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Floris Weers
Floris Weers
Apple
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MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
B McKinzie, Z Gan, JP Fauconnier, S Dodge, B Zhang, P Dufter, D Shah, ...
arXiv preprint arXiv:2403.09611, 2024
1792024
Ferret-ui: Grounded mobile ui understanding with multimodal llms
K You, H Zhang, E Schoop, F Weers, A Swearngin, J Nichols, Y Yang, ...
European Conference on Computer Vision, 240-255, 2025
692025
Apple Intelligence Foundation Language Models
T Gunter, Z Wang, C Wang, R Pang, A Narayanan, A Zhang, B Zhang, ...
arXiv preprint arXiv:2407.21075, 2024
282024
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
F Weers, V Shankar, A Katharopoulos, Y Yang, T Gunter
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
142023
Controllable Music Production with Diffusion Models and Guidance Gradients
M Levy, B Di Giorgi, F Weers, A Katharopoulos, T Nickson
arXiv preprint arXiv:2311.00613, 2023
132023
Theory, Analysis, and Best Practices for Sigmoid Self-Attention
J Ramapuram, F Danieli, E Dhekane, F Weers, D Busbridge, P Ablin, ...
arXiv preprint arXiv:2409.04431, 2024
82024
Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
E Daxberger, F Weers, B Zhang, T Gunter, R Pang, M Eichner, ...
arXiv preprint arXiv:2309.04354, 2023
72023
MaskCLIP: masking improves transfer for visual models trained with natural language supervision
FRT Weers
University of Twente, 2022
2022
Bias in Automated Image Colorization: Metrics and Error Types
F Stapel, F Weers, D Bucur
arXiv preprint arXiv:2202.08143, 2022
2022
Automatic home video editing on music
FRT Weers
University of Twente, 2019
2019
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