancer: Multicentre validation in 2,340 patients with breast cancer. - Yoni Schirris; Rosie Voorthuis; Mark Opdam; Marte Liefaard; Gabe S. Sonke; Gwen Dackus; Vincent de Jong; Yuwei Wang; Annelot Van Rossum; Tessa G. Steenbruggen; Lars C. Steggink; Liesbeth G. E. de Vries; et al. (CoRR, 2025)

Geometric Neural Process Fields. - Wenzhe Yin; Zehao Xiao; Jiayi Shen; Yunlu Chen; Cees G. M. Snoek; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence. - Wenzhe Yin; Zehao Xiao; Pan Zhou; Shujian Yu; Jiayi Shen; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Mechanistic PDE Networks for Discovery of Governing Equations. - Adeel Pervez; Efstratios Gavves; Francesco Locatello (CoRR, 2025)

Morpheus: Benchmarking Physical Reasoning of Video Generative Models with Real Physical Experiments. - Chenyu Zhang; Daniil Cherniavskii; Andrii Zadaianchuk; Antonios Tragoudaras; Antonios Vozikis; Thijmen Nijdam; Derck W. E. Prinzhorn; Mark Bodracska; Nicu Sebe; Efstratios Gavves (CoRR, 2025)

Probabilistic Interactive 3D Segmentation with Hierarchical Neural Processes. - Jie Liu 043; Pan Zhou; Zehao Xiao; Jiayi Shen; Wenzhe Yin; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

MoSiC: Optimal-Transport Motion Trajectory for Dense Self-Supervised Learning. - Mohammadreza Salehi; Shashanka Venkataramanan; Ioana Simion; Efstratios Gavves; Cees G. M. Snoek; Yuki M. Asano (CoRR, 2025)

Physics-Guided Radiotherapy Treatment Planning with Deep Learning. - Stefanos Achlatis; Efstratios Gavves; Jan-Jakob Sonke (CoRR, 2025)

Probabilistic Prototype Calibration of Vision-Language Models for Generalized Few-shot Semantic Segmentation. - Jie Liu 043; Jiayi Shen; Pan Zhou; Jan-Jakob Sonke; Efstratios Gavves (CoRR, 2025)

Dual Guidance Semi-Supervised Action Detection. - Ankit Singh; Efstratios Gavves; Cees G. M. Snoek; Hilde Kuehne (CoRR, 2025)