Jasper Uijlings
I am a research scientist at Google working with Vittorio Ferrari on human-machine collaboration for large scale image annotation for both object detection and image segmentation.
I received my PhD in 2011 at the University of Amsterdam (UvA) under supervision of Prof. Dr.Ir. A. Smeulders and Prof. Dr. Ir. R. Scha. During this period, I was part of the UvA team which successfully participated in the PASCAL VOC Challenges, winning the classification challenge in 2008, receiving honorable mentions from 2009-2011, and winning object detection in 2012, the fi nal year of the competition. In 2011 we won the ILSVRC object detection challenge. From 2011-2013 I was a researcher at the University of Trento, Italy, where I worked on real-time video classification and on combining vision and language. From 2014-2015 I worked at the University of Edinburgh with Prof.Dr. Vittorio Ferrari on object boundary detection, weakly supervised object localisation, and efficient annotation for object detection.
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Google
Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories
Lluis Castrejon
Arushi Goel
Felipe Cadar
Vittorio Ferrari
ICCV (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
Transferability Estimation using Bhattacharyya Class Separability
Michal Pandy
Andrea Agostinelli
Vittorio Ferrari
CVPR (2022)
How stable are Transferability Metrics evaluations?
Andrea Agostinelli
Michal Pandy
Vittorio Ferrari
ECCV (2022)
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)
The Open Images Dataset V4: Unified image classification, object detection, and visual relationship detection at scale
Mohamad Hassan Mohamad Rom
Neil Alldrin
Ivan Krasin
Matteo Malloci
Alexander Kolesnikov
Vittorio Ferrari
IJCV (2020) (to appear)
Training Neural Networks to Produce Compatible Features
Michael Gygli
Vittorio Ferrari
CVPR Workshop on Compositionality in Computer Vision (2020)
