10.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- M. de Rijke37 · h 84
- Mohammad Aliannejadi2 profiles19 · h 27
- E. Kanoulas17 · h 41
- Harrie Oosterhuis2 profiles17 · h 21
- Maarten de Rijke14 · h 18
- Ali Vardasbi2 profiles7 · h 9
- M. D. Rijke7 · h 18
- M. Welling7 · h 95
- Svitlana Vakulenko6 · h 17
- J. Kamps5 · h 44
- Mostafa Dehghani2 profiles5 · h 42
- Stevan Rudinac5 · h 18
- University of AmsterdamNL235 papers
- Radboud University NijmegenNL80 papers
- Boston UniversityUS68 papers
- University of ManchesterGB68 papers
- University of Science and Technology of ChinaCN68 papers
- Aix-Marseille UniversitéFR67 papers
- Ann Arbor Center for Independent LivingUS67 papers
- Brookhaven National LaboratoryUS67 papers
- Charles UniversityCZ67 papers
- Columbia UniversityUS67 papers
- Indiana University BloomingtonUS67 papers
- Iowa State UniversityUS67 papers
5 papers · 1 filter
Elastoformer: Enabling Dynamic Adaptivity via Elastic Model Transformation
Sudaksh Kalra, Dolly Sapra
EdgeAI systems are increasingly employing computer vision applications to enable intelligent, on-device decision-making in real-time. However, these deployments face highly dynamic…
Artifacts of Idiosyncracy in Global Street View Data
Tim Alpherts, Sennay Ghebreab, Nanne van Noord
Street view data is increasingly being used in computer vision applications in recent years. Machine learning datasets are collected for these applications using simple sampling te…
NeuralMeshing: Differentiable Meshing of Implicit Neural Representations
Mathias Vetsch, Sandro Lombardi, Marc Pollefeys +1
The generation of triangle meshes from point clouds, i.e. meshing, is a core task in computer graphics and computer vision. Traditional techniques directly construct a surface mesh…
Motion-Augmented Self-Training for Video Recognition at Smaller Scale
Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov +1
The goal of this paper is to self-train a 3D convolutional neural network on an unlabeled video collection for deployment on small-scale video collections. As smaller video dataset…
Graph Neural Networks for Knowledge Enhanced Visual Representation of Paintings
Athanasios Efthymiou, Stevan Rudinac, Monika Kackovic +2
We propose ArtSAGENet, a novel multimodal architecture that integrates Graph Neural Networks (GNNs) and Convolutional Neural Networks (CNNs), to jointly learn visual and semantic-b…