11 citations · 13 across the 11 of their papers we have counts for
10 papers · 1 filter
MuPPet: Multi-person 2D-to-3D Pose Lifting
Thomas Markhorst, Zhi-Yi Lin, Jouh Yeong Chew +2
Multi-person social interactions are inherently built on coherence and relationships among all individuals within the group, making multi-person localization and body pose estimati…
Assessing Situational and Spatial Awareness of VLMs with Synthetically Generated Video
Pascal Benschop, Justin Dauwels, Jan van Gemert
Spatial reasoning in vision language models (VLMs) remains fragile when semantics hinge on subtle temporal or geometric cues. We introduce a synthetic benchmark that probes two com…
LayoutGKN: Graph Similarity Learning of Floor Plans
Casper van Engelenburg, Jan van Gemert, Seyran Khademi
Floor plans depict building layouts and are often represented as graphs to capture the underlying spatial relationships. Comparison of these graphs is critical for applications lik…
Learning to Adapt to Position Bias in Vision Transformer Classifiers
Robert-Jan Bruintjes, Jan van Gemert
How discriminative position information is for image classification depends on the data. On the one hand, the camera position is arbitrary and objects can appear anywhere in the im…
End-to-End Implicit Neural Representations for Classification
Alexander Gielisse, Jan van Gemert
Implicit neural representations (INRs) such as NeRF and SIREN encode a signal in neural network parameters and show excellent results for signal reconstruction. Using INRs for down…
ARC: Anchored Representation Clouds for High-Resolution INR Classification
Joost Luijmes, Alexander Gielisse, Roman Knyazhitskiy +1
Implicit neural representations (INRs) encode signals in neural network weights as a memory-efficient representation, decoupling sampling resolution from the associated resource co…
VIPriors 4: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista Rios +4
The fourth edition of the "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" workshop features two data-impaired challenges. These challenges address the problem…
Color Equivariant Convolutional Networks
Attila Lengyel, Ombretta Strafforello, Robert-Jan Bruintjes +2
Color is a crucial visual cue readily exploited by Convolutional Neural Networks (CNNs) for object recognition. However, CNNs struggle if there is data imbalance between color vari…
VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Attila Lengyel, Robert-Jan Bruintjes, Marcos Baptista Rios +4
The second edition of the "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" challenges featured five data-impaired challenges, where models are trained from scra…
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges
Robert-Jan Bruintjes, Attila Lengyel, Marcos Baptista Rios +2
We present the first edition of "VIPriors: Visual Inductive Priors for Data-Efficient Deep Learning" challenges. We offer four data-impaired challenges, where models are trained fr…