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Efstratios Gavves
Efstratios Gavves
Associate Professor at University of Amsterdam
Verified email at uva.nl - Homepage
Title
Cited by
Year
PiClick: Picking the desired mask from multiple candidates in click-based interactive segmentation
C Yan, H Wang, J Liu, X Jiang, Y Hu, X Tang, G Kang, E Gavves
Neurocomputing, 128083, 2024
2024
Mining Open Semantics from CLIP: A Relation Transition Perspective for Few-Shot Learning
C Yan, H Wang, X Jiang, Y Hu, X Tang, G Kang, E Gavves
arXiv preprint arXiv:2406.11252, 2024
2024
Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
DM Knigge, DR Wessels, R Valperga, S Papa, JJ Sonke, E Gavves, ...
arXiv preprint arXiv:2406.06660, 2024
2024
Grounding Continuous Representations in Geometry: Equivariant Neural Fields
DR Wessels, DM Knigge, S Papa, R Valperga, S Vadgama, E Gavves, ...
arXiv preprint arXiv:2406.05753, 2024
12024
Amortized Equation Discovery in Hybrid Dynamical Systems
Y Liu, S Magliacane, M Kofinas, E Gavves
arXiv preprint arXiv:2406.03818, 2024
2024
Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps
E Egorov, R Valperga, E Gavves
arXiv preprint arXiv:2406.02490, 2024
2024
OV-VIS: Open-Vocabulary Video Instance Segmentation
H Wang, C Yan, K Chen, X Jiang, X Tang, Y Hu, G Kang, W Xie, E Gavves
International Journal of Computer Vision, 1-18, 2024
2024
Efficient neural causal discovery
P Lippe, TS Cohen, E Gavves
US Patent App. 18/551,844, 2024
2024
Domain Adaptation with Cauchy-Schwarz Divergence
W Yin, S Yu, Y Lin, J Liu, JJ Sonke, E Gavves
arXiv preprint arXiv:2405.19978, 2024
2024
Self-supervised visual learning in the low-data regime: a comparative evaluation
S Konstantakos, DI Chalkiadaki, I Mademlis, YM Asano, E Gavves, ...
arXiv preprint arXiv:2404.17202, 2024
2024
Permutation invariant convolution (pic) for recognizing long-range activities
NME Hussein, E Gavves, AWM Smeulders
US Patent App. 17/769,246, 2024
2024
Context-driven learning of human-object interactions
M Kilickaya, NME Hussein, E Gavves, AWM Smeulders
US Patent App. 17/769,269, 2024
2024
Mechanistic Interpretability for AI Safety--A Review
L Bereska, E Gavves
arXiv preprint arXiv:2404.14082, 2024
72024
Graph neural networks for learning equivariant representations of neural networks
M Kofinas, B Knyazev, Y Zhang, Y Chen, GJ Burghouts, E Gavves, ...
arXiv preprint arXiv:2403.12143, 2024
92024
Dynamic Prototype Adaptation with Distillation for Few-shot Point Cloud Segmentation
J Liu, W Yin, H Wang, Y Chen, JJ Sonke, E Gavves
2024 International Conference on 3D Vision (3DV), 810-819, 2024
2024
Data-driven Lie point symmetry detection for continuous dynamical systems
A Gabel, R Quax, E Gavves
Machine Learning: Science and Technology 5 (1), 015037, 2024
12024
Mechanistic neural networks for scientific machine learning
A Pervez, F Locatello, E Gavves
arXiv preprint arXiv:2402.13077, 2024
22024
Modulated Neural ODEs
IA Auzina, Ç Yıldız, S Magliacane, M Bethge, E Gavves
Advances in Neural Information Processing Systems 36, 2024
22024
Latent field discovery in interacting dynamical systems with neural fields
MM Kofinas, E Bekkers, N Nagaraja, E Gavves
Advances in Neural Information Processing Systems 36, 2024
42024
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
S Papa, R Valperga, D Knigge, M Kofinas, P Lippe, JJ Sonke, E Gavves
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024
12024
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