Thomas Mensink
I am a research scientist working on Computer Vision and Deep Learning.
Other research interests include: (learning) image representations, dense prediction tasks, zero-shot learning, metric learning and structured predictions all applied on image classification and retrieval tasks. My work has been awarded -among others- by the ECCV Koenderink Prize (2020), a NWO VENI Grant (2015), the ACM Multimedia Best Paper Award (2014), and the ACM ICMR Best Paper Award (2016).
For a full list of (pre-Google) publications see Google Scholar or personal website
Other research interests include: (learning) image representations, dense prediction tasks, zero-shot learning, metric learning and structured predictions all applied on image classification and retrieval tasks. My work has been awarded -among others- by the ECCV Koenderink Prize (2020), a NWO VENI Grant (2015), the ACM Multimedia Best Paper Award (2014), and the ACM ICMR Best Paper Award (2016).
For a full list of (pre-Google) publications see Google Scholar or personal website
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Scaling Vision Transformers to 22 Billion Parameters
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Justin Gilmer
Mathilde Caron
Rodolphe Jenatton
Lucas Beyer
Michael Tschannen
Anurag Arnab
Carlos Riquelme
Matthias Minderer
Gamaleldin Elsayed
Fisher Yu
Avital Oliver
Fantine Huot
Mark Collier
Vighnesh Birodkar
Yi Tay
Alexander Kolesnikov
Filip Pavetić
Thomas Kipf
Xiaohua Zhai
Neil Houlsby
Arxiv (2023)
How (not) to ensemble LVLMs for VQA
Lisa Alazraki
Lluis Castrejon
Fantine Huot
"I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
Lluis Castrejon
Arushi Goel
Felipe Cadar
Vittorio Ferrari
ICCV (2023)
How stable are Transferability Metrics evaluations?
Andrea Agostinelli
Michal Pandy
Vittorio Ferrari
ECCV (2022)
Transferability Estimation using Bhattacharyya Class Separability
Michal Pandy
Andrea Agostinelli
Vittorio Ferrari
CVPR (2022)
Automatic generation of dense non-rigid optical flow
Hoang-An Le
Anil Baslamisli
Tushar Nimbhorkar
Sezer Karaoglu
Theo Gevers
Computer Vision and Image Understanding (CVIU) (2021)
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types
Michael Gygli
Vittorio Ferrari
Transactions on Pattern Analysis and Machine Intelligence (TPAMI) (2021)
