429 citations · 880 across the 60 of their papers we have counts for
10 papers · 1 filter
Learning Intelligent Dialogs for Bounding Box Annotation
Ksenia Konyushkova, Jasper Uijlings, Christoph Lampert +1
We introduce Intelligent Annotation Dialogs for bounding box annotation. We train an agent to automatically choose a sequence of actions for a human annotator to produce a bounding…
Automatic Generation of Constrained Furniture Layouts
Paul Henderson, Kartic Subr, Vittorio Ferrari
Efficient authoring of vast virtual environments hinges on algorithms that are able to automatically generate content while also being controllable. We propose a method to automati…
Extreme clicking for efficient object annotation
Dim P. Papadopoulos, Jasper R. R. Uijlings, Frank Keller +1
Manually annotating object bounding boxes is central to building computer vision datasets, and it is very time consuming (annotating ILSVRC [53] took 35s for one high-quality box […
Revisiting knowledge transfer for training object class detectors
Jasper Uijlings, Stefan Popov, Vittorio Ferrari
We propose to revisit knowledge transfer for training object detectors on target classes from weakly supervised training images, helped by a set of source classes with bounding-box…
The Devil is in the Decoder: Classification, Regression and GANs
Zbigniew Wojna, Vittorio Ferrari, Sergio Guadarrama +4
Many machine vision applications, such as semantic segmentation and depth prediction, require predictions for every pixel of the input image. Models for such problems usually consi…
How hard can it be? Estimating the difficulty of visual search in an image
Radu Tudor Ionescu, Bogdan Alexe, Marius Leordeanu +3
We address the problem of estimating image difficulty defined as the human response time for solving a visual search task. We collect human annotations of image difficulty for the…